update version number to 2.0.1

merge 953719: fix 4x4 inverse
backporting rev 951682 (compilation fix in aligned allocator)
2026-04-10 11:34:33 +08:00 · 2009-04-14 14:32:00 +00:00 · 2009-04-14 13:43:21 +00:00 · 2009-04-09 21:23:25 +00:00 · 2009-04-09 12:05:36 +00:00 · 2009-03-31 16:08:06 +00:00
1247 changed files with 28662 additions and 174428 deletions
--- a/.hgeol
+++ b/.hgeol
@@ -1,8 +0,0 @@
-[patterns]
-scripts/*.in = LF
-debug/msvc/*.dat = CRLF
-unsupported/test/mpreal/*.* = CRLF
-** = native
-
-[repository]
-native = LF
--- a/.hgignore
+++ b/.hgignore
@@ -1,32 +0,0 @@
-syntax: glob
-qrc_*cxx
-*.orig
-*.pyc
-*.diff
-diff
-*.save
-save
-*.old
-*.gmo
-*.qm
-core
-core.*
-*.bak
-*~
-build*
-*.moc.*
-*.moc
-ui_*
-CMakeCache.txt
-tags
-.*.swp
-activity.png
-*.out
-*.php*
-*.log
-*.orig
-*.rej
-log
-patch
-a
-a.*
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -1,378 +1,102 @@
 project(Eigen)
+set(EIGEN_VERSION_NUMBER "2.0.1")
+
+#if the svnversion program is absent, this will leave the SVN_REVISION string empty,
+#but won't stop CMake.
+execute_process(COMMAND svnversion -n ${CMAKE_SOURCE_DIR}
+                OUTPUT_VARIABLE EIGEN_SVNVERSION_OUTPUT)
+
+#we only want EIGEN_SVN_REVISION if it is an actual revision number, not a string like "exported"
+string(REGEX MATCH "^[0-9]+.*" EIGEN_SVN_REVISION "${EIGEN_SVNVERSION_OUTPUT}")
+
+if(EIGEN_SVN_REVISION)
+  set(EIGEN_VERSION "${EIGEN_VERSION_NUMBER} (SVN revision ${EIGEN_SVN_REVISION})")
+else(EIGEN_SVN_REVISION)
+  set(EIGEN_VERSION "${EIGEN_VERSION_NUMBER}")
+endif(EIGEN_SVN_REVISION)

 cmake_minimum_required(VERSION 2.6.2)

-# guard against in-source builds
-
-if(${CMAKE_SOURCE_DIR} STREQUAL ${CMAKE_BINARY_DIR})
-  message(FATAL_ERROR "In-source builds not allowed. Please make a new directory (called a build directory) and run CMake from there. You may need to remove CMakeCache.txt. ")
-endif()
-
-# guard against bad build-type strings
-
-if (NOT CMAKE_BUILD_TYPE)
-  set(CMAKE_BUILD_TYPE "Release")
-endif()
-
-string(TOLOWER "${CMAKE_BUILD_TYPE}" cmake_build_type_tolower)
-if(    NOT cmake_build_type_tolower STREQUAL "debug"
-   AND NOT cmake_build_type_tolower STREQUAL "release"
-   AND NOT cmake_build_type_tolower STREQUAL "relwithdebinfo")
-  message(FATAL_ERROR "Unknown build type \"${CMAKE_BUILD_TYPE}\". Allowed values are Debug, Release, RelWithDebInfo (case-insensitive).")
-endif()
-
-
-#############################################################################
-# retrieve version infomation                                               #
-#############################################################################
-
-# automatically parse the version number
-file(READ "${PROJECT_SOURCE_DIR}/Eigen/src/Core/util/Macros.h" _eigen_version_header)
-string(REGEX MATCH "define[ \t]+EIGEN_WORLD_VERSION[ \t]+([0-9]+)" _eigen_world_version_match "${_eigen_version_header}")
-set(EIGEN_WORLD_VERSION "${CMAKE_MATCH_1}")
-string(REGEX MATCH "define[ \t]+EIGEN_MAJOR_VERSION[ \t]+([0-9]+)" _eigen_major_version_match "${_eigen_version_header}")
-set(EIGEN_MAJOR_VERSION "${CMAKE_MATCH_1}")
-string(REGEX MATCH "define[ \t]+EIGEN_MINOR_VERSION[ \t]+([0-9]+)" _eigen_minor_version_match "${_eigen_version_header}")
-set(EIGEN_MINOR_VERSION "${CMAKE_MATCH_1}")
-set(EIGEN_VERSION_NUMBER ${EIGEN_WORLD_VERSION}.${EIGEN_MAJOR_VERSION}.${EIGEN_MINOR_VERSION})
-
-# if the mercurial program is absent, this will leave the EIGEN_HG_CHANGESET string empty,
-# but won't stop CMake.
-execute_process(COMMAND hg tip -R ${CMAKE_SOURCE_DIR} OUTPUT_VARIABLE EIGEN_HGTIP_OUTPUT)
-execute_process(COMMAND hg branch -R ${CMAKE_SOURCE_DIR} OUTPUT_VARIABLE EIGEN_BRANCH_OUTPUT)
-
-# if this is the default (aka development) branch, extract the mercurial changeset number from the hg tip output...
-if(EIGEN_BRANCH_OUTPUT MATCHES "default")
-string(REGEX MATCH "^changeset: *[0-9]*:([0-9;a-f]+).*" EIGEN_HG_CHANGESET_MATCH "${EIGEN_HGTIP_OUTPUT}")
-set(EIGEN_HG_CHANGESET "${CMAKE_MATCH_1}")
-endif(EIGEN_BRANCH_OUTPUT MATCHES "default")
-#...and show it next to the version number
-if(EIGEN_HG_CHANGESET)
-  set(EIGEN_VERSION "${EIGEN_VERSION_NUMBER} (mercurial changeset ${EIGEN_HG_CHANGESET})")
-else(EIGEN_HG_CHANGESET)
-  set(EIGEN_VERSION "${EIGEN_VERSION_NUMBER}")
-endif(EIGEN_HG_CHANGESET)
-
-
-include(CheckCXXCompilerFlag)
-
 set(CMAKE_MODULE_PATH ${PROJECT_SOURCE_DIR}/cmake)

-#############################################################################
-# find how to link to the standard libraries                                #
-#############################################################################
-
-find_package(StandardMathLibrary)
-
-
-set(EIGEN_TEST_CUSTOM_LINKER_FLAGS  "" CACHE STRING "Additional linker flags when linking unit tests.")
-set(EIGEN_TEST_CUSTOM_CXX_FLAGS     "" CACHE STRING "Additional compiler flags when compiling unit tests.")
-
-set(EIGEN_STANDARD_LIBRARIES_TO_LINK_TO "")
-
-if(NOT STANDARD_MATH_LIBRARY_FOUND)
-
-  message(FATAL_ERROR
-    "Can't link to the standard math library. Please report to the Eigen developers, telling them about your platform.")
-
-else()
-
-  if(EIGEN_STANDARD_LIBRARIES_TO_LINK_TO)
-    set(EIGEN_STANDARD_LIBRARIES_TO_LINK_TO "${EIGEN_STANDARD_LIBRARIES_TO_LINK_TO} ${STANDARD_MATH_LIBRARY}")
-  else()
-    set(EIGEN_STANDARD_LIBRARIES_TO_LINK_TO "${STANDARD_MATH_LIBRARY}")
-  endif()
-
-endif()
-
-if(EIGEN_STANDARD_LIBRARIES_TO_LINK_TO)
-  message(STATUS "Standard libraries to link to explicitly: ${EIGEN_STANDARD_LIBRARIES_TO_LINK_TO}")
-else()
-  message(STATUS "Standard libraries to link to explicitly: none")
-endif()
-
-option(EIGEN_BUILD_BTL "Build benchmark suite" OFF)
+option(EIGEN_BUILD_TESTS "Build tests" OFF)
+option(EIGEN_BUILD_DEMOS "Build demos" OFF)
 if(NOT WIN32)
-  option(EIGEN_BUILD_PKGCONFIG "Build pkg-config .pc file for Eigen" ON)
+  option(EIGEN_BUILD_LIB "Build the binary shared library" OFF)
 endif(NOT WIN32)
+option(EIGEN_BUILD_BTL "Build benchmark suite" OFF)
+
+if(EIGEN_BUILD_LIB)
+  option(EIGEN_TEST_LIB "Build the unit tests using the library (disable -pedantic)" OFF)
+endif(EIGEN_BUILD_LIB)

 set(CMAKE_INCLUDE_CURRENT_DIR ON)

-option(EIGEN_SPLIT_LARGE_TESTS "Split large tests into smaller executables" ON)
-
-option(EIGEN_DEFAULT_TO_ROW_MAJOR "Use row-major as default matrix storage order" OFF)
-if(EIGEN_DEFAULT_TO_ROW_MAJOR)
-  add_definitions("-DEIGEN_DEFAULT_TO_ROW_MAJOR")
-endif()
-
-add_definitions("-DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS")
-
-set(EIGEN_TEST_MAX_SIZE "320" CACHE STRING "Maximal matrix/vector size, default is 320")
-
 if(CMAKE_COMPILER_IS_GNUCXX)
-  set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wnon-virtual-dtor -Wno-long-long -ansi -Wundef -Wcast-align -Wchar-subscripts -Wall -W -Wpointer-arith -Wwrite-strings -Wformat-security -fexceptions -fno-check-new -fno-common -fstrict-aliasing")
-  set(CMAKE_CXX_FLAGS_DEBUG "-g3")
-  set(CMAKE_CXX_FLAGS_RELEASE "-g0 -O2")
+  if(CMAKE_SYSTEM_NAME MATCHES Linux)
+    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wnon-virtual-dtor -Wno-long-long -ansi -Wundef -Wcast-align -Wchar-subscripts -Wall -W -Wpointer-arith -Wwrite-strings -Wformat-security -Wextra -fno-exceptions -fno-check-new -fno-common -fstrict-aliasing")
+    if(NOT EIGEN_TEST_LIB)
+      set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -pedantic")
+    endif(NOT EIGEN_TEST_LIB)

-  check_cxx_compiler_flag("-Wno-variadic-macros" COMPILER_SUPPORT_WNOVARIADICMACRO)
-  if(COMPILER_SUPPORT_WNOVARIADICMACRO)
-    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-variadic-macros")
-  endif()
+    option(EIGEN_TEST_SSE2 "Enable/Disable SSE2 in tests/examples" OFF)
+    if(EIGEN_TEST_SSE2)
+      set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -msse2")
+      message("Enabling SSE2 in tests/examples")
+    endif(EIGEN_TEST_SSE2)

-  check_cxx_compiler_flag("-Wextra" COMPILER_SUPPORT_WEXTRA)
-  if(COMPILER_SUPPORT_WEXTRA)
-    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wextra")
-  endif()
+    option(EIGEN_TEST_SSE3 "Enable/Disable SSE3 in tests/examples" OFF)
+    if(EIGEN_TEST_SSE3)
+      set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -msse3")
+      message("Enabling SSE3 in tests/examples")
+    endif(EIGEN_TEST_SSE3)

-  set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -pedantic")
+    option(EIGEN_TEST_SSSE3 "Enable/Disable SSSE3 in tests/examples" OFF)
+    if(EIGEN_TEST_SSSE3)
+      set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -mssse3")
+      message("Enabling SSSE3 in tests/examples")
+    endif(EIGEN_TEST_SSSE3)

-  option(EIGEN_TEST_SSE2 "Enable/Disable SSE2 in tests/examples" OFF)
-  if(EIGEN_TEST_SSE2)
-    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -msse2")
-    message(STATUS "Enabling SSE2 in tests/examples")
-  endif()
-
-  option(EIGEN_TEST_SSE3 "Enable/Disable SSE3 in tests/examples" OFF)
-  if(EIGEN_TEST_SSE3)
-    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -msse3")
-    message(STATUS "Enabling SSE3 in tests/examples")
-  endif()
-
-  option(EIGEN_TEST_SSSE3 "Enable/Disable SSSE3 in tests/examples" OFF)
-  if(EIGEN_TEST_SSSE3)
-    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -mssse3")
-    message(STATUS "Enabling SSSE3 in tests/examples")
-  endif()
-
-  option(EIGEN_TEST_SSE4_1 "Enable/Disable SSE4.1 in tests/examples" OFF)
-  if(EIGEN_TEST_SSE4_1)
-    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -msse4.1")
-    message(STATUS "Enabling SSE4.1 in tests/examples")
-  endif()
-
-  option(EIGEN_TEST_SSE4_2 "Enable/Disable SSE4.2 in tests/examples" OFF)
-  if(EIGEN_TEST_SSE4_2)
-    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -msse4.2")
-    message(STATUS "Enabling SSE4.2 in tests/examples")
-  endif()
-
-  option(EIGEN_TEST_ALTIVEC "Enable/Disable AltiVec in tests/examples" OFF)
-  if(EIGEN_TEST_ALTIVEC)
-    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -maltivec -mabi=altivec")
-    message(STATUS "Enabling AltiVec in tests/examples")
-  endif()
-
-  option(EIGEN_TEST_NEON "Enable/Disable Neon in tests/examples" OFF)
-  if(EIGEN_TEST_NEON)
-    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -mfpu=neon -mcpu=cortex-a8")
-    message(STATUS "Enabling NEON in tests/examples")
-  endif()
-
-  check_cxx_compiler_flag("-fopenmp" COMPILER_SUPPORT_OPENMP)
-  if(COMPILER_SUPPORT_OPENMP)
-    option(EIGEN_TEST_OPENMP "Enable/Disable OpenMP in tests/examples" OFF)
-    if(EIGEN_TEST_OPENMP)
-      set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fopenmp")
-      message(STATUS "Enabling OpenMP in tests/examples")
-    endif()
-  endif()
+    option(EIGEN_TEST_ALTIVEC "Enable/Disable altivec in tests/examples" OFF)
+    if(EIGEN_TEST_ALTIVEC)
+      set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -maltivec -mabi=altivec")
+      message("Enabling AltiVec in tests/examples")
+    endif(EIGEN_TEST_ALTIVEC)

+  endif(CMAKE_SYSTEM_NAME MATCHES Linux)
 endif(CMAKE_COMPILER_IS_GNUCXX)

 if(MSVC)
-  # C4127 - conditional expression is constant
-  # C4714 - marked as __forceinline not inlined (I failed to deactivate it selectively)
-  #         We can disable this warning in the unit tests since it is clear that it occurs
-  #         because we are oftentimes returning objects that have a destructor or may
-  #         throw exceptions - in particular in the unit tests we are throwing extra many
-  #         exceptions to cover indexing errors.
-  # C4505 - unreferenced local function has been removed (impossible to deactive selectively)
-  set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /EHsc /wd4127 /wd4505 /wd4714")
-
-  # replace all /Wx by /W4
-  string(REGEX REPLACE "/W[0-9]" "/W4" CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS}")
-
-  check_cxx_compiler_flag("/openmp" COMPILER_SUPPORT_OPENMP)
-  if(COMPILER_SUPPORT_OPENMP)
-    option(EIGEN_TEST_OPENMP "Enable/Disable OpenMP in tests/examples" OFF)
-    if(EIGEN_TEST_OPENMP)
-      set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /openmp")
-      message(STATUS "Enabling OpenMP in tests/examples")
-    endif()
-  endif()
+  set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ")

  option(EIGEN_TEST_SSE2 "Enable/Disable SSE2 in tests/examples" OFF)
  if(EIGEN_TEST_SSE2)
-    if(NOT CMAKE_CL_64)
-      # arch is not supported on 64 bit systems, SSE is enabled automatically.
-      set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /arch:SSE2")
-    endif(NOT CMAKE_CL_64)
-    message(STATUS "Enabling SSE2 in tests/examples")
+    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /arch:SSE2")
+    message("Enabling SSE2 in tests/examples")
  endif(EIGEN_TEST_SSE2)
 endif(MSVC)

 option(EIGEN_TEST_NO_EXPLICIT_VECTORIZATION "Disable explicit vectorization in tests/examples" OFF)
-option(EIGEN_TEST_X87 "Force using X87 instructions. Implies no vectorization." OFF)
-option(EIGEN_TEST_32BIT "Force generating 32bit code." OFF)
-
-if(EIGEN_TEST_X87)
-  set(EIGEN_TEST_NO_EXPLICIT_VECTORIZATION ON)
-  if(CMAKE_COMPILER_IS_GNUCXX)
-    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -mfpmath=387")
-    message(STATUS "Forcing use of x87 instructions in tests/examples")
-  else()
-    message(STATUS "EIGEN_TEST_X87 ignored on your compiler")
-  endif()
-endif()
-
-if(EIGEN_TEST_32BIT)
-  if(CMAKE_COMPILER_IS_GNUCXX)
-    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -m32")
-    message(STATUS "Forcing generation of 32-bit code in tests/examples")
-  else()
-    message(STATUS "EIGEN_TEST_32BIT ignored on your compiler")
-  endif()
-endif()
-
 if(EIGEN_TEST_NO_EXPLICIT_VECTORIZATION)
  add_definitions(-DEIGEN_DONT_VECTORIZE=1)
-  message(STATUS "Disabling vectorization in tests/examples")
-endif()
-
-option(EIGEN_TEST_NO_EXPLICIT_ALIGNMENT "Disable explicit alignment (hence vectorization) in tests/examples" OFF)
-if(EIGEN_TEST_NO_EXPLICIT_ALIGNMENT)
-  add_definitions(-DEIGEN_DONT_ALIGN=1)
-  message(STATUS "Disabling alignment in tests/examples")
-endif()
-
-option(EIGEN_TEST_C++0x "Enables all C++0x features." OFF)
+  message("Disabling vectorization in tests/examples")
+endif(EIGEN_TEST_NO_EXPLICIT_VECTORIZATION)

 include_directories(${CMAKE_CURRENT_SOURCE_DIR} ${CMAKE_CURRENT_BINARY_DIR})

-# the user modifiable install path for header files
-set(EIGEN_INCLUDE_INSTALL_DIR ${EIGEN_INCLUDE_INSTALL_DIR} CACHE PATH "The directory where we install the header files (optional)")
-
-# set the internal install path for header files which depends on wether the user modifiable
-# EIGEN_INCLUDE_INSTALL_DIR has been set by the user or not.
-if(EIGEN_INCLUDE_INSTALL_DIR)
-  set(INCLUDE_INSTALL_DIR
-    ${EIGEN_INCLUDE_INSTALL_DIR}
-    CACHE INTERNAL
-    "The directory where we install the header files (internal)"
-  )
-else()
-  set(INCLUDE_INSTALL_DIR
-    "${CMAKE_INSTALL_PREFIX}/include/eigen3"
-    CACHE INTERNAL
-    "The directory where we install the header files (internal)"
-  )
-endif()
-
-# similar to set_target_properties but append the property instead of overwriting it
-macro(ei_add_target_property target prop value)
-
-  get_target_property(previous ${target} ${prop})
-  # if the property wasn't previously set, ${previous} is now "previous-NOTFOUND" which cmake allows catching with plain if()
-  if(NOT previous)
-    set(previous "")
-  endif(NOT previous)
-  set_target_properties(${target} PROPERTIES ${prop} "${previous} ${value}")
-endmacro(ei_add_target_property)
-
-install(FILES
-  signature_of_eigen3_matrix_library
-  DESTINATION ${INCLUDE_INSTALL_DIR} COMPONENT Devel
-  )
-
-if(EIGEN_BUILD_PKGCONFIG)
-    SET(path_separator ":")
-    STRING(REPLACE ${path_separator} ";" pkg_config_libdir_search "$ENV{PKG_CONFIG_LIBDIR}")
-    message(STATUS "searching for 'pkgconfig' directory in PKG_CONFIG_LIBDIR ( $ENV{PKG_CONFIG_LIBDIR} ), ${CMAKE_INSTALL_PREFIX}/share, and ${CMAKE_INSTALL_PREFIX}/lib")
-    FIND_PATH(pkg_config_libdir pkgconfig ${pkg_config_libdir_search} ${CMAKE_INSTALL_PREFIX}/share ${CMAKE_INSTALL_PREFIX}/lib ${pkg_config_libdir_search})
-    if(pkg_config_libdir)
-        SET(pkg_config_install_dir ${pkg_config_libdir})
-        message(STATUS "found ${pkg_config_libdir}/pkgconfig" )
-    else(pkg_config_libdir)
-        SET(pkg_config_install_dir ${CMAKE_INSTALL_PREFIX}/share)
-        message(STATUS "pkgconfig not found; installing in ${pkg_config_install_dir}" )
-    endif(pkg_config_libdir)
-
-    configure_file(eigen3.pc.in eigen3.pc)
-    install(FILES ${CMAKE_CURRENT_BINARY_DIR}/eigen3.pc
-        DESTINATION ${pkg_config_install_dir}/pkgconfig
-        )
-endif(EIGEN_BUILD_PKGCONFIG)
-
 add_subdirectory(Eigen)

-add_subdirectory(doc EXCLUDE_FROM_ALL)
+if(EIGEN_BUILD_TESTS)
+  include(CTest)
+  add_subdirectory(test)
+endif(EIGEN_BUILD_TESTS)

-include(EigenConfigureTesting)
-# fixme, not sure this line is still needed:
-enable_testing() # must be called from the root CMakeLists, see man page
+add_subdirectory(doc)

+if(EIGEN_BUILD_DEMOS)
+  add_subdirectory(demos)
+endif(EIGEN_BUILD_DEMOS)

-if(EIGEN_LEAVE_TEST_IN_ALL_TARGET)
-  add_subdirectory(test) # can't do EXCLUDE_FROM_ALL here, breaks CTest
-else()
-  add_subdirectory(test EXCLUDE_FROM_ALL)
-endif()
-
-if(EIGEN_LEAVE_TEST_IN_ALL_TARGET)
-  add_subdirectory(blas)
-  add_subdirectory(lapack)
-else()
-  add_subdirectory(blas EXCLUDE_FROM_ALL)
-  add_subdirectory(lapack EXCLUDE_FROM_ALL)
-endif()
-
-add_subdirectory(unsupported)
-
-add_subdirectory(demos EXCLUDE_FROM_ALL)
-
-# must be after test and unsupported, for configuring buildtests.in
-add_subdirectory(scripts EXCLUDE_FROM_ALL)
-
-# TODO: consider also replacing EIGEN_BUILD_BTL by a custom target "make btl"?
 if(EIGEN_BUILD_BTL)
-  add_subdirectory(bench/btl EXCLUDE_FROM_ALL)
+  add_subdirectory(bench/btl)
 endif(EIGEN_BUILD_BTL)
-
-if(NOT WIN32)
-  add_subdirectory(bench/spbench EXCLUDE_FROM_ALL)
-endif(NOT WIN32)
-
-ei_testing_print_summary()
-
-message(STATUS "")
-message(STATUS "Configured Eigen ${EIGEN_VERSION_NUMBER}")
-message(STATUS "")
-
-option(EIGEN_FAILTEST "Enable failtests." OFF)
-if(EIGEN_FAILTEST)
-  add_subdirectory(failtest)
-endif()
-
-string(TOLOWER "${CMAKE_GENERATOR}" cmake_generator_tolower)
-if(cmake_generator_tolower MATCHES "makefile")
-  message(STATUS "Some things you can do now:")
-  message(STATUS "--------------+--------------------------------------------------------------")
-  message(STATUS "Command       |   Description")
-  message(STATUS "--------------+--------------------------------------------------------------")
-  message(STATUS "make install  | Install to ${CMAKE_INSTALL_PREFIX}. To change that:")
-  message(STATUS "              |     cmake . -DCMAKE_INSTALL_PREFIX=yourpath")
-  message(STATUS "              |   Eigen headers will then be installed to:")
-  message(STATUS "              |     ${INCLUDE_INSTALL_DIR}")
-  message(STATUS "              |   To install Eigen headers to a separate location, do:")
-  message(STATUS "              |     cmake . -DEIGEN_INCLUDE_INSTALL_DIR=yourpath")
-  message(STATUS "make doc      | Generate the API documentation, requires Doxygen & LaTeX")
-  message(STATUS "make check    | Build and run the unit-tests. Read this page:")
-  message(STATUS "              |   http://eigen.tuxfamily.org/index.php?title=Tests")
-  message(STATUS "make blas     | Build BLAS library (not the same thing as Eigen)")
-  message(STATUS "--------------+--------------------------------------------------------------")
-else()
-  message(STATUS "To build/run the unit tests, read this page:")
-  message(STATUS "  http://eigen.tuxfamily.org/index.php?title=Tests")
-endif()
-
-message(STATUS "")
--- a/COPYING.GPL
+++ b/COPYING.GPL
--- a/COPYING.BSD
+++ b/COPYING.BSD
@@ -1,26 +0,0 @@
-/*
- Copyright (c) 2011, Intel Corporation. All rights reserved.
-
- Redistribution and use in source and binary forms, with or without modification,
- are permitted provided that the following conditions are met:
-
- * Redistributions of source code must retain the above copyright notice, this
-   list of conditions and the following disclaimer.
- * Redistributions in binary form must reproduce the above copyright notice,
-   this list of conditions and the following disclaimer in the documentation
-   and/or other materials provided with the distribution.
- * Neither the name of Intel Corporation nor the names of its contributors may
-   be used to endorse or promote products derived from this software without
-   specific prior written permission.
-
- THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
- ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
- WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
- DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
- ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
- (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
- LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
- ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
- (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
- SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
-*/
--- a/COPYING.LESSER
+++ b/COPYING.LESSER
@@ -1,4 +1,4 @@
-                  GNU LESSER GENERAL PUBLIC LICENSE
+		   GNU LESSER GENERAL PUBLIC LICENSE
                       Version 3, 29 June 2007

 Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/>
--- a/CTestConfig.cmake
+++ b/CTestConfig.cmake
@@ -3,11 +3,11 @@
 ## project to incorporate the testing dashboard.
 ## # The following are required to uses Dart and the Cdash dashboard
 ##   ENABLE_TESTING()
-##   INCLUDE(CTest)
+##   INCLUDE(Dart)
 set(CTEST_PROJECT_NAME "Eigen")
-set(CTEST_NIGHTLY_START_TIME "00:00:00 UTC")
+set(CTEST_NIGHTLY_START_TIME "05:00:00 UTC")

 set(CTEST_DROP_METHOD "http")
-set(CTEST_DROP_SITE "manao.inria.fr")
-set(CTEST_DROP_LOCATION "/CDash/submit.php?project=Eigen")
+set(CTEST_DROP_SITE "www.cdash.org")
+set(CTEST_DROP_LOCATION "/CDashPublic/submit.php?project=Eigen")
 set(CTEST_DROP_SITE_CDASH TRUE)
--- a/CTestCustom.cmake.in
+++ b/CTestCustom.cmake.in
@@ -1,4 +0,0 @@
-
-## A tribute to Dynamic!
-set(CTEST_CUSTOM_MAXIMUM_NUMBER_OF_WARNINGS "33331")
-set(CTEST_CUSTOM_MAXIMUM_NUMBER_OF_ERRORS "33331")
--- a/281
+++ b/281
@@ -0,0 +1,281 @@
+# Doxyfile 1.5.3
+
+#---------------------------------------------------------------------------
+# Project related configuration options
+#---------------------------------------------------------------------------
+DOXYFILE_ENCODING      = UTF-8
+PROJECT_NAME           = Eigen
+PROJECT_NUMBER         = 2.0
+OUTPUT_DIRECTORY       = ./
+CREATE_SUBDIRS         = NO
+OUTPUT_LANGUAGE        = English
+BRIEF_MEMBER_DESC      = YES
+REPEAT_BRIEF           = YES
+ABBREVIATE_BRIEF       = "The $name class" \
+                         "The $name widget" \
+                         "The $name file" \
+                         is \
+                         provides \
+                         specifies \
+                         contains \
+                         represents \
+                         a \
+                         an \
+                         the
+ALWAYS_DETAILED_SEC    = NO
+INLINE_INHERITED_MEMB  = NO
+FULL_PATH_NAMES        = NO
+STRIP_FROM_PATH        = 
+STRIP_FROM_INC_PATH    = 
+SHORT_NAMES            = NO
+JAVADOC_AUTOBRIEF      = NO
+QT_AUTOBRIEF           = NO
+MULTILINE_CPP_IS_BRIEF = NO
+DETAILS_AT_TOP         = NO
+INHERIT_DOCS           = YES
+SEPARATE_MEMBER_PAGES  = NO
+TAB_SIZE               = 8
+ALIASES                = 
+OPTIMIZE_OUTPUT_FOR_C  = NO
+OPTIMIZE_OUTPUT_JAVA   = NO
+BUILTIN_STL_SUPPORT    = NO
+CPP_CLI_SUPPORT        = NO
+DISTRIBUTE_GROUP_DOC   = NO
+SUBGROUPING            = YES
+#---------------------------------------------------------------------------
+# Build related configuration options
+#---------------------------------------------------------------------------
+EXTRACT_ALL            = NO
+EXTRACT_PRIVATE        = NO
+EXTRACT_STATIC         = NO
+EXTRACT_LOCAL_CLASSES  = NO
+EXTRACT_LOCAL_METHODS  = NO
+EXTRACT_ANON_NSPACES   = NO
+HIDE_UNDOC_MEMBERS     = YES
+HIDE_UNDOC_CLASSES     = YES
+HIDE_FRIEND_COMPOUNDS  = YES
+HIDE_IN_BODY_DOCS      = NO
+INTERNAL_DOCS          = NO
+CASE_SENSE_NAMES       = YES
+HIDE_SCOPE_NAMES       = YES
+SHOW_INCLUDE_FILES     = YES
+INLINE_INFO            = YES
+SORT_MEMBER_DOCS       = YES
+SORT_BRIEF_DOCS        = NO
+SORT_BY_SCOPE_NAME     = NO
+GENERATE_TODOLIST      = YES
+GENERATE_TESTLIST      = YES
+GENERATE_BUGLIST       = YES
+GENERATE_DEPRECATEDLIST= YES
+ENABLED_SECTIONS       = 
+MAX_INITIALIZER_LINES  = 30
+SHOW_USED_FILES        = YES
+SHOW_DIRECTORIES       = NO
+FILE_VERSION_FILTER    = 
+#---------------------------------------------------------------------------
+# configuration options related to warning and progress messages
+#---------------------------------------------------------------------------
+QUIET                  = NO
+WARNINGS               = YES
+WARN_IF_UNDOCUMENTED   = YES
+WARN_IF_DOC_ERROR      = YES
+WARN_NO_PARAMDOC       = NO
+WARN_FORMAT            = "$file:$line: $text"
+WARN_LOGFILE           = 
+#---------------------------------------------------------------------------
+# configuration options related to the input files
+#---------------------------------------------------------------------------
+INPUT                  = ./
+INPUT_ENCODING         = UTF-8
+FILE_PATTERNS          = *.c \
+                         *.cc \
+                         *.cxx \
+                         *.cpp \
+                         *.c++ \
+                         *.d \
+                         *.java \
+                         *.ii \
+                         *.ixx \
+                         *.ipp \
+                         *.i++ \
+                         *.inl \
+                         *.h \
+                         *.hh \
+                         *.hxx \
+                         *.hpp \
+                         *.h++ \
+                         *.idl \
+                         *.odl \
+                         *.cs \
+                         *.php \
+                         *.php3 \
+                         *.inc \
+                         *.m \
+                         *.mm \
+                         *.dox \
+                         *.py \
+                         *.C \
+                         *.CC \
+                         *.C++ \
+                         *.II \
+                         *.I++ \
+                         *.H \
+                         *.HH \
+                         *.H++ \
+                         *.CS \
+                         *.PHP \
+                         *.PHP3 \
+                         *.M \
+                         *.MM \
+                         *.PY
+RECURSIVE              = NO
+EXCLUDE                = 
+EXCLUDE_SYMLINKS       = NO
+EXCLUDE_PATTERNS       = 
+EXCLUDE_SYMBOLS        = 
+EXAMPLE_PATH           = doc/examples/
+EXAMPLE_PATTERNS       = *
+EXAMPLE_RECURSIVE      = NO
+IMAGE_PATH             = 
+INPUT_FILTER           = 
+FILTER_PATTERNS        = 
+FILTER_SOURCE_FILES    = NO
+#---------------------------------------------------------------------------
+# configuration options related to source browsing
+#---------------------------------------------------------------------------
+SOURCE_BROWSER         = NO
+INLINE_SOURCES         = NO
+STRIP_CODE_COMMENTS    = YES
+REFERENCED_BY_RELATION = YES
+REFERENCES_RELATION    = YES
+REFERENCES_LINK_SOURCE = YES
+USE_HTAGS              = NO
+VERBATIM_HEADERS       = YES
+#---------------------------------------------------------------------------
+# configuration options related to the alphabetical class index
+#---------------------------------------------------------------------------
+ALPHABETICAL_INDEX     = NO
+COLS_IN_ALPHA_INDEX    = 5
+IGNORE_PREFIX          = 
+#---------------------------------------------------------------------------
+# configuration options related to the HTML output
+#---------------------------------------------------------------------------
+GENERATE_HTML          = YES
+HTML_OUTPUT            = html
+HTML_FILE_EXTENSION    = .html
+HTML_HEADER            = 
+HTML_FOOTER            = 
+HTML_STYLESHEET        = 
+HTML_ALIGN_MEMBERS     = YES
+GENERATE_HTMLHELP      = NO
+HTML_DYNAMIC_SECTIONS  = NO
+CHM_FILE               = 
+HHC_LOCATION           = 
+GENERATE_CHI           = NO
+BINARY_TOC             = NO
+TOC_EXPAND             = NO
+DISABLE_INDEX          = NO
+ENUM_VALUES_PER_LINE   = 4
+GENERATE_TREEVIEW      = NO
+TREEVIEW_WIDTH         = 250
+#---------------------------------------------------------------------------
+# configuration options related to the LaTeX output
+#---------------------------------------------------------------------------
+GENERATE_LATEX         = YES
+LATEX_OUTPUT           = latex
+LATEX_CMD_NAME         = latex
+MAKEINDEX_CMD_NAME     = makeindex
+COMPACT_LATEX          = NO
+PAPER_TYPE             = a4wide
+EXTRA_PACKAGES         = 
+LATEX_HEADER           = 
+PDF_HYPERLINKS         = NO
+USE_PDFLATEX           = NO
+LATEX_BATCHMODE        = NO
+LATEX_HIDE_INDICES     = NO
+#---------------------------------------------------------------------------
+# configuration options related to the RTF output
+#---------------------------------------------------------------------------
+GENERATE_RTF           = NO
+RTF_OUTPUT             = rtf
+COMPACT_RTF            = NO
+RTF_HYPERLINKS         = NO
+RTF_STYLESHEET_FILE    = 
+RTF_EXTENSIONS_FILE    = 
+#---------------------------------------------------------------------------
+# configuration options related to the man page output
+#---------------------------------------------------------------------------
+GENERATE_MAN           = NO
+MAN_OUTPUT             = man
+MAN_EXTENSION          = .3
+MAN_LINKS              = NO
+#---------------------------------------------------------------------------
+# configuration options related to the XML output
+#---------------------------------------------------------------------------
+GENERATE_XML           = NO
+XML_OUTPUT             = xml
+XML_SCHEMA             = 
+XML_DTD                = 
+XML_PROGRAMLISTING     = YES
+#---------------------------------------------------------------------------
+# configuration options for the AutoGen Definitions output
+#---------------------------------------------------------------------------
+GENERATE_AUTOGEN_DEF   = NO
+#---------------------------------------------------------------------------
+# configuration options related to the Perl module output
+#---------------------------------------------------------------------------
+GENERATE_PERLMOD       = NO
+PERLMOD_LATEX          = NO
+PERLMOD_PRETTY         = YES
+PERLMOD_MAKEVAR_PREFIX = 
+#---------------------------------------------------------------------------
+# Configuration options related to the preprocessor   
+#---------------------------------------------------------------------------
+ENABLE_PREPROCESSING   = YES
+MACRO_EXPANSION        = NO
+EXPAND_ONLY_PREDEF     = NO
+SEARCH_INCLUDES        = YES
+INCLUDE_PATH           = 
+INCLUDE_FILE_PATTERNS  = 
+PREDEFINED             = 
+EXPAND_AS_DEFINED      = 
+SKIP_FUNCTION_MACROS   = YES
+#---------------------------------------------------------------------------
+# Configuration::additions related to external references   
+#---------------------------------------------------------------------------
+TAGFILES               = 
+GENERATE_TAGFILE       = 
+ALLEXTERNALS           = NO
+EXTERNAL_GROUPS        = YES
+PERL_PATH              = /usr/bin/perl
+#---------------------------------------------------------------------------
+# Configuration options related to the dot tool   
+#---------------------------------------------------------------------------
+CLASS_DIAGRAMS         = YES
+MSCGEN_PATH            = 
+HIDE_UNDOC_RELATIONS   = YES
+HAVE_DOT               = YES
+CLASS_GRAPH            = YES
+COLLABORATION_GRAPH    = YES
+GROUP_GRAPHS           = YES
+UML_LOOK               = NO
+TEMPLATE_RELATIONS     = NO
+INCLUDE_GRAPH          = YES
+INCLUDED_BY_GRAPH      = YES
+CALL_GRAPH             = NO
+CALLER_GRAPH           = NO
+GRAPHICAL_HIERARCHY    = YES
+DIRECTORY_GRAPH        = YES
+DOT_IMAGE_FORMAT       = png
+DOT_PATH               = 
+DOTFILE_DIRS           = 
+DOT_GRAPH_MAX_NODES    = 50
+MAX_DOT_GRAPH_DEPTH    = 1000
+DOT_TRANSPARENT        = NO
+DOT_MULTI_TARGETS      = NO
+GENERATE_LEGEND        = YES
+DOT_CLEANUP            = YES
+#---------------------------------------------------------------------------
+# Configuration::additions related to the search engine   
+#---------------------------------------------------------------------------
+SEARCHENGINE           = NO
--- a/Eigen/Array
+++ b/Eigen/Array
@@ -1,11 +1,39 @@
 #ifndef EIGEN_ARRAY_MODULE_H
 #define EIGEN_ARRAY_MODULE_H

-// include Core first to handle Eigen2 support macros
 #include "Core"

-#ifndef EIGEN2_SUPPORT
-  #error The Eigen/Array header does no longer exist in Eigen3. All that functionality has moved to Eigen/Core.
-#endif
+#include "src/Core/util/DisableMSVCWarnings.h"
+
+namespace Eigen {
+
+/** \defgroup Array_Module Array module
+  * This module provides several handy features to manipulate matrices as simple array of values.
+  * In addition to listed classes, it defines various methods of the Cwise interface
+  * (accessible from MatrixBase::cwise()), including:
+  *  - matrix-scalar sum,
+  *  - coeff-wise comparison operators,
+  *  - sin, cos, sqrt, pow, exp, log, square, cube, inverse (reciprocal).
+  *
+  * This module also provides various MatrixBase methods, including:
+  *  - \ref MatrixBase::all() "all", \ref MatrixBase::any() "any",
+  *  - \ref MatrixBase::Random() "random matrix initialization"
+  *
+  * \code
+  * #include <Eigen/Array>
+  * \endcode
+  */
+
+#include "src/Array/CwiseOperators.h"
+#include "src/Array/Functors.h"
+#include "src/Array/BooleanRedux.h"
+#include "src/Array/Select.h"
+#include "src/Array/PartialRedux.h"
+#include "src/Array/Random.h"
+#include "src/Array/Norms.h"
+
+} // namespace Eigen
+
+#include "src/Core/util/EnableMSVCWarnings.h"

 #endif // EIGEN_ARRAY_MODULE_H
--- a/Eigen/CMakeLists.txt
+++ b/Eigen/CMakeLists.txt
@@ -1,19 +1,34 @@
-include(RegexUtils)
-test_escape_string_as_regex()
+set(Eigen_HEADERS Core LU Cholesky QR Geometry Sparse Array SVD LeastSquares QtAlignedMalloc StdVector)

-file(GLOB Eigen_directory_files "*")
+if(EIGEN_BUILD_LIB)
+    set(Eigen_SRCS
+      src/Core/CoreInstantiations.cpp
+      src/Cholesky/CholeskyInstantiations.cpp
+      src/QR/QrInstantiations.cpp
+    )

-escape_string_as_regex(ESCAPED_CMAKE_CURRENT_SOURCE_DIR "${CMAKE_CURRENT_SOURCE_DIR}")
+    add_library(Eigen2 SHARED ${Eigen_SRCS})

-foreach(f ${Eigen_directory_files})
-  if(NOT f MATCHES "\\.txt" AND NOT f MATCHES "${ESCAPED_CMAKE_CURRENT_SOURCE_DIR}/[.].+" AND NOT f MATCHES "${ESCAPED_CMAKE_CURRENT_SOURCE_DIR}/src")
-    list(APPEND Eigen_directory_files_to_install ${f})
-  endif()
-endforeach(f ${Eigen_directory_files})
+    install(TARGETS Eigen2
+            RUNTIME DESTINATION bin
+            LIBRARY DESTINATION lib
+            ARCHIVE DESTINATION lib)
+endif(EIGEN_BUILD_LIB)
+
+if(CMAKE_COMPILER_IS_GNUCXX)
+    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -g1 -O2")
+    set(CMAKE_CXX_FLAGS_RELWITHDEBINFO "${CMAKE_CXX_FLAGS_RELWITHDEBINFO} -g1 -O2")
+endif(CMAKE_COMPILER_IS_GNUCXX)
+
+set(INCLUDE_INSTALL_DIR
+    "${CMAKE_INSTALL_PREFIX}/include/eigen2"
+    CACHE PATH
+    "The directory where we install the header files"
+    FORCE)

 install(FILES
-  ${Eigen_directory_files_to_install}
-  DESTINATION ${INCLUDE_INSTALL_DIR}/Eigen COMPONENT Devel
+  ${Eigen_HEADERS}
+  DESTINATION ${INCLUDE_INSTALL_DIR}/Eigen
  )

 add_subdirectory(src)
--- a/Eigen/Cholesky
+++ b/Eigen/Cholesky
@@ -3,11 +3,22 @@

 #include "Core"

-#include "src/Core/util/DisableStupidWarnings.h"
+#include "src/Core/util/DisableMSVCWarnings.h"
+
+// Note that EIGEN_HIDE_HEAVY_CODE has to be defined per module
+#if (defined EIGEN_EXTERN_INSTANTIATIONS) && (EIGEN_EXTERN_INSTANTIATIONS>=2)
+  #ifndef EIGEN_HIDE_HEAVY_CODE
+  #define EIGEN_HIDE_HEAVY_CODE
+  #endif
+#elif defined EIGEN_HIDE_HEAVY_CODE
+  #undef EIGEN_HIDE_HEAVY_CODE
+#endif
+
+namespace Eigen {

 /** \defgroup Cholesky_Module Cholesky module
  *
-  *
+  * \nonstableyet
  *
  * This module provides two variants of the Cholesky decomposition for selfadjoint (hermitian) matrices.
  * Those decompositions are accessible via the following MatrixBase methods:
@@ -19,14 +30,36 @@
  * \endcode
  */

-#include "src/misc/Solve.h"
+#include "src/Array/CwiseOperators.h"
+#include "src/Array/Functors.h"
 #include "src/Cholesky/LLT.h"
 #include "src/Cholesky/LDLT.h"
-#ifdef EIGEN_USE_LAPACKE
-#include "src/Cholesky/LLT_MKL.h"
+
+} // namespace Eigen
+
+#define EIGEN_CHOLESKY_MODULE_INSTANTIATE_TYPE(MATRIXTYPE,PREFIX) \
+  PREFIX template class Cholesky<MATRIXTYPE>; \
+  PREFIX template class CholeskyWithoutSquareRoot<MATRIXTYPE>
+
+#define EIGEN_CHOLESKY_MODULE_INSTANTIATE(PREFIX) \
+  EIGEN_CHOLESKY_MODULE_INSTANTIATE_TYPE(Matrix2f,PREFIX); \
+  EIGEN_CHOLESKY_MODULE_INSTANTIATE_TYPE(Matrix2d,PREFIX); \
+  EIGEN_CHOLESKY_MODULE_INSTANTIATE_TYPE(Matrix3f,PREFIX); \
+  EIGEN_CHOLESKY_MODULE_INSTANTIATE_TYPE(Matrix3d,PREFIX); \
+  EIGEN_CHOLESKY_MODULE_INSTANTIATE_TYPE(Matrix4f,PREFIX); \
+  EIGEN_CHOLESKY_MODULE_INSTANTIATE_TYPE(Matrix4d,PREFIX); \
+  EIGEN_CHOLESKY_MODULE_INSTANTIATE_TYPE(MatrixXf,PREFIX); \
+  EIGEN_CHOLESKY_MODULE_INSTANTIATE_TYPE(MatrixXd,PREFIX); \
+  EIGEN_CHOLESKY_MODULE_INSTANTIATE_TYPE(MatrixXcf,PREFIX); \
+  EIGEN_CHOLESKY_MODULE_INSTANTIATE_TYPE(MatrixXcd,PREFIX)
+
+#ifdef EIGEN_EXTERN_INSTANTIATIONS
+
+namespace Eigen {
+  EIGEN_CHOLESKY_MODULE_INSTANTIATE(extern);
+} // namespace Eigen
 #endif

-#include "src/Core/util/ReenableStupidWarnings.h"
+#include "src/Core/util/EnableMSVCWarnings.h"

 #endif // EIGEN_CHOLESKY_MODULE_H
-/* vim: set filetype=cpp et sw=2 ts=2 ai: */
--- a/Eigen/CholmodSupport
+++ b/Eigen/CholmodSupport
@@ -1,45 +0,0 @@
-#ifndef EIGEN_CHOLMODSUPPORT_MODULE_H
-#define EIGEN_CHOLMODSUPPORT_MODULE_H
-
-#include "SparseCore"
-
-#include "src/Core/util/DisableStupidWarnings.h"
-
-extern "C" {
-  #include <cholmod.h>
-}
-
-/** \ingroup Support_modules
-  * \defgroup CholmodSupport_Module CholmodSupport module
-  *
-  * This module provides an interface to the Cholmod library which is part of the <a href="http://www.cise.ufl.edu/research/sparse/SuiteSparse/">suitesparse</a> package.
-  * It provides the two following main factorization classes:
-  * - class CholmodSupernodalLLT: a supernodal LLT Cholesky factorization.
-  * - class CholmodDecomposiiton: a general L(D)LT Cholesky factorization with automatic or explicit runtime selection of the underlying factorization method (supernodal or simplicial).
-  *
-  * For the sake of completeness, this module also propose the two following classes:
-  * - class CholmodSimplicialLLT
-  * - class CholmodSimplicialLDLT
-  * Note that these classes does not bring any particular advantage compared to the built-in
-  * SimplicialLLT and SimplicialLDLT factorization classes.
-  *
-  * \code
-  * #include <Eigen/CholmodSupport>
-  * \endcode
-  *
-  * In order to use this module, the cholmod headers must be accessible from the include paths, and your binary must be linked to the cholmod library and its dependencies.
-  * The dependencies depend on how cholmod has been compiled.
-  * For a cmake based project, you can use our FindCholmod.cmake module to help you in this task.
-  *
-  */
-
-#include "src/misc/Solve.h"
-#include "src/misc/SparseSolve.h"
-
-#include "src/CholmodSupport/CholmodSupport.h"
-
-
-#include "src/Core/util/ReenableStupidWarnings.h"
-
-#endif // EIGEN_CHOLMODSUPPORT_MODULE_H
-
--- a/Eigen/Core
+++ b/Eigen/Core
@@ -1,122 +1,44 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
-// Copyright (C) 2007-2011 Benoit Jacob <jacob.benoit.1@gmail.com>
-//
-// Eigen is free software; you can redistribute it and/or
-// modify it under the terms of the GNU Lesser General Public
-// License as published by the Free Software Foundation; either
-// version 3 of the License, or (at your option) any later version.
-//
-// Alternatively, you can redistribute it and/or
-// modify it under the terms of the GNU General Public License as
-// published by the Free Software Foundation; either version 2 of
-// the License, or (at your option) any later version.
-//
-// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
-// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
-// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU Lesser General Public
-// License and a copy of the GNU General Public License along with
-// Eigen. If not, see <http://www.gnu.org/licenses/>.
-
 #ifndef EIGEN_CORE_H
 #define EIGEN_CORE_H

-// first thing Eigen does: stop the compiler from committing suicide
-#include "src/Core/util/DisableStupidWarnings.h"
-
-// then include this file where all our macros are defined. It's really important to do it first because
-// it's where we do all the alignment settings (platform detection and honoring the user's will if he
-// defined e.g. EIGEN_DONT_ALIGN) so it needs to be done before we do anything with vectorization.
-#include "src/Core/util/Macros.h"
-
-#include <complex>
-
-// this include file manages BLAS and MKL related macros
-// and inclusion of their respective header files
-#include "src/Core/util/MKL_support.h"
-
-// if alignment is disabled, then disable vectorization. Note: EIGEN_ALIGN is the proper check, it takes into
-// account both the user's will (EIGEN_DONT_ALIGN) and our own platform checks
-#if !EIGEN_ALIGN
-  #ifndef EIGEN_DONT_VECTORIZE
-    #define EIGEN_DONT_VECTORIZE
-  #endif
-#endif
+// first thing Eigen does: prevent MSVC from committing suicide
+#include "src/Core/util/DisableMSVCWarnings.h"

 #ifdef _MSC_VER
  #include <malloc.h> // for _aligned_malloc -- need it regardless of whether vectorization is enabled
  #if (_MSC_VER >= 1500) // 2008 or later
-    // Remember that usage of defined() in a #define is undefined by the standard.
-    // a user reported that in 64-bit mode, MSVC doesn't care to define _M_IX86_FP.
-    #if (defined(_M_IX86_FP) && (_M_IX86_FP >= 2)) || defined(_M_X64)
-      #define EIGEN_SSE2_ON_MSVC_2008_OR_LATER
-    #endif
-  #endif
-#else
-  // Remember that usage of defined() in a #define is undefined by the standard
-  #if (defined __SSE2__) && ( (!defined __GNUC__) || EIGEN_GNUC_AT_LEAST(4,2) )
-    #define EIGEN_SSE2_ON_NON_MSVC_BUT_NOT_OLD_GCC
+    // Remember that usage of defined() in a #define is undefined by the standard
+    #ifdef _M_IX86_FP
+      #if _M_IX86_FP >= 2
+        #define EIGEN_SSE2_ON_MSVC_2008_OR_LATER
+      #endif
+    #endif   
  #endif
 #endif

+#ifdef __GNUC__
+  #define EIGEN_GNUC_AT_LEAST(x,y) ((__GNUC__>=x && __GNUC_MINOR__>=y) || __GNUC__>x)
+#else
+  #define EIGEN_GNUC_AT_LEAST(x,y) 0
+#endif
+
+// Remember that usage of defined() in a #define is undefined by the standard
+#if (defined __SSE2__) && ( (!defined __GNUC__) || EIGEN_GNUC_AT_LEAST(4,2) )
+  #define EIGEN_SSE2_BUT_NOT_OLD_GCC
+#endif
+
 #ifndef EIGEN_DONT_VECTORIZE
-
-  #if defined (EIGEN_SSE2_ON_NON_MSVC_BUT_NOT_OLD_GCC) || defined(EIGEN_SSE2_ON_MSVC_2008_OR_LATER)
-
-    // Defines symbols for compile-time detection of which instructions are
-    // used.
-    // EIGEN_VECTORIZE_YY is defined if and only if the instruction set YY is used
+  #if defined (EIGEN_SSE2_BUT_NOT_OLD_GCC) || defined(EIGEN_SSE2_ON_MSVC_2008_OR_LATER)
    #define EIGEN_VECTORIZE
    #define EIGEN_VECTORIZE_SSE
-    #define EIGEN_VECTORIZE_SSE2
-
-    // Detect sse3/ssse3/sse4:
-    // gcc and icc defines __SSE3__, ...
-    // there is no way to know about this on msvc. You can define EIGEN_VECTORIZE_SSE* if you
-    // want to force the use of those instructions with msvc.
+    #include <emmintrin.h>
+    #include <xmmintrin.h>
    #ifdef __SSE3__
-      #define EIGEN_VECTORIZE_SSE3
+      #include <pmmintrin.h>
    #endif
    #ifdef __SSSE3__
-      #define EIGEN_VECTORIZE_SSSE3
-    #endif
-    #ifdef __SSE4_1__
-      #define EIGEN_VECTORIZE_SSE4_1
-    #endif
-    #ifdef __SSE4_2__
-      #define EIGEN_VECTORIZE_SSE4_2
-    #endif
-
-    // include files
-
-    // This extern "C" works around a MINGW-w64 compilation issue
-    // https://sourceforge.net/tracker/index.php?func=detail&aid=3018394&group_id=202880&atid=983354
-    // In essence, intrin.h is included by windows.h and also declares intrinsics (just as emmintrin.h etc. below do).
-    // However, intrin.h uses an extern "C" declaration, and g++ thus complains of duplicate declarations
-    // with conflicting linkage.  The linkage for intrinsics doesn't matter, but at that stage the compiler doesn't know;
-    // so, to avoid compile errors when windows.h is included after Eigen/Core, ensure intrinsics are extern "C" here too.
-    // notice that since these are C headers, the extern "C" is theoretically needed anyways.
-    extern "C" {
-      #include <emmintrin.h>
-      #include <xmmintrin.h>
-      #ifdef  EIGEN_VECTORIZE_SSE3
-      #include <pmmintrin.h>
-      #endif
-      #ifdef EIGEN_VECTORIZE_SSSE3
      #include <tmmintrin.h>
-      #endif
-      #ifdef EIGEN_VECTORIZE_SSE4_1
-      #include <smmintrin.h>
-      #endif
-      #ifdef EIGEN_VECTORIZE_SSE4_2
-      #include <nmmintrin.h>
-      #endif
-    } // end extern "C"
+    #endif
  #elif defined __ALTIVEC__
    #define EIGEN_VECTORIZE
    #define EIGEN_VECTORIZE_ALTIVEC
@@ -126,53 +48,20 @@
    #undef bool
    #undef vector
    #undef pixel
-  #elif defined  __ARM_NEON__
-    #define EIGEN_VECTORIZE
-    #define EIGEN_VECTORIZE_NEON
-    #include <arm_neon.h>
  #endif
 #endif

-#if (defined _OPENMP) && (!defined EIGEN_DONT_PARALLELIZE)
-  #define EIGEN_HAS_OPENMP
-#endif
-
-#ifdef EIGEN_HAS_OPENMP
-#include <omp.h>
-#endif
-
-// MSVC for windows mobile does not have the errno.h file
-#if !(defined(_MSC_VER) && defined(_WIN32_WCE)) && !defined(__ARMCC_VERSION)
-#define EIGEN_HAS_ERRNO
-#endif
-
-#ifdef EIGEN_HAS_ERRNO
-#include <cerrno>
-#endif
-#include <cstddef>
 #include <cstdlib>
 #include <cmath>
+#include <complex>
 #include <cassert>
 #include <functional>
-#include <iosfwd>
+#include <iostream>
 #include <cstring>
 #include <string>
 #include <limits>
-#include <climits> // for CHAR_BIT
-// for min/max:
-#include <algorithm>

-// for outputting debug info
-#ifdef EIGEN_DEBUG_ASSIGN
-#include <iostream>
-#endif
-
-// required for __cpuid, needs to be included after cmath
-#if defined(_MSC_VER) && (defined(_M_IX86)||defined(_M_X64))
-  #include <intrin.h>
-#endif
-
-#if defined(_CPPUNWIND) || defined(__EXCEPTIONS)
+#if (defined(_CPPUNWIND) || defined(__EXCEPTIONS)) && !defined(EIGEN_NO_EXCEPTIONS)
  #define EIGEN_EXCEPTIONS
 #endif

@@ -180,67 +69,15 @@
  #include <new>
 #endif

-/** \brief Namespace containing all symbols from the %Eigen library. */
+// this needs to be done after all possible windows C header includes and before any Eigen source includes
+// (system C++ includes are supposed to be able to deal with this already):
+// windows.h defines min and max macros which would make Eigen fail to compile.
+#if defined(min) || defined(max)
+#error The preprocessor symbols 'min' or 'max' are defined. If you are compiling on Windows, do #define NOMINMAX to prevent windows.h from defining these symbols.
+#endif
+
 namespace Eigen {

-inline static const char *SimdInstructionSetsInUse(void) {
-#if defined(EIGEN_VECTORIZE_SSE4_2)
-  return "SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2";
-#elif defined(EIGEN_VECTORIZE_SSE4_1)
-  return "SSE, SSE2, SSE3, SSSE3, SSE4.1";
-#elif defined(EIGEN_VECTORIZE_SSSE3)
-  return "SSE, SSE2, SSE3, SSSE3";
-#elif defined(EIGEN_VECTORIZE_SSE3)
-  return "SSE, SSE2, SSE3";
-#elif defined(EIGEN_VECTORIZE_SSE2)
-  return "SSE, SSE2";
-#elif defined(EIGEN_VECTORIZE_ALTIVEC)
-  return "AltiVec";
-#elif defined(EIGEN_VECTORIZE_NEON)
-  return "ARM NEON";
-#else
-  return "None";
-#endif
-}
-
-} // end namespace Eigen
-
-#define STAGE10_FULL_EIGEN2_API             10
-#define STAGE20_RESOLVE_API_CONFLICTS       20
-#define STAGE30_FULL_EIGEN3_API             30
-#define STAGE40_FULL_EIGEN3_STRICTNESS      40
-#define STAGE99_NO_EIGEN2_SUPPORT           99
-
-#if   defined EIGEN2_SUPPORT_STAGE40_FULL_EIGEN3_STRICTNESS
-  #define EIGEN2_SUPPORT
-  #define EIGEN2_SUPPORT_STAGE STAGE40_FULL_EIGEN3_STRICTNESS
-#elif defined EIGEN2_SUPPORT_STAGE30_FULL_EIGEN3_API
-  #define EIGEN2_SUPPORT
-  #define EIGEN2_SUPPORT_STAGE STAGE30_FULL_EIGEN3_API
-#elif defined EIGEN2_SUPPORT_STAGE20_RESOLVE_API_CONFLICTS
-  #define EIGEN2_SUPPORT
-  #define EIGEN2_SUPPORT_STAGE STAGE20_RESOLVE_API_CONFLICTS
-#elif defined EIGEN2_SUPPORT_STAGE10_FULL_EIGEN2_API
-  #define EIGEN2_SUPPORT
-  #define EIGEN2_SUPPORT_STAGE STAGE10_FULL_EIGEN2_API
-#elif defined EIGEN2_SUPPORT
-  // default to stage 3, that's what it's always meant
-  #define EIGEN2_SUPPORT_STAGE30_FULL_EIGEN3_API
-  #define EIGEN2_SUPPORT_STAGE STAGE30_FULL_EIGEN3_API
-#else
-  #define EIGEN2_SUPPORT_STAGE STAGE99_NO_EIGEN2_SUPPORT
-#endif
-
-#ifdef EIGEN2_SUPPORT
-#undef minor
-#endif
-
-// we use size_t frequently and we'll never remember to prepend it with std:: everytime just to
-// ensure QNX/QCC support
-using std::size_t;
-// gcc 4.6.0 wants std:: for ptrdiff_t 
-using std::ptrdiff_t;
-
 /** \defgroup Core_Module Core module
  * This is the main module of Eigen providing dense matrix and vector support
  * (both fixed and dynamic size) with all the features corresponding to a BLAS library
@@ -251,10 +88,7 @@ using std::ptrdiff_t;
  * \endcode
  */

-/** \defgroup Support_modules Support modules [category]
-  * Category of modules which add support for external libraries.
-  */
-
+#include "src/Core/util/Macros.h"
 #include "src/Core/util/Constants.h"
 #include "src/Core/util/ForwardDeclarations.h"
 #include "src/Core/util/Meta.h"
@@ -268,114 +102,54 @@ using std::ptrdiff_t;

 #if defined EIGEN_VECTORIZE_SSE
  #include "src/Core/arch/SSE/PacketMath.h"
-  #include "src/Core/arch/SSE/MathFunctions.h"
-  #include "src/Core/arch/SSE/Complex.h"
 #elif defined EIGEN_VECTORIZE_ALTIVEC
  #include "src/Core/arch/AltiVec/PacketMath.h"
-  #include "src/Core/arch/AltiVec/Complex.h"
-#elif defined EIGEN_VECTORIZE_NEON
-  #include "src/Core/arch/NEON/PacketMath.h"
-  #include "src/Core/arch/NEON/Complex.h"
 #endif

-#include "src/Core/arch/Default/Settings.h"
+#ifndef EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD
+#define EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD 16
+#endif

 #include "src/Core/Functors.h"
-#include "src/Core/DenseCoeffsBase.h"
-#include "src/Core/DenseBase.h"
 #include "src/Core/MatrixBase.h"
-#include "src/Core/EigenBase.h"
+#include "src/Core/Coeffs.h"

 #ifndef EIGEN_PARSED_BY_DOXYGEN // work around Doxygen bug triggered by Assign.h r814874
                                // at least confirmed with Doxygen 1.5.5 and 1.5.6
  #include "src/Core/Assign.h"
 #endif

-#include "src/Core/util/BlasUtil.h"
-#include "src/Core/DenseStorage.h"
+#include "src/Core/MatrixStorage.h"
 #include "src/Core/NestByValue.h"
-#include "src/Core/ForceAlignedAccess.h"
-#include "src/Core/ReturnByValue.h"
-#include "src/Core/NoAlias.h"
-#include "src/Core/PlainObjectBase.h"
+#include "src/Core/Flagged.h"
 #include "src/Core/Matrix.h"
-#include "src/Core/Array.h"
+#include "src/Core/Cwise.h"
 #include "src/Core/CwiseBinaryOp.h"
 #include "src/Core/CwiseUnaryOp.h"
 #include "src/Core/CwiseNullaryOp.h"
-#include "src/Core/CwiseUnaryView.h"
-#include "src/Core/SelfCwiseBinaryOp.h"
 #include "src/Core/Dot.h"
-#include "src/Core/StableNorm.h"
+#include "src/Core/Product.h"
+#include "src/Core/DiagonalProduct.h"
+#include "src/Core/SolveTriangular.h"
 #include "src/Core/MapBase.h"
-#include "src/Core/Stride.h"
 #include "src/Core/Map.h"
 #include "src/Core/Block.h"
-#include "src/Core/VectorBlock.h"
+#include "src/Core/Minor.h"
 #include "src/Core/Transpose.h"
 #include "src/Core/DiagonalMatrix.h"
-#include "src/Core/Diagonal.h"
-#include "src/Core/DiagonalProduct.h"
-#include "src/Core/PermutationMatrix.h"
-#include "src/Core/Transpositions.h"
+#include "src/Core/DiagonalCoeffs.h"
+#include "src/Core/Sum.h"
 #include "src/Core/Redux.h"
 #include "src/Core/Visitor.h"
 #include "src/Core/Fuzzy.h"
 #include "src/Core/IO.h"
 #include "src/Core/Swap.h"
 #include "src/Core/CommaInitializer.h"
-#include "src/Core/Flagged.h"
-#include "src/Core/ProductBase.h"
-#include "src/Core/GeneralProduct.h"
-#include "src/Core/TriangularMatrix.h"
-#include "src/Core/SelfAdjointView.h"
-#include "src/Core/products/GeneralBlockPanelKernel.h"
-#include "src/Core/products/Parallelizer.h"
-#include "src/Core/products/CoeffBasedProduct.h"
-#include "src/Core/products/GeneralMatrixVector.h"
-#include "src/Core/products/GeneralMatrixMatrix.h"
-#include "src/Core/SolveTriangular.h"
-#include "src/Core/products/GeneralMatrixMatrixTriangular.h"
-#include "src/Core/products/SelfadjointMatrixVector.h"
-#include "src/Core/products/SelfadjointMatrixMatrix.h"
-#include "src/Core/products/SelfadjointProduct.h"
-#include "src/Core/products/SelfadjointRank2Update.h"
-#include "src/Core/products/TriangularMatrixVector.h"
-#include "src/Core/products/TriangularMatrixMatrix.h"
-#include "src/Core/products/TriangularSolverMatrix.h"
-#include "src/Core/products/TriangularSolverVector.h"
-#include "src/Core/BandMatrix.h"
+#include "src/Core/Part.h"
+#include "src/Core/CacheFriendlyProduct.h"

-#include "src/Core/BooleanRedux.h"
-#include "src/Core/Select.h"
-#include "src/Core/VectorwiseOp.h"
-#include "src/Core/Random.h"
-#include "src/Core/Replicate.h"
-#include "src/Core/Reverse.h"
-#include "src/Core/ArrayBase.h"
-#include "src/Core/ArrayWrapper.h"
+} // namespace Eigen

-#ifdef EIGEN_USE_BLAS
-#include "src/Core/products/GeneralMatrixMatrix_MKL.h"
-#include "src/Core/products/GeneralMatrixVector_MKL.h"
-#include "src/Core/products/GeneralMatrixMatrixTriangular_MKL.h"
-#include "src/Core/products/SelfadjointMatrixMatrix_MKL.h"
-#include "src/Core/products/SelfadjointMatrixVector_MKL.h"
-#include "src/Core/products/TriangularMatrixMatrix_MKL.h"
-#include "src/Core/products/TriangularMatrixVector_MKL.h"
-#include "src/Core/products/TriangularSolverMatrix_MKL.h"
-#endif // EIGEN_USE_BLAS
-
-#ifdef EIGEN_USE_MKL_VML
-#include "src/Core/Assign_MKL.h"
-#endif
-
-#include "src/Core/GlobalFunctions.h"
-
-#include "src/Core/util/ReenableStupidWarnings.h"
-
-#ifdef EIGEN2_SUPPORT
-#include "Eigen2Support"
-#endif
+#include "src/Core/util/EnableMSVCWarnings.h"

 #endif // EIGEN_CORE_H
--- a/Eigen/Dense
+++ b/Eigen/Dense
@@ -1,7 +0,0 @@
-#include "Core"
-#include "LU"
-#include "Cholesky"
-#include "QR"
-#include "SVD"
-#include "Geometry"
-#include "Eigenvalues"
--- a/Eigen/Eigen
+++ b/Eigen/Eigen
@@ -1,2 +0,0 @@
-#include "Dense"
-//#include "Sparse"
--- a/Eigen/Eigen2Support
+++ b/Eigen/Eigen2Support
@@ -1,97 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
-//
-// Eigen is free software; you can redistribute it and/or
-// modify it under the terms of the GNU Lesser General Public
-// License as published by the Free Software Foundation; either
-// version 3 of the License, or (at your option) any later version.
-//
-// Alternatively, you can redistribute it and/or
-// modify it under the terms of the GNU General Public License as
-// published by the Free Software Foundation; either version 2 of
-// the License, or (at your option) any later version.
-//
-// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
-// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
-// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU Lesser General Public
-// License and a copy of the GNU General Public License along with
-// Eigen. If not, see <http://www.gnu.org/licenses/>.
-
-#ifndef EIGEN2SUPPORT_H
-#define EIGEN2SUPPORT_H
-
-#if (!defined(EIGEN2_SUPPORT)) || (!defined(EIGEN_CORE_H))
-#error Eigen2 support must be enabled by defining EIGEN2_SUPPORT before including any Eigen header
-#endif
-
-#include "src/Core/util/DisableStupidWarnings.h"
-
-/** \ingroup Support_modules
-  * \defgroup Eigen2Support_Module Eigen2 support module
-  * This module provides a couple of deprecated functions improving the compatibility with Eigen2.
-  *
-  * To use it, define EIGEN2_SUPPORT before including any Eigen header
-  * \code
-  * #define EIGEN2_SUPPORT
-  * \endcode
-  *
-  */
-
-#include "src/Eigen2Support/Macros.h"
-#include "src/Eigen2Support/Memory.h"
-#include "src/Eigen2Support/Meta.h"
-#include "src/Eigen2Support/Lazy.h"
-#include "src/Eigen2Support/Cwise.h"
-#include "src/Eigen2Support/CwiseOperators.h"
-#include "src/Eigen2Support/TriangularSolver.h"
-#include "src/Eigen2Support/Block.h"
-#include "src/Eigen2Support/VectorBlock.h"
-#include "src/Eigen2Support/Minor.h"
-#include "src/Eigen2Support/MathFunctions.h"
-
-
-#include "src/Core/util/ReenableStupidWarnings.h"
-
-// Eigen2 used to include iostream
-#include<iostream>
-
-#define EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, SizeSuffix) \
-using Eigen::Matrix##SizeSuffix##TypeSuffix; \
-using Eigen::Vector##SizeSuffix##TypeSuffix; \
-using Eigen::RowVector##SizeSuffix##TypeSuffix;
-
-#define EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE(TypeSuffix) \
-EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, 2) \
-EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, 3) \
-EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, 4) \
-EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, X) \
-
-#define EIGEN_USING_MATRIX_TYPEDEFS \
-EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE(i) \
-EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE(f) \
-EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE(d) \
-EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE(cf) \
-EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE(cd)
-
-#define USING_PART_OF_NAMESPACE_EIGEN \
-EIGEN_USING_MATRIX_TYPEDEFS \
-using Eigen::Matrix; \
-using Eigen::MatrixBase; \
-using Eigen::ei_random; \
-using Eigen::ei_real; \
-using Eigen::ei_imag; \
-using Eigen::ei_conj; \
-using Eigen::ei_abs; \
-using Eigen::ei_abs2; \
-using Eigen::ei_sqrt; \
-using Eigen::ei_exp; \
-using Eigen::ei_log; \
-using Eigen::ei_sin; \
-using Eigen::ei_cos;
-
-#endif // EIGEN2SUPPORT_H
--- a/Eigen/Eigenvalues
+++ b/Eigen/Eigenvalues
@@ -1,46 +0,0 @@
-#ifndef EIGEN_EIGENVALUES_MODULE_H
-#define EIGEN_EIGENVALUES_MODULE_H
-
-#include "Core"
-
-#include "src/Core/util/DisableStupidWarnings.h"
-
-#include "Cholesky"
-#include "Jacobi"
-#include "Householder"
-#include "LU"
-#include "Geometry"
-
-/** \defgroup Eigenvalues_Module Eigenvalues module
-  *
-  *
-  *
-  * This module mainly provides various eigenvalue solvers.
-  * This module also provides some MatrixBase methods, including:
-  *  - MatrixBase::eigenvalues(),
-  *  - MatrixBase::operatorNorm()
-  *
-  * \code
-  * #include <Eigen/Eigenvalues>
-  * \endcode
-  */
-
-#include "src/Eigenvalues/Tridiagonalization.h"
-#include "src/Eigenvalues/RealSchur.h"
-#include "src/Eigenvalues/EigenSolver.h"
-#include "src/Eigenvalues/SelfAdjointEigenSolver.h"
-#include "src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h"
-#include "src/Eigenvalues/HessenbergDecomposition.h"
-#include "src/Eigenvalues/ComplexSchur.h"
-#include "src/Eigenvalues/ComplexEigenSolver.h"
-#include "src/Eigenvalues/MatrixBaseEigenvalues.h"
-#ifdef EIGEN_USE_LAPACKE
-#include "src/Eigenvalues/RealSchur_MKL.h"
-#include "src/Eigenvalues/ComplexSchur_MKL.h"
-#include "src/Eigenvalues/SelfAdjointEigenSolver_MKL.h"
-#endif
-
-#include "src/Core/util/ReenableStupidWarnings.h"
-
-#endif // EIGEN_EIGENVALUES_MODULE_H
-/* vim: set filetype=cpp et sw=2 ts=2 ai: */
--- a/Eigen/Geometry
+++ b/Eigen/Geometry
@@ -3,19 +3,20 @@

 #include "Core"

-#include "src/Core/util/DisableStupidWarnings.h"
+#include "src/Core/util/DisableMSVCWarnings.h"

-#include "SVD"
-#include "LU"
+#include "Array"
 #include <limits>

 #ifndef M_PI
 #define M_PI 3.14159265358979323846
 #endif

+namespace Eigen {
+
 /** \defgroup Geometry_Module Geometry module
  *
-  *
+  * \nonstableyet
  *
  * This module provides support for:
  *  - fixed-size homogeneous transformations
@@ -31,33 +32,20 @@
  */

 #include "src/Geometry/OrthoMethods.h"
+#include "src/Geometry/RotationBase.h"
+#include "src/Geometry/Rotation2D.h"
+#include "src/Geometry/Quaternion.h"
+#include "src/Geometry/AngleAxis.h"
 #include "src/Geometry/EulerAngles.h"
+#include "src/Geometry/Transform.h"
+#include "src/Geometry/Translation.h"
+#include "src/Geometry/Scaling.h"
+#include "src/Geometry/Hyperplane.h"
+#include "src/Geometry/ParametrizedLine.h"
+#include "src/Geometry/AlignedBox.h"

-#if EIGEN2_SUPPORT_STAGE > STAGE20_RESOLVE_API_CONFLICTS
-  #include "src/Geometry/Homogeneous.h"
-  #include "src/Geometry/RotationBase.h"
-  #include "src/Geometry/Rotation2D.h"
-  #include "src/Geometry/Quaternion.h"
-  #include "src/Geometry/AngleAxis.h"
-  #include "src/Geometry/Transform.h"
-  #include "src/Geometry/Translation.h"
-  #include "src/Geometry/Scaling.h"
-  #include "src/Geometry/Hyperplane.h"
-  #include "src/Geometry/ParametrizedLine.h"
-  #include "src/Geometry/AlignedBox.h"
-  #include "src/Geometry/Umeyama.h"
+} // namespace Eigen

-  #if defined EIGEN_VECTORIZE_SSE
-    #include "src/Geometry/arch/Geometry_SSE.h"
-  #endif
-#endif
-
-#ifdef EIGEN2_SUPPORT
-#include "src/Eigen2Support/Geometry/All.h"
-#endif
-
-#include "src/Core/util/ReenableStupidWarnings.h"
+#include "src/Core/util/EnableMSVCWarnings.h"

 #endif // EIGEN_GEOMETRY_MODULE_H
-/* vim: set filetype=cpp et sw=2 ts=2 ai: */
-
--- a/Eigen/Householder
+++ b/Eigen/Householder
@@ -1,23 +0,0 @@
-#ifndef EIGEN_HOUSEHOLDER_MODULE_H
-#define EIGEN_HOUSEHOLDER_MODULE_H
-
-#include "Core"
-
-#include "src/Core/util/DisableStupidWarnings.h"
-
-/** \defgroup Householder_Module Householder module
-  * This module provides Householder transformations.
-  *
-  * \code
-  * #include <Eigen/Householder>
-  * \endcode
-  */
-
-#include "src/Householder/Householder.h"
-#include "src/Householder/HouseholderSequence.h"
-#include "src/Householder/BlockHouseholder.h"
-
-#include "src/Core/util/ReenableStupidWarnings.h"
-
-#endif // EIGEN_HOUSEHOLDER_MODULE_H
-/* vim: set filetype=cpp et sw=2 ts=2 ai: */
--- a/Eigen/IterativeLinearSolvers
+++ b/Eigen/IterativeLinearSolvers
@@ -1,40 +0,0 @@
-#ifndef EIGEN_ITERATIVELINEARSOLVERS_MODULE_H
-#define EIGEN_ITERATIVELINEARSOLVERS_MODULE_H
-
-#include "SparseCore"
-#include "OrderingMethods"
-
-#include "src/Core/util/DisableStupidWarnings.h"
-
-/** \ingroup Sparse_modules
-  * \defgroup IterativeLinearSolvers_Module IterativeLinearSolvers module
-  *
-  * This module currently provides iterative methods to solve problems of the form \c A \c x = \c b, where \c A is a squared matrix, usually very large and sparse.
-  * Those solvers are accessible via the following classes:
-  *  - ConjugateGradient for selfadjoint (hermitian) matrices,
-  *  - BiCGSTAB for general square matrices.
-  *
-  * These iterative solvers are associated with some preconditioners:
-  *  - IdentityPreconditioner - not really useful
-  *  - DiagonalPreconditioner - also called JAcobi preconditioner, work very well on diagonal dominant matrices.
-  *  - IncompleteILUT - incomplete LU factorization with dual thresholding
-  *
-  * Such problems can also be solved using the direct sparse decomposition modules: SparseCholesky, CholmodSupport, UmfPackSupport, SuperLUSupport.
-  *
-  * \code
-  * #include <Eigen/IterativeLinearSolvers>
-  * \endcode
-  */
-
-#include "src/misc/Solve.h"
-#include "src/misc/SparseSolve.h"
-
-#include "src/IterativeLinearSolvers/IterativeSolverBase.h"
-#include "src/IterativeLinearSolvers/BasicPreconditioners.h"
-#include "src/IterativeLinearSolvers/ConjugateGradient.h"
-#include "src/IterativeLinearSolvers/BiCGSTAB.h"
-#include "src/IterativeLinearSolvers/IncompleteLUT.h"
-
-#include "src/Core/util/ReenableStupidWarnings.h"
-
-#endif // EIGEN_ITERATIVELINEARSOLVERS_MODULE_H
--- a/Eigen/Jacobi
+++ b/Eigen/Jacobi
@@ -1,26 +0,0 @@
-#ifndef EIGEN_JACOBI_MODULE_H
-#define EIGEN_JACOBI_MODULE_H
-
-#include "Core"
-
-#include "src/Core/util/DisableStupidWarnings.h"
-
-/** \defgroup Jacobi_Module Jacobi module
-  * This module provides Jacobi and Givens rotations.
-  *
-  * \code
-  * #include <Eigen/Jacobi>
-  * \endcode
-  *
-  * In addition to listed classes, it defines the two following MatrixBase methods to apply a Jacobi or Givens rotation:
-  *  - MatrixBase::applyOnTheLeft()
-  *  - MatrixBase::applyOnTheRight().
-  */
-
-#include "src/Jacobi/Jacobi.h"
-
-#include "src/Core/util/ReenableStupidWarnings.h"
-
-#endif // EIGEN_JACOBI_MODULE_H
-/* vim: set filetype=cpp et sw=2 ts=2 ai: */
-
--- a/Eigen/LU
+++ b/Eigen/LU
@@ -3,7 +3,9 @@

 #include "Core"

-#include "src/Core/util/DisableStupidWarnings.h"
+#include "src/Core/util/DisableMSVCWarnings.h"
+
+namespace Eigen {

 /** \defgroup LU_Module LU module
  * This module includes %LU decomposition and related notions such as matrix inversion and determinant.
@@ -16,26 +18,12 @@
  * \endcode
  */

-#include "src/misc/Solve.h"
-#include "src/misc/Kernel.h"
-#include "src/misc/Image.h"
-#include "src/LU/FullPivLU.h"
-#include "src/LU/PartialPivLU.h"
-#ifdef EIGEN_USE_LAPACKE
-#include "src/LU/PartialPivLU_MKL.h"
-#endif
+#include "src/LU/LU.h"
 #include "src/LU/Determinant.h"
 #include "src/LU/Inverse.h"

-#if defined EIGEN_VECTORIZE_SSE
-  #include "src/LU/arch/Inverse_SSE.h"
-#endif
+} // namespace Eigen

-#ifdef EIGEN2_SUPPORT
-  #include "src/Eigen2Support/LU.h"
-#endif
-
-#include "src/Core/util/ReenableStupidWarnings.h"
+#include "src/Core/util/EnableMSVCWarnings.h"

 #endif // EIGEN_LU_MODULE_H
-/* vim: set filetype=cpp et sw=2 ts=2 ai: */
--- a/Eigen/LeastSquares
+++ b/Eigen/LeastSquares
@@ -1,20 +1,16 @@
 #ifndef EIGEN_REGRESSION_MODULE_H
 #define EIGEN_REGRESSION_MODULE_H

-#ifndef EIGEN2_SUPPORT
-#error LeastSquares is only available in Eigen2 support mode (define EIGEN2_SUPPORT)
-#endif
-
-// exclude from normal eigen3-only documentation
-#ifdef EIGEN2_SUPPORT
-
 #include "Core"

-#include "src/Core/util/DisableStupidWarnings.h"
+#include "src/Core/util/DisableMSVCWarnings.h"

-#include "Eigenvalues"
+#include "LU"
+#include "QR"
 #include "Geometry"

+namespace Eigen {
+
 /** \defgroup LeastSquares_Module LeastSquares module
  * This module provides linear regression and related features.
  *
@@ -23,10 +19,10 @@
  * \endcode
  */

-#include "src/Eigen2Support/LeastSquares.h"
+#include "src/LeastSquares/LeastSquares.h"

-#include "src/Core/util/ReenableStupidWarnings.h"
+} // namespace Eigen

-#endif // EIGEN2_SUPPORT
+#include "src/Core/util/EnableMSVCWarnings.h"

 #endif // EIGEN_REGRESSION_MODULE_H
--- a/Eigen/OrderingMethods
+++ b/Eigen/OrderingMethods
@@ -1,23 +0,0 @@
-#ifndef EIGEN_ORDERINGMETHODS_MODULE_H
-#define EIGEN_ORDERINGMETHODS_MODULE_H
-
-#include "SparseCore"
-
-#include "src/Core/util/DisableStupidWarnings.h"
-
-/** \ingroup Sparse_modules
-  * \defgroup OrderingMethods_Module OrderingMethods module
-  *
-  * This module is currently for internal use only.
-  *
-  *
-  * \code
-  * #include <Eigen/OrderingMethods>
-  * \endcode
-  */
-
-#include "src/OrderingMethods/Amd.h"
-
-#include "src/Core/util/ReenableStupidWarnings.h"
-
-#endif // EIGEN_ORDERINGMETHODS_MODULE_H
--- a/Eigen/PaStiXSupport
+++ b/Eigen/PaStiXSupport
@@ -1,46 +0,0 @@
-#ifndef EIGEN_PASTIXSUPPORT_MODULE_H
-#define EIGEN_PASTIXSUPPORT_MODULE_H
-
-#include "SparseCore"
-
-#include "src/Core/util/DisableStupidWarnings.h"
-
-#include <complex.h>
-extern "C" {
-#include <pastix_nompi.h>
-#include <pastix.h>
-}
-
-#ifdef complex
-#undef complex
-#endif
-
-/** \ingroup Support_modules
-  * \defgroup PaStiXSupport_Module PaStiXSupport module
-  * 
-  * This module provides an interface to the <a href="http://pastix.gforge.inria.fr/">PaSTiX</a> library.
-  * PaSTiX is a general \b supernodal, \b parallel and \b opensource sparse solver.
-  * It provides the two following main factorization classes:
-  * - class PastixLLT : a supernodal, parallel LLt Cholesky factorization.
-  * - class PastixLDLT: a supernodal, parallel LDLt Cholesky factorization.
-  * - class PastixLU : a supernodal, parallel LU factorization (optimized for a symmetric pattern).
-  * 
-  * \code
-  * #include <Eigen/PaStiXSupport>
-  * \endcode
-  *
-  * In order to use this module, the PaSTiX headers must be accessible from the include paths, and your binary must be linked to the PaSTiX library and its dependencies.
-  * The dependencies depend on how PaSTiX has been compiled.
-  * For a cmake based project, you can use our FindPaSTiX.cmake module to help you in this task.
-  *
-  */
-
-#include "src/misc/Solve.h"
-#include "src/misc/SparseSolve.h"
-
-#include "src/PaStiXSupport/PaStiXSupport.h"
-
-
-#include "src/Core/util/ReenableStupidWarnings.h"
-
-#endif // EIGEN_PASTIXSUPPORT_MODULE_H
--- a/Eigen/PardisoSupport
+++ b/Eigen/PardisoSupport
@@ -1,30 +0,0 @@
-#ifndef EIGEN_PARDISOSUPPORT_MODULE_H
-#define EIGEN_PARDISOSUPPORT_MODULE_H
-
-#include "SparseCore"
-
-#include "src/Core/util/DisableStupidWarnings.h"
-
-#include <mkl_pardiso.h>
-
-#include <unsupported/Eigen/SparseExtra>
-
-/** \ingroup Support_modules
-  * \defgroup PardisoSupport_Module PardisoSupport module
-  *
-  * This module brings support for the Intel(R) MKL PARDISO direct sparse solvers.
-  *
-  * \code
-  * #include <Eigen/PardisoSupport>
-  * \endcode
-  *
-  * In order to use this module, the MKL headers must be accessible from the include paths, and your binary must be linked to the MKL library and its dependencies.
-  * See this \ref TopicUsingIntelMKL "page" for more information on MKL-Eigen integration.
-  * 
-  */
-
-#include "src/PardisoSupport/PardisoSupport.h"
-
-#include "src/Core/util/ReenableStupidWarnings.h"
-
-#endif // EIGEN_PARDISOSUPPORT_MODULE_H
--- a/Eigen/QR
+++ b/Eigen/QR
@@ -3,43 +3,71 @@

 #include "Core"

-#include "src/Core/util/DisableStupidWarnings.h"
+#include "src/Core/util/DisableMSVCWarnings.h"

 #include "Cholesky"
-#include "Jacobi"
-#include "Householder"
+
+// Note that EIGEN_HIDE_HEAVY_CODE has to be defined per module
+#if (defined EIGEN_EXTERN_INSTANTIATIONS) && (EIGEN_EXTERN_INSTANTIATIONS>=2)
+  #ifndef EIGEN_HIDE_HEAVY_CODE
+  #define EIGEN_HIDE_HEAVY_CODE
+  #endif
+#elif defined EIGEN_HIDE_HEAVY_CODE
+  #undef EIGEN_HIDE_HEAVY_CODE
+#endif
+
+namespace Eigen {

 /** \defgroup QR_Module QR module
  *
+  * \nonstableyet
  *
-  *
-  * This module provides various QR decompositions
+  * This module mainly provides QR decomposition and an eigen value solver.
  * This module also provides some MatrixBase methods, including:
  *  - MatrixBase::qr(),
+  *  - MatrixBase::eigenvalues(),
+  *  - MatrixBase::operatorNorm()
  *
  * \code
  * #include <Eigen/QR>
  * \endcode
  */

-#include "src/misc/Solve.h"
-#include "src/QR/HouseholderQR.h"
-#include "src/QR/FullPivHouseholderQR.h"
-#include "src/QR/ColPivHouseholderQR.h"
-#ifdef EIGEN_USE_LAPACKE
-#include "src/QR/HouseholderQR_MKL.h"
-#include "src/QR/ColPivHouseholderQR_MKL.h"
-#endif
+#include "src/QR/QR.h"
+#include "src/QR/Tridiagonalization.h"
+#include "src/QR/EigenSolver.h"
+#include "src/QR/SelfAdjointEigenSolver.h"
+#include "src/QR/HessenbergDecomposition.h"

-#ifdef EIGEN2_SUPPORT
-#include "src/Eigen2Support/QR.h"
-#endif
+// declare all classes for a given matrix type
+#define EIGEN_QR_MODULE_INSTANTIATE_TYPE(MATRIXTYPE,PREFIX) \
+  PREFIX template class QR<MATRIXTYPE>; \
+  PREFIX template class Tridiagonalization<MATRIXTYPE>; \
+  PREFIX template class HessenbergDecomposition<MATRIXTYPE>; \
+  PREFIX template class SelfAdjointEigenSolver<MATRIXTYPE>

-#include "src/Core/util/ReenableStupidWarnings.h"
+// removed because it does not support complex yet
+//  PREFIX template class EigenSolver<MATRIXTYPE>

-#ifdef EIGEN2_SUPPORT
-#include "Eigenvalues"
-#endif
+// declare all class for all types
+#define EIGEN_QR_MODULE_INSTANTIATE(PREFIX) \
+  EIGEN_QR_MODULE_INSTANTIATE_TYPE(Matrix2f,PREFIX); \
+  EIGEN_QR_MODULE_INSTANTIATE_TYPE(Matrix2d,PREFIX); \
+  EIGEN_QR_MODULE_INSTANTIATE_TYPE(Matrix3f,PREFIX); \
+  EIGEN_QR_MODULE_INSTANTIATE_TYPE(Matrix3d,PREFIX); \
+  EIGEN_QR_MODULE_INSTANTIATE_TYPE(Matrix4f,PREFIX); \
+  EIGEN_QR_MODULE_INSTANTIATE_TYPE(Matrix4d,PREFIX); \
+  EIGEN_QR_MODULE_INSTANTIATE_TYPE(MatrixXf,PREFIX); \
+  EIGEN_QR_MODULE_INSTANTIATE_TYPE(MatrixXd,PREFIX); \
+  EIGEN_QR_MODULE_INSTANTIATE_TYPE(MatrixXcf,PREFIX); \
+  EIGEN_QR_MODULE_INSTANTIATE_TYPE(MatrixXcd,PREFIX)
+
+#ifdef EIGEN_EXTERN_INSTANTIATIONS
+  EIGEN_QR_MODULE_INSTANTIATE(extern);
+#endif // EIGEN_EXTERN_INSTANTIATIONS
+
+} // namespace Eigen
+
+#include "src/Core/util/EnableMSVCWarnings.h"

 #endif // EIGEN_QR_MODULE_H
-/* vim: set filetype=cpp et sw=2 ts=2 ai: */
--- a/Eigen/QtAlignedMalloc
+++ b/Eigen/QtAlignedMalloc
@@ -6,29 +6,24 @@

 #if (!EIGEN_MALLOC_ALREADY_ALIGNED)

-#include "src/Core/util/DisableStupidWarnings.h"
-
-void *qMalloc(size_t size)
+inline void *qMalloc(size_t size)
 {
-  return Eigen::internal::aligned_malloc(size);
+  return Eigen::ei_aligned_malloc(size);
 }

-void qFree(void *ptr)
+inline void qFree(void *ptr)
 {
-  Eigen::internal::aligned_free(ptr);
+  Eigen::ei_aligned_free(ptr);
 }

-void *qRealloc(void *ptr, size_t size)
+inline void *qRealloc(void *ptr, size_t size)
 {
-  void* newPtr = Eigen::internal::aligned_malloc(size);
+  void* newPtr = Eigen::ei_aligned_malloc(size);
  memcpy(newPtr, ptr, size);
-  Eigen::internal::aligned_free(ptr);
+  Eigen::ei_aligned_free(ptr);
  return newPtr;
 }

-#include "src/Core/util/ReenableStupidWarnings.h"
-
 #endif

 #endif // EIGEN_QTMALLOC_MODULE_H
-/* vim: set filetype=cpp et sw=2 ts=2 ai: */
--- a/Eigen/SVD
+++ b/Eigen/SVD
@@ -1,37 +1,29 @@
 #ifndef EIGEN_SVD_MODULE_H
 #define EIGEN_SVD_MODULE_H

-#include "QR"
-#include "Householder"
-#include "Jacobi"
+#include "Core"

-#include "src/Core/util/DisableStupidWarnings.h"
+#include "src/Core/util/DisableMSVCWarnings.h"
+
+namespace Eigen {

 /** \defgroup SVD_Module SVD module
  *
+  * \nonstableyet
  *
-  *
-  * This module provides SVD decomposition for matrices (both real and complex).
+  * This module provides SVD decomposition for (currently) real matrices.
  * This decomposition is accessible via the following MatrixBase method:
-  *  - MatrixBase::jacobiSvd()
+  *  - MatrixBase::svd()
  *
  * \code
  * #include <Eigen/SVD>
  * \endcode
  */

-#include "src/misc/Solve.h"
-#include "src/SVD/JacobiSVD.h"
-#if defined(EIGEN_USE_LAPACKE) && !defined(EIGEN_USE_LAPACKE_STRICT)
-#include "src/SVD/JacobiSVD_MKL.h"
-#endif
-#include "src/SVD/UpperBidiagonalization.h"
+#include "src/SVD/SVD.h"

-#ifdef EIGEN2_SUPPORT
-#include "src/Eigen2Support/SVD.h"
-#endif
+} // namespace Eigen

-#include "src/Core/util/ReenableStupidWarnings.h"
+#include "src/Core/util/EnableMSVCWarnings.h"

 #endif // EIGEN_SVD_MODULE_H
-/* vim: set filetype=cpp et sw=2 ts=2 ai: */
--- a/Eigen/Sparse
+++ b/Eigen/Sparse
@@ -1,23 +1,130 @@
 #ifndef EIGEN_SPARSE_MODULE_H
 #define EIGEN_SPARSE_MODULE_H

-/** \defgroup Sparse_modules Sparse modules
+#include "Core"
+
+#include "src/Core/util/DisableMSVCWarnings.h"
+
+#include <vector>
+#include <map>
+#include <cstdlib>
+#include <cstring>
+#include <algorithm>
+
+#ifdef EIGEN_GOOGLEHASH_SUPPORT
+  #include <google/dense_hash_map>
+#endif
+
+#ifdef EIGEN_CHOLMOD_SUPPORT
+  extern "C" {
+    #include "cholmod.h"
+  }
+#endif
+
+#ifdef EIGEN_TAUCS_SUPPORT
+
+  // taucs.h declares a lot of mess
+  #define isnan
+  #define finite
+  #define isinf
+  extern "C" {
+    #include "taucs.h"
+  }
+  #undef isnan
+  #undef finite
+  #undef isinf
+
+  #ifdef min
+    #undef min
+  #endif
+  #ifdef max
+    #undef max
+  #endif
+
+#endif
+
+#ifdef EIGEN_SUPERLU_SUPPORT
+  typedef int int_t;
+  #include "superlu/slu_Cnames.h"
+  #include "superlu/supermatrix.h"
+  #include "superlu/slu_util.h"
+
+  namespace SuperLU_S {
+  #include "superlu/slu_sdefs.h"
+  }
+  namespace SuperLU_D {
+  #include "superlu/slu_ddefs.h"
+  }
+  namespace SuperLU_C {
+  #include "superlu/slu_cdefs.h"
+  }
+  namespace SuperLU_Z {
+  #include "superlu/slu_zdefs.h"
+  }
+  namespace Eigen { struct SluMatrix; }
+#endif
+
+#ifdef EIGEN_UMFPACK_SUPPORT
+  #include "umfpack.h"
+#endif
+
+namespace Eigen {
+
+/** \defgroup Sparse_Module Sparse module
  *
-  * Meta-module including all related modules:
-  * - SparseCore
-  * - OrderingMethods
-  * - SparseCholesky
-  * - IterativeLinearSolvers
+  * \nonstableyet
+  *
+  * See the \ref TutorialSparse "Sparse tutorial"
  *
  * \code
-  * #include <Eigen/Sparse>
+  * #include <Eigen/QR>
  * \endcode
  */

-#include "SparseCore"
-#include "OrderingMethods"
-#include "SparseCholesky"
-#include "IterativeLinearSolvers"
+#include "src/Sparse/SparseUtil.h"
+#include "src/Sparse/SparseMatrixBase.h"
+#include "src/Sparse/CompressedStorage.h"
+#include "src/Sparse/AmbiVector.h"
+#include "src/Sparse/RandomSetter.h"
+#include "src/Sparse/SparseBlock.h"
+#include "src/Sparse/SparseMatrix.h"
+#include "src/Sparse/DynamicSparseMatrix.h"
+#include "src/Sparse/MappedSparseMatrix.h"
+#include "src/Sparse/SparseVector.h"
+#include "src/Sparse/CoreIterators.h"
+#include "src/Sparse/SparseTranspose.h"
+#include "src/Sparse/SparseCwise.h"
+#include "src/Sparse/SparseCwiseUnaryOp.h"
+#include "src/Sparse/SparseCwiseBinaryOp.h"
+#include "src/Sparse/SparseDot.h"
+#include "src/Sparse/SparseAssign.h"
+#include "src/Sparse/SparseRedux.h"
+#include "src/Sparse/SparseFuzzy.h"
+#include "src/Sparse/SparseFlagged.h"
+#include "src/Sparse/SparseProduct.h"
+#include "src/Sparse/TriangularSolver.h"
+#include "src/Sparse/SparseLLT.h"
+#include "src/Sparse/SparseLDLT.h"
+#include "src/Sparse/SparseLU.h"
+
+#ifdef EIGEN_CHOLMOD_SUPPORT
+# include "src/Sparse/CholmodSupport.h"
+#endif
+
+#ifdef EIGEN_TAUCS_SUPPORT
+# include "src/Sparse/TaucsSupport.h"
+#endif
+
+#ifdef EIGEN_SUPERLU_SUPPORT
+# include "src/Sparse/SuperLUSupport.h"
+#endif
+
+#ifdef EIGEN_UMFPACK_SUPPORT
+# include "src/Sparse/UmfPackSupport.h"
+#endif
+
+} // namespace Eigen
+
+#include "src/Core/util/EnableMSVCWarnings.h"

 #endif // EIGEN_SPARSE_MODULE_H
-
--- a/Eigen/SparseCholesky
+++ b/Eigen/SparseCholesky
@@ -1,30 +0,0 @@
-#ifndef EIGEN_SPARSECHOLESKY_MODULE_H
-#define EIGEN_SPARSECHOLESKY_MODULE_H
-
-#include "SparseCore"
-
-#include "src/Core/util/DisableStupidWarnings.h"
-
-/** \ingroup Sparse_modules
-  * \defgroup SparseCholesky_Module SparseCholesky module
-  *
-  * This module currently provides two variants of the direct sparse Cholesky decomposition for selfadjoint (hermitian) matrices.
-  * Those decompositions are accessible via the following classes:
-  *  - SimplicialLLt,
-  *  - SimplicialLDLt
-  *
-  * Such problems can also be solved using the ConjugateGradient solver from the IterativeLinearSolvers module.
-  *
-  * \code
-  * #include <Eigen/SparseCholesky>
-  * \endcode
-  */
-
-#include "src/misc/Solve.h"
-#include "src/misc/SparseSolve.h"
-
-#include "src/SparseCholesky/SimplicialCholesky.h"
-
-#include "src/Core/util/ReenableStupidWarnings.h"
-
-#endif // EIGEN_SPARSECHOLESKY_MODULE_H
--- a/Eigen/SparseCore
+++ b/Eigen/SparseCore
@@ -1,66 +0,0 @@
-#ifndef EIGEN_SPARSECORE_MODULE_H
-#define EIGEN_SPARSECORE_MODULE_H
-
-#include "Core"
-
-#include "src/Core/util/DisableStupidWarnings.h"
-
-#include <vector>
-#include <map>
-#include <cstdlib>
-#include <cstring>
-#include <algorithm>
-
-/** \ingroup Sparse_modules
-  * \defgroup SparseCore_Module SparseCore module
-  *
-  * This module provides a sparse matrix representation, and basic associatd matrix manipulations
-  * and operations.
-  *
-  * See the \ref TutorialSparse "Sparse tutorial"
-  *
-  * \code
-  * #include <Eigen/SparseCore>
-  * \endcode
-  *
-  * This module depends on: Core.
-  */
-
-namespace Eigen {
-
-/** The type used to identify a general sparse storage. */
-struct Sparse {};
-
-}
-
-#include "src/SparseCore/SparseUtil.h"
-#include "src/SparseCore/SparseMatrixBase.h"
-#include "src/SparseCore/CompressedStorage.h"
-#include "src/SparseCore/AmbiVector.h"
-#include "src/SparseCore/SparseMatrix.h"
-#include "src/SparseCore/MappedSparseMatrix.h"
-#include "src/SparseCore/SparseVector.h"
-#include "src/SparseCore/CoreIterators.h"
-#include "src/SparseCore/SparseBlock.h"
-#include "src/SparseCore/SparseTranspose.h"
-#include "src/SparseCore/SparseCwiseUnaryOp.h"
-#include "src/SparseCore/SparseCwiseBinaryOp.h"
-#include "src/SparseCore/SparseDot.h"
-#include "src/SparseCore/SparsePermutation.h"
-#include "src/SparseCore/SparseAssign.h"
-#include "src/SparseCore/SparseRedux.h"
-#include "src/SparseCore/SparseFuzzy.h"
-#include "src/SparseCore/ConservativeSparseSparseProduct.h"
-#include "src/SparseCore/SparseSparseProductWithPruning.h"
-#include "src/SparseCore/SparseProduct.h"
-#include "src/SparseCore/SparseDenseProduct.h"
-#include "src/SparseCore/SparseDiagonalProduct.h"
-#include "src/SparseCore/SparseTriangularView.h"
-#include "src/SparseCore/SparseSelfAdjointView.h"
-#include "src/SparseCore/TriangularSolver.h"
-#include "src/SparseCore/SparseView.h"
-
-#include "src/Core/util/ReenableStupidWarnings.h"
-
-#endif // EIGEN_SPARSECORE_MODULE_H
-
--- a/Eigen/StdDeque
+++ b/Eigen/StdDeque
@@ -1,42 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
-// Copyright (C) 2009 Hauke Heibel <hauke.heibel@googlemail.com>
-//
-// Eigen is free software; you can redistribute it and/or
-// modify it under the terms of the GNU Lesser General Public
-// License as published by the Free Software Foundation; either
-// version 3 of the License, or (at your option) any later version.
-//
-// Alternatively, you can redistribute it and/or
-// modify it under the terms of the GNU General Public License as
-// published by the Free Software Foundation; either version 2 of
-// the License, or (at your option) any later version.
-//
-// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
-// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
-// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU Lesser General Public
-// License and a copy of the GNU General Public License along with
-// Eigen. If not, see <http://www.gnu.org/licenses/>.
-
-#ifndef EIGEN_STDDEQUE_MODULE_H
-#define EIGEN_STDDEQUE_MODULE_H
-
-#include "Core"
-#include <deque>
-
-#if (defined(_MSC_VER) && defined(_WIN64)) /* MSVC auto aligns in 64 bit builds */
-
-#define EIGEN_DEFINE_STL_DEQUE_SPECIALIZATION(...)
-
-#else
-
-#include "src/StlSupport/StdDeque.h"
-
-#endif
-
-#endif // EIGEN_STDDEQUE_MODULE_H
--- a/Eigen/StdList
+++ b/Eigen/StdList
@@ -1,41 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2009 Hauke Heibel <hauke.heibel@googlemail.com>
-//
-// Eigen is free software; you can redistribute it and/or
-// modify it under the terms of the GNU Lesser General Public
-// License as published by the Free Software Foundation; either
-// version 3 of the License, or (at your option) any later version.
-//
-// Alternatively, you can redistribute it and/or
-// modify it under the terms of the GNU General Public License as
-// published by the Free Software Foundation; either version 2 of
-// the License, or (at your option) any later version.
-//
-// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
-// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
-// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU Lesser General Public
-// License and a copy of the GNU General Public License along with
-// Eigen. If not, see <http://www.gnu.org/licenses/>.
-
-#ifndef EIGEN_STDLIST_MODULE_H
-#define EIGEN_STDLIST_MODULE_H
-
-#include "Core"
-#include <list>
-
-#if (defined(_MSC_VER) && defined(_WIN64)) /* MSVC auto aligns in 64 bit builds */    
-
-#define EIGEN_DEFINE_STL_LIST_SPECIALIZATION(...)
-
-#else
-
-#include "src/StlSupport/StdList.h"
-
-#endif
-
-#endif // EIGEN_STDLIST_MODULE_H
--- a/Eigen/StdVector
+++ b/Eigen/StdVector
@@ -1,42 +1,133 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
-// Copyright (C) 2009 Hauke Heibel <hauke.heibel@googlemail.com>
-//
-// Eigen is free software; you can redistribute it and/or
-// modify it under the terms of the GNU Lesser General Public
-// License as published by the Free Software Foundation; either
-// version 3 of the License, or (at your option) any later version.
-//
-// Alternatively, you can redistribute it and/or
-// modify it under the terms of the GNU General Public License as
-// published by the Free Software Foundation; either version 2 of
-// the License, or (at your option) any later version.
-//
-// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
-// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
-// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU Lesser General Public
-// License and a copy of the GNU General Public License along with
-// Eigen. If not, see <http://www.gnu.org/licenses/>.
-
 #ifndef EIGEN_STDVECTOR_MODULE_H
 #define EIGEN_STDVECTOR_MODULE_H

-#include "Core"
-#include <vector>
+#if defined(_GLIBCXX_VECTOR) || defined(_VECTOR_)
+#error you must include Eigen/StdVector before std::vector
+#endif                                                    

-#if (defined(_MSC_VER) && defined(_WIN64)) /* MSVC auto aligns in 64 bit builds */
+#ifndef EIGEN_GNUC_AT_LEAST
+#ifdef __GNUC__
+  #define EIGEN_GNUC_AT_LEAST(x,y) ((__GNUC__>=x && __GNUC_MINOR__>=y) || __GNUC__>x)
+#else
+  #define EIGEN_GNUC_AT_LEAST(x,y) 0
+#endif
+#endif

-#define EIGEN_DEFINE_STL_VECTOR_SPECIALIZATION(...)
+#define vector std_vector
+#include <vector>        
+#undef vector
+
+namespace Eigen {
+
+template<typename T> class aligned_allocator;
+
+// meta programming to determine if a class has a given member
+struct ei_does_not_have_aligned_operator_new_marker_sizeof {int a[1];};
+struct ei_has_aligned_operator_new_marker_sizeof {int a[2];};
+
+template<typename ClassType>
+struct ei_has_aligned_operator_new {
+    template<typename T>
+    static ei_has_aligned_operator_new_marker_sizeof
+    test(T const *, typename T::ei_operator_new_marker_type const * = 0);
+    static ei_does_not_have_aligned_operator_new_marker_sizeof
+    test(...);
+
+    // note that the following indirection is needed for gcc-3.3
+    enum {ret =  sizeof(test(static_cast<ClassType*>(0))) 
+              == sizeof(ei_has_aligned_operator_new_marker_sizeof) };
+};
+
+#ifdef _MSC_VER
+  
+  // sometimes, MSVC detects, at compile time, that the argument x
+  // in std::vector::resize(size_t s,T x) won't be aligned and generate an error
+  // even if this function is never called. Whence this little wrapper.
+  #define _EIGEN_WORKAROUND_MSVC_STD_VECTOR(T) Eigen::ei_workaround_msvc_std_vector<T>
+  template<typename T> struct ei_workaround_msvc_std_vector : public T
+  {
+    inline ei_workaround_msvc_std_vector() : T() {}
+    inline ei_workaround_msvc_std_vector(const T& other) : T(other) {}
+    inline operator T& () { return *static_cast<T*>(this); }
+    inline operator const T& () const { return *static_cast<const T*>(this); }
+    template<typename OtherT>
+    inline T& operator=(const OtherT& other)
+    { T::operator=(other); return *this; }
+    inline ei_workaround_msvc_std_vector& operator=(const ei_workaround_msvc_std_vector& other)
+    { T::operator=(other); return *this; }
+  };

 #else

-#include "src/StlSupport/StdVector.h"
+  #define _EIGEN_WORKAROUND_MSVC_STD_VECTOR(T) T

 #endif

+}
+
+namespace std {
+
+#define EIGEN_STD_VECTOR_SPECIALIZATION_BODY \
+  public:  \
+    typedef T value_type; \
+    typedef typename vector_base::allocator_type allocator_type; \
+    typedef typename vector_base::size_type size_type;  \
+    typedef typename vector_base::iterator iterator;  \
+    explicit vector(const allocator_type& __a = allocator_type()) : vector_base(__a) {}  \
+    vector(const vector& c) : vector_base(c) {}  \
+    vector(size_type num, const value_type& val = value_type()) : vector_base(num, val) {} \
+    vector(iterator start, iterator end) : vector_base(start, end) {}  \
+    vector& operator=(const vector& __x) {  \
+      vector_base::operator=(__x);  \
+      return *this;  \
+    }
+
+template<typename T,
+         typename AllocT = std::allocator<T>,
+         bool HasAlignedNew = Eigen::ei_has_aligned_operator_new<T>::ret>
+class vector : public std::std_vector<T,AllocT>
+{
+  typedef std_vector<T, AllocT> vector_base;
+  EIGEN_STD_VECTOR_SPECIALIZATION_BODY
+};
+
+template<typename T,typename DummyAlloc>
+class vector<T,DummyAlloc,true>
+  : public std::std_vector<_EIGEN_WORKAROUND_MSVC_STD_VECTOR(T),
+                           Eigen::aligned_allocator<_EIGEN_WORKAROUND_MSVC_STD_VECTOR(T)> >          
+{
+  typedef std_vector<_EIGEN_WORKAROUND_MSVC_STD_VECTOR(T),
+                     Eigen::aligned_allocator<_EIGEN_WORKAROUND_MSVC_STD_VECTOR(T)> > vector_base;
+  EIGEN_STD_VECTOR_SPECIALIZATION_BODY
+
+  void resize(size_type __new_size)
+  { resize(__new_size, T()); }     
+
+  #if defined(_VECTOR_)
+  // workaround MSVC std::vector implementation
+  void resize(size_type __new_size, const value_type& __x)                 
+  {                                                              
+    if (vector_base::size() < __new_size)                                 
+      vector_base::_Insert_n(vector_base::end(), __new_size - vector_base::size(), __x);
+    else if (__new_size < vector_base::size())
+      vector_base::erase(vector_base::begin() + __new_size, vector_base::end());
+  }
+  #elif defined(_GLIBCXX_VECTOR) && EIGEN_GNUC_AT_LEAST(4,1)
+  // workaround GCC std::vector implementation
+  // Note that before gcc-4.1 we already have: std::vector::resize(size_type,const T&),
+  // no no need to workaround !
+  void resize(size_type __new_size, const value_type& __x)
+  {                                              
+    if (__new_size < vector_base::size())               
+      vector_base::_M_erase_at_end(this->_M_impl._M_start + __new_size);
+    else                       
+      vector_base::insert(vector_base::end(), __new_size - vector_base::size(), __x); 
+  }                                                              
+  #else
+  using vector_base::resize;
+  #endif  
+};
+
+}
+
 #endif // EIGEN_STDVECTOR_MODULE_H
--- a/Eigen/SuperLUSupport
+++ b/Eigen/SuperLUSupport
@@ -1,59 +0,0 @@
-#ifndef EIGEN_SUPERLUSUPPORT_MODULE_H
-#define EIGEN_SUPERLUSUPPORT_MODULE_H
-
-#include "SparseCore"
-
-#include "src/Core/util/DisableStupidWarnings.h"
-
-#ifdef EMPTY
-#define EIGEN_EMPTY_WAS_ALREADY_DEFINED
-#endif
-
-typedef int int_t;
-#include <slu_Cnames.h>
-#include <supermatrix.h>
-#include <slu_util.h>
-
-// slu_util.h defines a preprocessor token named EMPTY which is really polluting,
-// so we remove it in favor of a SUPERLU_EMPTY token.
-// If EMPTY was already defined then we don't undef it.
-
-#if defined(EIGEN_EMPTY_WAS_ALREADY_DEFINED)
-# undef EIGEN_EMPTY_WAS_ALREADY_DEFINED
-#elif defined(EMPTY)
-# undef EMPTY
-#endif
-
-#define SUPERLU_EMPTY (-1)
-
-namespace Eigen { struct SluMatrix; }
-
-/** \ingroup Support_modules
-  * \defgroup SuperLUSupport_Module SuperLUSupport module
-  *
-  * This module provides an interface to the <a href="http://crd-legacy.lbl.gov/~xiaoye/SuperLU/">SuperLU</a> library.
-  * It provides the following factorization class:
-  * - class SuperLU: a supernodal sequential LU factorization.
-  * - class SuperILU: a supernodal sequential incomplete LU factorization (to be used as a preconditioner for iterative methods).
-  *
-  * \warning When including this module, you have to use SUPERLU_EMPTY instead of EMPTY which is no longer defined because it is too polluting.
-  *
-  * \code
-  * #include <Eigen/SuperLUSupport>
-  * \endcode
-  *
-  * In order to use this module, the superlu headers must be accessible from the include paths, and your binary must be linked to the superlu library and its dependencies.
-  * The dependencies depend on how superlu has been compiled.
-  * For a cmake based project, you can use our FindSuperLU.cmake module to help you in this task.
-  *
-  */
-
-#include "src/misc/Solve.h"
-#include "src/misc/SparseSolve.h"
-
-#include "src/SuperLUSupport/SuperLUSupport.h"
-
-
-#include "src/Core/util/ReenableStupidWarnings.h"
-
-#endif // EIGEN_SUPERLUSUPPORT_MODULE_H
--- a/Eigen/UmfPackSupport
+++ b/Eigen/UmfPackSupport
@@ -1,36 +0,0 @@
-#ifndef EIGEN_UMFPACKSUPPORT_MODULE_H
-#define EIGEN_UMFPACKSUPPORT_MODULE_H
-
-#include "SparseCore"
-
-#include "src/Core/util/DisableStupidWarnings.h"
-
-extern "C" {
-#include <umfpack.h>
-}
-
-/** \ingroup Support_modules
-  * \defgroup UmfPackSupport_Module UmfPackSupport module
-  *
-  * This module provides an interface to the UmfPack library which is part of the <a href="http://www.cise.ufl.edu/research/sparse/SuiteSparse/">suitesparse</a> package.
-  * It provides the following factorization class:
-  * - class UmfPackLU: a multifrontal sequential LU factorization.
-  *
-  * \code
-  * #include <Eigen/UmfPackSupport>
-  * \endcode
-  *
-  * In order to use this module, the umfpack headers must be accessible from the include paths, and your binary must be linked to the umfpack library and its dependencies.
-  * The dependencies depend on how umfpack has been compiled.
-  * For a cmake based project, you can use our FindUmfPack.cmake module to help you in this task.
-  *
-  */
-
-#include "src/misc/Solve.h"
-#include "src/misc/SparseSolve.h"
-
-#include "src/UmfPackSupport/UmfPackSupport.h"
-
-#include "src/Core/util/ReenableStupidWarnings.h"
-
-#endif // EIGEN_UMFPACKSUPPORT_MODULE_H
--- a/Eigen/src/Array/BooleanRedux.h
+++ b/Eigen/src/Array/BooleanRedux.h
@@ -1,7 +1,7 @@
 // This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
+// for linear algebra. Eigen itself is part of the KDE project.
 //
-// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
 //
 // Eigen is free software; you can redistribute it and/or
 // modify it under the terms of the GNU Lesser General Public
@@ -25,129 +25,121 @@
 #ifndef EIGEN_ALLANDANY_H
 #define EIGEN_ALLANDANY_H

-namespace Eigen { 
-
-namespace internal {
-
 template<typename Derived, int UnrollCount>
-struct all_unroller
+struct ei_all_unroller
 {
  enum {
    col = (UnrollCount-1) / Derived::RowsAtCompileTime,
    row = (UnrollCount-1) % Derived::RowsAtCompileTime
  };

-  static inline bool run(const Derived &mat)
+  inline static bool run(const Derived &mat)
  {
-    return all_unroller<Derived, UnrollCount-1>::run(mat) && mat.coeff(row, col);
+    return ei_all_unroller<Derived, UnrollCount-1>::run(mat) && mat.coeff(row, col);
  }
 };

 template<typename Derived>
-struct all_unroller<Derived, 1>
+struct ei_all_unroller<Derived, 1>
 {
-  static inline bool run(const Derived &mat) { return mat.coeff(0, 0); }
+  inline static bool run(const Derived &mat) { return mat.coeff(0, 0); }
 };

 template<typename Derived>
-struct all_unroller<Derived, Dynamic>
+struct ei_all_unroller<Derived, Dynamic>
 {
-  static inline bool run(const Derived &) { return false; }
+  inline static bool run(const Derived &) { return false; }
 };

 template<typename Derived, int UnrollCount>
-struct any_unroller
+struct ei_any_unroller
 {
  enum {
    col = (UnrollCount-1) / Derived::RowsAtCompileTime,
    row = (UnrollCount-1) % Derived::RowsAtCompileTime
  };

-  static inline bool run(const Derived &mat)
+  inline static bool run(const Derived &mat)
  {
-    return any_unroller<Derived, UnrollCount-1>::run(mat) || mat.coeff(row, col);
+    return ei_any_unroller<Derived, UnrollCount-1>::run(mat) || mat.coeff(row, col);
  }
 };

 template<typename Derived>
-struct any_unroller<Derived, 1>
+struct ei_any_unroller<Derived, 1>
 {
-  static inline bool run(const Derived &mat) { return mat.coeff(0, 0); }
+  inline static bool run(const Derived &mat) { return mat.coeff(0, 0); }
 };

 template<typename Derived>
-struct any_unroller<Derived, Dynamic>
+struct ei_any_unroller<Derived, Dynamic>
 {
-  static inline bool run(const Derived &) { return false; }
+  inline static bool run(const Derived &) { return false; }
 };

-} // end namespace internal
-
-/** \returns true if all coefficients are true
+/** \array_module
+  * 
+  * \returns true if all coefficients are true
+  *
+  * \addexample CwiseAll \label How to check whether a point is inside a box (using operator< and all())
  *
  * Example: \include MatrixBase_all.cpp
  * Output: \verbinclude MatrixBase_all.out
  *
-  * \sa any(), Cwise::operator<()
+  * \sa MatrixBase::any(), Cwise::operator<()
  */
 template<typename Derived>
-inline bool DenseBase<Derived>::all() const
+inline bool MatrixBase<Derived>::all() const
 {
-  enum {
-    unroll = SizeAtCompileTime != Dynamic
-          && CoeffReadCost != Dynamic
-          && NumTraits<Scalar>::AddCost != Dynamic
-          && SizeAtCompileTime * (CoeffReadCost + NumTraits<Scalar>::AddCost) <= EIGEN_UNROLLING_LIMIT
-  };
+  const bool unroll = SizeAtCompileTime * (CoeffReadCost + NumTraits<Scalar>::AddCost)
+                      <= EIGEN_UNROLLING_LIMIT;
  if(unroll)
-    return internal::all_unroller<Derived,
+    return ei_all_unroller<Derived,
                           unroll ? int(SizeAtCompileTime) : Dynamic
     >::run(derived());
  else
  {
-    for(Index j = 0; j < cols(); ++j)
-      for(Index i = 0; i < rows(); ++i)
+    for(int j = 0; j < cols(); ++j)
+      for(int i = 0; i < rows(); ++i)
        if (!coeff(i, j)) return false;
    return true;
  }
 }

-/** \returns true if at least one coefficient is true
+/** \array_module
+  * 
+  * \returns true if at least one coefficient is true
  *
-  * \sa all()
+  * \sa MatrixBase::all()
  */
 template<typename Derived>
-inline bool DenseBase<Derived>::any() const
+inline bool MatrixBase<Derived>::any() const
 {
-  enum {
-    unroll = SizeAtCompileTime != Dynamic
-          && CoeffReadCost != Dynamic
-          && NumTraits<Scalar>::AddCost != Dynamic
-          && SizeAtCompileTime * (CoeffReadCost + NumTraits<Scalar>::AddCost) <= EIGEN_UNROLLING_LIMIT
-  };
+  const bool unroll = SizeAtCompileTime * (CoeffReadCost + NumTraits<Scalar>::AddCost)
+                      <= EIGEN_UNROLLING_LIMIT;
  if(unroll)
-    return internal::any_unroller<Derived,
+    return ei_any_unroller<Derived,
                           unroll ? int(SizeAtCompileTime) : Dynamic
           >::run(derived());
  else
  {
-    for(Index j = 0; j < cols(); ++j)
-      for(Index i = 0; i < rows(); ++i)
+    for(int j = 0; j < cols(); ++j)
+      for(int i = 0; i < rows(); ++i)
        if (coeff(i, j)) return true;
    return false;
  }
 }

-/** \returns the number of coefficients which evaluate to true
+/** \array_module
+  * 
+  * \returns the number of coefficients which evaluate to true
  *
-  * \sa all(), any()
+  * \sa MatrixBase::all(), MatrixBase::any()
  */
 template<typename Derived>
-inline typename DenseBase<Derived>::Index DenseBase<Derived>::count() const
+inline int MatrixBase<Derived>::count() const
 {
-  return derived().template cast<bool>().template cast<Index>().sum();
+  return this->cast<bool>().cast<int>().sum();
 }

-} // end namespace Eigen
-
 #endif // EIGEN_ALLANDANY_H
--- a/Eigen/src/Array/CMakeLists.txt
+++ b/Eigen/src/Array/CMakeLists.txt
@@ -0,0 +1,6 @@
+FILE(GLOB Eigen_Array_SRCS "*.h")
+
+INSTALL(FILES
+  ${Eigen_Array_SRCS}
+  DESTINATION ${INCLUDE_INSTALL_DIR}/Eigen/src/Array
+  )
--- a/Eigen/src/Array/CwiseOperators.h
+++ b/Eigen/src/Array/CwiseOperators.h
@@ -0,0 +1,453 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra. Eigen itself is part of the KDE project.
+//
+// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
+//
+// Eigen is free software; you can redistribute it and/or
+// modify it under the terms of the GNU Lesser General Public
+// License as published by the Free Software Foundation; either
+// version 3 of the License, or (at your option) any later version.
+//
+// Alternatively, you can redistribute it and/or
+// modify it under the terms of the GNU General Public License as
+// published by the Free Software Foundation; either version 2 of
+// the License, or (at your option) any later version.
+//
+// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
+// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
+// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
+// GNU General Public License for more details.
+//
+// You should have received a copy of the GNU Lesser General Public
+// License and a copy of the GNU General Public License along with
+// Eigen. If not, see <http://www.gnu.org/licenses/>.
+
+#ifndef EIGEN_ARRAY_CWISE_OPERATORS_H
+#define EIGEN_ARRAY_CWISE_OPERATORS_H
+
+// -- unary operators --
+
+/** \array_module
+  * 
+  * \returns an expression of the coefficient-wise square root of *this.
+  *
+  * Example: \include Cwise_sqrt.cpp
+  * Output: \verbinclude Cwise_sqrt.out
+  *
+  * \sa pow(), square()
+  */
+template<typename ExpressionType>
+inline const EIGEN_CWISE_UNOP_RETURN_TYPE(ei_scalar_sqrt_op)
+Cwise<ExpressionType>::sqrt() const
+{
+  return _expression();
+}
+
+/** \array_module
+  * 
+  * \returns an expression of the coefficient-wise exponential of *this.
+  *
+  * Example: \include Cwise_exp.cpp
+  * Output: \verbinclude Cwise_exp.out
+  *
+  * \sa pow(), log(), sin(), cos()
+  */
+template<typename ExpressionType>
+inline const EIGEN_CWISE_UNOP_RETURN_TYPE(ei_scalar_exp_op)
+Cwise<ExpressionType>::exp() const
+{
+  return _expression();
+}
+
+/** \array_module
+  * 
+  * \returns an expression of the coefficient-wise logarithm of *this.
+  *
+  * Example: \include Cwise_log.cpp
+  * Output: \verbinclude Cwise_log.out
+  *
+  * \sa exp()
+  */
+template<typename ExpressionType>
+inline const EIGEN_CWISE_UNOP_RETURN_TYPE(ei_scalar_log_op)
+Cwise<ExpressionType>::log() const
+{
+  return _expression();
+}
+
+/** \array_module
+  * 
+  * \returns an expression of the coefficient-wise cosine of *this.
+  *
+  * Example: \include Cwise_cos.cpp
+  * Output: \verbinclude Cwise_cos.out
+  *
+  * \sa sin(), exp()
+  */
+template<typename ExpressionType>
+inline const EIGEN_CWISE_UNOP_RETURN_TYPE(ei_scalar_cos_op)
+Cwise<ExpressionType>::cos() const
+{
+  return _expression();
+}
+
+
+/** \array_module
+  * 
+  * \returns an expression of the coefficient-wise sine of *this.
+  *
+  * Example: \include Cwise_sin.cpp
+  * Output: \verbinclude Cwise_sin.out
+  *
+  * \sa cos(), exp()
+  */
+template<typename ExpressionType>
+inline const EIGEN_CWISE_UNOP_RETURN_TYPE(ei_scalar_sin_op)
+Cwise<ExpressionType>::sin() const
+{
+  return _expression();
+}
+
+
+/** \array_module
+  * 
+  * \returns an expression of the coefficient-wise power of *this to the given exponent.
+  *
+  * Example: \include Cwise_pow.cpp
+  * Output: \verbinclude Cwise_pow.out
+  *
+  * \sa exp(), log()
+  */
+template<typename ExpressionType>
+inline const EIGEN_CWISE_UNOP_RETURN_TYPE(ei_scalar_pow_op)
+Cwise<ExpressionType>::pow(const Scalar& exponent) const
+{
+  return EIGEN_CWISE_UNOP_RETURN_TYPE(ei_scalar_pow_op)(_expression(), ei_scalar_pow_op<Scalar>(exponent));
+}
+
+
+/** \array_module
+  * 
+  * \returns an expression of the coefficient-wise inverse of *this.
+  *
+  * Example: \include Cwise_inverse.cpp
+  * Output: \verbinclude Cwise_inverse.out
+  *
+  * \sa operator/(), operator*()
+  */
+template<typename ExpressionType>
+inline const EIGEN_CWISE_UNOP_RETURN_TYPE(ei_scalar_inverse_op)
+Cwise<ExpressionType>::inverse() const
+{
+  return _expression();
+}
+
+/** \array_module
+  *
+  * \returns an expression of the coefficient-wise square of *this.
+  *
+  * Example: \include Cwise_square.cpp
+  * Output: \verbinclude Cwise_square.out
+  *
+  * \sa operator/(), operator*(), abs2()
+  */
+template<typename ExpressionType>
+inline const EIGEN_CWISE_UNOP_RETURN_TYPE(ei_scalar_square_op)
+Cwise<ExpressionType>::square() const
+{
+  return _expression();
+}
+
+/** \array_module
+  *
+  * \returns an expression of the coefficient-wise cube of *this.
+  *
+  * Example: \include Cwise_cube.cpp
+  * Output: \verbinclude Cwise_cube.out
+  *
+  * \sa square(), pow()
+  */
+template<typename ExpressionType>
+inline const EIGEN_CWISE_UNOP_RETURN_TYPE(ei_scalar_cube_op)
+Cwise<ExpressionType>::cube() const
+{
+  return _expression();
+}
+
+
+// -- binary operators --
+
+/** \array_module
+  * 
+  * \returns an expression of the coefficient-wise \< operator of *this and \a other
+  *
+  * Example: \include Cwise_less.cpp
+  * Output: \verbinclude Cwise_less.out
+  *
+  * \sa MatrixBase::all(), MatrixBase::any(), operator>(), operator<=()
+  */
+template<typename ExpressionType>
+template<typename OtherDerived>
+inline const EIGEN_CWISE_BINOP_RETURN_TYPE(std::less)
+Cwise<ExpressionType>::operator<(const MatrixBase<OtherDerived> &other) const
+{
+  return EIGEN_CWISE_BINOP_RETURN_TYPE(std::less)(_expression(), other.derived());
+}
+
+/** \array_module
+  * 
+  * \returns an expression of the coefficient-wise \<= operator of *this and \a other
+  *
+  * Example: \include Cwise_less_equal.cpp
+  * Output: \verbinclude Cwise_less_equal.out
+  *
+  * \sa MatrixBase::all(), MatrixBase::any(), operator>=(), operator<()
+  */
+template<typename ExpressionType>
+template<typename OtherDerived>
+inline const EIGEN_CWISE_BINOP_RETURN_TYPE(std::less_equal)
+Cwise<ExpressionType>::operator<=(const MatrixBase<OtherDerived> &other) const
+{
+  return EIGEN_CWISE_BINOP_RETURN_TYPE(std::less_equal)(_expression(), other.derived());
+}
+
+/** \array_module
+  * 
+  * \returns an expression of the coefficient-wise \> operator of *this and \a other
+  *
+  * Example: \include Cwise_greater.cpp
+  * Output: \verbinclude Cwise_greater.out
+  *
+  * \sa MatrixBase::all(), MatrixBase::any(), operator>=(), operator<()
+  */
+template<typename ExpressionType>
+template<typename OtherDerived>
+inline const EIGEN_CWISE_BINOP_RETURN_TYPE(std::greater)
+Cwise<ExpressionType>::operator>(const MatrixBase<OtherDerived> &other) const
+{
+  return EIGEN_CWISE_BINOP_RETURN_TYPE(std::greater)(_expression(), other.derived());
+}
+
+/** \array_module
+  * 
+  * \returns an expression of the coefficient-wise \>= operator of *this and \a other
+  *
+  * Example: \include Cwise_greater_equal.cpp
+  * Output: \verbinclude Cwise_greater_equal.out
+  *
+  * \sa MatrixBase::all(), MatrixBase::any(), operator>(), operator<=()
+  */
+template<typename ExpressionType>
+template<typename OtherDerived>
+inline const EIGEN_CWISE_BINOP_RETURN_TYPE(std::greater_equal)
+Cwise<ExpressionType>::operator>=(const MatrixBase<OtherDerived> &other) const
+{
+  return EIGEN_CWISE_BINOP_RETURN_TYPE(std::greater_equal)(_expression(), other.derived());
+}
+
+/** \array_module
+  * 
+  * \returns an expression of the coefficient-wise == operator of *this and \a other
+  *
+  * \warning this performs an exact comparison, which is generally a bad idea with floating-point types.
+  * In order to check for equality between two vectors or matrices with floating-point coefficients, it is
+  * generally a far better idea to use a fuzzy comparison as provided by MatrixBase::isApprox() and
+  * MatrixBase::isMuchSmallerThan().
+  *
+  * Example: \include Cwise_equal_equal.cpp
+  * Output: \verbinclude Cwise_equal_equal.out
+  *
+  * \sa MatrixBase::all(), MatrixBase::any(), MatrixBase::isApprox(), MatrixBase::isMuchSmallerThan()
+  */
+template<typename ExpressionType>
+template<typename OtherDerived>
+inline const EIGEN_CWISE_BINOP_RETURN_TYPE(std::equal_to)
+Cwise<ExpressionType>::operator==(const MatrixBase<OtherDerived> &other) const
+{
+  return EIGEN_CWISE_BINOP_RETURN_TYPE(std::equal_to)(_expression(), other.derived());
+}
+
+/** \array_module
+  * 
+  * \returns an expression of the coefficient-wise != operator of *this and \a other
+  *
+  * \warning this performs an exact comparison, which is generally a bad idea with floating-point types.
+  * In order to check for equality between two vectors or matrices with floating-point coefficients, it is
+  * generally a far better idea to use a fuzzy comparison as provided by MatrixBase::isApprox() and
+  * MatrixBase::isMuchSmallerThan().
+  *
+  * Example: \include Cwise_not_equal.cpp
+  * Output: \verbinclude Cwise_not_equal.out
+  *
+  * \sa MatrixBase::all(), MatrixBase::any(), MatrixBase::isApprox(), MatrixBase::isMuchSmallerThan()
+  */
+template<typename ExpressionType>
+template<typename OtherDerived>
+inline const EIGEN_CWISE_BINOP_RETURN_TYPE(std::not_equal_to)
+Cwise<ExpressionType>::operator!=(const MatrixBase<OtherDerived> &other) const
+{
+  return EIGEN_CWISE_BINOP_RETURN_TYPE(std::not_equal_to)(_expression(), other.derived());
+}
+
+// comparisons to scalar value
+
+/** \array_module
+  * 
+  * \returns an expression of the coefficient-wise \< operator of *this and a scalar \a s
+  *
+  * \sa operator<(const MatrixBase<OtherDerived> &) const
+  */
+template<typename ExpressionType>
+inline const EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE(std::less)
+Cwise<ExpressionType>::operator<(Scalar s) const
+{
+  return EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE(std::less)(_expression(),
+            typename ExpressionType::ConstantReturnType(_expression().rows(), _expression().cols(), s));
+}
+
+/** \array_module
+  * 
+  * \returns an expression of the coefficient-wise \<= operator of *this and a scalar \a s
+  *
+  * \sa operator<=(const MatrixBase<OtherDerived> &) const
+  */
+template<typename ExpressionType>
+inline const EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE(std::less_equal)
+Cwise<ExpressionType>::operator<=(Scalar s) const
+{
+  return EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE(std::less_equal)(_expression(),
+            typename ExpressionType::ConstantReturnType(_expression().rows(), _expression().cols(), s));
+}
+
+/** \array_module
+  * 
+  * \returns an expression of the coefficient-wise \> operator of *this and a scalar \a s
+  *
+  * \sa operator>(const MatrixBase<OtherDerived> &) const
+  */
+template<typename ExpressionType>
+inline const EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE(std::greater)
+Cwise<ExpressionType>::operator>(Scalar s) const
+{
+  return EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE(std::greater)(_expression(),
+            typename ExpressionType::ConstantReturnType(_expression().rows(), _expression().cols(), s));
+}
+
+/** \array_module
+  * 
+  * \returns an expression of the coefficient-wise \>= operator of *this and a scalar \a s
+  *
+  * \sa operator>=(const MatrixBase<OtherDerived> &) const
+  */
+template<typename ExpressionType>
+inline const EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE(std::greater_equal)
+Cwise<ExpressionType>::operator>=(Scalar s) const
+{
+  return EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE(std::greater_equal)(_expression(),
+            typename ExpressionType::ConstantReturnType(_expression().rows(), _expression().cols(), s));
+}
+
+/** \array_module
+  * 
+  * \returns an expression of the coefficient-wise == operator of *this and a scalar \a s
+  *
+  * \warning this performs an exact comparison, which is generally a bad idea with floating-point types.
+  * In order to check for equality between two vectors or matrices with floating-point coefficients, it is
+  * generally a far better idea to use a fuzzy comparison as provided by MatrixBase::isApprox() and
+  * MatrixBase::isMuchSmallerThan().
+  *
+  * \sa operator==(const MatrixBase<OtherDerived> &) const
+  */
+template<typename ExpressionType>
+inline const EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE(std::equal_to)
+Cwise<ExpressionType>::operator==(Scalar s) const
+{
+  return EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE(std::equal_to)(_expression(),
+            typename ExpressionType::ConstantReturnType(_expression().rows(), _expression().cols(), s));
+}
+
+/** \array_module
+  * 
+  * \returns an expression of the coefficient-wise != operator of *this and a scalar \a s
+  *
+  * \warning this performs an exact comparison, which is generally a bad idea with floating-point types.
+  * In order to check for equality between two vectors or matrices with floating-point coefficients, it is
+  * generally a far better idea to use a fuzzy comparison as provided by MatrixBase::isApprox() and
+  * MatrixBase::isMuchSmallerThan().
+  *
+  * \sa operator!=(const MatrixBase<OtherDerived> &) const
+  */
+template<typename ExpressionType>
+inline const EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE(std::not_equal_to)
+Cwise<ExpressionType>::operator!=(Scalar s) const
+{
+  return EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE(std::not_equal_to)(_expression(),
+            typename ExpressionType::ConstantReturnType(_expression().rows(), _expression().cols(), s));
+}
+
+// scalar addition
+
+/** \array_module
+  *
+  * \returns an expression of \c *this with each coeff incremented by the constant \a scalar
+  *
+  * Example: \include Cwise_plus.cpp
+  * Output: \verbinclude Cwise_plus.out
+  *
+  * \sa operator+=(), operator-()
+  */
+template<typename ExpressionType>
+inline const typename Cwise<ExpressionType>::ScalarAddReturnType
+Cwise<ExpressionType>::operator+(const Scalar& scalar) const
+{
+  return typename Cwise<ExpressionType>::ScalarAddReturnType(m_matrix, ei_scalar_add_op<Scalar>(scalar));
+}
+
+/** \array_module
+  *
+  * Adds the given \a scalar to each coeff of this expression.
+  *
+  * Example: \include Cwise_plus_equal.cpp
+  * Output: \verbinclude Cwise_plus_equal.out
+  *
+  * \sa operator+(), operator-=()
+  */
+template<typename ExpressionType>
+inline ExpressionType& Cwise<ExpressionType>::operator+=(const Scalar& scalar)
+{
+  return m_matrix.const_cast_derived() = *this + scalar;
+}
+
+/** \array_module
+  *
+  * \returns an expression of \c *this with each coeff decremented by the constant \a scalar
+  *
+  * Example: \include Cwise_minus.cpp
+  * Output: \verbinclude Cwise_minus.out
+  *
+  * \sa operator+(), operator-=()
+  */
+template<typename ExpressionType>
+inline const typename Cwise<ExpressionType>::ScalarAddReturnType
+Cwise<ExpressionType>::operator-(const Scalar& scalar) const
+{
+  return *this + (-scalar);
+}
+
+/** \array_module
+  *
+  * Substracts the given \a scalar from each coeff of this expression.
+  *
+  * Example: \include Cwise_minus_equal.cpp
+  * Output: \verbinclude Cwise_minus_equal.out
+  *
+  * \sa operator+=(), operator-()
+  */
+
+template<typename ExpressionType>
+inline ExpressionType& Cwise<ExpressionType>::operator-=(const Scalar& scalar)
+{
+  return m_matrix.const_cast_derived() = *this - scalar;
+}
+
+#endif // EIGEN_ARRAY_CWISE_OPERATORS_H
--- a/Eigen/src/Array/Functors.h
+++ b/Eigen/src/Array/Functors.h
@@ -0,0 +1,305 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra. Eigen itself is part of the KDE project.
+//
+// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
+//
+// Eigen is free software; you can redistribute it and/or
+// modify it under the terms of the GNU Lesser General Public
+// License as published by the Free Software Foundation; either
+// version 3 of the License, or (at your option) any later version.
+//
+// Alternatively, you can redistribute it and/or
+// modify it under the terms of the GNU General Public License as
+// published by the Free Software Foundation; either version 2 of
+// the License, or (at your option) any later version.
+//
+// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
+// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
+// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
+// GNU General Public License for more details.
+//
+// You should have received a copy of the GNU Lesser General Public
+// License and a copy of the GNU General Public License along with
+// Eigen. If not, see <http://www.gnu.org/licenses/>.
+
+#ifndef EIGEN_ARRAY_FUNCTORS_H
+#define EIGEN_ARRAY_FUNCTORS_H
+
+/** \internal
+  * \array_module
+  *
+  * \brief Template functor to add a scalar to a fixed other one
+  *
+  * \sa class CwiseUnaryOp, Array::operator+
+  */
+/* If you wonder why doing the ei_pset1() in packetOp() is an optimization check ei_scalar_multiple_op */
+template<typename Scalar>
+struct ei_scalar_add_op {
+  typedef typename ei_packet_traits<Scalar>::type PacketScalar;
+  // FIXME default copy constructors seems bugged with std::complex<>
+  inline ei_scalar_add_op(const ei_scalar_add_op& other) : m_other(other.m_other) { }
+  inline ei_scalar_add_op(const Scalar& other) : m_other(other) { }
+  inline Scalar operator() (const Scalar& a) const { return a + m_other; }
+  inline const PacketScalar packetOp(const PacketScalar& a) const
+  { return ei_padd(a, ei_pset1(m_other)); }
+  const Scalar m_other;
+};
+template<typename Scalar>
+struct ei_functor_traits<ei_scalar_add_op<Scalar> >
+{ enum { Cost = NumTraits<Scalar>::AddCost, PacketAccess = ei_packet_traits<Scalar>::size>1 }; };
+
+/** \internal
+  *
+  * \array_module
+  *
+  * \brief Template functor to compute the square root of a scalar
+  *
+  * \sa class CwiseUnaryOp, Cwise::sqrt()
+  */
+template<typename Scalar> struct ei_scalar_sqrt_op EIGEN_EMPTY_STRUCT {
+  inline const Scalar operator() (const Scalar& a) const { return ei_sqrt(a); }
+};
+template<typename Scalar>
+struct ei_functor_traits<ei_scalar_sqrt_op<Scalar> >
+{ enum { Cost = 5 * NumTraits<Scalar>::MulCost, PacketAccess = false }; };
+
+/** \internal
+  *
+  * \array_module
+  *
+  * \brief Template functor to compute the exponential of a scalar
+  *
+  * \sa class CwiseUnaryOp, Cwise::exp()
+  */
+template<typename Scalar> struct ei_scalar_exp_op EIGEN_EMPTY_STRUCT {
+  inline const Scalar operator() (const Scalar& a) const { return ei_exp(a); }
+};
+template<typename Scalar>
+struct ei_functor_traits<ei_scalar_exp_op<Scalar> >
+{ enum { Cost = 5 * NumTraits<Scalar>::MulCost, PacketAccess = false }; };
+
+/** \internal
+  *
+  * \array_module
+  *
+  * \brief Template functor to compute the logarithm of a scalar
+  *
+  * \sa class CwiseUnaryOp, Cwise::log()
+  */
+template<typename Scalar> struct ei_scalar_log_op EIGEN_EMPTY_STRUCT {
+  inline const Scalar operator() (const Scalar& a) const { return ei_log(a); }
+};
+template<typename Scalar>
+struct ei_functor_traits<ei_scalar_log_op<Scalar> >
+{ enum { Cost = 5 * NumTraits<Scalar>::MulCost, PacketAccess = false }; };
+
+/** \internal
+  *
+  * \array_module
+  *
+  * \brief Template functor to compute the cosine of a scalar
+  *
+  * \sa class CwiseUnaryOp, Cwise::cos()
+  */
+template<typename Scalar> struct ei_scalar_cos_op EIGEN_EMPTY_STRUCT {
+  inline const Scalar operator() (const Scalar& a) const { return ei_cos(a); }
+};
+template<typename Scalar>
+struct ei_functor_traits<ei_scalar_cos_op<Scalar> >
+{ enum { Cost = 5 * NumTraits<Scalar>::MulCost, PacketAccess = false }; };
+
+/** \internal
+  *
+  * \array_module
+  *
+  * \brief Template functor to compute the sine of a scalar
+  *
+  * \sa class CwiseUnaryOp, Cwise::sin()
+  */
+template<typename Scalar> struct ei_scalar_sin_op EIGEN_EMPTY_STRUCT {
+  inline const Scalar operator() (const Scalar& a) const { return ei_sin(a); }
+};
+template<typename Scalar>
+struct ei_functor_traits<ei_scalar_sin_op<Scalar> >
+{ enum { Cost = 5 * NumTraits<Scalar>::MulCost, PacketAccess = false }; };
+
+/** \internal
+  *
+  * \array_module
+  *
+  * \brief Template functor to raise a scalar to a power
+  *
+  * \sa class CwiseUnaryOp, Cwise::pow
+  */
+template<typename Scalar>
+struct ei_scalar_pow_op {
+  // FIXME default copy constructors seems bugged with std::complex<>
+  inline ei_scalar_pow_op(const ei_scalar_pow_op& other) : m_exponent(other.m_exponent) { }
+  inline ei_scalar_pow_op(const Scalar& exponent) : m_exponent(exponent) {}
+  inline Scalar operator() (const Scalar& a) const { return ei_pow(a, m_exponent); }
+  const Scalar m_exponent;
+};
+template<typename Scalar>
+struct ei_functor_traits<ei_scalar_pow_op<Scalar> >
+{ enum { Cost = 5 * NumTraits<Scalar>::MulCost, PacketAccess = false }; };
+
+/** \internal
+  *
+  * \array_module
+  *
+  * \brief Template functor to compute the inverse of a scalar
+  *
+  * \sa class CwiseUnaryOp, Cwise::inverse()
+  */
+template<typename Scalar>
+struct ei_scalar_inverse_op {
+  inline Scalar operator() (const Scalar& a) const { return Scalar(1)/a; }
+  template<typename PacketScalar>
+  inline const PacketScalar packetOp(const PacketScalar& a) const
+  { return ei_pdiv(ei_pset1(Scalar(1)),a); }
+};
+template<typename Scalar>
+struct ei_functor_traits<ei_scalar_inverse_op<Scalar> >
+{ enum { Cost = NumTraits<Scalar>::MulCost, PacketAccess = int(ei_packet_traits<Scalar>::size)>1 }; };
+
+/** \internal
+  *
+  * \array_module
+  *
+  * \brief Template functor to compute the square of a scalar
+  *
+  * \sa class CwiseUnaryOp, Cwise::square()
+  */
+template<typename Scalar>
+struct ei_scalar_square_op {
+  inline Scalar operator() (const Scalar& a) const { return a*a; }
+  template<typename PacketScalar>
+  inline const PacketScalar packetOp(const PacketScalar& a) const
+  { return ei_pmul(a,a); }
+};
+template<typename Scalar>
+struct ei_functor_traits<ei_scalar_square_op<Scalar> >
+{ enum { Cost = NumTraits<Scalar>::MulCost, PacketAccess = int(ei_packet_traits<Scalar>::size)>1 }; };
+
+/** \internal
+  *
+  * \array_module
+  *
+  * \brief Template functor to compute the cube of a scalar
+  *
+  * \sa class CwiseUnaryOp, Cwise::cube()
+  */
+template<typename Scalar>
+struct ei_scalar_cube_op {
+  inline Scalar operator() (const Scalar& a) const { return a*a*a; }
+  template<typename PacketScalar>
+  inline const PacketScalar packetOp(const PacketScalar& a) const
+  { return ei_pmul(a,ei_pmul(a,a)); }
+};
+template<typename Scalar>
+struct ei_functor_traits<ei_scalar_cube_op<Scalar> >
+{ enum { Cost = 2*NumTraits<Scalar>::MulCost, PacketAccess = int(ei_packet_traits<Scalar>::size)>1 }; };
+
+// default ei_functor_traits for STL functors:
+
+template<typename T>
+struct ei_functor_traits<std::multiplies<T> >
+{ enum { Cost = NumTraits<T>::MulCost, PacketAccess = false }; };
+
+template<typename T>
+struct ei_functor_traits<std::divides<T> >
+{ enum { Cost = NumTraits<T>::MulCost, PacketAccess = false }; };
+
+template<typename T>
+struct ei_functor_traits<std::plus<T> >
+{ enum { Cost = NumTraits<T>::AddCost, PacketAccess = false }; };
+
+template<typename T>
+struct ei_functor_traits<std::minus<T> >
+{ enum { Cost = NumTraits<T>::AddCost, PacketAccess = false }; };
+
+template<typename T>
+struct ei_functor_traits<std::negate<T> >
+{ enum { Cost = NumTraits<T>::AddCost, PacketAccess = false }; };
+
+template<typename T>
+struct ei_functor_traits<std::logical_or<T> >
+{ enum { Cost = 1, PacketAccess = false }; };
+
+template<typename T>
+struct ei_functor_traits<std::logical_and<T> >
+{ enum { Cost = 1, PacketAccess = false }; };
+
+template<typename T>
+struct ei_functor_traits<std::logical_not<T> >
+{ enum { Cost = 1, PacketAccess = false }; };
+
+template<typename T>
+struct ei_functor_traits<std::greater<T> >
+{ enum { Cost = 1, PacketAccess = false }; };
+
+template<typename T>
+struct ei_functor_traits<std::less<T> >
+{ enum { Cost = 1, PacketAccess = false }; };
+
+template<typename T>
+struct ei_functor_traits<std::greater_equal<T> >
+{ enum { Cost = 1, PacketAccess = false }; };
+
+template<typename T>
+struct ei_functor_traits<std::less_equal<T> >
+{ enum { Cost = 1, PacketAccess = false }; };
+
+template<typename T>
+struct ei_functor_traits<std::equal_to<T> >
+{ enum { Cost = 1, PacketAccess = false }; };
+
+template<typename T>
+struct ei_functor_traits<std::not_equal_to<T> >
+{ enum { Cost = 1, PacketAccess = false }; };
+
+template<typename T>
+struct ei_functor_traits<std::binder2nd<T> >
+{ enum { Cost = ei_functor_traits<T>::Cost, PacketAccess = false }; };
+
+template<typename T>
+struct ei_functor_traits<std::binder1st<T> >
+{ enum { Cost = ei_functor_traits<T>::Cost, PacketAccess = false }; };
+
+template<typename T>
+struct ei_functor_traits<std::unary_negate<T> >
+{ enum { Cost = 1 + ei_functor_traits<T>::Cost, PacketAccess = false }; };
+
+template<typename T>
+struct ei_functor_traits<std::binary_negate<T> >
+{ enum { Cost = 1 + ei_functor_traits<T>::Cost, PacketAccess = false }; };
+
+#ifdef EIGEN_STDEXT_SUPPORT
+
+template<typename T0,typename T1>
+struct ei_functor_traits<std::project1st<T0,T1> >
+{ enum { Cost = 0, PacketAccess = false }; };
+
+template<typename T0,typename T1>
+struct ei_functor_traits<std::project2nd<T0,T1> >
+{ enum { Cost = 0, PacketAccess = false }; };
+
+template<typename T0,typename T1>
+struct ei_functor_traits<std::select2nd<std::pair<T0,T1> > >
+{ enum { Cost = 0, PacketAccess = false }; };
+
+template<typename T0,typename T1>
+struct ei_functor_traits<std::select1st<std::pair<T0,T1> > >
+{ enum { Cost = 0, PacketAccess = false }; };
+
+template<typename T0,typename T1>
+struct ei_functor_traits<std::unary_compose<T0,T1> >
+{ enum { Cost = ei_functor_traits<T0>::Cost + ei_functor_traits<T1>::Cost, PacketAccess = false }; };
+
+template<typename T0,typename T1,typename T2>
+struct ei_functor_traits<std::binary_compose<T0,T1,T2> >
+{ enum { Cost = ei_functor_traits<T0>::Cost + ei_functor_traits<T1>::Cost + ei_functor_traits<T2>::Cost, PacketAccess = false }; };
+
+#endif // EIGEN_STDEXT_SUPPORT
+
+#endif // EIGEN_ARRAY_FUNCTORS_H
--- a/Eigen/src/Array/Norms.h
+++ b/Eigen/src/Array/Norms.h
@@ -0,0 +1,80 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra. Eigen itself is part of the KDE project.
+//
+// Copyright (C) 2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// Eigen is free software; you can redistribute it and/or
+// modify it under the terms of the GNU Lesser General Public
+// License as published by the Free Software Foundation; either
+// version 3 of the License, or (at your option) any later version.
+//
+// Alternatively, you can redistribute it and/or
+// modify it under the terms of the GNU General Public License as
+// published by the Free Software Foundation; either version 2 of
+// the License, or (at your option) any later version.
+//
+// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
+// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
+// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
+// GNU General Public License for more details.
+//
+// You should have received a copy of the GNU Lesser General Public
+// License and a copy of the GNU General Public License along with
+// Eigen. If not, see <http://www.gnu.org/licenses/>.
+
+#ifndef EIGEN_ARRAY_NORMS_H
+#define EIGEN_ARRAY_NORMS_H
+
+template<typename Derived, int p>
+struct ei_lpNorm_selector
+{
+  typedef typename NumTraits<typename ei_traits<Derived>::Scalar>::Real RealScalar;
+  inline static RealScalar run(const MatrixBase<Derived>& m)
+  {
+    return ei_pow(m.cwise().abs().cwise().pow(p).sum(), RealScalar(1)/p);
+  }
+};
+
+template<typename Derived>
+struct ei_lpNorm_selector<Derived, 1>
+{
+  inline static typename NumTraits<typename ei_traits<Derived>::Scalar>::Real run(const MatrixBase<Derived>& m)
+  {
+    return m.cwise().abs().sum();
+  }
+};
+
+template<typename Derived>
+struct ei_lpNorm_selector<Derived, 2>
+{
+  inline static typename NumTraits<typename ei_traits<Derived>::Scalar>::Real run(const MatrixBase<Derived>& m)
+  {
+    return m.norm();
+  }
+};
+
+template<typename Derived>
+struct ei_lpNorm_selector<Derived, Infinity>
+{
+  inline static typename NumTraits<typename ei_traits<Derived>::Scalar>::Real run(const MatrixBase<Derived>& m)
+  {
+    return m.cwise().abs().maxCoeff();
+  }
+};
+
+/** \array_module
+  * 
+  * \returns the \f$ \ell^p \f$ norm of *this, that is, returns the p-th root of the sum of the p-th powers of the absolute values
+  *          of the coefficients of *this. If \a p is the special value \a Eigen::Infinity, this function returns the \f$ \ell^p\infty \f$
+  *          norm, that is the maximum of the absolute values of the coefficients of *this.
+  *
+  * \sa norm()
+  */
+template<typename Derived>
+template<int p>
+inline typename NumTraits<typename ei_traits<Derived>::Scalar>::Real MatrixBase<Derived>::lpNorm() const
+{
+  return ei_lpNorm_selector<Derived, p>::run(*this);
+}
+
+#endif // EIGEN_ARRAY_NORMS_H
--- a/Eigen/src/Array/PartialRedux.h
+++ b/Eigen/src/Array/PartialRedux.h
@@ -0,0 +1,338 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra. Eigen itself is part of the KDE project.
+//
+// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// Eigen is free software; you can redistribute it and/or
+// modify it under the terms of the GNU Lesser General Public
+// License as published by the Free Software Foundation; either
+// version 3 of the License, or (at your option) any later version.
+//
+// Alternatively, you can redistribute it and/or
+// modify it under the terms of the GNU General Public License as
+// published by the Free Software Foundation; either version 2 of
+// the License, or (at your option) any later version.
+//
+// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
+// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
+// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
+// GNU General Public License for more details.
+//
+// You should have received a copy of the GNU Lesser General Public
+// License and a copy of the GNU General Public License along with
+// Eigen. If not, see <http://www.gnu.org/licenses/>.
+
+#ifndef EIGEN_PARTIAL_REDUX_H
+#define EIGEN_PARTIAL_REDUX_H
+
+/** \array_module \ingroup Array
+  *
+  * \class PartialReduxExpr
+  *
+  * \brief Generic expression of a partially reduxed matrix
+  *
+  * \param MatrixType the type of the matrix we are applying the redux operation
+  * \param MemberOp type of the member functor
+  * \param Direction indicates the direction of the redux (Vertical or Horizontal)
+  *
+  * This class represents an expression of a partial redux operator of a matrix.
+  * It is the return type of PartialRedux functions,
+  * and most of the time this is the only way it is used.
+  *
+  * \sa class PartialRedux
+  */
+
+template< typename MatrixType, typename MemberOp, int Direction>
+class PartialReduxExpr;
+
+template<typename MatrixType, typename MemberOp, int Direction>
+struct ei_traits<PartialReduxExpr<MatrixType, MemberOp, Direction> >
+{
+  typedef typename MemberOp::result_type Scalar;
+  typedef typename MatrixType::Scalar InputScalar;
+  typedef typename ei_nested<MatrixType>::type MatrixTypeNested;
+  typedef typename ei_cleantype<MatrixTypeNested>::type _MatrixTypeNested;
+  enum {
+    RowsAtCompileTime = Direction==Vertical   ? 1 : MatrixType::RowsAtCompileTime,
+    ColsAtCompileTime = Direction==Horizontal ? 1 : MatrixType::ColsAtCompileTime,
+    MaxRowsAtCompileTime = Direction==Vertical   ? 1 : MatrixType::MaxRowsAtCompileTime,
+    MaxColsAtCompileTime = Direction==Horizontal ? 1 : MatrixType::MaxColsAtCompileTime,
+    Flags = (unsigned int)_MatrixTypeNested::Flags & HereditaryBits,
+    TraversalSize = Direction==Vertical ? RowsAtCompileTime : ColsAtCompileTime
+  };
+  typedef typename MemberOp::template Cost<InputScalar,int(TraversalSize)> CostOpType;
+  enum {
+    CoeffReadCost = TraversalSize * ei_traits<_MatrixTypeNested>::CoeffReadCost + int(CostOpType::value)
+  };
+};
+
+template< typename MatrixType, typename MemberOp, int Direction>
+class PartialReduxExpr : ei_no_assignment_operator,
+  public MatrixBase<PartialReduxExpr<MatrixType, MemberOp, Direction> >
+{
+  public:
+
+    EIGEN_GENERIC_PUBLIC_INTERFACE(PartialReduxExpr)
+    typedef typename ei_traits<PartialReduxExpr>::MatrixTypeNested MatrixTypeNested;
+    typedef typename ei_traits<PartialReduxExpr>::_MatrixTypeNested _MatrixTypeNested;
+
+    PartialReduxExpr(const MatrixType& mat, const MemberOp& func = MemberOp())
+      : m_matrix(mat), m_functor(func) {}
+
+    int rows() const { return (Direction==Vertical   ? 1 : m_matrix.rows()); }
+    int cols() const { return (Direction==Horizontal ? 1 : m_matrix.cols()); }
+
+    const Scalar coeff(int i, int j) const
+    {
+      if (Direction==Vertical)
+        return m_functor(m_matrix.col(j));
+      else
+        return m_functor(m_matrix.row(i));
+    }
+
+  protected:
+    const MatrixTypeNested m_matrix;
+    const MemberOp m_functor;
+};
+
+#define EIGEN_MEMBER_FUNCTOR(MEMBER,COST)                           \
+  template <typename ResultType>                                    \
+  struct ei_member_##MEMBER EIGEN_EMPTY_STRUCT {                    \
+    typedef ResultType result_type;                                 \
+    template<typename Scalar, int Size> struct Cost                 \
+    { enum { value = COST }; };                                     \
+    template<typename Derived>                                      \
+    inline ResultType operator()(const MatrixBase<Derived>& mat) const     \
+    { return mat.MEMBER(); }                                        \
+  }
+
+EIGEN_MEMBER_FUNCTOR(squaredNorm, Size * NumTraits<Scalar>::MulCost + (Size-1)*NumTraits<Scalar>::AddCost);
+EIGEN_MEMBER_FUNCTOR(norm, (Size+5) * NumTraits<Scalar>::MulCost + (Size-1)*NumTraits<Scalar>::AddCost);
+EIGEN_MEMBER_FUNCTOR(sum, (Size-1)*NumTraits<Scalar>::AddCost);
+EIGEN_MEMBER_FUNCTOR(minCoeff, (Size-1)*NumTraits<Scalar>::AddCost);
+EIGEN_MEMBER_FUNCTOR(maxCoeff, (Size-1)*NumTraits<Scalar>::AddCost);
+EIGEN_MEMBER_FUNCTOR(all, (Size-1)*NumTraits<Scalar>::AddCost);
+EIGEN_MEMBER_FUNCTOR(any, (Size-1)*NumTraits<Scalar>::AddCost);
+EIGEN_MEMBER_FUNCTOR(count, (Size-1)*NumTraits<Scalar>::AddCost);
+
+/** \internal */
+template <typename BinaryOp, typename Scalar>
+struct ei_member_redux {
+  typedef typename ei_result_of<
+                     BinaryOp(Scalar)
+                   >::type  result_type;
+  template<typename _Scalar, int Size> struct Cost
+  { enum { value = (Size-1) * ei_functor_traits<BinaryOp>::Cost }; };
+  ei_member_redux(const BinaryOp func) : m_functor(func) {}
+  template<typename Derived>
+  inline result_type operator()(const MatrixBase<Derived>& mat) const
+  { return mat.redux(m_functor); }
+  const BinaryOp m_functor;
+};
+
+/** \array_module \ingroup Array
+  *
+  * \class PartialRedux
+  *
+  * \brief Pseudo expression providing partial reduction operations
+  *
+  * \param ExpressionType the type of the object on which to do partial reductions
+  * \param Direction indicates the direction of the redux (Vertical or Horizontal)
+  *
+  * This class represents a pseudo expression with partial reduction features.
+  * It is the return type of MatrixBase::colwise() and MatrixBase::rowwise()
+  * and most of the time this is the only way it is used.
+  *
+  * Example: \include MatrixBase_colwise.cpp
+  * Output: \verbinclude MatrixBase_colwise.out
+  *
+  * \sa MatrixBase::colwise(), MatrixBase::rowwise(), class PartialReduxExpr
+  */
+template<typename ExpressionType, int Direction> class PartialRedux
+{
+  public:
+
+    typedef typename ei_traits<ExpressionType>::Scalar Scalar;
+    typedef typename ei_meta_if<ei_must_nest_by_value<ExpressionType>::ret,
+        ExpressionType, const ExpressionType&>::ret ExpressionTypeNested;
+
+    template<template<typename _Scalar> class Functor> struct ReturnType
+    {
+      typedef PartialReduxExpr<ExpressionType,
+                               Functor<typename ei_traits<ExpressionType>::Scalar>,
+                               Direction
+                              > Type;
+    };
+
+    template<typename BinaryOp> struct ReduxReturnType
+    {
+      typedef PartialReduxExpr<ExpressionType,
+                               ei_member_redux<BinaryOp,typename ei_traits<ExpressionType>::Scalar>,
+                               Direction
+                              > Type;
+    };
+
+    typedef typename ExpressionType::PlainMatrixType CrossReturnType;
+    
+    inline PartialRedux(const ExpressionType& matrix) : m_matrix(matrix) {}
+
+    /** \internal */
+    inline const ExpressionType& _expression() const { return m_matrix; }
+
+    template<typename BinaryOp>
+    const typename ReduxReturnType<BinaryOp>::Type
+    redux(const BinaryOp& func = BinaryOp()) const;
+
+    /** \returns a row (or column) vector expression of the smallest coefficient
+      * of each column (or row) of the referenced expression.
+      *
+      * Example: \include PartialRedux_minCoeff.cpp
+      * Output: \verbinclude PartialRedux_minCoeff.out
+      *
+      * \sa MatrixBase::minCoeff() */
+    const typename ReturnType<ei_member_minCoeff>::Type minCoeff() const
+    { return _expression(); }
+
+    /** \returns a row (or column) vector expression of the largest coefficient
+      * of each column (or row) of the referenced expression.
+      *
+      * Example: \include PartialRedux_maxCoeff.cpp
+      * Output: \verbinclude PartialRedux_maxCoeff.out
+      *
+      * \sa MatrixBase::maxCoeff() */
+    const typename ReturnType<ei_member_maxCoeff>::Type maxCoeff() const
+    { return _expression(); }
+
+    /** \returns a row (or column) vector expression of the squared norm
+      * of each column (or row) of the referenced expression.
+      *
+      * Example: \include PartialRedux_squaredNorm.cpp
+      * Output: \verbinclude PartialRedux_squaredNorm.out
+      *
+      * \sa MatrixBase::squaredNorm() */
+    const typename ReturnType<ei_member_squaredNorm>::Type squaredNorm() const
+    { return _expression(); }
+
+    /** \returns a row (or column) vector expression of the norm
+      * of each column (or row) of the referenced expression.
+      *
+      * Example: \include PartialRedux_norm.cpp
+      * Output: \verbinclude PartialRedux_norm.out
+      *
+      * \sa MatrixBase::norm() */
+    const typename ReturnType<ei_member_norm>::Type norm() const
+    { return _expression(); }
+
+    /** \returns a row (or column) vector expression of the sum
+      * of each column (or row) of the referenced expression.
+      *
+      * Example: \include PartialRedux_sum.cpp
+      * Output: \verbinclude PartialRedux_sum.out
+      *
+      * \sa MatrixBase::sum() */
+    const typename ReturnType<ei_member_sum>::Type sum() const
+    { return _expression(); }
+
+    /** \returns a row (or column) vector expression representing
+      * whether \b all coefficients of each respective column (or row) are \c true.
+      *
+      * \sa MatrixBase::all() */
+    const typename ReturnType<ei_member_all>::Type all() const
+    { return _expression(); }
+
+    /** \returns a row (or column) vector expression representing
+      * whether \b at \b least one coefficient of each respective column (or row) is \c true.
+      *
+      * \sa MatrixBase::any() */
+    const typename ReturnType<ei_member_any>::Type any() const
+    { return _expression(); }
+    
+    /** \returns a row (or column) vector expression representing
+      * the number of \c true coefficients of each respective column (or row).
+      *
+      * Example: \include PartialRedux_count.cpp
+      * Output: \verbinclude PartialRedux_count.out
+      *
+      * \sa MatrixBase::count() */
+    const PartialReduxExpr<ExpressionType, ei_member_count<int>, Direction> count() const
+    { return _expression(); }
+
+    /** \returns a 3x3 matrix expression of the cross product
+      * of each column or row of the referenced expression with the \a other vector.
+      *
+      * \geometry_module
+      *
+      * \sa MatrixBase::cross() */
+    template<typename OtherDerived>
+    const CrossReturnType cross(const MatrixBase<OtherDerived>& other) const
+    {
+      EIGEN_STATIC_ASSERT_MATRIX_SPECIFIC_SIZE(CrossReturnType,3,3)
+      EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(OtherDerived,3)
+      EIGEN_STATIC_ASSERT((ei_is_same_type<Scalar, typename OtherDerived::Scalar>::ret),
+        YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
+
+      if(Direction==Vertical)
+        return (CrossReturnType()
+                                 << _expression().col(0).cross(other),
+                                    _expression().col(1).cross(other),
+                                    _expression().col(2).cross(other)).finished();
+      else
+        return (CrossReturnType() 
+                                 << _expression().row(0).cross(other),
+                                    _expression().row(1).cross(other),
+                                    _expression().row(2).cross(other)).finished();
+    }
+
+  protected:
+    ExpressionTypeNested m_matrix;
+};
+
+/** \array_module
+  *
+  * \returns a PartialRedux wrapper of *this providing additional partial reduction operations
+  *
+  * Example: \include MatrixBase_colwise.cpp
+  * Output: \verbinclude MatrixBase_colwise.out
+  *
+  * \sa rowwise(), class PartialRedux
+  */
+template<typename Derived>
+inline const PartialRedux<Derived,Vertical>
+MatrixBase<Derived>::colwise() const
+{
+  return derived();
+}
+
+/** \array_module
+  *
+  * \returns a PartialRedux wrapper of *this providing additional partial reduction operations
+  *
+  * Example: \include MatrixBase_rowwise.cpp
+  * Output: \verbinclude MatrixBase_rowwise.out
+  *
+  * \sa colwise(), class PartialRedux
+  */
+template<typename Derived>
+inline const PartialRedux<Derived,Horizontal>
+MatrixBase<Derived>::rowwise() const
+{
+  return derived();
+}
+
+/** \returns a row or column vector expression of \c *this reduxed by \a func
+  *
+  * The template parameter \a BinaryOp is the type of the functor
+  * of the custom redux operator. Note that func must be an associative operator.
+  *
+  * \sa class PartialRedux, MatrixBase::colwise(), MatrixBase::rowwise()
+  */
+template<typename ExpressionType, int Direction>
+template<typename BinaryOp>
+const typename PartialRedux<ExpressionType,Direction>::template ReduxReturnType<BinaryOp>::Type
+PartialRedux<ExpressionType,Direction>::redux(const BinaryOp& func) const
+{
+  return typename ReduxReturnType<BinaryOp>::Type(_expression(), func);
+}
+
+#endif // EIGEN_PARTIAL_REDUX_H
--- a/Eigen/src/Array/Random.h
+++ b/Eigen/src/Array/Random.h
@@ -0,0 +1,121 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra. Eigen itself is part of the KDE project.
+//
+// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
+//
+// Eigen is free software; you can redistribute it and/or
+// modify it under the terms of the GNU Lesser General Public
+// License as published by the Free Software Foundation; either
+// version 3 of the License, or (at your option) any later version.
+//
+// Alternatively, you can redistribute it and/or
+// modify it under the terms of the GNU General Public License as
+// published by the Free Software Foundation; either version 2 of
+// the License, or (at your option) any later version.
+//
+// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
+// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
+// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
+// GNU General Public License for more details.
+//
+// You should have received a copy of the GNU Lesser General Public
+// License and a copy of the GNU General Public License along with
+// Eigen. If not, see <http://www.gnu.org/licenses/>.
+
+#ifndef EIGEN_RANDOM_H
+#define EIGEN_RANDOM_H
+
+template<typename Scalar> struct ei_scalar_random_op EIGEN_EMPTY_STRUCT {
+  inline ei_scalar_random_op(void) {}
+  inline const Scalar operator() (int, int) const { return ei_random<Scalar>(); }
+};
+template<typename Scalar>
+struct ei_functor_traits<ei_scalar_random_op<Scalar> >
+{ enum { Cost = 5 * NumTraits<Scalar>::MulCost, PacketAccess = false, IsRepeatable = false }; };
+
+/** \array_module
+  * 
+  * \returns a random matrix (not an expression, the matrix is immediately evaluated).
+  *
+  * The parameters \a rows and \a cols are the number of rows and of columns of
+  * the returned matrix. Must be compatible with this MatrixBase type.
+  *
+  * This variant is meant to be used for dynamic-size matrix types. For fixed-size types,
+  * it is redundant to pass \a rows and \a cols as arguments, so ei_random() should be used
+  * instead.
+  *
+  * \addexample RandomExample \label How to create a matrix with random coefficients
+  *
+  * Example: \include MatrixBase_random_int_int.cpp
+  * Output: \verbinclude MatrixBase_random_int_int.out
+  *
+  * \sa MatrixBase::setRandom(), MatrixBase::Random(int), MatrixBase::Random()
+  */
+template<typename Derived>
+inline const CwiseNullaryOp<ei_scalar_random_op<typename ei_traits<Derived>::Scalar>, Derived>
+MatrixBase<Derived>::Random(int rows, int cols)
+{
+  return NullaryExpr(rows, cols, ei_scalar_random_op<Scalar>());
+}
+
+/** \array_module
+  * 
+  * \returns a random vector (not an expression, the vector is immediately evaluated).
+  *
+  * The parameter \a size is the size of the returned vector.
+  * Must be compatible with this MatrixBase type.
+  *
+  * \only_for_vectors
+  *
+  * This variant is meant to be used for dynamic-size vector types. For fixed-size types,
+  * it is redundant to pass \a size as argument, so ei_random() should be used
+  * instead.
+  *
+  * Example: \include MatrixBase_random_int.cpp
+  * Output: \verbinclude MatrixBase_random_int.out
+  *
+  * \sa MatrixBase::setRandom(), MatrixBase::Random(int,int), MatrixBase::Random()
+  */
+template<typename Derived>
+inline const CwiseNullaryOp<ei_scalar_random_op<typename ei_traits<Derived>::Scalar>, Derived>
+MatrixBase<Derived>::Random(int size)
+{
+  return NullaryExpr(size, ei_scalar_random_op<Scalar>());
+}
+
+/** \array_module
+  * 
+  * \returns a fixed-size random matrix or vector
+  * (not an expression, the matrix is immediately evaluated).
+  *
+  * This variant is only for fixed-size MatrixBase types. For dynamic-size types, you
+  * need to use the variants taking size arguments.
+  *
+  * Example: \include MatrixBase_random.cpp
+  * Output: \verbinclude MatrixBase_random.out
+  *
+  * \sa MatrixBase::setRandom(), MatrixBase::Random(int,int), MatrixBase::Random(int)
+  */
+template<typename Derived>
+inline const CwiseNullaryOp<ei_scalar_random_op<typename ei_traits<Derived>::Scalar>, Derived>
+MatrixBase<Derived>::Random()
+{
+  return NullaryExpr(RowsAtCompileTime, ColsAtCompileTime, ei_scalar_random_op<Scalar>());
+}
+
+/** \array_module
+  * 
+  * Sets all coefficients in this expression to random values.
+  *
+  * Example: \include MatrixBase_setRandom.cpp
+  * Output: \verbinclude MatrixBase_setRandom.out
+  *
+  * \sa class CwiseNullaryOp, MatrixBase::setRandom(int,int)
+  */
+template<typename Derived>
+inline Derived& MatrixBase<Derived>::setRandom()
+{
+  return *this = Random(rows(), cols());
+}
+
+#endif // EIGEN_RANDOM_H
--- a/Eigen/src/Array/Select.h
+++ b/Eigen/src/Array/Select.h
@@ -1,7 +1,7 @@
 // This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
+// for linear algebra. Eigen itself is part of the KDE project.
 //
-// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
 //
 // Eigen is free software; you can redistribute it and/or
 // modify it under the terms of the GNU Lesser General Public
@@ -25,10 +25,9 @@
 #ifndef EIGEN_SELECT_H
 #define EIGEN_SELECT_H

-namespace Eigen { 
-
-/** \class Select
-  * \ingroup Core_Module
+/** \array_module \ingroup Array
+  *
+  * \class Select
  *
  * \brief Expression of a coefficient wise version of the C++ ternary operator ?:
  *
@@ -37,19 +36,15 @@ namespace Eigen {
  * \param ElseMatrixType the type of the \em else expression
  *
  * This class represents an expression of a coefficient wise version of the C++ ternary operator ?:.
-  * It is the return type of DenseBase::select() and most of the time this is the only way it is used.
+  * It is the return type of MatrixBase::select() and most of the time this is the only way it is used.
  *
-  * \sa DenseBase::select(const DenseBase<ThenDerived>&, const DenseBase<ElseDerived>&) const
+  * \sa MatrixBase::select(const MatrixBase<ThenDerived>&, const MatrixBase<ElseDerived>&) const
  */

-namespace internal {
 template<typename ConditionMatrixType, typename ThenMatrixType, typename ElseMatrixType>
-struct traits<Select<ConditionMatrixType, ThenMatrixType, ElseMatrixType> >
- : traits<ThenMatrixType>
+struct ei_traits<Select<ConditionMatrixType, ThenMatrixType, ElseMatrixType> >
 {
-  typedef typename traits<ThenMatrixType>::Scalar Scalar;
-  typedef Dense StorageKind;
-  typedef typename traits<ThenMatrixType>::XprKind XprKind;
+  typedef typename ei_traits<ThenMatrixType>::Scalar Scalar;
  typedef typename ConditionMatrixType::Nested ConditionMatrixNested;
  typedef typename ThenMatrixType::Nested ThenMatrixNested;
  typedef typename ElseMatrixType::Nested ElseMatrixNested;
@@ -59,43 +54,41 @@ struct traits<Select<ConditionMatrixType, ThenMatrixType, ElseMatrixType> >
    MaxRowsAtCompileTime = ConditionMatrixType::MaxRowsAtCompileTime,
    MaxColsAtCompileTime = ConditionMatrixType::MaxColsAtCompileTime,
    Flags = (unsigned int)ThenMatrixType::Flags & ElseMatrixType::Flags & HereditaryBits,
-    CoeffReadCost = traits<typename remove_all<ConditionMatrixNested>::type>::CoeffReadCost
-                  + EIGEN_SIZE_MAX(traits<typename remove_all<ThenMatrixNested>::type>::CoeffReadCost,
-                                   traits<typename remove_all<ElseMatrixNested>::type>::CoeffReadCost)
+	CoeffReadCost = ei_traits<typename ei_cleantype<ConditionMatrixNested>::type>::CoeffReadCost
+	+ EIGEN_ENUM_MAX(ei_traits<typename ei_cleantype<ThenMatrixNested>::type>::CoeffReadCost,
+	                 ei_traits<typename ei_cleantype<ElseMatrixNested>::type>::CoeffReadCost)
  };
 };
-}

 template<typename ConditionMatrixType, typename ThenMatrixType, typename ElseMatrixType>
-class Select : internal::no_assignment_operator,
-  public internal::dense_xpr_base< Select<ConditionMatrixType, ThenMatrixType, ElseMatrixType> >::type
+class Select : ei_no_assignment_operator,
+  public MatrixBase<Select<ConditionMatrixType, ThenMatrixType, ElseMatrixType> >
 {
  public:

-    typedef typename internal::dense_xpr_base<Select>::type Base;
-    EIGEN_DENSE_PUBLIC_INTERFACE(Select)
+    EIGEN_GENERIC_PUBLIC_INTERFACE(Select)

    Select(const ConditionMatrixType& conditionMatrix,
           const ThenMatrixType& thenMatrix,
           const ElseMatrixType& elseMatrix)
      : m_condition(conditionMatrix), m_then(thenMatrix), m_else(elseMatrix)
    {
-      eigen_assert(m_condition.rows() == m_then.rows() && m_condition.rows() == m_else.rows());
-      eigen_assert(m_condition.cols() == m_then.cols() && m_condition.cols() == m_else.cols());
+      ei_assert(m_condition.rows() == m_then.rows() && m_condition.rows() == m_else.rows());
+      ei_assert(m_condition.cols() == m_then.cols() && m_condition.cols() == m_else.cols());
    }

-    Index rows() const { return m_condition.rows(); }
-    Index cols() const { return m_condition.cols(); }
+    int rows() const { return m_condition.rows(); }
+    int cols() const { return m_condition.cols(); }

-    const Scalar coeff(Index i, Index j) const
+    const Scalar coeff(int i, int j) const
    {
      if (m_condition.coeff(i,j))
        return m_then.coeff(i,j);
      else
        return m_else.coeff(i,j);
    }
-
-    const Scalar coeff(Index i) const
+    
+    const Scalar coeff(int i) const
    {
      if (m_condition.coeff(i))
        return m_then.coeff(i);
@@ -103,29 +96,16 @@ class Select : internal::no_assignment_operator,
        return m_else.coeff(i);
    }

-    const ConditionMatrixType& conditionMatrix() const
-    {
-      return m_condition;
-    }
-
-    const ThenMatrixType& thenMatrix() const
-    {
-      return m_then;
-    }
-
-    const ElseMatrixType& elseMatrix() const
-    {
-      return m_else;
-    }
-
  protected:
-    typename ConditionMatrixType::Nested m_condition;
-    typename ThenMatrixType::Nested m_then;
-    typename ElseMatrixType::Nested m_else;
+    const typename ConditionMatrixType::Nested m_condition;
+    const typename ThenMatrixType::Nested m_then;
+    const typename ElseMatrixType::Nested m_else;
 };


-/** \returns a matrix where each coefficient (i,j) is equal to \a thenMatrix(i,j)
+/** \array_module
+  *
+  * \returns a matrix where each coefficient (i,j) is equal to \a thenMatrix(i,j)
  * if \c *this(i,j), and \a elseMatrix(i,j) otherwise.
  *
  * Example: \include MatrixBase_select.cpp
@@ -136,42 +116,44 @@ class Select : internal::no_assignment_operator,
 template<typename Derived>
 template<typename ThenDerived,typename ElseDerived>
 inline const Select<Derived,ThenDerived,ElseDerived>
-DenseBase<Derived>::select(const DenseBase<ThenDerived>& thenMatrix,
-                            const DenseBase<ElseDerived>& elseMatrix) const
+MatrixBase<Derived>::select(const MatrixBase<ThenDerived>& thenMatrix,
+                            const MatrixBase<ElseDerived>& elseMatrix) const
 {
  return Select<Derived,ThenDerived,ElseDerived>(derived(), thenMatrix.derived(), elseMatrix.derived());
 }

-/** Version of DenseBase::select(const DenseBase&, const DenseBase&) with
+/** \array_module
+  *
+  * Version of MatrixBase::select(const MatrixBase&, const MatrixBase&) with
  * the \em else expression being a scalar value.
  *
-  * \sa DenseBase::select(const DenseBase<ThenDerived>&, const DenseBase<ElseDerived>&) const, class Select
+  * \sa MatrixBase::select(const MatrixBase<ThenDerived>&, const MatrixBase<ElseDerived>&) const, class Select
  */
 template<typename Derived>
 template<typename ThenDerived>
-inline const Select<Derived,ThenDerived, typename ThenDerived::ConstantReturnType>
-DenseBase<Derived>::select(const DenseBase<ThenDerived>& thenMatrix,
+inline const Select<Derived,ThenDerived, NestByValue<typename ThenDerived::ConstantReturnType> >
+MatrixBase<Derived>::select(const MatrixBase<ThenDerived>& thenMatrix,
                            typename ThenDerived::Scalar elseScalar) const
 {
-  return Select<Derived,ThenDerived,typename ThenDerived::ConstantReturnType>(
+  return Select<Derived,ThenDerived,NestByValue<typename ThenDerived::ConstantReturnType> >(
    derived(), thenMatrix.derived(), ThenDerived::Constant(rows(),cols(),elseScalar));
 }

-/** Version of DenseBase::select(const DenseBase&, const DenseBase&) with
+/** \array_module
+  *
+  * Version of MatrixBase::select(const MatrixBase&, const MatrixBase&) with
  * the \em then expression being a scalar value.
  *
-  * \sa DenseBase::select(const DenseBase<ThenDerived>&, const DenseBase<ElseDerived>&) const, class Select
+  * \sa MatrixBase::select(const MatrixBase<ThenDerived>&, const MatrixBase<ElseDerived>&) const, class Select
  */
 template<typename Derived>
 template<typename ElseDerived>
-inline const Select<Derived, typename ElseDerived::ConstantReturnType, ElseDerived >
-DenseBase<Derived>::select(typename ElseDerived::Scalar thenScalar,
-                            const DenseBase<ElseDerived>& elseMatrix) const
+inline const Select<Derived, NestByValue<typename ElseDerived::ConstantReturnType>, ElseDerived >
+MatrixBase<Derived>::select(typename ElseDerived::Scalar thenScalar,
+                            const MatrixBase<ElseDerived>& elseMatrix) const
 {
-  return Select<Derived,typename ElseDerived::ConstantReturnType,ElseDerived>(
+  return Select<Derived,NestByValue<typename ElseDerived::ConstantReturnType>,ElseDerived>(
    derived(), ElseDerived::Constant(rows(),cols(),thenScalar), elseMatrix.derived());
 }

-} // end namespace Eigen
-
 #endif // EIGEN_SELECT_H
--- a/Eigen/src/CMakeLists.txt
+++ b/Eigen/src/CMakeLists.txt
@@ -1,7 +1,9 @@
-file(GLOB Eigen_src_subdirectories "*")
-escape_string_as_regex(ESCAPED_CMAKE_CURRENT_SOURCE_DIR "${CMAKE_CURRENT_SOURCE_DIR}")
-foreach(f ${Eigen_src_subdirectories})
-  if(NOT f MATCHES "\\.txt" AND NOT f MATCHES "${ESCAPED_CMAKE_CURRENT_SOURCE_DIR}/[.].+" )
-    add_subdirectory(${f})
-  endif()
-endforeach()
+ADD_SUBDIRECTORY(Core)
+ADD_SUBDIRECTORY(LU)
+ADD_SUBDIRECTORY(QR)
+ADD_SUBDIRECTORY(SVD)
+ADD_SUBDIRECTORY(Cholesky)
+ADD_SUBDIRECTORY(Array)
+ADD_SUBDIRECTORY(Geometry)
+ADD_SUBDIRECTORY(LeastSquares)
+ADD_SUBDIRECTORY(Sparse)
--- a/Eigen/src/Cholesky/CMakeLists.txt
+++ b/Eigen/src/Cholesky/CMakeLists.txt
@@ -2,5 +2,5 @@ FILE(GLOB Eigen_Cholesky_SRCS "*.h")

 INSTALL(FILES
  ${Eigen_Cholesky_SRCS}
-  DESTINATION ${INCLUDE_INSTALL_DIR}/Eigen/src/Cholesky COMPONENT Devel
+  DESTINATION ${INCLUDE_INSTALL_DIR}/Eigen/src/Cholesky
  )
--- a/Eigen/src/Cholesky/CholeskyInstantiations.cpp
+++ b/Eigen/src/Cholesky/CholeskyInstantiations.cpp
@@ -1,7 +1,7 @@
 // This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
+// for linear algebra. Eigen itself is part of the KDE project.
 //
-// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
 //
 // Eigen is free software; you can redistribute it and/or
 // modify it under the terms of the GNU Lesser General Public
@@ -22,13 +22,14 @@
 // License and a copy of the GNU General Public License along with
 // Eigen. If not, see <http://www.gnu.org/licenses/>.

-#define SCALAR        double
-#define SCALAR_SUFFIX d
-#define SCALAR_SUFFIX_UP "D"
-#define ISCOMPLEX     0
+#ifndef EIGEN_EXTERN_INSTANTIATIONS
+#define EIGEN_EXTERN_INSTANTIATIONS
+#endif
+#include "../../Core"
+#undef EIGEN_EXTERN_INSTANTIATIONS

-#include "level1_impl.h"
-#include "level1_real_impl.h"
-#include "level2_impl.h"
-#include "level2_real_impl.h"
-#include "level3_impl.h"
+#include "../../Cholesky"
+
+namespace Eigen {
+  EIGEN_CHOLESKY_MODULE_INSTANTIATE();
+}
--- a/Eigen/src/Cholesky/LDLT.h
+++ b/Eigen/src/Cholesky/LDLT.h
@@ -1,10 +1,7 @@
 // This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
+// for linear algebra. Eigen itself is part of the KDE project.
 //
-// Copyright (C) 2008-2011 Gael Guennebaud <gael.guennebaud@inria.fr>
-// Copyright (C) 2009 Keir Mierle <mierle@gmail.com>
-// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
-// Copyright (C) 2011 Timothy E. Holy <tim.holy@gmail.com >
+// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
 //
 // Eigen is free software; you can redistribute it and/or
 // modify it under the terms of the GNU Lesser General Public
@@ -28,580 +25,174 @@
 #ifndef EIGEN_LDLT_H
 #define EIGEN_LDLT_H

-namespace Eigen { 
-
-namespace internal {
-template<typename MatrixType, int UpLo> struct LDLT_Traits;
-}
-
-/** \ingroup Cholesky_Module
+/** \ingroup cholesky_Module
  *
  * \class LDLT
  *
-  * \brief Robust Cholesky decomposition of a matrix with pivoting
+  * \brief Robust Cholesky decomposition of a matrix and associated features
  *
-  * \param MatrixType the type of the matrix of which to compute the LDL^T Cholesky decomposition
-  * \param UpLo the triangular part that will be used for the decompositon: Lower (default) or Upper.
-  *             The other triangular part won't be read.
+  * \param MatrixType the type of the matrix of which we are computing the LDL^T Cholesky decomposition
  *
-  * Perform a robust Cholesky decomposition of a positive semidefinite or negative semidefinite
-  * matrix \f$ A \f$ such that \f$ A =  P^TLDL^*P \f$, where P is a permutation matrix, L
-  * is lower triangular with a unit diagonal and D is a diagonal matrix.
+  * This class performs a Cholesky decomposition without square root of a symmetric, positive definite
+  * matrix A such that A = L D L^* = U^* D U, where L is lower triangular with a unit diagonal
+  * and D is a diagonal matrix.
  *
-  * The decomposition uses pivoting to ensure stability, so that L will have
-  * zeros in the bottom right rank(A) - n submatrix. Avoiding the square root
-  * on D also stabilizes the computation.
+  * Compared to a standard Cholesky decomposition, avoiding the square roots allows for faster and more
+  * stable computation.
  *
-  * Remember that Cholesky decompositions are not rank-revealing. Also, do not use a Cholesky
-  * decomposition to determine whether a system of equations has a solution.
+  * Note that during the decomposition, only the upper triangular part of A is considered. Therefore,
+  * the strict lower part does not have to store correct values.
  *
  * \sa MatrixBase::ldlt(), class LLT
  */
-template<typename _MatrixType, int _UpLo> class LDLT
+template<typename MatrixType> class LDLT
 {
  public:
-    typedef _MatrixType MatrixType;
-    enum {
-      RowsAtCompileTime = MatrixType::RowsAtCompileTime,
-      ColsAtCompileTime = MatrixType::ColsAtCompileTime,
-      Options = MatrixType::Options & ~RowMajorBit, // these are the options for the TmpMatrixType, we need a ColMajor matrix here!
-      MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
-      MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime,
-      UpLo = _UpLo
-    };
+
    typedef typename MatrixType::Scalar Scalar;
    typedef typename NumTraits<typename MatrixType::Scalar>::Real RealScalar;
-    typedef typename MatrixType::Index Index;
-    typedef Matrix<Scalar, RowsAtCompileTime, 1, Options, MaxRowsAtCompileTime, 1> TmpMatrixType;
+    typedef Matrix<Scalar, MatrixType::ColsAtCompileTime, 1> VectorType;

-    typedef Transpositions<RowsAtCompileTime, MaxRowsAtCompileTime> TranspositionType;
-    typedef PermutationMatrix<RowsAtCompileTime, MaxRowsAtCompileTime> PermutationType;
-
-    typedef internal::LDLT_Traits<MatrixType,UpLo> Traits;
-
-    /** \brief Default Constructor.
-      *
-      * The default constructor is useful in cases in which the user intends to
-      * perform decompositions via LDLT::compute(const MatrixType&).
-      */
-    LDLT() : m_matrix(), m_transpositions(), m_isInitialized(false) {}
-
-    /** \brief Default Constructor with memory preallocation
-      *
-      * Like the default constructor but with preallocation of the internal data
-      * according to the specified problem \a size.
-      * \sa LDLT()
-      */
-    LDLT(Index size)
-      : m_matrix(size, size),
-        m_transpositions(size),
-        m_temporary(size),
-        m_isInitialized(false)
-    {}
-
-    /** \brief Constructor with decomposition
-      *
-      * This calculates the decomposition for the input \a matrix.
-      * \sa LDLT(Index size)
-      */
    LDLT(const MatrixType& matrix)
-      : m_matrix(matrix.rows(), matrix.cols()),
-        m_transpositions(matrix.rows()),
-        m_temporary(matrix.rows()),
-        m_isInitialized(false)
+      : m_matrix(matrix.rows(), matrix.cols())
    {
      compute(matrix);
    }

-    /** Clear any existing decomposition
-     * \sa rankUpdate(w,sigma)
-     */
-    void setZero()
-    {
-      m_isInitialized = false;
-    }
-
-    /** \returns a view of the upper triangular matrix U */
-    inline typename Traits::MatrixU matrixU() const
-    {
-      eigen_assert(m_isInitialized && "LDLT is not initialized.");
-      return Traits::getU(m_matrix);
-    }
-
-    /** \returns a view of the lower triangular matrix L */
-    inline typename Traits::MatrixL matrixL() const
-    {
-      eigen_assert(m_isInitialized && "LDLT is not initialized.");
-      return Traits::getL(m_matrix);
-    }
-
-    /** \returns the permutation matrix P as a transposition sequence.
-      */
-    inline const TranspositionType& transpositionsP() const
-    {
-      eigen_assert(m_isInitialized && "LDLT is not initialized.");
-      return m_transpositions;
-    }
+    /** \returns the lower triangular matrix L */
+    inline Part<MatrixType, UnitLowerTriangular> matrixL(void) const { return m_matrix; }

    /** \returns the coefficients of the diagonal matrix D */
-    inline Diagonal<const MatrixType> vectorD() const
-    {
-      eigen_assert(m_isInitialized && "LDLT is not initialized.");
-      return m_matrix.diagonal();
-    }
+    inline DiagonalCoeffs<MatrixType> vectorD(void) const { return m_matrix.diagonal(); }

-    /** \returns true if the matrix is positive (semidefinite) */
-    inline bool isPositive() const
-    {
-      eigen_assert(m_isInitialized && "LDLT is not initialized.");
-      return m_sign == 1;
-    }
-    
-    #ifdef EIGEN2_SUPPORT
-    inline bool isPositiveDefinite() const
-    {
-      return isPositive();
-    }
-    #endif
+    /** \returns true if the matrix is positive definite */
+    inline bool isPositiveDefinite(void) const { return m_isPositiveDefinite; }

-    /** \returns true if the matrix is negative (semidefinite) */
-    inline bool isNegative(void) const
-    {
-      eigen_assert(m_isInitialized && "LDLT is not initialized.");
-      return m_sign == -1;
-    }
-
-    /** \returns a solution x of \f$ A x = b \f$ using the current decomposition of A.
-      *
-      * This function also supports in-place solves using the syntax <tt>x = decompositionObject.solve(x)</tt> .
-      *
-      * \note_about_checking_solutions
-      *
-      * More precisely, this method solves \f$ A x = b \f$ using the decomposition \f$ A = P^T L D L^* P \f$
-      * by solving the systems \f$ P^T y_1 = b \f$, \f$ L y_2 = y_1 \f$, \f$ D y_3 = y_2 \f$, 
-      * \f$ L^* y_4 = y_3 \f$ and \f$ P x = y_4 \f$ in succession. If the matrix \f$ A \f$ is singular, then
-      * \f$ D \f$ will also be singular (all the other matrices are invertible). In that case, the
-      * least-square solution of \f$ D y_3 = y_2 \f$ is computed. This does not mean that this function
-      * computes the least-square solution of \f$ A x = b \f$ is \f$ A \f$ is singular.
-      *
-      * \sa MatrixBase::ldlt()
-      */
-    template<typename Rhs>
-    inline const internal::solve_retval<LDLT, Rhs>
-    solve(const MatrixBase<Rhs>& b) const
-    {
-      eigen_assert(m_isInitialized && "LDLT is not initialized.");
-      eigen_assert(m_matrix.rows()==b.rows()
-                && "LDLT::solve(): invalid number of rows of the right hand side matrix b");
-      return internal::solve_retval<LDLT, Rhs>(*this, b.derived());
-    }
-
-    #ifdef EIGEN2_SUPPORT
-    template<typename OtherDerived, typename ResultType>
-    bool solve(const MatrixBase<OtherDerived>& b, ResultType *result) const
-    {
-      *result = this->solve(b);
-      return true;
-    }
-    #endif
+    template<typename RhsDerived, typename ResDerived>
+    bool solve(const MatrixBase<RhsDerived> &b, MatrixBase<ResDerived> *result) const;

    template<typename Derived>
    bool solveInPlace(MatrixBase<Derived> &bAndX) const;

-    LDLT& compute(const MatrixType& matrix);
-
-    template <typename Derived>
-    LDLT& rankUpdate(const MatrixBase<Derived>& w,RealScalar alpha=1);
-
-    /** \returns the internal LDLT decomposition matrix
-      *
-      * TODO: document the storage layout
-      */
-    inline const MatrixType& matrixLDLT() const
-    {
-      eigen_assert(m_isInitialized && "LDLT is not initialized.");
-      return m_matrix;
-    }
-
-    MatrixType reconstructedMatrix() const;
-
-    inline Index rows() const { return m_matrix.rows(); }
-    inline Index cols() const { return m_matrix.cols(); }
-
-    /** \brief Reports whether previous computation was successful.
-      *
-      * \returns \c Success if computation was succesful,
-      *          \c NumericalIssue if the matrix.appears to be negative.
-      */
-    ComputationInfo info() const
-    {
-      eigen_assert(m_isInitialized && "LDLT is not initialized.");
-      return Success;
-    }
+    void compute(const MatrixType& matrix);

  protected:
-
    /** \internal
-      * Used to compute and store the Cholesky decomposition A = L D L^* = U^* D U.
+      * Used to compute and store the cholesky decomposition A = L D L^* = U^* D U.
      * The strict upper part is used during the decomposition, the strict lower
      * part correspond to the coefficients of L (its diagonal is equal to 1 and
      * is not stored), and the diagonal entries correspond to D.
      */
    MatrixType m_matrix;
-    TranspositionType m_transpositions;
-    TmpMatrixType m_temporary;
-    int m_sign;
-    bool m_isInitialized;
+
+    bool m_isPositiveDefinite;
 };

-namespace internal {
-
-template<int UpLo> struct ldlt_inplace;
-
-template<> struct ldlt_inplace<Lower>
-{
-  template<typename MatrixType, typename TranspositionType, typename Workspace>
-  static bool unblocked(MatrixType& mat, TranspositionType& transpositions, Workspace& temp, int* sign=0)
-  {
-    typedef typename MatrixType::Scalar Scalar;
-    typedef typename MatrixType::RealScalar RealScalar;
-    typedef typename MatrixType::Index Index;
-    eigen_assert(mat.rows()==mat.cols());
-    const Index size = mat.rows();
-
-    if (size <= 1)
-    {
-      transpositions.setIdentity();
-      if(sign)
-        *sign = real(mat.coeff(0,0))>0 ? 1:-1;
-      return true;
-    }
-
-    RealScalar cutoff(0), biggest_in_corner;
-
-    for (Index k = 0; k < size; ++k)
-    {
-      // Find largest diagonal element
-      Index index_of_biggest_in_corner;
-      biggest_in_corner = mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
-      index_of_biggest_in_corner += k;
-
-      if(k == 0)
-      {
-        // The biggest overall is the point of reference to which further diagonals
-        // are compared; if any diagonal is negligible compared
-        // to the largest overall, the algorithm bails.
-        cutoff = abs(NumTraits<Scalar>::epsilon() * biggest_in_corner);
-
-        if(sign)
-          *sign = real(mat.diagonal().coeff(index_of_biggest_in_corner)) > 0 ? 1 : -1;
-      }
-
-      // Finish early if the matrix is not full rank.
-      if(biggest_in_corner < cutoff)
-      {
-        for(Index i = k; i < size; i++) transpositions.coeffRef(i) = i;
-        break;
-      }
-
-      transpositions.coeffRef(k) = index_of_biggest_in_corner;
-      if(k != index_of_biggest_in_corner)
-      {
-        // apply the transposition while taking care to consider only
-        // the lower triangular part
-        Index s = size-index_of_biggest_in_corner-1; // trailing size after the biggest element
-        mat.row(k).head(k).swap(mat.row(index_of_biggest_in_corner).head(k));
-        mat.col(k).tail(s).swap(mat.col(index_of_biggest_in_corner).tail(s));
-        std::swap(mat.coeffRef(k,k),mat.coeffRef(index_of_biggest_in_corner,index_of_biggest_in_corner));
-        for(int i=k+1;i<index_of_biggest_in_corner;++i)
-        {
-          Scalar tmp = mat.coeffRef(i,k);
-          mat.coeffRef(i,k) = conj(mat.coeffRef(index_of_biggest_in_corner,i));
-          mat.coeffRef(index_of_biggest_in_corner,i) = conj(tmp);
-        }
-        if(NumTraits<Scalar>::IsComplex)
-          mat.coeffRef(index_of_biggest_in_corner,k) = conj(mat.coeff(index_of_biggest_in_corner,k));
-      }
-
-      // partition the matrix:
-      //       A00 |  -  |  -
-      // lu  = A10 | A11 |  -
-      //       A20 | A21 | A22
-      Index rs = size - k - 1;
-      Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
-      Block<MatrixType,1,Dynamic> A10(mat,k,0,1,k);
-      Block<MatrixType,Dynamic,Dynamic> A20(mat,k+1,0,rs,k);
-
-      if(k>0)
-      {
-        temp.head(k) = mat.diagonal().head(k).asDiagonal() * A10.adjoint();
-        mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
-        if(rs>0)
-          A21.noalias() -= A20 * temp.head(k);
-      }
-      if((rs>0) && (abs(mat.coeffRef(k,k)) > cutoff))
-        A21 /= mat.coeffRef(k,k);
-    }
-
-    return true;
-  }
-
-  // Reference for the algorithm: Davis and Hager, "Multiple Rank
-  // Modifications of a Sparse Cholesky Factorization" (Algorithm 1)
-  // Trivial rearrangements of their computations (Timothy E. Holy)
-  // allow their algorithm to work for rank-1 updates even if the
-  // original matrix is not of full rank.
-  // Here only rank-1 updates are implemented, to reduce the
-  // requirement for intermediate storage and improve accuracy
-  template<typename MatrixType, typename WDerived>
-  static bool updateInPlace(MatrixType& mat, MatrixBase<WDerived>& w, typename MatrixType::RealScalar sigma=1)
-  {
-    using internal::isfinite;
-    typedef typename MatrixType::Scalar Scalar;
-    typedef typename MatrixType::RealScalar RealScalar;
-    typedef typename MatrixType::Index Index;
-
-    const Index size = mat.rows();
-    eigen_assert(mat.cols() == size && w.size()==size);
-
-    RealScalar alpha = 1;
-
-    // Apply the update
-    for (Index j = 0; j < size; j++)
-    {
-      // Check for termination due to an original decomposition of low-rank
-      if (!isfinite(alpha))
-        break;
-
-      // Update the diagonal terms
-      RealScalar dj = real(mat.coeff(j,j));
-      Scalar wj = w.coeff(j);
-      RealScalar swj2 = sigma*abs2(wj);
-      RealScalar gamma = dj*alpha + swj2;
-
-      mat.coeffRef(j,j) += swj2/alpha;
-      alpha += swj2/dj;
-
-
-      // Update the terms of L
-      Index rs = size-j-1;
-      w.tail(rs) -= wj * mat.col(j).tail(rs);
-      if(gamma != 0)
-        mat.col(j).tail(rs) += (sigma*conj(wj)/gamma)*w.tail(rs);
-    }
-    return true;
-  }
-
-  template<typename MatrixType, typename TranspositionType, typename Workspace, typename WType>
-  static bool update(MatrixType& mat, const TranspositionType& transpositions, Workspace& tmp, const WType& w, typename MatrixType::RealScalar sigma=1)
-  {
-    // Apply the permutation to the input w
-    tmp = transpositions * w;
-
-    return ldlt_inplace<Lower>::updateInPlace(mat,tmp,sigma);
-  }
-};
-
-template<> struct ldlt_inplace<Upper>
-{
-  template<typename MatrixType, typename TranspositionType, typename Workspace>
-  static EIGEN_STRONG_INLINE bool unblocked(MatrixType& mat, TranspositionType& transpositions, Workspace& temp, int* sign=0)
-  {
-    Transpose<MatrixType> matt(mat);
-    return ldlt_inplace<Lower>::unblocked(matt, transpositions, temp, sign);
-  }
-
-  template<typename MatrixType, typename TranspositionType, typename Workspace, typename WType>
-  static EIGEN_STRONG_INLINE bool update(MatrixType& mat, TranspositionType& transpositions, Workspace& tmp, WType& w, typename MatrixType::RealScalar sigma=1)
-  {
-    Transpose<MatrixType> matt(mat);
-    return ldlt_inplace<Lower>::update(matt, transpositions, tmp, w.conjugate(), sigma);
-  }
-};
-
-template<typename MatrixType> struct LDLT_Traits<MatrixType,Lower>
-{
-  typedef const TriangularView<const MatrixType, UnitLower> MatrixL;
-  typedef const TriangularView<const typename MatrixType::AdjointReturnType, UnitUpper> MatrixU;
-  static inline MatrixL getL(const MatrixType& m) { return m; }
-  static inline MatrixU getU(const MatrixType& m) { return m.adjoint(); }
-};
-
-template<typename MatrixType> struct LDLT_Traits<MatrixType,Upper>
-{
-  typedef const TriangularView<const typename MatrixType::AdjointReturnType, UnitLower> MatrixL;
-  typedef const TriangularView<const MatrixType, UnitUpper> MatrixU;
-  static inline MatrixL getL(const MatrixType& m) { return m.adjoint(); }
-  static inline MatrixU getU(const MatrixType& m) { return m; }
-};
-
-} // end namespace internal
-
-/** Compute / recompute the LDLT decomposition A = L D L^* = U^* D U of \a matrix
+/** Compute / recompute the LLT decomposition A = L D L^* = U^* D U of \a matrix
  */
-template<typename MatrixType, int _UpLo>
-LDLT<MatrixType,_UpLo>& LDLT<MatrixType,_UpLo>::compute(const MatrixType& a)
+template<typename MatrixType>
+void LDLT<MatrixType>::compute(const MatrixType& a)
 {
-  eigen_assert(a.rows()==a.cols());
-  const Index size = a.rows();
+  assert(a.rows()==a.cols());
+  const int size = a.rows();
+  m_matrix.resize(size, size);
+  m_isPositiveDefinite = true;
+  const RealScalar eps = ei_sqrt(precision<Scalar>());

-  m_matrix = a;
-
-  m_transpositions.resize(size);
-  m_isInitialized = false;
-  m_temporary.resize(size);
-
-  internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, &m_sign);
-
-  m_isInitialized = true;
-  return *this;
-}
-
-/** Update the LDLT decomposition:  given A = L D L^T, efficiently compute the decomposition of A + sigma w w^T.
- * \param w a vector to be incorporated into the decomposition.
- * \param sigma a scalar, +1 for updates and -1 for "downdates," which correspond to removing previously-added column vectors. Optional; default value is +1.
- * \sa setZero()
-  */
-template<typename MatrixType, int _UpLo>
-template<typename Derived>
-LDLT<MatrixType,_UpLo>& LDLT<MatrixType,_UpLo>::rankUpdate(const MatrixBase<Derived>& w,typename NumTraits<typename MatrixType::Scalar>::Real sigma)
-{
-  const Index size = w.rows();
-  if (m_isInitialized)
+  if (size<=1)
  {
-    eigen_assert(m_matrix.rows()==size);
-  }
-  else
-  {    
-    m_matrix.resize(size,size);
-    m_matrix.setZero();
-    m_transpositions.resize(size);
-    for (Index i = 0; i < size; i++)
-      m_transpositions.coeffRef(i) = i;
-    m_temporary.resize(size);
-    m_sign = sigma>=0 ? 1 : -1;
-    m_isInitialized = true;
+    m_matrix = a;
+    return;
  }

-  internal::ldlt_inplace<UpLo>::update(m_matrix, m_transpositions, m_temporary, w, sigma);
+  // Let's preallocate a temporay vector to evaluate the matrix-vector product into it.
+  // Unlike the standard LLT decomposition, here we cannot evaluate it to the destination
+  // matrix because it a sub-row which is not compatible suitable for efficient packet evaluation.
+  // (at least if we assume the matrix is col-major)
+  Matrix<Scalar,MatrixType::RowsAtCompileTime,1> _temporary(size);

-  return *this;
-}
+  // Note that, in this algorithm the rows of the strict upper part of m_matrix is used to store
+  // column vector, thus the strange .conjugate() and .transpose()...

-namespace internal {
-template<typename _MatrixType, int _UpLo, typename Rhs>
-struct solve_retval<LDLT<_MatrixType,_UpLo>, Rhs>
-  : solve_retval_base<LDLT<_MatrixType,_UpLo>, Rhs>
-{
-  typedef LDLT<_MatrixType,_UpLo> LDLTType;
-  EIGEN_MAKE_SOLVE_HELPERS(LDLTType,Rhs)
-
-  template<typename Dest> void evalTo(Dest& dst) const
+  m_matrix.row(0) = a.row(0).conjugate();
+  m_matrix.col(0).end(size-1) = m_matrix.row(0).end(size-1) / m_matrix.coeff(0,0);
+  for (int j = 1; j < size; ++j)
  {
-    eigen_assert(rhs().rows() == dec().matrixLDLT().rows());
-    // dst = P b
-    dst = dec().transpositionsP() * rhs();
+    RealScalar tmp = ei_real(a.coeff(j,j) - (m_matrix.row(j).start(j) * m_matrix.col(j).start(j).conjugate()).coeff(0,0));
+    m_matrix.coeffRef(j,j) = tmp;

-    // dst = L^-1 (P b)
-    dec().matrixL().solveInPlace(dst);
-
-    // dst = D^-1 (L^-1 P b)
-    // more precisely, use pseudo-inverse of D (see bug 241)
-    using std::abs;
-    using std::max;
-    typedef typename LDLTType::MatrixType MatrixType;
-    typedef typename LDLTType::Scalar Scalar;
-    typedef typename LDLTType::RealScalar RealScalar;
-    const Diagonal<const MatrixType> vectorD = dec().vectorD();
-    RealScalar tolerance = (max)(vectorD.array().abs().maxCoeff() * NumTraits<Scalar>::epsilon(),
-				 RealScalar(1) / NumTraits<RealScalar>::highest()); // motivated by LAPACK's xGELSS
-    for (Index i = 0; i < vectorD.size(); ++i) {
-      if(abs(vectorD(i)) > tolerance)
-	dst.row(i) /= vectorD(i);
-      else
-	dst.row(i).setZero();
+    if (tmp < eps)
+    {
+      m_isPositiveDefinite = false;
+      return;
    }

-    // dst = L^-T (D^-1 L^-1 P b)
-    dec().matrixU().solveInPlace(dst);
+    int endSize = size-j-1;
+    if (endSize>0)
+    {
+      _temporary.end(endSize) = ( m_matrix.block(j+1,0, endSize, j)
+                                  * m_matrix.col(j).start(j).conjugate() ).lazy();

-    // dst = P^-1 (L^-T D^-1 L^-1 P b) = A^-1 b
-    dst = dec().transpositionsP().transpose() * dst;
+      m_matrix.row(j).end(endSize) = a.row(j).end(endSize).conjugate()
+                                   - _temporary.end(endSize).transpose();
+
+      m_matrix.col(j).end(endSize) = m_matrix.row(j).end(endSize) / tmp;
+    }
  }
-};
 }

-/** \internal use x = ldlt_object.solve(x);
+/** Computes the solution x of \f$ A x = b \f$ using the current decomposition of A.
+  * The result is stored in \a result
  *
-  * This is the \em in-place version of solve().
+  * \returns true in case of success, false otherwise.
+  *
+  * In other words, it computes \f$ b = A^{-1} b \f$ with
+  * \f$ {L^{*}}^{-1} D^{-1} L^{-1} b \f$ from right to left.
+  *
+  * \sa LDLT::solveInPlace(), MatrixBase::ldlt()
+  */
+template<typename MatrixType>
+template<typename RhsDerived, typename ResDerived>
+bool LDLT<MatrixType>
+::solve(const MatrixBase<RhsDerived> &b, MatrixBase<ResDerived> *result) const
+{
+  const int size = m_matrix.rows();
+  ei_assert(size==b.rows() && "LLT::solve(): invalid number of rows of the right hand side matrix b");
+  *result = b;
+  return solveInPlace(*result);
+}
+
+/** This is the \em in-place version of solve().
  *
  * \param bAndX represents both the right-hand side matrix b and result x.
  *
-  * \returns true always! If you need to check for existence of solutions, use another decomposition like LU, QR, or SVD.
-  *
  * This version avoids a copy when the right hand side matrix b is not
  * needed anymore.
  *
  * \sa LDLT::solve(), MatrixBase::ldlt()
  */
-template<typename MatrixType,int _UpLo>
+template<typename MatrixType>
 template<typename Derived>
-bool LDLT<MatrixType,_UpLo>::solveInPlace(MatrixBase<Derived> &bAndX) const
+bool LDLT<MatrixType>::solveInPlace(MatrixBase<Derived> &bAndX) const
 {
-  eigen_assert(m_isInitialized && "LDLT is not initialized.");
-  const Index size = m_matrix.rows();
-  eigen_assert(size == bAndX.rows());
-
-  bAndX = this->solve(bAndX);
-
+  const int size = m_matrix.rows();
+  ei_assert(size==bAndX.rows());
+  if (!m_isPositiveDefinite)
+    return false;
+  matrixL().solveTriangularInPlace(bAndX);
+  bAndX = (m_matrix.cwise().inverse().template part<Diagonal>() * bAndX).lazy();
+  m_matrix.adjoint().template part<UnitUpperTriangular>().solveTriangularInPlace(bAndX);
  return true;
 }

-/** \returns the matrix represented by the decomposition,
- * i.e., it returns the product: P^T L D L^* P.
- * This function is provided for debug purpose. */
-template<typename MatrixType, int _UpLo>
-MatrixType LDLT<MatrixType,_UpLo>::reconstructedMatrix() const
-{
-  eigen_assert(m_isInitialized && "LDLT is not initialized.");
-  const Index size = m_matrix.rows();
-  MatrixType res(size,size);
-
-  // P
-  res.setIdentity();
-  res = transpositionsP() * res;
-  // L^* P
-  res = matrixU() * res;
-  // D(L^*P)
-  res = vectorD().asDiagonal() * res;
-  // L(DL^*P)
-  res = matrixL() * res;
-  // P^T (LDL^*P)
-  res = transpositionsP().transpose() * res;
-
-  return res;
-}
-
 /** \cholesky_module
-  * \returns the Cholesky decomposition with full pivoting without square root of \c *this
-  */
-template<typename MatrixType, unsigned int UpLo>
-inline const LDLT<typename SelfAdjointView<MatrixType, UpLo>::PlainObject, UpLo>
-SelfAdjointView<MatrixType, UpLo>::ldlt() const
-{
-  return LDLT<PlainObject,UpLo>(m_matrix);
-}
-
-/** \cholesky_module
-  * \returns the Cholesky decomposition with full pivoting without square root of \c *this
+  * \returns the Cholesky decomposition without square root of \c *this
  */
 template<typename Derived>
-inline const LDLT<typename MatrixBase<Derived>::PlainObject>
+inline const LDLT<typename MatrixBase<Derived>::PlainMatrixType>
 MatrixBase<Derived>::ldlt() const
 {
-  return LDLT<PlainObject>(derived());
+  return derived();
 }

-} // end namespace Eigen
-
 #endif // EIGEN_LDLT_H
--- a/Eigen/src/Cholesky/LLT.h
+++ b/Eigen/src/Cholesky/LLT.h
@@ -1,7 +1,7 @@
 // This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
+// for linear algebra. Eigen itself is part of the KDE project.
 //
-// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
 //
 // Eigen is free software; you can redistribute it and/or
 // modify it under the terms of the GNU Lesser General Public
@@ -25,21 +25,13 @@
 #ifndef EIGEN_LLT_H
 #define EIGEN_LLT_H

-namespace Eigen { 
-
-namespace internal{
-template<typename MatrixType, int UpLo> struct LLT_Traits;
-}
-
-/** \ingroup Cholesky_Module
+/** \ingroup cholesky_Module
  *
  * \class LLT
  *
  * \brief Standard Cholesky decomposition (LL^T) of a matrix and associated features
  *
  * \param MatrixType the type of the matrix of which we are computing the LL^T Cholesky decomposition
-  * \param UpLo the triangular part that will be used for the decompositon: Lower (default) or Upper.
-  *             The other triangular part won't be read.
  *
  * This class performs a LL^T Cholesky decomposition of a symmetric, positive definite
  * matrix A such that A = LL^* = U^*U, where L is lower triangular.
@@ -49,144 +41,44 @@ template<typename MatrixType, int UpLo> struct LLT_Traits;
  * and even faster. Nevertheless, this standard Cholesky decomposition remains useful in many other
  * situations like generalised eigen problems with hermitian matrices.
  *
-  * Remember that Cholesky decompositions are not rank-revealing. This LLT decomposition is only stable on positive definite matrices,
-  * use LDLT instead for the semidefinite case. Also, do not use a Cholesky decomposition to determine whether a system of equations
-  * has a solution.
-  *
-  * Example: \include LLT_example.cpp
-  * Output: \verbinclude LLT_example.out
-  *    
-  * \sa MatrixBase::llt(), class LDLT
-  */
- /* HEY THIS DOX IS DISABLED BECAUSE THERE's A BUG EITHER HERE OR IN LDLT ABOUT THAT (OR BOTH)
  * Note that during the decomposition, only the upper triangular part of A is considered. Therefore,
  * the strict lower part does not have to store correct values.
+  *
+  * \sa MatrixBase::llt(), class LDLT
  */
-template<typename _MatrixType, int _UpLo> class LLT
+template<typename MatrixType> class LLT
 {
-  public:
-    typedef _MatrixType MatrixType;
-    enum {
-      RowsAtCompileTime = MatrixType::RowsAtCompileTime,
-      ColsAtCompileTime = MatrixType::ColsAtCompileTime,
-      Options = MatrixType::Options,
-      MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
-    };
+  private:
    typedef typename MatrixType::Scalar Scalar;
    typedef typename NumTraits<typename MatrixType::Scalar>::Real RealScalar;
-    typedef typename MatrixType::Index Index;
+    typedef Matrix<Scalar, MatrixType::ColsAtCompileTime, 1> VectorType;

    enum {
-      PacketSize = internal::packet_traits<Scalar>::size,
-      AlignmentMask = int(PacketSize)-1,
-      UpLo = _UpLo
+      PacketSize = ei_packet_traits<Scalar>::size,
+      AlignmentMask = int(PacketSize)-1
    };

-    typedef internal::LLT_Traits<MatrixType,UpLo> Traits;
-
-    /**
-      * \brief Default Constructor.
-      *
-      * The default constructor is useful in cases in which the user intends to
-      * perform decompositions via LLT::compute(const MatrixType&).
-      */
-    LLT() : m_matrix(), m_isInitialized(false) {}
-
-    /** \brief Default Constructor with memory preallocation
-      *
-      * Like the default constructor but with preallocation of the internal data
-      * according to the specified problem \a size.
-      * \sa LLT()
-      */
-    LLT(Index size) : m_matrix(size, size),
-                    m_isInitialized(false) {}
+  public:

    LLT(const MatrixType& matrix)
-      : m_matrix(matrix.rows(), matrix.cols()),
-        m_isInitialized(false)
+      : m_matrix(matrix.rows(), matrix.cols())
    {
      compute(matrix);
    }

-    /** \returns a view of the upper triangular matrix U */
-    inline typename Traits::MatrixU matrixU() const
-    {
-      eigen_assert(m_isInitialized && "LLT is not initialized.");
-      return Traits::getU(m_matrix);
-    }
+    /** \returns the lower triangular matrix L */
+    inline Part<MatrixType, LowerTriangular> matrixL(void) const { return m_matrix; }

-    /** \returns a view of the lower triangular matrix L */
-    inline typename Traits::MatrixL matrixL() const
-    {
-      eigen_assert(m_isInitialized && "LLT is not initialized.");
-      return Traits::getL(m_matrix);
-    }
+    /** \returns true if the matrix is positive definite */
+    inline bool isPositiveDefinite(void) const { return m_isPositiveDefinite; }

-    /** \returns the solution x of \f$ A x = b \f$ using the current decomposition of A.
-      *
-      * Since this LLT class assumes anyway that the matrix A is invertible, the solution
-      * theoretically exists and is unique regardless of b.
-      *
-      * Example: \include LLT_solve.cpp
-      * Output: \verbinclude LLT_solve.out
-      *
-      * \sa solveInPlace(), MatrixBase::llt()
-      */
-    template<typename Rhs>
-    inline const internal::solve_retval<LLT, Rhs>
-    solve(const MatrixBase<Rhs>& b) const
-    {
-      eigen_assert(m_isInitialized && "LLT is not initialized.");
-      eigen_assert(m_matrix.rows()==b.rows()
-                && "LLT::solve(): invalid number of rows of the right hand side matrix b");
-      return internal::solve_retval<LLT, Rhs>(*this, b.derived());
-    }
-
-    #ifdef EIGEN2_SUPPORT
-    template<typename OtherDerived, typename ResultType>
-    bool solve(const MatrixBase<OtherDerived>& b, ResultType *result) const
-    {
-      *result = this->solve(b);
-      return true;
-    }
-    
-    bool isPositiveDefinite() const { return true; }
-    #endif
+    template<typename RhsDerived, typename ResDerived>
+    bool solve(const MatrixBase<RhsDerived> &b, MatrixBase<ResDerived> *result) const;

    template<typename Derived>
-    void solveInPlace(MatrixBase<Derived> &bAndX) const;
+    bool solveInPlace(MatrixBase<Derived> &bAndX) const;

-    LLT& compute(const MatrixType& matrix);
-
-    /** \returns the LLT decomposition matrix
-      *
-      * TODO: document the storage layout
-      */
-    inline const MatrixType& matrixLLT() const
-    {
-      eigen_assert(m_isInitialized && "LLT is not initialized.");
-      return m_matrix;
-    }
-
-    MatrixType reconstructedMatrix() const;
-
-
-    /** \brief Reports whether previous computation was successful.
-      *
-      * \returns \c Success if computation was succesful,
-      *          \c NumericalIssue if the matrix.appears to be negative.
-      */
-    ComputationInfo info() const
-    {
-      eigen_assert(m_isInitialized && "LLT is not initialized.");
-      return m_info;
-    }
-
-    inline Index rows() const { return m_matrix.rows(); }
-    inline Index cols() const { return m_matrix.cols(); }
-
-    template<typename VectorType>
-    LLT rankUpdate(const VectorType& vec, const RealScalar& sigma = 1);
+    void compute(const MatrixType& matrix);

  protected:
    /** \internal
@@ -194,310 +86,101 @@ template<typename _MatrixType, int _UpLo> class LLT
      * The strict upper part is not used and even not initialized.
      */
    MatrixType m_matrix;
-    bool m_isInitialized;
-    ComputationInfo m_info;
+    bool m_isPositiveDefinite;
 };

-namespace internal {
-
-template<typename Scalar, int UpLo> struct llt_inplace;
-
-template<typename MatrixType, typename VectorType>
-static typename MatrixType::Index llt_rank_update_lower(MatrixType& mat, const VectorType& vec, const typename MatrixType::RealScalar& sigma)
-{
-  typedef typename MatrixType::Scalar Scalar;
-  typedef typename MatrixType::RealScalar RealScalar;
-  typedef typename MatrixType::Index Index;
-  typedef typename MatrixType::ColXpr ColXpr;
-  typedef typename internal::remove_all<ColXpr>::type ColXprCleaned;
-  typedef typename ColXprCleaned::SegmentReturnType ColXprSegment;
-  typedef Matrix<Scalar,Dynamic,1> TempVectorType;
-  typedef typename TempVectorType::SegmentReturnType TempVecSegment;
-
-  int n = mat.cols();
-  eigen_assert(mat.rows()==n && vec.size()==n);
-
-  TempVectorType temp;
-
-  if(sigma>0)
-  {
-    // This version is based on Givens rotations.
-    // It is faster than the other one below, but only works for updates,
-    // i.e., for sigma > 0
-    temp = sqrt(sigma) * vec;
-
-    for(int i=0; i<n; ++i)
-    {
-      JacobiRotation<Scalar> g;
-      g.makeGivens(mat(i,i), -temp(i), &mat(i,i));
-
-      int rs = n-i-1;
-      if(rs>0)
-      {
-        ColXprSegment x(mat.col(i).tail(rs));
-        TempVecSegment y(temp.tail(rs));
-        apply_rotation_in_the_plane(x, y, g);
-      }
-    }
-  }
-  else
-  {
-    temp = vec;
-    RealScalar beta = 1;
-    for(int j=0; j<n; ++j)
-    {
-      RealScalar Ljj = real(mat.coeff(j,j));
-      RealScalar dj = abs2(Ljj);
-      Scalar wj = temp.coeff(j);
-      RealScalar swj2 = sigma*abs2(wj);
-      RealScalar gamma = dj*beta + swj2;
-
-      RealScalar x = dj + swj2/beta;
-      if (x<=RealScalar(0))
-        return j;
-      RealScalar nLjj = sqrt(x);
-      mat.coeffRef(j,j) = nLjj;
-      beta += swj2/dj;
-
-      // Update the terms of L
-      Index rs = n-j-1;
-      if(rs)
-      {
-        temp.tail(rs) -= (wj/Ljj) * mat.col(j).tail(rs);
-        if(gamma != 0)
-          mat.col(j).tail(rs) = (nLjj/Ljj) * mat.col(j).tail(rs) + (nLjj * sigma*conj(wj)/gamma)*temp.tail(rs);
-      }
-    }
-  }
-  return -1;
-}
-
-template<typename Scalar> struct llt_inplace<Scalar, Lower>
-{
-  typedef typename NumTraits<Scalar>::Real RealScalar;
-  template<typename MatrixType>
-  static typename MatrixType::Index unblocked(MatrixType& mat)
-  {
-    typedef typename MatrixType::Index Index;
-    
-    eigen_assert(mat.rows()==mat.cols());
-    const Index size = mat.rows();
-    for(Index k = 0; k < size; ++k)
-    {
-      Index rs = size-k-1; // remaining size
-
-      Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
-      Block<MatrixType,1,Dynamic> A10(mat,k,0,1,k);
-      Block<MatrixType,Dynamic,Dynamic> A20(mat,k+1,0,rs,k);
-
-      RealScalar x = real(mat.coeff(k,k));
-      if (k>0) x -= A10.squaredNorm();
-      if (x<=RealScalar(0))
-        return k;
-      mat.coeffRef(k,k) = x = sqrt(x);
-      if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
-      if (rs>0) A21 *= RealScalar(1)/x;
-    }
-    return -1;
-  }
-
-  template<typename MatrixType>
-  static typename MatrixType::Index blocked(MatrixType& m)
-  {
-    typedef typename MatrixType::Index Index;
-    eigen_assert(m.rows()==m.cols());
-    Index size = m.rows();
-    if(size<32)
-      return unblocked(m);
-
-    Index blockSize = size/8;
-    blockSize = (blockSize/16)*16;
-    blockSize = (std::min)((std::max)(blockSize,Index(8)), Index(128));
-
-    for (Index k=0; k<size; k+=blockSize)
-    {
-      // partition the matrix:
-      //       A00 |  -  |  -
-      // lu  = A10 | A11 |  -
-      //       A20 | A21 | A22
-      Index bs = (std::min)(blockSize, size-k);
-      Index rs = size - k - bs;
-      Block<MatrixType,Dynamic,Dynamic> A11(m,k,   k,   bs,bs);
-      Block<MatrixType,Dynamic,Dynamic> A21(m,k+bs,k,   rs,bs);
-      Block<MatrixType,Dynamic,Dynamic> A22(m,k+bs,k+bs,rs,rs);
-
-      Index ret;
-      if((ret=unblocked(A11))>=0) return k+ret;
-      if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
-      if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,-1); // bottleneck
-    }
-    return -1;
-  }
-
-  template<typename MatrixType, typename VectorType>
-  static typename MatrixType::Index rankUpdate(MatrixType& mat, const VectorType& vec, const RealScalar& sigma)
-  {
-    return Eigen::internal::llt_rank_update_lower(mat, vec, sigma);
-  }
-};
-  
-template<typename Scalar> struct llt_inplace<Scalar, Upper>
-{
-  typedef typename NumTraits<Scalar>::Real RealScalar;
-
-  template<typename MatrixType>
-  static EIGEN_STRONG_INLINE typename MatrixType::Index unblocked(MatrixType& mat)
-  {
-    Transpose<MatrixType> matt(mat);
-    return llt_inplace<Scalar, Lower>::unblocked(matt);
-  }
-  template<typename MatrixType>
-  static EIGEN_STRONG_INLINE typename MatrixType::Index blocked(MatrixType& mat)
-  {
-    Transpose<MatrixType> matt(mat);
-    return llt_inplace<Scalar, Lower>::blocked(matt);
-  }
-  template<typename MatrixType, typename VectorType>
-  static typename MatrixType::Index rankUpdate(MatrixType& mat, const VectorType& vec, const RealScalar& sigma)
-  {
-    Transpose<MatrixType> matt(mat);
-    return llt_inplace<Scalar, Lower>::rankUpdate(matt, vec.conjugate(), sigma);
-  }
-};
-
-template<typename MatrixType> struct LLT_Traits<MatrixType,Lower>
-{
-  typedef const TriangularView<const MatrixType, Lower> MatrixL;
-  typedef const TriangularView<const typename MatrixType::AdjointReturnType, Upper> MatrixU;
-  static inline MatrixL getL(const MatrixType& m) { return m; }
-  static inline MatrixU getU(const MatrixType& m) { return m.adjoint(); }
-  static bool inplace_decomposition(MatrixType& m)
-  { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
-};
-
-template<typename MatrixType> struct LLT_Traits<MatrixType,Upper>
-{
-  typedef const TriangularView<const typename MatrixType::AdjointReturnType, Lower> MatrixL;
-  typedef const TriangularView<const MatrixType, Upper> MatrixU;
-  static inline MatrixL getL(const MatrixType& m) { return m.adjoint(); }
-  static inline MatrixU getU(const MatrixType& m) { return m; }
-  static bool inplace_decomposition(MatrixType& m)
-  { return llt_inplace<typename MatrixType::Scalar, Upper>::blocked(m)==-1; }
-};
-
-} // end namespace internal
-
 /** Computes / recomputes the Cholesky decomposition A = LL^* = U^*U of \a matrix
-  *
-  * \returns a reference to *this
-  *
-  * Example: \include TutorialLinAlgComputeTwice.cpp
-  * Output: \verbinclude TutorialLinAlgComputeTwice.out
  */
-template<typename MatrixType, int _UpLo>
-LLT<MatrixType,_UpLo>& LLT<MatrixType,_UpLo>::compute(const MatrixType& a)
+template<typename MatrixType>
+void LLT<MatrixType>::compute(const MatrixType& a)
 {
-  eigen_assert(a.rows()==a.cols());
-  const Index size = a.rows();
+  assert(a.rows()==a.cols());
+  const int size = a.rows();
  m_matrix.resize(size, size);
-  m_matrix = a;
+  const RealScalar eps = ei_sqrt(precision<Scalar>());

-  m_isInitialized = true;
-  bool ok = Traits::inplace_decomposition(m_matrix);
-  m_info = ok ? Success : NumericalIssue;
-
-  return *this;
-}
-
-/** Performs a rank one update (or dowdate) of the current decomposition.
-  * If A = LL^* before the rank one update,
-  * then after it we have LL^* = A + sigma * v v^* where \a v must be a vector
-  * of same dimension.
-  */
-template<typename _MatrixType, int _UpLo>
-template<typename VectorType>
-LLT<_MatrixType,_UpLo> LLT<_MatrixType,_UpLo>::rankUpdate(const VectorType& v, const RealScalar& sigma)
-{
-  EIGEN_STATIC_ASSERT_VECTOR_ONLY(VectorType);
-  eigen_assert(v.size()==m_matrix.cols());
-  eigen_assert(m_isInitialized);
-  if(internal::llt_inplace<typename MatrixType::Scalar, UpLo>::rankUpdate(m_matrix,v,sigma)>=0)
-    m_info = NumericalIssue;
-  else
-    m_info = Success;
-
-  return *this;
-}
-    
-namespace internal {
-template<typename _MatrixType, int UpLo, typename Rhs>
-struct solve_retval<LLT<_MatrixType, UpLo>, Rhs>
-  : solve_retval_base<LLT<_MatrixType, UpLo>, Rhs>
-{
-  typedef LLT<_MatrixType,UpLo> LLTType;
-  EIGEN_MAKE_SOLVE_HELPERS(LLTType,Rhs)
-
-  template<typename Dest> void evalTo(Dest& dst) const
+  RealScalar x;
+  x = ei_real(a.coeff(0,0));
+  m_isPositiveDefinite = x > eps && ei_isMuchSmallerThan(ei_imag(a.coeff(0,0)), RealScalar(1));
+  m_matrix.coeffRef(0,0) = ei_sqrt(x);
+  m_matrix.col(0).end(size-1) = a.row(0).end(size-1).adjoint() / ei_real(m_matrix.coeff(0,0));
+  for (int j = 1; j < size; ++j)
  {
-    dst = rhs();
-    dec().solveInPlace(dst);
+    Scalar tmp = ei_real(a.coeff(j,j)) - m_matrix.row(j).start(j).squaredNorm();
+    x = ei_real(tmp);
+    if (x < eps || (!ei_isMuchSmallerThan(ei_imag(tmp), RealScalar(1))))
+    {
+      m_isPositiveDefinite = false;
+      return;
+    }
+    m_matrix.coeffRef(j,j) = x = ei_sqrt(x);
+
+    int endSize = size-j-1;
+    if (endSize>0) {
+      // Note that when all matrix columns have good alignment, then the following
+      // product is guaranteed to be optimal with respect to alignment.
+      m_matrix.col(j).end(endSize) =
+        (m_matrix.block(j+1, 0, endSize, j) * m_matrix.row(j).start(j).adjoint()).lazy();
+
+      // FIXME could use a.col instead of a.row
+      m_matrix.col(j).end(endSize) = (a.row(j).end(endSize).adjoint()
+        - m_matrix.col(j).end(endSize) ) / x;
+    }
  }
-};
 }

-/** \internal use x = llt_object.solve(x);
-  * 
-  * This is the \em in-place version of solve().
+/** Computes the solution x of \f$ A x = b \f$ using the current decomposition of A.
+  * The result is stored in \a result
+  *
+  * \returns true in case of success, false otherwise.
+  *
+  * In other words, it computes \f$ b = A^{-1} b \f$ with
+  * \f$ {L^{*}}^{-1} L^{-1} b \f$ from right to left.
+  *
+  * Example: \include LLT_solve.cpp
+  * Output: \verbinclude LLT_solve.out
+  *
+  * \sa LLT::solveInPlace(), MatrixBase::llt()
+  */
+template<typename MatrixType>
+template<typename RhsDerived, typename ResDerived>
+bool LLT<MatrixType>::solve(const MatrixBase<RhsDerived> &b, MatrixBase<ResDerived> *result) const
+{
+  const int size = m_matrix.rows();
+  ei_assert(size==b.rows() && "LLT::solve(): invalid number of rows of the right hand side matrix b");
+  return solveInPlace((*result) = b);
+}
+
+/** This is the \em in-place version of solve().
  *
  * \param bAndX represents both the right-hand side matrix b and result x.
  *
-  * \returns true always! If you need to check for existence of solutions, use another decomposition like LU, QR, or SVD.
-  *
  * This version avoids a copy when the right hand side matrix b is not
  * needed anymore.
  *
  * \sa LLT::solve(), MatrixBase::llt()
  */
-template<typename MatrixType, int _UpLo>
+template<typename MatrixType>
 template<typename Derived>
-void LLT<MatrixType,_UpLo>::solveInPlace(MatrixBase<Derived> &bAndX) const
+bool LLT<MatrixType>::solveInPlace(MatrixBase<Derived> &bAndX) const
 {
-  eigen_assert(m_isInitialized && "LLT is not initialized.");
-  eigen_assert(m_matrix.rows()==bAndX.rows());
-  matrixL().solveInPlace(bAndX);
-  matrixU().solveInPlace(bAndX);
-}
-
-/** \returns the matrix represented by the decomposition,
- * i.e., it returns the product: L L^*.
- * This function is provided for debug purpose. */
-template<typename MatrixType, int _UpLo>
-MatrixType LLT<MatrixType,_UpLo>::reconstructedMatrix() const
-{
-  eigen_assert(m_isInitialized && "LLT is not initialized.");
-  return matrixL() * matrixL().adjoint().toDenseMatrix();
+  const int size = m_matrix.rows();
+  ei_assert(size==bAndX.rows());
+  if (!m_isPositiveDefinite)
+    return false;
+  matrixL().solveTriangularInPlace(bAndX);
+  m_matrix.adjoint().template part<UpperTriangular>().solveTriangularInPlace(bAndX);
+  return true;
 }

 /** \cholesky_module
  * \returns the LLT decomposition of \c *this
  */
 template<typename Derived>
-inline const LLT<typename MatrixBase<Derived>::PlainObject>
+inline const LLT<typename MatrixBase<Derived>::PlainMatrixType>
 MatrixBase<Derived>::llt() const
 {
-  return LLT<PlainObject>(derived());
+  return LLT<PlainMatrixType>(derived());
 }

-/** \cholesky_module
-  * \returns the LLT decomposition of \c *this
-  */
-template<typename MatrixType, unsigned int UpLo>
-inline const LLT<typename SelfAdjointView<MatrixType, UpLo>::PlainObject, UpLo>
-SelfAdjointView<MatrixType, UpLo>::llt() const
-{
-  return LLT<PlainObject,UpLo>(m_matrix);
-}
-
-} // end namespace Eigen
-
 #endif // EIGEN_LLT_H
--- a/Eigen/src/Cholesky/LLT_MKL.h
+++ b/Eigen/src/Cholesky/LLT_MKL.h
@@ -1,102 +0,0 @@
-/*
- Copyright (c) 2011, Intel Corporation. All rights reserved.
-
- Redistribution and use in source and binary forms, with or without modification,
- are permitted provided that the following conditions are met:
-
- * Redistributions of source code must retain the above copyright notice, this
-   list of conditions and the following disclaimer.
- * Redistributions in binary form must reproduce the above copyright notice,
-   this list of conditions and the following disclaimer in the documentation
-   and/or other materials provided with the distribution.
- * Neither the name of Intel Corporation nor the names of its contributors may
-   be used to endorse or promote products derived from this software without
-   specific prior written permission.
-
- THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
- ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
- WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
- DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
- ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
- (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
- LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
- ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
- (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
- SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
-
- ********************************************************************************
- *   Content : Eigen bindings to Intel(R) MKL
- *     LLt decomposition based on LAPACKE_?potrf function.
- ********************************************************************************
-*/
-
-#ifndef EIGEN_LLT_MKL_H
-#define EIGEN_LLT_MKL_H
-
-#include "Eigen/src/Core/util/MKL_support.h"
-#include <iostream>
-
-namespace Eigen { 
-
-namespace internal {
-
-template<typename Scalar> struct mkl_llt;
-
-#define EIGEN_MKL_LLT(EIGTYPE, MKLTYPE, MKLPREFIX) \
-template<> struct mkl_llt<EIGTYPE> \
-{ \
-  template<typename MatrixType> \
-  static inline typename MatrixType::Index potrf(MatrixType& m, char uplo) \
-  { \
-    lapack_int matrix_order; \
-    lapack_int size, lda, info, StorageOrder; \
-    EIGTYPE* a; \
-    eigen_assert(m.rows()==m.cols()); \
-    /* Set up parameters for ?potrf */ \
-    size = m.rows(); \
-    StorageOrder = MatrixType::Flags&RowMajorBit?RowMajor:ColMajor; \
-    matrix_order = StorageOrder==RowMajor ? LAPACK_ROW_MAJOR : LAPACK_COL_MAJOR; \
-    a = &(m.coeffRef(0,0)); \
-    lda = m.outerStride(); \
-\
-    info = LAPACKE_##MKLPREFIX##potrf( matrix_order, uplo, size, (MKLTYPE*)a, lda ); \
-    info = (info==0) ? Success : NumericalIssue; \
-    return info; \
-  } \
-}; \
-template<> struct llt_inplace<EIGTYPE, Lower> \
-{ \
-  template<typename MatrixType> \
-  static typename MatrixType::Index blocked(MatrixType& m) \
-  { \
-    return mkl_llt<EIGTYPE>::potrf(m, 'L'); \
-  } \
-  template<typename MatrixType, typename VectorType> \
-  static typename MatrixType::Index rankUpdate(MatrixType& mat, const VectorType& vec, const typename MatrixType::RealScalar& sigma) \
-  { return Eigen::internal::llt_rank_update_lower(mat, vec, sigma); } \
-}; \
-template<> struct llt_inplace<EIGTYPE, Upper> \
-{ \
-  template<typename MatrixType> \
-  static typename MatrixType::Index blocked(MatrixType& m) \
-  { \
-    return mkl_llt<EIGTYPE>::potrf(m, 'U'); \
-  } \
-  template<typename MatrixType, typename VectorType> \
-  static typename MatrixType::Index rankUpdate(MatrixType& mat, const VectorType& vec, const typename MatrixType::RealScalar& sigma) \
-  { \
-    Transpose<MatrixType> matt(mat); \
-    return llt_inplace<EIGTYPE, Lower>::rankUpdate(matt, vec.conjugate(), sigma); \
-  } \
-};
-
-EIGEN_MKL_LLT(double, double, d)
-EIGEN_MKL_LLT(float, float, s)
-EIGEN_MKL_LLT(dcomplex, MKL_Complex16, z)
-EIGEN_MKL_LLT(scomplex, MKL_Complex8, c)
-
-} // end namespace internal
-
-} // end namespace Eigen
-
-#endif // EIGEN_LLT_MKL_H
--- a/Eigen/src/CholmodSupport/CMakeLists.txt
+++ b/Eigen/src/CholmodSupport/CMakeLists.txt
@@ -1,6 +0,0 @@
-FILE(GLOB Eigen_CholmodSupport_SRCS "*.h")
-
-INSTALL(FILES 
-  ${Eigen_CholmodSupport_SRCS}
-  DESTINATION ${INCLUDE_INSTALL_DIR}/Eigen/src/CholmodSupport COMPONENT Devel
-  )
--- a/Eigen/src/CholmodSupport/CholmodSupport.h
+++ b/Eigen/src/CholmodSupport/CholmodSupport.h
@@ -1,594 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
-//
-// Eigen is free software; you can redistribute it and/or
-// modify it under the terms of the GNU Lesser General Public
-// License as published by the Free Software Foundation; either
-// version 3 of the License, or (at your option) any later version.
-//
-// Alternatively, you can redistribute it and/or
-// modify it under the terms of the GNU General Public License as
-// published by the Free Software Foundation; either version 2 of
-// the License, or (at your option) any later version.
-//
-// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
-// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
-// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU Lesser General Public
-// License and a copy of the GNU General Public License along with
-// Eigen. If not, see <http://www.gnu.org/licenses/>.
-
-#ifndef EIGEN_CHOLMODSUPPORT_H
-#define EIGEN_CHOLMODSUPPORT_H
-
-namespace Eigen { 
-
-namespace internal {
-
-template<typename Scalar, typename CholmodType>
-void cholmod_configure_matrix(CholmodType& mat)
-{
-  if (internal::is_same<Scalar,float>::value)
-  {
-    mat.xtype = CHOLMOD_REAL;
-    mat.dtype = CHOLMOD_SINGLE;
-  }
-  else if (internal::is_same<Scalar,double>::value)
-  {
-    mat.xtype = CHOLMOD_REAL;
-    mat.dtype = CHOLMOD_DOUBLE;
-  }
-  else if (internal::is_same<Scalar,std::complex<float> >::value)
-  {
-    mat.xtype = CHOLMOD_COMPLEX;
-    mat.dtype = CHOLMOD_SINGLE;
-  }
-  else if (internal::is_same<Scalar,std::complex<double> >::value)
-  {
-    mat.xtype = CHOLMOD_COMPLEX;
-    mat.dtype = CHOLMOD_DOUBLE;
-  }
-  else
-  {
-    eigen_assert(false && "Scalar type not supported by CHOLMOD");
-  }
-}
-
-} // namespace internal
-
-/** Wraps the Eigen sparse matrix \a mat into a Cholmod sparse matrix object.
-  * Note that the data are shared.
-  */
-template<typename _Scalar, int _Options, typename _Index>
-cholmod_sparse viewAsCholmod(SparseMatrix<_Scalar,_Options,_Index>& mat)
-{
-  typedef SparseMatrix<_Scalar,_Options,_Index> MatrixType;
-  cholmod_sparse res;
-  res.nzmax   = mat.nonZeros();
-  res.nrow    = mat.rows();;
-  res.ncol    = mat.cols();
-  res.p       = mat.outerIndexPtr();
-  res.i       = mat.innerIndexPtr();
-  res.x       = mat.valuePtr();
-  res.sorted  = 1;
-  if(mat.isCompressed())
-  {
-    res.packed  = 1;
-  }
-  else
-  {
-    res.packed  = 0;
-    res.nz = mat.innerNonZeroPtr();
-  }
-
-  res.dtype   = 0;
-  res.stype   = -1;
-  
-  if (internal::is_same<_Index,int>::value)
-  {
-    res.itype = CHOLMOD_INT;
-  }
-  else
-  {
-    eigen_assert(false && "Index type different than int is not supported yet");
-  }
-
-  // setup res.xtype
-  internal::cholmod_configure_matrix<_Scalar>(res);
-  
-  res.stype = 0;
-  
-  return res;
-}
-
-template<typename _Scalar, int _Options, typename _Index>
-const cholmod_sparse viewAsCholmod(const SparseMatrix<_Scalar,_Options,_Index>& mat)
-{
-  cholmod_sparse res = viewAsCholmod(mat.const_cast_derived());
-  return res;
-}
-
-/** Returns a view of the Eigen sparse matrix \a mat as Cholmod sparse matrix.
-  * The data are not copied but shared. */
-template<typename _Scalar, int _Options, typename _Index, unsigned int UpLo>
-cholmod_sparse viewAsCholmod(const SparseSelfAdjointView<SparseMatrix<_Scalar,_Options,_Index>, UpLo>& mat)
-{
-  cholmod_sparse res = viewAsCholmod(mat.matrix().const_cast_derived());
-  
-  if(UpLo==Upper) res.stype =  1;
-  if(UpLo==Lower) res.stype = -1;
-
-  return res;
-}
-
-/** Returns a view of the Eigen \b dense matrix \a mat as Cholmod dense matrix.
-  * The data are not copied but shared. */
-template<typename Derived>
-cholmod_dense viewAsCholmod(MatrixBase<Derived>& mat)
-{
-  EIGEN_STATIC_ASSERT((internal::traits<Derived>::Flags&RowMajorBit)==0,THIS_METHOD_IS_ONLY_FOR_COLUMN_MAJOR_MATRICES);
-  typedef typename Derived::Scalar Scalar;
-
-  cholmod_dense res;
-  res.nrow   = mat.rows();
-  res.ncol   = mat.cols();
-  res.nzmax  = res.nrow * res.ncol;
-  res.d      = Derived::IsVectorAtCompileTime ? mat.derived().size() : mat.derived().outerStride();
-  res.x      = mat.derived().data();
-  res.z      = 0;
-
-  internal::cholmod_configure_matrix<Scalar>(res);
-
-  return res;
-}
-
-/** Returns a view of the Cholmod sparse matrix \a cm as an Eigen sparse matrix.
-  * The data are not copied but shared. */
-template<typename Scalar, int Flags, typename Index>
-MappedSparseMatrix<Scalar,Flags,Index> viewAsEigen(cholmod_sparse& cm)
-{
-  return MappedSparseMatrix<Scalar,Flags,Index>
-         (cm.nrow, cm.ncol, reinterpret_cast<Index*>(cm.p)[cm.ncol],
-          reinterpret_cast<Index*>(cm.p), reinterpret_cast<Index*>(cm.i),reinterpret_cast<Scalar*>(cm.x) );
-}
-
-enum CholmodMode {
-  CholmodAuto, CholmodSimplicialLLt, CholmodSupernodalLLt, CholmodLDLt
-};
-
-
-/** \ingroup CholmodSupport_Module
-  * \class CholmodBase
-  * \brief The base class for the direct Cholesky factorization of Cholmod
-  * \sa class CholmodSupernodalLLT, class CholmodSimplicialLDLT, class CholmodSimplicialLLT
-  */
-template<typename _MatrixType, int _UpLo, typename Derived>
-class CholmodBase : internal::noncopyable
-{
-  public:
-    typedef _MatrixType MatrixType;
-    enum { UpLo = _UpLo };
-    typedef typename MatrixType::Scalar Scalar;
-    typedef typename MatrixType::RealScalar RealScalar;
-    typedef MatrixType CholMatrixType;
-    typedef typename MatrixType::Index Index;
-
-  public:
-
-    CholmodBase()
-      : m_cholmodFactor(0), m_info(Success), m_isInitialized(false)
-    {
-      cholmod_start(&m_cholmod);
-    }
-
-    CholmodBase(const MatrixType& matrix)
-      : m_cholmodFactor(0), m_info(Success), m_isInitialized(false)
-    {
-      cholmod_start(&m_cholmod);
-      compute(matrix);
-    }
-
-    ~CholmodBase()
-    {
-      if(m_cholmodFactor)
-        cholmod_free_factor(&m_cholmodFactor, &m_cholmod);
-      cholmod_finish(&m_cholmod);
-    }
-    
-    inline Index cols() const { return m_cholmodFactor->n; }
-    inline Index rows() const { return m_cholmodFactor->n; }
-    
-    Derived& derived() { return *static_cast<Derived*>(this); }
-    const Derived& derived() const { return *static_cast<const Derived*>(this); }
-    
-    /** \brief Reports whether previous computation was successful.
-      *
-      * \returns \c Success if computation was succesful,
-      *          \c NumericalIssue if the matrix.appears to be negative.
-      */
-    ComputationInfo info() const
-    {
-      eigen_assert(m_isInitialized && "Decomposition is not initialized.");
-      return m_info;
-    }
-
-    /** Computes the sparse Cholesky decomposition of \a matrix */
-    Derived& compute(const MatrixType& matrix)
-    {
-      analyzePattern(matrix);
-      factorize(matrix);
-      return derived();
-    }
-    
-    /** \returns the solution x of \f$ A x = b \f$ using the current decomposition of A.
-      *
-      * \sa compute()
-      */
-    template<typename Rhs>
-    inline const internal::solve_retval<CholmodBase, Rhs>
-    solve(const MatrixBase<Rhs>& b) const
-    {
-      eigen_assert(m_isInitialized && "LLT is not initialized.");
-      eigen_assert(rows()==b.rows()
-                && "CholmodDecomposition::solve(): invalid number of rows of the right hand side matrix b");
-      return internal::solve_retval<CholmodBase, Rhs>(*this, b.derived());
-    }
-    
-    /** \returns the solution x of \f$ A x = b \f$ using the current decomposition of A.
-      *
-      * \sa compute()
-      */
-    template<typename Rhs>
-    inline const internal::sparse_solve_retval<CholmodBase, Rhs>
-    solve(const SparseMatrixBase<Rhs>& b) const
-    {
-      eigen_assert(m_isInitialized && "LLT is not initialized.");
-      eigen_assert(rows()==b.rows()
-                && "CholmodDecomposition::solve(): invalid number of rows of the right hand side matrix b");
-      return internal::sparse_solve_retval<CholmodBase, Rhs>(*this, b.derived());
-    }
-    
-    /** Performs a symbolic decomposition on the sparcity of \a matrix.
-      *
-      * This function is particularly useful when solving for several problems having the same structure.
-      * 
-      * \sa factorize()
-      */
-    void analyzePattern(const MatrixType& matrix)
-    {
-      if(m_cholmodFactor)
-      {
-        cholmod_free_factor(&m_cholmodFactor, &m_cholmod);
-        m_cholmodFactor = 0;
-      }
-      cholmod_sparse A = viewAsCholmod(matrix.template selfadjointView<UpLo>());
-      m_cholmodFactor = cholmod_analyze(&A, &m_cholmod);
-      
-      this->m_isInitialized = true;
-      this->m_info = Success;
-      m_analysisIsOk = true;
-      m_factorizationIsOk = false;
-    }
-    
-    /** Performs a numeric decomposition of \a matrix
-      *
-      * The given matrix must has the same sparcity than the matrix on which the symbolic decomposition has been performed.
-      *
-      * \sa analyzePattern()
-      */
-    void factorize(const MatrixType& matrix)
-    {
-      eigen_assert(m_analysisIsOk && "You must first call analyzePattern()");
-      cholmod_sparse A = viewAsCholmod(matrix.template selfadjointView<UpLo>());
-      cholmod_factorize(&A, m_cholmodFactor, &m_cholmod);
-      
-      this->m_info = Success;
-      m_factorizationIsOk = true;
-    }
-    
-    /** Returns a reference to the Cholmod's configuration structure to get a full control over the performed operations.
-     *  See the Cholmod user guide for details. */
-    cholmod_common& cholmod() { return m_cholmod; }
-    
-    #ifndef EIGEN_PARSED_BY_DOXYGEN
-    /** \internal */
-    template<typename Rhs,typename Dest>
-    void _solve(const MatrixBase<Rhs> &b, MatrixBase<Dest> &dest) const
-    {
-      eigen_assert(m_factorizationIsOk && "The decomposition is not in a valid state for solving, you must first call either compute() or symbolic()/numeric()");
-      const Index size = m_cholmodFactor->n;
-      eigen_assert(size==b.rows());
-
-      // note: cd stands for Cholmod Dense
-      cholmod_dense b_cd = viewAsCholmod(b.const_cast_derived());
-      cholmod_dense* x_cd = cholmod_solve(CHOLMOD_A, m_cholmodFactor, &b_cd, &m_cholmod);
-      if(!x_cd)
-      {
-        this->m_info = NumericalIssue;
-      }
-      // TODO optimize this copy by swapping when possible (be carreful with alignment, etc.)
-      dest = Matrix<Scalar,Dest::RowsAtCompileTime,Dest::ColsAtCompileTime>::Map(reinterpret_cast<Scalar*>(x_cd->x),b.rows(),b.cols());
-      cholmod_free_dense(&x_cd, &m_cholmod);
-    }
-    
-    /** \internal */
-    template<typename RhsScalar, int RhsOptions, typename RhsIndex, typename DestScalar, int DestOptions, typename DestIndex>
-    void _solve(const SparseMatrix<RhsScalar,RhsOptions,RhsIndex> &b, SparseMatrix<DestScalar,DestOptions,DestIndex> &dest) const
-    {
-      eigen_assert(m_factorizationIsOk && "The decomposition is not in a valid state for solving, you must first call either compute() or symbolic()/numeric()");
-      const Index size = m_cholmodFactor->n;
-      eigen_assert(size==b.rows());
-
-      // note: cs stands for Cholmod Sparse
-      cholmod_sparse b_cs = viewAsCholmod(b);
-      cholmod_sparse* x_cs = cholmod_spsolve(CHOLMOD_A, m_cholmodFactor, &b_cs, &m_cholmod);
-      if(!x_cs)
-      {
-        this->m_info = NumericalIssue;
-      }
-      // TODO optimize this copy by swapping when possible (be carreful with alignment, etc.)
-      dest = viewAsEigen<DestScalar,DestOptions,DestIndex>(*x_cs);
-      cholmod_free_sparse(&x_cs, &m_cholmod);
-    }
-    #endif // EIGEN_PARSED_BY_DOXYGEN
-    
-    template<typename Stream>
-    void dumpMemory(Stream& s)
-    {}
-    
-  protected:
-    mutable cholmod_common m_cholmod;
-    cholmod_factor* m_cholmodFactor;
-    mutable ComputationInfo m_info;
-    bool m_isInitialized;
-    int m_factorizationIsOk;
-    int m_analysisIsOk;
-};
-
-/** \ingroup CholmodSupport_Module
-  * \class CholmodSimplicialLLT
-  * \brief A simplicial direct Cholesky (LLT) factorization and solver based on Cholmod
-  *
-  * This class allows to solve for A.X = B sparse linear problems via a simplicial LL^T Cholesky factorization
-  * using the Cholmod library.
-  * This simplicial variant is equivalent to Eigen's built-in SimplicialLLT class. Thefore, it has little practical interest.
-  * The sparse matrix A must be selfajoint and positive definite. The vectors or matrices
-  * X and B can be either dense or sparse.
-  *
-  * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
-  * \tparam _UpLo the triangular part that will be used for the computations. It can be Lower
-  *               or Upper. Default is Lower.
-  *
-  * This class supports all kind of SparseMatrix<>: row or column major; upper, lower, or both; compressed or non compressed.
-  *
-  * \sa \ref TutorialSparseDirectSolvers, class CholmodSupernodalLLT, class SimplicialLLT
-  */
-template<typename _MatrixType, int _UpLo = Lower>
-class CholmodSimplicialLLT : public CholmodBase<_MatrixType, _UpLo, CholmodSimplicialLLT<_MatrixType, _UpLo> >
-{
-    typedef CholmodBase<_MatrixType, _UpLo, CholmodSimplicialLLT> Base;
-    using Base::m_cholmod;
-    
-  public:
-    
-    typedef _MatrixType MatrixType;
-    
-    CholmodSimplicialLLT() : Base() { init(); }
-
-    CholmodSimplicialLLT(const MatrixType& matrix) : Base()
-    {
-      init();
-      compute(matrix);
-    }
-
-    ~CholmodSimplicialLLT() {}
-  protected:
-    void init()
-    {
-      m_cholmod.final_asis = 0;
-      m_cholmod.supernodal = CHOLMOD_SIMPLICIAL;
-      m_cholmod.final_ll = 1;
-    }
-};
-
-
-/** \ingroup CholmodSupport_Module
-  * \class CholmodSimplicialLDLT
-  * \brief A simplicial direct Cholesky (LDLT) factorization and solver based on Cholmod
-  *
-  * This class allows to solve for A.X = B sparse linear problems via a simplicial LDL^T Cholesky factorization
-  * using the Cholmod library.
-  * This simplicial variant is equivalent to Eigen's built-in SimplicialLDLT class. Thefore, it has little practical interest.
-  * The sparse matrix A must be selfajoint and positive definite. The vectors or matrices
-  * X and B can be either dense or sparse.
-  *
-  * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
-  * \tparam _UpLo the triangular part that will be used for the computations. It can be Lower
-  *               or Upper. Default is Lower.
-  *
-  * This class supports all kind of SparseMatrix<>: row or column major; upper, lower, or both; compressed or non compressed.
-  *
-  * \sa \ref TutorialSparseDirectSolvers, class CholmodSupernodalLLT, class SimplicialLDLT
-  */
-template<typename _MatrixType, int _UpLo = Lower>
-class CholmodSimplicialLDLT : public CholmodBase<_MatrixType, _UpLo, CholmodSimplicialLDLT<_MatrixType, _UpLo> >
-{
-    typedef CholmodBase<_MatrixType, _UpLo, CholmodSimplicialLDLT> Base;
-    using Base::m_cholmod;
-    
-  public:
-    
-    typedef _MatrixType MatrixType;
-    
-    CholmodSimplicialLDLT() : Base() { init(); }
-
-    CholmodSimplicialLDLT(const MatrixType& matrix) : Base()
-    {
-      init();
-      compute(matrix);
-    }
-
-    ~CholmodSimplicialLDLT() {}
-  protected:
-    void init()
-    {
-      m_cholmod.final_asis = 1;
-      m_cholmod.supernodal = CHOLMOD_SIMPLICIAL;
-    }
-};
-
-/** \ingroup CholmodSupport_Module
-  * \class CholmodSupernodalLLT
-  * \brief A supernodal Cholesky (LLT) factorization and solver based on Cholmod
-  *
-  * This class allows to solve for A.X = B sparse linear problems via a supernodal LL^T Cholesky factorization
-  * using the Cholmod library.
-  * This supernodal variant performs best on dense enough problems, e.g., 3D FEM, or very high order 2D FEM.
-  * The sparse matrix A must be selfajoint and positive definite. The vectors or matrices
-  * X and B can be either dense or sparse.
-  *
-  * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
-  * \tparam _UpLo the triangular part that will be used for the computations. It can be Lower
-  *               or Upper. Default is Lower.
-  *
-  * This class supports all kind of SparseMatrix<>: row or column major; upper, lower, or both; compressed or non compressed.
-  *
-  * \sa \ref TutorialSparseDirectSolvers
-  */
-template<typename _MatrixType, int _UpLo = Lower>
-class CholmodSupernodalLLT : public CholmodBase<_MatrixType, _UpLo, CholmodSupernodalLLT<_MatrixType, _UpLo> >
-{
-    typedef CholmodBase<_MatrixType, _UpLo, CholmodSupernodalLLT> Base;
-    using Base::m_cholmod;
-    
-  public:
-    
-    typedef _MatrixType MatrixType;
-    
-    CholmodSupernodalLLT() : Base() { init(); }
-
-    CholmodSupernodalLLT(const MatrixType& matrix) : Base()
-    {
-      init();
-      compute(matrix);
-    }
-
-    ~CholmodSupernodalLLT() {}
-  protected:
-    void init()
-    {
-      m_cholmod.final_asis = 1;
-      m_cholmod.supernodal = CHOLMOD_SUPERNODAL;
-    }
-};
-
-/** \ingroup CholmodSupport_Module
-  * \class CholmodDecomposition
-  * \brief A general Cholesky factorization and solver based on Cholmod
-  *
-  * This class allows to solve for A.X = B sparse linear problems via a LL^T or LDL^T Cholesky factorization
-  * using the Cholmod library. The sparse matrix A must be selfajoint and positive definite. The vectors or matrices
-  * X and B can be either dense or sparse.
-  *
-  * This variant permits to change the underlying Cholesky method at runtime.
-  * On the other hand, it does not provide access to the result of the factorization.
-  * The default is to let Cholmod automatically choose between a simplicial and supernodal factorization.
-  *
-  * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
-  * \tparam _UpLo the triangular part that will be used for the computations. It can be Lower
-  *               or Upper. Default is Lower.
-  *
-  * This class supports all kind of SparseMatrix<>: row or column major; upper, lower, or both; compressed or non compressed.
-  *
-  * \sa \ref TutorialSparseDirectSolvers
-  */
-template<typename _MatrixType, int _UpLo = Lower>
-class CholmodDecomposition : public CholmodBase<_MatrixType, _UpLo, CholmodDecomposition<_MatrixType, _UpLo> >
-{
-    typedef CholmodBase<_MatrixType, _UpLo, CholmodDecomposition> Base;
-    using Base::m_cholmod;
-    
-  public:
-    
-    typedef _MatrixType MatrixType;
-    
-    CholmodDecomposition() : Base() { init(); }
-
-    CholmodDecomposition(const MatrixType& matrix) : Base()
-    {
-      init();
-      compute(matrix);
-    }
-
-    ~CholmodDecomposition() {}
-    
-    void setMode(CholmodMode mode)
-    {
-      switch(mode)
-      {
-        case CholmodAuto:
-          m_cholmod.final_asis = 1;
-          m_cholmod.supernodal = CHOLMOD_AUTO;
-          break;
-        case CholmodSimplicialLLt:
-          m_cholmod.final_asis = 0;
-          m_cholmod.supernodal = CHOLMOD_SIMPLICIAL;
-          m_cholmod.final_ll = 1;
-          break;
-        case CholmodSupernodalLLt:
-          m_cholmod.final_asis = 1;
-          m_cholmod.supernodal = CHOLMOD_SUPERNODAL;
-          break;
-        case CholmodLDLt:
-          m_cholmod.final_asis = 1;
-          m_cholmod.supernodal = CHOLMOD_SIMPLICIAL;
-          break;
-        default:
-          break;
-      }
-    }
-  protected:
-    void init()
-    {
-      m_cholmod.final_asis = 1;
-      m_cholmod.supernodal = CHOLMOD_AUTO;
-    }
-};
-
-namespace internal {
-  
-template<typename _MatrixType, int _UpLo, typename Derived, typename Rhs>
-struct solve_retval<CholmodBase<_MatrixType,_UpLo,Derived>, Rhs>
-  : solve_retval_base<CholmodBase<_MatrixType,_UpLo,Derived>, Rhs>
-{
-  typedef CholmodBase<_MatrixType,_UpLo,Derived> Dec;
-  EIGEN_MAKE_SOLVE_HELPERS(Dec,Rhs)
-
-  template<typename Dest> void evalTo(Dest& dst) const
-  {
-    dec()._solve(rhs(),dst);
-  }
-};
-
-template<typename _MatrixType, int _UpLo, typename Derived, typename Rhs>
-struct sparse_solve_retval<CholmodBase<_MatrixType,_UpLo,Derived>, Rhs>
-  : sparse_solve_retval_base<CholmodBase<_MatrixType,_UpLo,Derived>, Rhs>
-{
-  typedef CholmodBase<_MatrixType,_UpLo,Derived> Dec;
-  EIGEN_MAKE_SPARSE_SOLVE_HELPERS(Dec,Rhs)
-
-  template<typename Dest> void evalTo(Dest& dst) const
-  {
-    dec()._solve(rhs(),dst);
-  }
-};
-
-} // end namespace internal
-
-} // end namespace Eigen
-
-#endif // EIGEN_CHOLMODSUPPORT_H
--- a/Eigen/src/Core/Array.h
+++ b/Eigen/src/Core/Array.h
@@ -1,323 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
-//
-// Eigen is free software; you can redistribute it and/or
-// modify it under the terms of the GNU Lesser General Public
-// License as published by the Free Software Foundation; either
-// version 3 of the License, or (at your option) any later version.
-//
-// Alternatively, you can redistribute it and/or
-// modify it under the terms of the GNU General Public License as
-// published by the Free Software Foundation; either version 2 of
-// the License, or (at your option) any later version.
-//
-// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
-// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
-// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU Lesser General Public
-// License and a copy of the GNU General Public License along with
-// Eigen. If not, see <http://www.gnu.org/licenses/>.
-
-#ifndef EIGEN_ARRAY_H
-#define EIGEN_ARRAY_H
-
-namespace Eigen {
-
-/** \class Array 
-  * \ingroup Core_Module
-  *
-  * \brief General-purpose arrays with easy API for coefficient-wise operations
-  *
-  * The %Array class is very similar to the Matrix class. It provides
-  * general-purpose one- and two-dimensional arrays. The difference between the
-  * %Array and the %Matrix class is primarily in the API: the API for the
-  * %Array class provides easy access to coefficient-wise operations, while the
-  * API for the %Matrix class provides easy access to linear-algebra
-  * operations.
-  *
-  * This class can be extended with the help of the plugin mechanism described on the page
-  * \ref TopicCustomizingEigen by defining the preprocessor symbol \c EIGEN_ARRAY_PLUGIN.
-  *
-  * \sa \ref TutorialArrayClass, \ref TopicClassHierarchy
-  */
-namespace internal {
-template<typename _Scalar, int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols>
-struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
-{
-  typedef ArrayXpr XprKind;
-  typedef ArrayBase<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > XprBase;
-};
-}
-
-template<typename _Scalar, int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols>
-class Array
-  : public PlainObjectBase<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
-{
-  public:
-
-    typedef PlainObjectBase<Array> Base;
-    EIGEN_DENSE_PUBLIC_INTERFACE(Array)
-
-    enum { Options = _Options };
-    typedef typename Base::PlainObject PlainObject;
-
-  protected:
-    template <typename Derived, typename OtherDerived, bool IsVector>
-    friend struct internal::conservative_resize_like_impl;
-
-    using Base::m_storage;
-
-  public:
-
-    using Base::base;
-    using Base::coeff;
-    using Base::coeffRef;
-
-    /**
-      * The usage of
-      *   using Base::operator=;
-      * fails on MSVC. Since the code below is working with GCC and MSVC, we skipped
-      * the usage of 'using'. This should be done only for operator=.
-      */
-    template<typename OtherDerived>
-    EIGEN_STRONG_INLINE Array& operator=(const EigenBase<OtherDerived> &other)
-    {
-      return Base::operator=(other);
-    }
-
-    /** Copies the value of the expression \a other into \c *this with automatic resizing.
-      *
-      * *this might be resized to match the dimensions of \a other. If *this was a null matrix (not already initialized),
-      * it will be initialized.
-      *
-      * Note that copying a row-vector into a vector (and conversely) is allowed.
-      * The resizing, if any, is then done in the appropriate way so that row-vectors
-      * remain row-vectors and vectors remain vectors.
-      */
-    template<typename OtherDerived>
-    EIGEN_STRONG_INLINE Array& operator=(const ArrayBase<OtherDerived>& other)
-    {
-      return Base::_set(other);
-    }
-
-    /** This is a special case of the templated operator=. Its purpose is to
-      * prevent a default operator= from hiding the templated operator=.
-      */
-    EIGEN_STRONG_INLINE Array& operator=(const Array& other)
-    {
-      return Base::_set(other);
-    }
-
-    /** Default constructor.
-      *
-      * For fixed-size matrices, does nothing.
-      *
-      * For dynamic-size matrices, creates an empty matrix of size 0. Does not allocate any array. Such a matrix
-      * is called a null matrix. This constructor is the unique way to create null matrices: resizing
-      * a matrix to 0 is not supported.
-      *
-      * \sa resize(Index,Index)
-      */
-    EIGEN_STRONG_INLINE explicit Array() : Base()
-    {
-      Base::_check_template_params();
-      EIGEN_INITIALIZE_BY_ZERO_IF_THAT_OPTION_IS_ENABLED
-    }
-
-#ifndef EIGEN_PARSED_BY_DOXYGEN
-    // FIXME is it still needed ??
-    /** \internal */
-    Array(internal::constructor_without_unaligned_array_assert)
-      : Base(internal::constructor_without_unaligned_array_assert())
-    {
-      Base::_check_template_params();
-      EIGEN_INITIALIZE_BY_ZERO_IF_THAT_OPTION_IS_ENABLED
-    }
-#endif
-
-    /** Constructs a vector or row-vector with given dimension. \only_for_vectors
-      *
-      * Note that this is only useful for dynamic-size vectors. For fixed-size vectors,
-      * it is redundant to pass the dimension here, so it makes more sense to use the default
-      * constructor Matrix() instead.
-      */
-    EIGEN_STRONG_INLINE explicit Array(Index dim)
-      : Base(dim, RowsAtCompileTime == 1 ? 1 : dim, ColsAtCompileTime == 1 ? 1 : dim)
-    {
-      Base::_check_template_params();
-      EIGEN_STATIC_ASSERT_VECTOR_ONLY(Array)
-      eigen_assert(dim >= 0);
-      eigen_assert(SizeAtCompileTime == Dynamic || SizeAtCompileTime == dim);
-      EIGEN_INITIALIZE_BY_ZERO_IF_THAT_OPTION_IS_ENABLED
-    }
-
-    #ifndef EIGEN_PARSED_BY_DOXYGEN
-    template<typename T0, typename T1>
-    EIGEN_STRONG_INLINE Array(const T0& x, const T1& y)
-    {
-      Base::_check_template_params();
-      this->template _init2<T0,T1>(x, y);
-    }
-    #else
-    /** constructs an uninitialized matrix with \a rows rows and \a cols columns.
-      *
-      * This is useful for dynamic-size matrices. For fixed-size matrices,
-      * it is redundant to pass these parameters, so one should use the default constructor
-      * Matrix() instead. */
-    Array(Index rows, Index cols);
-    /** constructs an initialized 2D vector with given coefficients */
-    Array(const Scalar& x, const Scalar& y);
-    #endif
-
-    /** constructs an initialized 3D vector with given coefficients */
-    EIGEN_STRONG_INLINE Array(const Scalar& x, const Scalar& y, const Scalar& z)
-    {
-      Base::_check_template_params();
-      EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(Array, 3)
-      m_storage.data()[0] = x;
-      m_storage.data()[1] = y;
-      m_storage.data()[2] = z;
-    }
-    /** constructs an initialized 4D vector with given coefficients */
-    EIGEN_STRONG_INLINE Array(const Scalar& x, const Scalar& y, const Scalar& z, const Scalar& w)
-    {
-      Base::_check_template_params();
-      EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(Array, 4)
-      m_storage.data()[0] = x;
-      m_storage.data()[1] = y;
-      m_storage.data()[2] = z;
-      m_storage.data()[3] = w;
-    }
-
-    explicit Array(const Scalar *data);
-
-    /** Constructor copying the value of the expression \a other */
-    template<typename OtherDerived>
-    EIGEN_STRONG_INLINE Array(const ArrayBase<OtherDerived>& other)
-             : Base(other.rows() * other.cols(), other.rows(), other.cols())
-    {
-      Base::_check_template_params();
-      Base::_set_noalias(other);
-    }
-    /** Copy constructor */
-    EIGEN_STRONG_INLINE Array(const Array& other)
-            : Base(other.rows() * other.cols(), other.rows(), other.cols())
-    {
-      Base::_check_template_params();
-      Base::_set_noalias(other);
-    }
-    /** Copy constructor with in-place evaluation */
-    template<typename OtherDerived>
-    EIGEN_STRONG_INLINE Array(const ReturnByValue<OtherDerived>& other)
-    {
-      Base::_check_template_params();
-      Base::resize(other.rows(), other.cols());
-      other.evalTo(*this);
-    }
-
-    /** \sa MatrixBase::operator=(const EigenBase<OtherDerived>&) */
-    template<typename OtherDerived>
-    EIGEN_STRONG_INLINE Array(const EigenBase<OtherDerived> &other)
-      : Base(other.derived().rows() * other.derived().cols(), other.derived().rows(), other.derived().cols())
-    {
-      Base::_check_template_params();
-      Base::resize(other.rows(), other.cols());
-      *this = other;
-    }
-
-    /** Override MatrixBase::swap() since for dynamic-sized matrices of same type it is enough to swap the
-      * data pointers.
-      */
-    template<typename OtherDerived>
-    void swap(ArrayBase<OtherDerived> const & other)
-    { this->_swap(other.derived()); }
-
-    inline Index innerStride() const { return 1; }
-    inline Index outerStride() const { return this->innerSize(); }
-
-    #ifdef EIGEN_ARRAY_PLUGIN
-    #include EIGEN_ARRAY_PLUGIN
-    #endif
-
-  private:
-
-    template<typename MatrixType, typename OtherDerived, bool SwapPointers>
-    friend struct internal::matrix_swap_impl;
-};
-
-/** \defgroup arraytypedefs Global array typedefs
-  * \ingroup Core_Module
-  *
-  * Eigen defines several typedef shortcuts for most common 1D and 2D array types.
-  *
-  * The general patterns are the following:
-  *
-  * \c ArrayRowsColsType where \c Rows and \c Cols can be \c 2,\c 3,\c 4 for fixed size square matrices or \c X for dynamic size,
-  * and where \c Type can be \c i for integer, \c f for float, \c d for double, \c cf for complex float, \c cd
-  * for complex double.
-  *
-  * For example, \c Array33d is a fixed-size 3x3 array type of doubles, and \c ArrayXXf is a dynamic-size matrix of floats.
-  *
-  * There are also \c ArraySizeType which are self-explanatory. For example, \c Array4cf is
-  * a fixed-size 1D array of 4 complex floats.
-  *
-  * \sa class Array
-  */
-
-#define EIGEN_MAKE_ARRAY_TYPEDEFS(Type, TypeSuffix, Size, SizeSuffix)   \
-/** \ingroup arraytypedefs */                                    \
-typedef Array<Type, Size, Size> Array##SizeSuffix##SizeSuffix##TypeSuffix;  \
-/** \ingroup arraytypedefs */                                    \
-typedef Array<Type, Size, 1>    Array##SizeSuffix##TypeSuffix;
-
-#define EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS(Type, TypeSuffix, Size)         \
-/** \ingroup arraytypedefs */                                    \
-typedef Array<Type, Size, Dynamic> Array##Size##X##TypeSuffix;  \
-/** \ingroup arraytypedefs */                                    \
-typedef Array<Type, Dynamic, Size> Array##X##Size##TypeSuffix;
-
-#define EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES(Type, TypeSuffix) \
-EIGEN_MAKE_ARRAY_TYPEDEFS(Type, TypeSuffix, 2, 2) \
-EIGEN_MAKE_ARRAY_TYPEDEFS(Type, TypeSuffix, 3, 3) \
-EIGEN_MAKE_ARRAY_TYPEDEFS(Type, TypeSuffix, 4, 4) \
-EIGEN_MAKE_ARRAY_TYPEDEFS(Type, TypeSuffix, Dynamic, X) \
-EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS(Type, TypeSuffix, 2) \
-EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS(Type, TypeSuffix, 3) \
-EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS(Type, TypeSuffix, 4)
-
-EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES(int,                  i)
-EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES(float,                f)
-EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES(double,               d)
-EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES(std::complex<float>,  cf)
-EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES(std::complex<double>, cd)
-
-#undef EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES
-#undef EIGEN_MAKE_ARRAY_TYPEDEFS
-
-#undef EIGEN_MAKE_ARRAY_TYPEDEFS_LARGE
-
-#define EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, SizeSuffix) \
-using Eigen::Matrix##SizeSuffix##TypeSuffix; \
-using Eigen::Vector##SizeSuffix##TypeSuffix; \
-using Eigen::RowVector##SizeSuffix##TypeSuffix;
-
-#define EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(TypeSuffix) \
-EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, 2) \
-EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, 3) \
-EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, 4) \
-EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, X) \
-
-#define EIGEN_USING_ARRAY_TYPEDEFS \
-EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(i) \
-EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(f) \
-EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(d) \
-EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(cf) \
-EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(cd)
-
-} // end namespace Eigen
-
-#endif // EIGEN_ARRAY_H
--- a/Eigen/src/Core/ArrayBase.h
+++ b/Eigen/src/Core/ArrayBase.h
@@ -1,243 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
-//
-// Eigen is free software; you can redistribute it and/or
-// modify it under the terms of the GNU Lesser General Public
-// License as published by the Free Software Foundation; either
-// version 3 of the License, or (at your option) any later version.
-//
-// Alternatively, you can redistribute it and/or
-// modify it under the terms of the GNU General Public License as
-// published by the Free Software Foundation; either version 2 of
-// the License, or (at your option) any later version.
-//
-// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
-// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
-// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU Lesser General Public
-// License and a copy of the GNU General Public License along with
-// Eigen. If not, see <http://www.gnu.org/licenses/>.
-
-#ifndef EIGEN_ARRAYBASE_H
-#define EIGEN_ARRAYBASE_H
-
-namespace Eigen { 
-
-template<typename ExpressionType> class MatrixWrapper;
-
-/** \class ArrayBase
-  * \ingroup Core_Module
-  *
-  * \brief Base class for all 1D and 2D array, and related expressions
-  *
-  * An array is similar to a dense vector or matrix. While matrices are mathematical
-  * objects with well defined linear algebra operators, an array is just a collection
-  * of scalar values arranged in a one or two dimensionnal fashion. As the main consequence,
-  * all operations applied to an array are performed coefficient wise. Furthermore,
-  * arrays support scalar math functions of the c++ standard library (e.g., std::sin(x)), and convenient
-  * constructors allowing to easily write generic code working for both scalar values
-  * and arrays.
-  *
-  * This class is the base that is inherited by all array expression types.
-  *
-  * \tparam Derived is the derived type, e.g., an array or an expression type.
-  *
-  * This class can be extended with the help of the plugin mechanism described on the page
-  * \ref TopicCustomizingEigen by defining the preprocessor symbol \c EIGEN_ARRAYBASE_PLUGIN.
-  *
-  * \sa class MatrixBase, \ref TopicClassHierarchy
-  */
-template<typename Derived> class ArrayBase
-  : public DenseBase<Derived>
-{
-  public:
-#ifndef EIGEN_PARSED_BY_DOXYGEN
-    /** The base class for a given storage type. */
-    typedef ArrayBase StorageBaseType;
-
-    typedef ArrayBase Eigen_BaseClassForSpecializationOfGlobalMathFuncImpl;
-
-    using internal::special_scalar_op_base<Derived,typename internal::traits<Derived>::Scalar,
-                typename NumTraits<typename internal::traits<Derived>::Scalar>::Real>::operator*;
-
-    typedef typename internal::traits<Derived>::StorageKind StorageKind;
-    typedef typename internal::traits<Derived>::Index Index;
-    typedef typename internal::traits<Derived>::Scalar Scalar;
-    typedef typename internal::packet_traits<Scalar>::type PacketScalar;
-    typedef typename NumTraits<Scalar>::Real RealScalar;
-
-    typedef DenseBase<Derived> Base;
-    using Base::RowsAtCompileTime;
-    using Base::ColsAtCompileTime;
-    using Base::SizeAtCompileTime;
-    using Base::MaxRowsAtCompileTime;
-    using Base::MaxColsAtCompileTime;
-    using Base::MaxSizeAtCompileTime;
-    using Base::IsVectorAtCompileTime;
-    using Base::Flags;
-    using Base::CoeffReadCost;
-
-    using Base::derived;
-    using Base::const_cast_derived;
-    using Base::rows;
-    using Base::cols;
-    using Base::size;
-    using Base::coeff;
-    using Base::coeffRef;
-    using Base::lazyAssign;
-    using Base::operator=;
-    using Base::operator+=;
-    using Base::operator-=;
-    using Base::operator*=;
-    using Base::operator/=;
-
-    typedef typename Base::CoeffReturnType CoeffReturnType;
-
-#endif // not EIGEN_PARSED_BY_DOXYGEN
-
-#ifndef EIGEN_PARSED_BY_DOXYGEN
-    /** \internal the plain matrix type corresponding to this expression. Note that is not necessarily
-      * exactly the return type of eval(): in the case of plain matrices, the return type of eval() is a const
-      * reference to a matrix, not a matrix! It is however guaranteed that the return type of eval() is either
-      * PlainObject or const PlainObject&.
-      */
-    typedef Array<typename internal::traits<Derived>::Scalar,
-                internal::traits<Derived>::RowsAtCompileTime,
-                internal::traits<Derived>::ColsAtCompileTime,
-                AutoAlign | (internal::traits<Derived>::Flags&RowMajorBit ? RowMajor : ColMajor),
-                internal::traits<Derived>::MaxRowsAtCompileTime,
-                internal::traits<Derived>::MaxColsAtCompileTime
-          > PlainObject;
-
-
-    /** \internal Represents a matrix with all coefficients equal to one another*/
-    typedef CwiseNullaryOp<internal::scalar_constant_op<Scalar>,Derived> ConstantReturnType;
-#endif // not EIGEN_PARSED_BY_DOXYGEN
-
-#define EIGEN_CURRENT_STORAGE_BASE_CLASS Eigen::ArrayBase
-#   include "../plugins/CommonCwiseUnaryOps.h"
-#   include "../plugins/MatrixCwiseUnaryOps.h"
-#   include "../plugins/ArrayCwiseUnaryOps.h"
-#   include "../plugins/CommonCwiseBinaryOps.h"
-#   include "../plugins/MatrixCwiseBinaryOps.h"
-#   include "../plugins/ArrayCwiseBinaryOps.h"
-#   ifdef EIGEN_ARRAYBASE_PLUGIN
-#     include EIGEN_ARRAYBASE_PLUGIN
-#   endif
-#undef EIGEN_CURRENT_STORAGE_BASE_CLASS
-
-    /** Special case of the template operator=, in order to prevent the compiler
-      * from generating a default operator= (issue hit with g++ 4.1)
-      */
-    Derived& operator=(const ArrayBase& other)
-    {
-      return internal::assign_selector<Derived,Derived>::run(derived(), other.derived());
-    }
-
-    Derived& operator+=(const Scalar& scalar)
-    { return *this = derived() + scalar; }
-    Derived& operator-=(const Scalar& scalar)
-    { return *this = derived() - scalar; }
-
-    template<typename OtherDerived>
-    Derived& operator+=(const ArrayBase<OtherDerived>& other);
-    template<typename OtherDerived>
-    Derived& operator-=(const ArrayBase<OtherDerived>& other);
-
-    template<typename OtherDerived>
-    Derived& operator*=(const ArrayBase<OtherDerived>& other);
-
-    template<typename OtherDerived>
-    Derived& operator/=(const ArrayBase<OtherDerived>& other);
-
-  public:
-    ArrayBase<Derived>& array() { return *this; }
-    const ArrayBase<Derived>& array() const { return *this; }
-
-    /** \returns an \link MatrixBase Matrix \endlink expression of this array
-      * \sa MatrixBase::array() */
-    MatrixWrapper<Derived> matrix() { return derived(); }
-    const MatrixWrapper<const Derived> matrix() const { return derived(); }
-
-//     template<typename Dest>
-//     inline void evalTo(Dest& dst) const { dst = matrix(); }
-
-  protected:
-    ArrayBase() : Base() {}
-
-  private:
-    explicit ArrayBase(Index);
-    ArrayBase(Index,Index);
-    template<typename OtherDerived> explicit ArrayBase(const ArrayBase<OtherDerived>&);
-  protected:
-    // mixing arrays and matrices is not legal
-    template<typename OtherDerived> Derived& operator+=(const MatrixBase<OtherDerived>& )
-    {EIGEN_STATIC_ASSERT(std::ptrdiff_t(sizeof(typename OtherDerived::Scalar))==-1,YOU_CANNOT_MIX_ARRAYS_AND_MATRICES); return *this;}
-    // mixing arrays and matrices is not legal
-    template<typename OtherDerived> Derived& operator-=(const MatrixBase<OtherDerived>& )
-    {EIGEN_STATIC_ASSERT(std::ptrdiff_t(sizeof(typename OtherDerived::Scalar))==-1,YOU_CANNOT_MIX_ARRAYS_AND_MATRICES); return *this;}
-};
-
-/** replaces \c *this by \c *this - \a other.
-  *
-  * \returns a reference to \c *this
-  */
-template<typename Derived>
-template<typename OtherDerived>
-EIGEN_STRONG_INLINE Derived &
-ArrayBase<Derived>::operator-=(const ArrayBase<OtherDerived> &other)
-{
-  SelfCwiseBinaryOp<internal::scalar_difference_op<Scalar>, Derived, OtherDerived> tmp(derived());
-  tmp = other.derived();
-  return derived();
-}
-
-/** replaces \c *this by \c *this + \a other.
-  *
-  * \returns a reference to \c *this
-  */
-template<typename Derived>
-template<typename OtherDerived>
-EIGEN_STRONG_INLINE Derived &
-ArrayBase<Derived>::operator+=(const ArrayBase<OtherDerived>& other)
-{
-  SelfCwiseBinaryOp<internal::scalar_sum_op<Scalar>, Derived, OtherDerived> tmp(derived());
-  tmp = other.derived();
-  return derived();
-}
-
-/** replaces \c *this by \c *this * \a other coefficient wise.
-  *
-  * \returns a reference to \c *this
-  */
-template<typename Derived>
-template<typename OtherDerived>
-EIGEN_STRONG_INLINE Derived &
-ArrayBase<Derived>::operator*=(const ArrayBase<OtherDerived>& other)
-{
-  SelfCwiseBinaryOp<internal::scalar_product_op<Scalar>, Derived, OtherDerived> tmp(derived());
-  tmp = other.derived();
-  return derived();
-}
-
-/** replaces \c *this by \c *this / \a other coefficient wise.
-  *
-  * \returns a reference to \c *this
-  */
-template<typename Derived>
-template<typename OtherDerived>
-EIGEN_STRONG_INLINE Derived &
-ArrayBase<Derived>::operator/=(const ArrayBase<OtherDerived>& other)
-{
-  SelfCwiseBinaryOp<internal::scalar_quotient_op<Scalar>, Derived, OtherDerived> tmp(derived());
-  tmp = other.derived();
-  return derived();
-}
-
-} // end namespace Eigen
-
-#endif // EIGEN_ARRAYBASE_H
--- a/Eigen/src/Core/ArrayWrapper.h
+++ b/Eigen/src/Core/ArrayWrapper.h
@@ -1,255 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
-//
-// Eigen is free software; you can redistribute it and/or
-// modify it under the terms of the GNU Lesser General Public
-// License as published by the Free Software Foundation; either
-// version 3 of the License, or (at your option) any later version.
-//
-// Alternatively, you can redistribute it and/or
-// modify it under the terms of the GNU General Public License as
-// published by the Free Software Foundation; either version 2 of
-// the License, or (at your option) any later version.
-//
-// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
-// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
-// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU Lesser General Public
-// License and a copy of the GNU General Public License along with
-// Eigen. If not, see <http://www.gnu.org/licenses/>.
-
-#ifndef EIGEN_ARRAYWRAPPER_H
-#define EIGEN_ARRAYWRAPPER_H
-
-namespace Eigen { 
-
-/** \class ArrayWrapper
-  * \ingroup Core_Module
-  *
-  * \brief Expression of a mathematical vector or matrix as an array object
-  *
-  * This class is the return type of MatrixBase::array(), and most of the time
-  * this is the only way it is use.
-  *
-  * \sa MatrixBase::array(), class MatrixWrapper
-  */
-
-namespace internal {
-template<typename ExpressionType>
-struct traits<ArrayWrapper<ExpressionType> >
-  : public traits<typename remove_all<typename ExpressionType::Nested>::type >
-{
-  typedef ArrayXpr XprKind;
-};
-}
-
-template<typename ExpressionType>
-class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
-{
-  public:
-    typedef ArrayBase<ArrayWrapper> Base;
-    EIGEN_DENSE_PUBLIC_INTERFACE(ArrayWrapper)
-    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(ArrayWrapper)
-
-    typedef typename internal::conditional<
-                       internal::is_lvalue<ExpressionType>::value,
-                       Scalar,
-                       const Scalar
-                     >::type ScalarWithConstIfNotLvalue;
-
-    typedef typename internal::nested<ExpressionType>::type NestedExpressionType;
-
-    inline ArrayWrapper(ExpressionType& matrix) : m_expression(matrix) {}
-
-    inline Index rows() const { return m_expression.rows(); }
-    inline Index cols() const { return m_expression.cols(); }
-    inline Index outerStride() const { return m_expression.outerStride(); }
-    inline Index innerStride() const { return m_expression.innerStride(); }
-
-    inline ScalarWithConstIfNotLvalue* data() { return m_expression.data(); }
-    inline const Scalar* data() const { return m_expression.data(); }
-
-    inline CoeffReturnType coeff(Index row, Index col) const
-    {
-      return m_expression.coeff(row, col);
-    }
-
-    inline Scalar& coeffRef(Index row, Index col)
-    {
-      return m_expression.const_cast_derived().coeffRef(row, col);
-    }
-
-    inline const Scalar& coeffRef(Index row, Index col) const
-    {
-      return m_expression.const_cast_derived().coeffRef(row, col);
-    }
-
-    inline CoeffReturnType coeff(Index index) const
-    {
-      return m_expression.coeff(index);
-    }
-
-    inline Scalar& coeffRef(Index index)
-    {
-      return m_expression.const_cast_derived().coeffRef(index);
-    }
-
-    inline const Scalar& coeffRef(Index index) const
-    {
-      return m_expression.const_cast_derived().coeffRef(index);
-    }
-
-    template<int LoadMode>
-    inline const PacketScalar packet(Index row, Index col) const
-    {
-      return m_expression.template packet<LoadMode>(row, col);
-    }
-
-    template<int LoadMode>
-    inline void writePacket(Index row, Index col, const PacketScalar& x)
-    {
-      m_expression.const_cast_derived().template writePacket<LoadMode>(row, col, x);
-    }
-
-    template<int LoadMode>
-    inline const PacketScalar packet(Index index) const
-    {
-      return m_expression.template packet<LoadMode>(index);
-    }
-
-    template<int LoadMode>
-    inline void writePacket(Index index, const PacketScalar& x)
-    {
-      m_expression.const_cast_derived().template writePacket<LoadMode>(index, x);
-    }
-
-    template<typename Dest>
-    inline void evalTo(Dest& dst) const { dst = m_expression; }
-
-    const typename internal::remove_all<NestedExpressionType>::type& 
-    nestedExpression() const 
-    {
-      return m_expression;
-    }
-
-  protected:
-    NestedExpressionType m_expression;
-};
-
-/** \class MatrixWrapper
-  * \ingroup Core_Module
-  *
-  * \brief Expression of an array as a mathematical vector or matrix
-  *
-  * This class is the return type of ArrayBase::matrix(), and most of the time
-  * this is the only way it is use.
-  *
-  * \sa MatrixBase::matrix(), class ArrayWrapper
-  */
-
-namespace internal {
-template<typename ExpressionType>
-struct traits<MatrixWrapper<ExpressionType> >
- : public traits<typename remove_all<typename ExpressionType::Nested>::type >
-{
-  typedef MatrixXpr XprKind;
-};
-}
-
-template<typename ExpressionType>
-class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
-{
-  public:
-    typedef MatrixBase<MatrixWrapper<ExpressionType> > Base;
-    EIGEN_DENSE_PUBLIC_INTERFACE(MatrixWrapper)
-    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(MatrixWrapper)
-
-    typedef typename internal::conditional<
-                       internal::is_lvalue<ExpressionType>::value,
-                       Scalar,
-                       const Scalar
-                     >::type ScalarWithConstIfNotLvalue;
-
-    typedef typename internal::nested<ExpressionType>::type NestedExpressionType;
-
-    inline MatrixWrapper(ExpressionType& matrix) : m_expression(matrix) {}
-
-    inline Index rows() const { return m_expression.rows(); }
-    inline Index cols() const { return m_expression.cols(); }
-    inline Index outerStride() const { return m_expression.outerStride(); }
-    inline Index innerStride() const { return m_expression.innerStride(); }
-
-    inline ScalarWithConstIfNotLvalue* data() { return m_expression.data(); }
-    inline const Scalar* data() const { return m_expression.data(); }
-
-    inline CoeffReturnType coeff(Index row, Index col) const
-    {
-      return m_expression.coeff(row, col);
-    }
-
-    inline Scalar& coeffRef(Index row, Index col)
-    {
-      return m_expression.const_cast_derived().coeffRef(row, col);
-    }
-
-    inline const Scalar& coeffRef(Index row, Index col) const
-    {
-      return m_expression.derived().coeffRef(row, col);
-    }
-
-    inline CoeffReturnType coeff(Index index) const
-    {
-      return m_expression.coeff(index);
-    }
-
-    inline Scalar& coeffRef(Index index)
-    {
-      return m_expression.const_cast_derived().coeffRef(index);
-    }
-
-    inline const Scalar& coeffRef(Index index) const
-    {
-      return m_expression.const_cast_derived().coeffRef(index);
-    }
-
-    template<int LoadMode>
-    inline const PacketScalar packet(Index row, Index col) const
-    {
-      return m_expression.template packet<LoadMode>(row, col);
-    }
-
-    template<int LoadMode>
-    inline void writePacket(Index row, Index col, const PacketScalar& x)
-    {
-      m_expression.const_cast_derived().template writePacket<LoadMode>(row, col, x);
-    }
-
-    template<int LoadMode>
-    inline const PacketScalar packet(Index index) const
-    {
-      return m_expression.template packet<LoadMode>(index);
-    }
-
-    template<int LoadMode>
-    inline void writePacket(Index index, const PacketScalar& x)
-    {
-      m_expression.const_cast_derived().template writePacket<LoadMode>(index, x);
-    }
-
-    const typename internal::remove_all<NestedExpressionType>::type& 
-    nestedExpression() const 
-    {
-      return m_expression;
-    }
-
-  protected:
-    NestedExpressionType m_expression;
-};
-
-} // end namespace Eigen
-
-#endif // EIGEN_ARRAYWRAPPER_H
--- a/Eigen/src/Core/Assign.h
+++ b/Eigen/src/Core/Assign.h
@@ -1,9 +1,9 @@
 // This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
+// for linear algebra. Eigen itself is part of the KDE project.
 //
 // Copyright (C) 2007 Michael Olbrich <michael.olbrich@gmx.net>
-// Copyright (C) 2006-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
-// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
 //
 // Eigen is free software; you can redistribute it and/or
 // modify it under the terms of the GNU Lesser General Public
@@ -27,180 +27,121 @@
 #ifndef EIGEN_ASSIGN_H
 #define EIGEN_ASSIGN_H

-namespace Eigen {
-
-namespace internal {
-
 /***************************************************************************
-* Part 1 : the logic deciding a strategy for traversal and unrolling       *
+* Part 1 : the logic deciding a strategy for vectorization and unrolling
 ***************************************************************************/

 template <typename Derived, typename OtherDerived>
-struct assign_traits
+struct ei_assign_traits
 {
 public:
  enum {
    DstIsAligned = Derived::Flags & AlignedBit,
-    DstHasDirectAccess = Derived::Flags & DirectAccessBit,
    SrcIsAligned = OtherDerived::Flags & AlignedBit,
-    JointAlignment = bool(DstIsAligned) && bool(SrcIsAligned) ? Aligned : Unaligned
+    SrcAlignment = DstIsAligned && SrcIsAligned ? Aligned : Unaligned
  };

 private:
  enum {
-    InnerSize = int(Derived::IsVectorAtCompileTime) ? int(Derived::SizeAtCompileTime)
-              : int(Derived::Flags)&RowMajorBit ? int(Derived::ColsAtCompileTime)
-              : int(Derived::RowsAtCompileTime),
-    InnerMaxSize = int(Derived::IsVectorAtCompileTime) ? int(Derived::MaxSizeAtCompileTime)
-              : int(Derived::Flags)&RowMajorBit ? int(Derived::MaxColsAtCompileTime)
-              : int(Derived::MaxRowsAtCompileTime),
-    MaxSizeAtCompileTime = Derived::SizeAtCompileTime,
-    PacketSize = packet_traits<typename Derived::Scalar>::size
+    InnerSize = int(Derived::Flags)&RowMajorBit
+              ? Derived::ColsAtCompileTime
+              : Derived::RowsAtCompileTime,
+    InnerMaxSize = int(Derived::Flags)&RowMajorBit
+              ? Derived::MaxColsAtCompileTime
+              : Derived::MaxRowsAtCompileTime,
+    PacketSize = ei_packet_traits<typename Derived::Scalar>::size
  };

  enum {
-    StorageOrdersAgree = (int(Derived::IsRowMajor) == int(OtherDerived::IsRowMajor)),
-    MightVectorize = StorageOrdersAgree
-                  && (int(Derived::Flags) & int(OtherDerived::Flags) & ActualPacketAccessBit),
+    MightVectorize = (int(Derived::Flags) & int(OtherDerived::Flags) & ActualPacketAccessBit)
+                  && ((int(Derived::Flags)&RowMajorBit)==(int(OtherDerived::Flags)&RowMajorBit)),
    MayInnerVectorize  = MightVectorize && int(InnerSize)!=Dynamic && int(InnerSize)%int(PacketSize)==0
                       && int(DstIsAligned) && int(SrcIsAligned),
-    MayLinearize = StorageOrdersAgree && (int(Derived::Flags) & int(OtherDerived::Flags) & LinearAccessBit),
-    MayLinearVectorize = MightVectorize && MayLinearize && DstHasDirectAccess
-                       && (DstIsAligned || MaxSizeAtCompileTime == Dynamic),
-      /* If the destination isn't aligned, we have to do runtime checks and we don't unroll,
-         so it's only good for large enough sizes. */
-    MaySliceVectorize  = MightVectorize && DstHasDirectAccess
-                       && (int(InnerMaxSize)==Dynamic || int(InnerMaxSize)>=3*PacketSize)
-      /* slice vectorization can be slow, so we only want it if the slices are big, which is
-         indicated by InnerMaxSize rather than InnerSize, think of the case of a dynamic block
-         in a fixed-size matrix */
+    MayLinearVectorize = MightVectorize && (int(Derived::Flags) & int(OtherDerived::Flags) & LinearAccessBit),
+    MaySliceVectorize  = MightVectorize && int(InnerMaxSize)>=3*PacketSize /* slice vectorization can be slow, so we only
+      want it if the slices are big, which is indicated by InnerMaxSize rather than InnerSize, think of the case
+      of a dynamic block in a fixed-size matrix */
  };

 public:
  enum {
-    Traversal = int(MayInnerVectorize)  ? int(InnerVectorizedTraversal)
-              : int(MayLinearVectorize) ? int(LinearVectorizedTraversal)
-              : int(MaySliceVectorize)  ? int(SliceVectorizedTraversal)
-              : int(MayLinearize)       ? int(LinearTraversal)
-                                        : int(DefaultTraversal),
-    Vectorized = int(Traversal) == InnerVectorizedTraversal
-              || int(Traversal) == LinearVectorizedTraversal
-              || int(Traversal) == SliceVectorizedTraversal
+    Vectorization = int(MayInnerVectorize)  ? int(InnerVectorization)
+                  : int(MayLinearVectorize) ? int(LinearVectorization)
+                  : int(MaySliceVectorize)  ? int(SliceVectorization)
+                                            : int(NoVectorization)
  };

 private:
  enum {
-    UnrollingLimit      = EIGEN_UNROLLING_LIMIT * (Vectorized ? int(PacketSize) : 1),
-    MayUnrollCompletely = int(Derived::SizeAtCompileTime) != Dynamic
-                       && int(OtherDerived::CoeffReadCost) != Dynamic
-                       && int(Derived::SizeAtCompileTime) * int(OtherDerived::CoeffReadCost) <= int(UnrollingLimit),
-    MayUnrollInner      = int(InnerSize) != Dynamic
-                       && int(OtherDerived::CoeffReadCost) != Dynamic
-                       && int(InnerSize) * int(OtherDerived::CoeffReadCost) <= int(UnrollingLimit)
+    UnrollingLimit      = EIGEN_UNROLLING_LIMIT * (int(Vectorization) == int(NoVectorization) ? 1 : int(PacketSize)),
+    MayUnrollCompletely = int(Derived::SizeAtCompileTime) * int(OtherDerived::CoeffReadCost) <= int(UnrollingLimit),
+    MayUnrollInner      = int(InnerSize * OtherDerived::CoeffReadCost) <= int(UnrollingLimit)
  };

 public:
  enum {
-    Unrolling = (int(Traversal) == int(InnerVectorizedTraversal) || int(Traversal) == int(DefaultTraversal))
-                ? (
-                    int(MayUnrollCompletely) ? int(CompleteUnrolling)
-                  : int(MayUnrollInner)      ? int(InnerUnrolling)
-                                             : int(NoUnrolling)
-                  )
-              : int(Traversal) == int(LinearVectorizedTraversal)
-                ? ( bool(MayUnrollCompletely) && bool(DstIsAligned) ? int(CompleteUnrolling) : int(NoUnrolling) )
-              : int(Traversal) == int(LinearTraversal)
-                ? ( bool(MayUnrollCompletely) ? int(CompleteUnrolling) : int(NoUnrolling) )
+    Unrolling = (int(Vectorization) == int(InnerVectorization) || int(Vectorization) == int(NoVectorization))
+              ? (
+                   int(MayUnrollCompletely) ? int(CompleteUnrolling)
+                 : int(MayUnrollInner)      ? int(InnerUnrolling)
+                                            : int(NoUnrolling)
+                )
+              : int(Vectorization) == int(LinearVectorization)
+              ? ( int(MayUnrollCompletely) && int(DstIsAligned) ? int(CompleteUnrolling) : int(NoUnrolling) )
              : int(NoUnrolling)
  };
-
-#ifdef EIGEN_DEBUG_ASSIGN
-  static void debug()
-  {
-    EIGEN_DEBUG_VAR(DstIsAligned)
-    EIGEN_DEBUG_VAR(SrcIsAligned)
-    EIGEN_DEBUG_VAR(JointAlignment)
-    EIGEN_DEBUG_VAR(InnerSize)
-    EIGEN_DEBUG_VAR(InnerMaxSize)
-    EIGEN_DEBUG_VAR(PacketSize)
-    EIGEN_DEBUG_VAR(StorageOrdersAgree)
-    EIGEN_DEBUG_VAR(MightVectorize)
-    EIGEN_DEBUG_VAR(MayLinearize)
-    EIGEN_DEBUG_VAR(MayInnerVectorize)
-    EIGEN_DEBUG_VAR(MayLinearVectorize)
-    EIGEN_DEBUG_VAR(MaySliceVectorize)
-    EIGEN_DEBUG_VAR(Traversal)
-    EIGEN_DEBUG_VAR(UnrollingLimit)
-    EIGEN_DEBUG_VAR(MayUnrollCompletely)
-    EIGEN_DEBUG_VAR(MayUnrollInner)
-    EIGEN_DEBUG_VAR(Unrolling)
-  }
-#endif
 };

 /***************************************************************************
 * Part 2 : meta-unrollers
 ***************************************************************************/

-/************************
-*** Default traversal ***
-************************/
-
-template<typename Derived1, typename Derived2, int Index, int Stop>
-struct assign_DefaultTraversal_CompleteUnrolling
-{
-  enum {
-    outer = Index / Derived1::InnerSizeAtCompileTime,
-    inner = Index % Derived1::InnerSizeAtCompileTime
-  };
-
-  static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src)
-  {
-    dst.copyCoeffByOuterInner(outer, inner, src);
-    assign_DefaultTraversal_CompleteUnrolling<Derived1, Derived2, Index+1, Stop>::run(dst, src);
-  }
-};
-
-template<typename Derived1, typename Derived2, int Stop>
-struct assign_DefaultTraversal_CompleteUnrolling<Derived1, Derived2, Stop, Stop>
-{
-  static EIGEN_STRONG_INLINE void run(Derived1 &, const Derived2 &) {}
-};
-
-template<typename Derived1, typename Derived2, int Index, int Stop>
-struct assign_DefaultTraversal_InnerUnrolling
-{
-  static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src, int outer)
-  {
-    dst.copyCoeffByOuterInner(outer, Index, src);
-    assign_DefaultTraversal_InnerUnrolling<Derived1, Derived2, Index+1, Stop>::run(dst, src, outer);
-  }
-};
-
-template<typename Derived1, typename Derived2, int Stop>
-struct assign_DefaultTraversal_InnerUnrolling<Derived1, Derived2, Stop, Stop>
-{
-  static EIGEN_STRONG_INLINE void run(Derived1 &, const Derived2 &, int) {}
-};
-
 /***********************
-*** Linear traversal ***
+*** No vectorization ***
 ***********************/

 template<typename Derived1, typename Derived2, int Index, int Stop>
-struct assign_LinearTraversal_CompleteUnrolling
+struct ei_assign_novec_CompleteUnrolling
 {
-  static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src)
+  enum {
+    row = int(Derived1::Flags)&RowMajorBit
+        ? Index / int(Derived1::ColsAtCompileTime)
+        : Index % Derived1::RowsAtCompileTime,
+    col = int(Derived1::Flags)&RowMajorBit
+        ? Index % int(Derived1::ColsAtCompileTime)
+        : Index / Derived1::RowsAtCompileTime
+  };
+
+  EIGEN_STRONG_INLINE static void run(Derived1 &dst, const Derived2 &src)
  {
-    dst.copyCoeff(Index, src);
-    assign_LinearTraversal_CompleteUnrolling<Derived1, Derived2, Index+1, Stop>::run(dst, src);
+    dst.copyCoeff(row, col, src);
+    ei_assign_novec_CompleteUnrolling<Derived1, Derived2, Index+1, Stop>::run(dst, src);
  }
 };

 template<typename Derived1, typename Derived2, int Stop>
-struct assign_LinearTraversal_CompleteUnrolling<Derived1, Derived2, Stop, Stop>
+struct ei_assign_novec_CompleteUnrolling<Derived1, Derived2, Stop, Stop>
 {
-  static EIGEN_STRONG_INLINE void run(Derived1 &, const Derived2 &) {}
+  EIGEN_STRONG_INLINE static void run(Derived1 &, const Derived2 &) {}
+};
+
+template<typename Derived1, typename Derived2, int Index, int Stop>
+struct ei_assign_novec_InnerUnrolling
+{
+  EIGEN_STRONG_INLINE static void run(Derived1 &dst, const Derived2 &src, int row_or_col)
+  {
+    const bool rowMajor = int(Derived1::Flags)&RowMajorBit;
+    const int row = rowMajor ? row_or_col : Index;
+    const int col = rowMajor ? Index : row_or_col;
+    dst.copyCoeff(row, col, src);
+    ei_assign_novec_InnerUnrolling<Derived1, Derived2, Index+1, Stop>::run(dst, src, row_or_col);
+  }
+};
+
+template<typename Derived1, typename Derived2, int Stop>
+struct ei_assign_novec_InnerUnrolling<Derived1, Derived2, Stop, Stop>
+{
+  EIGEN_STRONG_INLINE static void run(Derived1 &, const Derived2 &, int) {}
 };

 /**************************
@@ -208,43 +149,49 @@ struct assign_LinearTraversal_CompleteUnrolling<Derived1, Derived2, Stop, Stop>
 **************************/

 template<typename Derived1, typename Derived2, int Index, int Stop>
-struct assign_innervec_CompleteUnrolling
+struct ei_assign_innervec_CompleteUnrolling
 {
  enum {
-    outer = Index / Derived1::InnerSizeAtCompileTime,
-    inner = Index % Derived1::InnerSizeAtCompileTime,
-    JointAlignment = assign_traits<Derived1,Derived2>::JointAlignment
+    row = int(Derived1::Flags)&RowMajorBit
+        ? Index / int(Derived1::ColsAtCompileTime)
+        : Index % Derived1::RowsAtCompileTime,
+    col = int(Derived1::Flags)&RowMajorBit
+        ? Index % int(Derived1::ColsAtCompileTime)
+        : Index / Derived1::RowsAtCompileTime,
+    SrcAlignment = ei_assign_traits<Derived1,Derived2>::SrcAlignment
  };

-  static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src)
+  EIGEN_STRONG_INLINE static void run(Derived1 &dst, const Derived2 &src)
  {
-    dst.template copyPacketByOuterInner<Derived2, Aligned, JointAlignment>(outer, inner, src);
-    assign_innervec_CompleteUnrolling<Derived1, Derived2,
-      Index+packet_traits<typename Derived1::Scalar>::size, Stop>::run(dst, src);
+    dst.template copyPacket<Derived2, Aligned, SrcAlignment>(row, col, src);
+    ei_assign_innervec_CompleteUnrolling<Derived1, Derived2,
+      Index+ei_packet_traits<typename Derived1::Scalar>::size, Stop>::run(dst, src);
  }
 };

 template<typename Derived1, typename Derived2, int Stop>
-struct assign_innervec_CompleteUnrolling<Derived1, Derived2, Stop, Stop>
+struct ei_assign_innervec_CompleteUnrolling<Derived1, Derived2, Stop, Stop>
 {
-  static EIGEN_STRONG_INLINE void run(Derived1 &, const Derived2 &) {}
+  EIGEN_STRONG_INLINE static void run(Derived1 &, const Derived2 &) {}
 };

 template<typename Derived1, typename Derived2, int Index, int Stop>
-struct assign_innervec_InnerUnrolling
+struct ei_assign_innervec_InnerUnrolling
 {
-  static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src, int outer)
+  EIGEN_STRONG_INLINE static void run(Derived1 &dst, const Derived2 &src, int row_or_col)
  {
-    dst.template copyPacketByOuterInner<Derived2, Aligned, Aligned>(outer, Index, src);
-    assign_innervec_InnerUnrolling<Derived1, Derived2,
-      Index+packet_traits<typename Derived1::Scalar>::size, Stop>::run(dst, src, outer);
+    const int row = int(Derived1::Flags)&RowMajorBit ? row_or_col : Index;
+    const int col = int(Derived1::Flags)&RowMajorBit ? Index : row_or_col;
+    dst.template copyPacket<Derived2, Aligned, Aligned>(row, col, src);
+    ei_assign_innervec_InnerUnrolling<Derived1, Derived2,
+      Index+ei_packet_traits<typename Derived1::Scalar>::size, Stop>::run(dst, src, row_or_col);
  }
 };

 template<typename Derived1, typename Derived2, int Stop>
-struct assign_innervec_InnerUnrolling<Derived1, Derived2, Stop, Stop>
+struct ei_assign_innervec_InnerUnrolling<Derived1, Derived2, Stop, Stop>
 {
-  static EIGEN_STRONG_INLINE void run(Derived1 &, const Derived2 &, int) {}
+  EIGEN_STRONG_INLINE static void run(Derived1 &, const Derived2 &, int) {}
 };

 /***************************************************************************
@@ -252,123 +199,100 @@ struct assign_innervec_InnerUnrolling<Derived1, Derived2, Stop, Stop>
 ***************************************************************************/

 template<typename Derived1, typename Derived2,
-         int Traversal = assign_traits<Derived1, Derived2>::Traversal,
-         int Unrolling = assign_traits<Derived1, Derived2>::Unrolling,
-         int Version = Specialized>
-struct assign_impl;
-
-/************************
-*** Default traversal ***
-************************/
-
-template<typename Derived1, typename Derived2, int Unrolling, int Version>
-struct assign_impl<Derived1, Derived2, InvalidTraversal, Unrolling, Version>
-{
-  static inline void run(Derived1 &, const Derived2 &) { }
-};
-
-template<typename Derived1, typename Derived2, int Version>
-struct assign_impl<Derived1, Derived2, DefaultTraversal, NoUnrolling, Version>
-{
-  typedef typename Derived1::Index Index;
-  static inline void run(Derived1 &dst, const Derived2 &src)
-  {
-    const Index innerSize = dst.innerSize();
-    const Index outerSize = dst.outerSize();
-    for(Index outer = 0; outer < outerSize; ++outer)
-      for(Index inner = 0; inner < innerSize; ++inner)
-        dst.copyCoeffByOuterInner(outer, inner, src);
-  }
-};
-
-template<typename Derived1, typename Derived2, int Version>
-struct assign_impl<Derived1, Derived2, DefaultTraversal, CompleteUnrolling, Version>
-{
-  static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src)
-  {
-    assign_DefaultTraversal_CompleteUnrolling<Derived1, Derived2, 0, Derived1::SizeAtCompileTime>
-      ::run(dst, src);
-  }
-};
-
-template<typename Derived1, typename Derived2, int Version>
-struct assign_impl<Derived1, Derived2, DefaultTraversal, InnerUnrolling, Version>
-{
-  typedef typename Derived1::Index Index;
-  static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src)
-  {
-    const Index outerSize = dst.outerSize();
-    for(Index outer = 0; outer < outerSize; ++outer)
-      assign_DefaultTraversal_InnerUnrolling<Derived1, Derived2, 0, Derived1::InnerSizeAtCompileTime>
-        ::run(dst, src, outer);
-  }
-};
+         int Vectorization = ei_assign_traits<Derived1, Derived2>::Vectorization,
+         int Unrolling = ei_assign_traits<Derived1, Derived2>::Unrolling>
+struct ei_assign_impl;

 /***********************
-*** Linear traversal ***
+*** No vectorization ***
 ***********************/

-template<typename Derived1, typename Derived2, int Version>
-struct assign_impl<Derived1, Derived2, LinearTraversal, NoUnrolling, Version>
+template<typename Derived1, typename Derived2>
+struct ei_assign_impl<Derived1, Derived2, NoVectorization, NoUnrolling>
 {
-  typedef typename Derived1::Index Index;
-  static inline void run(Derived1 &dst, const Derived2 &src)
+  inline static void run(Derived1 &dst, const Derived2 &src)
  {
-    const Index size = dst.size();
-    for(Index i = 0; i < size; ++i)
-      dst.copyCoeff(i, src);
+    const int innerSize = dst.innerSize();
+    const int outerSize = dst.outerSize();
+    for(int j = 0; j < outerSize; ++j)
+      for(int i = 0; i < innerSize; ++i)
+      {
+        if(int(Derived1::Flags)&RowMajorBit)
+          dst.copyCoeff(j, i, src);
+        else
+          dst.copyCoeff(i, j, src);
+      }
  }
 };

-template<typename Derived1, typename Derived2, int Version>
-struct assign_impl<Derived1, Derived2, LinearTraversal, CompleteUnrolling, Version>
+template<typename Derived1, typename Derived2>
+struct ei_assign_impl<Derived1, Derived2, NoVectorization, CompleteUnrolling>
 {
-  static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src)
+  EIGEN_STRONG_INLINE static void run(Derived1 &dst, const Derived2 &src)
  {
-    assign_LinearTraversal_CompleteUnrolling<Derived1, Derived2, 0, Derived1::SizeAtCompileTime>
+    ei_assign_novec_CompleteUnrolling<Derived1, Derived2, 0, Derived1::SizeAtCompileTime>
      ::run(dst, src);
  }
 };

+template<typename Derived1, typename Derived2>
+struct ei_assign_impl<Derived1, Derived2, NoVectorization, InnerUnrolling>
+{
+  EIGEN_STRONG_INLINE static void run(Derived1 &dst, const Derived2 &src)
+  {
+    const bool rowMajor = int(Derived1::Flags)&RowMajorBit;
+    const int innerSize = rowMajor ? Derived1::ColsAtCompileTime : Derived1::RowsAtCompileTime;
+    const int outerSize = dst.outerSize();
+    for(int j = 0; j < outerSize; ++j)
+      ei_assign_novec_InnerUnrolling<Derived1, Derived2, 0, innerSize>
+        ::run(dst, src, j);
+  }
+};
+
 /**************************
 *** Inner vectorization ***
 **************************/

-template<typename Derived1, typename Derived2, int Version>
-struct assign_impl<Derived1, Derived2, InnerVectorizedTraversal, NoUnrolling, Version>
+template<typename Derived1, typename Derived2>
+struct ei_assign_impl<Derived1, Derived2, InnerVectorization, NoUnrolling>
 {
-  typedef typename Derived1::Index Index;
-  static inline void run(Derived1 &dst, const Derived2 &src)
+  inline static void run(Derived1 &dst, const Derived2 &src)
  {
-    const Index innerSize = dst.innerSize();
-    const Index outerSize = dst.outerSize();
-    const Index packetSize = packet_traits<typename Derived1::Scalar>::size;
-    for(Index outer = 0; outer < outerSize; ++outer)
-      for(Index inner = 0; inner < innerSize; inner+=packetSize)
-        dst.template copyPacketByOuterInner<Derived2, Aligned, Aligned>(outer, inner, src);
+    const int innerSize = dst.innerSize();
+    const int outerSize = dst.outerSize();
+    const int packetSize = ei_packet_traits<typename Derived1::Scalar>::size;
+    for(int j = 0; j < outerSize; ++j)
+      for(int i = 0; i < innerSize; i+=packetSize)
+      {
+        if(int(Derived1::Flags)&RowMajorBit)
+          dst.template copyPacket<Derived2, Aligned, Aligned>(j, i, src);
+        else
+          dst.template copyPacket<Derived2, Aligned, Aligned>(i, j, src);
+      }
  }
 };

-template<typename Derived1, typename Derived2, int Version>
-struct assign_impl<Derived1, Derived2, InnerVectorizedTraversal, CompleteUnrolling, Version>
+template<typename Derived1, typename Derived2>
+struct ei_assign_impl<Derived1, Derived2, InnerVectorization, CompleteUnrolling>
 {
-  static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src)
+  EIGEN_STRONG_INLINE static void run(Derived1 &dst, const Derived2 &src)
  {
-    assign_innervec_CompleteUnrolling<Derived1, Derived2, 0, Derived1::SizeAtCompileTime>
+    ei_assign_innervec_CompleteUnrolling<Derived1, Derived2, 0, Derived1::SizeAtCompileTime>
      ::run(dst, src);
  }
 };

-template<typename Derived1, typename Derived2, int Version>
-struct assign_impl<Derived1, Derived2, InnerVectorizedTraversal, InnerUnrolling, Version>
+template<typename Derived1, typename Derived2>
+struct ei_assign_impl<Derived1, Derived2, InnerVectorization, InnerUnrolling>
 {
-  typedef typename Derived1::Index Index;
-  static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src)
+  EIGEN_STRONG_INLINE static void run(Derived1 &dst, const Derived2 &src)
  {
-    const Index outerSize = dst.outerSize();
-    for(Index outer = 0; outer < outerSize; ++outer)
-      assign_innervec_InnerUnrolling<Derived1, Derived2, 0, Derived1::InnerSizeAtCompileTime>
-        ::run(dst, src, outer);
+    const bool rowMajor = int(Derived1::Flags)&RowMajorBit;
+    const int innerSize = rowMajor ? Derived1::ColsAtCompileTime : Derived1::RowsAtCompileTime;
+    const int outerSize = dst.outerSize();
+    for(int j = 0; j < outerSize; ++j)
+      ei_assign_innervec_InnerUnrolling<Derived1, Derived2, 0, innerSize>
+        ::run(dst, src, j);
  }
 };

@@ -376,71 +300,41 @@ struct assign_impl<Derived1, Derived2, InnerVectorizedTraversal, InnerUnrolling,
 *** Linear vectorization ***
 ***************************/

-template <bool IsAligned = false>
-struct unaligned_assign_impl
+template<typename Derived1, typename Derived2>
+struct ei_assign_impl<Derived1, Derived2, LinearVectorization, NoUnrolling>
 {
-  template <typename Derived, typename OtherDerived>
-  static EIGEN_STRONG_INLINE void run(const Derived&, OtherDerived&, typename Derived::Index, typename Derived::Index) {}
-};
-
-template <>
-struct unaligned_assign_impl<false>
-{
-  // MSVC must not inline this functions. If it does, it fails to optimize the
-  // packet access path.
-#ifdef _MSC_VER
-  template <typename Derived, typename OtherDerived>
-  static EIGEN_DONT_INLINE void run(const Derived& src, OtherDerived& dst, typename Derived::Index start, typename Derived::Index end)
-#else
-  template <typename Derived, typename OtherDerived>
-  static EIGEN_STRONG_INLINE void run(const Derived& src, OtherDerived& dst, typename Derived::Index start, typename Derived::Index end)
-#endif
+  inline static void run(Derived1 &dst, const Derived2 &src)
  {
-    for (typename Derived::Index index = start; index < end; ++index)
+    const int size = dst.size();
+    const int packetSize = ei_packet_traits<typename Derived1::Scalar>::size;
+    const int alignedStart = ei_assign_traits<Derived1,Derived2>::DstIsAligned ? 0
+                           : ei_alignmentOffset(&dst.coeffRef(0), size);
+    const int alignedEnd = alignedStart + ((size-alignedStart)/packetSize)*packetSize;
+
+    for(int index = 0; index < alignedStart; ++index)
+      dst.copyCoeff(index, src);
+
+    for(int index = alignedStart; index < alignedEnd; index += packetSize)
+    {
+      dst.template copyPacket<Derived2, Aligned, ei_assign_traits<Derived1,Derived2>::SrcAlignment>(index, src);
+    }
+
+    for(int index = alignedEnd; index < size; ++index)
      dst.copyCoeff(index, src);
  }
 };

-template<typename Derived1, typename Derived2, int Version>
-struct assign_impl<Derived1, Derived2, LinearVectorizedTraversal, NoUnrolling, Version>
+template<typename Derived1, typename Derived2>
+struct ei_assign_impl<Derived1, Derived2, LinearVectorization, CompleteUnrolling>
 {
-  typedef typename Derived1::Index Index;
-  static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src)
+  EIGEN_STRONG_INLINE static void run(Derived1 &dst, const Derived2 &src)
  {
-    const Index size = dst.size();
-    typedef packet_traits<typename Derived1::Scalar> PacketTraits;
-    enum {
-      packetSize = PacketTraits::size,
-      dstAlignment = PacketTraits::AlignedOnScalar ? Aligned : int(assign_traits<Derived1,Derived2>::DstIsAligned) ,
-      srcAlignment = assign_traits<Derived1,Derived2>::JointAlignment
-    };
-    const Index alignedStart = assign_traits<Derived1,Derived2>::DstIsAligned ? 0
-                             : internal::first_aligned(&dst.coeffRef(0), size);
-    const Index alignedEnd = alignedStart + ((size-alignedStart)/packetSize)*packetSize;
+    const int size = Derived1::SizeAtCompileTime;
+    const int packetSize = ei_packet_traits<typename Derived1::Scalar>::size;
+    const int alignedSize = (size/packetSize)*packetSize;

-    unaligned_assign_impl<assign_traits<Derived1,Derived2>::DstIsAligned!=0>::run(src,dst,0,alignedStart);
-
-    for(Index index = alignedStart; index < alignedEnd; index += packetSize)
-    {
-      dst.template copyPacket<Derived2, dstAlignment, srcAlignment>(index, src);
-    }
-
-    unaligned_assign_impl<>::run(src,dst,alignedEnd,size);
-  }
-};
-
-template<typename Derived1, typename Derived2, int Version>
-struct assign_impl<Derived1, Derived2, LinearVectorizedTraversal, CompleteUnrolling, Version>
-{
-  typedef typename Derived1::Index Index;
-  static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src)
-  {
-    enum { size = Derived1::SizeAtCompileTime,
-           packetSize = packet_traits<typename Derived1::Scalar>::size,
-           alignedSize = (size/packetSize)*packetSize };
-
-    assign_innervec_CompleteUnrolling<Derived1, Derived2, 0, alignedSize>::run(dst, src);
-    assign_DefaultTraversal_CompleteUnrolling<Derived1, Derived2, alignedSize, size>::run(dst, src);
+    ei_assign_innervec_CompleteUnrolling<Derived1, Derived2, 0, alignedSize>::run(dst, src);
+    ei_assign_novec_CompleteUnrolling<Derived1, Derived2, alignedSize, size>::run(dst, src);
  }
 };

@@ -448,151 +342,104 @@ struct assign_impl<Derived1, Derived2, LinearVectorizedTraversal, CompleteUnroll
 *** Slice vectorization ***
 ***************************/

-template<typename Derived1, typename Derived2, int Version>
-struct assign_impl<Derived1, Derived2, SliceVectorizedTraversal, NoUnrolling, Version>
+template<typename Derived1, typename Derived2>
+struct ei_assign_impl<Derived1, Derived2, SliceVectorization, NoUnrolling>
 {
-  typedef typename Derived1::Index Index;
-  static inline void run(Derived1 &dst, const Derived2 &src)
+  inline static void run(Derived1 &dst, const Derived2 &src)
  {
-    typedef packet_traits<typename Derived1::Scalar> PacketTraits;
-    enum {
-      packetSize = PacketTraits::size,
-      alignable = PacketTraits::AlignedOnScalar,
-      dstAlignment = alignable ? Aligned : int(assign_traits<Derived1,Derived2>::DstIsAligned) ,
-      srcAlignment = assign_traits<Derived1,Derived2>::JointAlignment
-    };
-    const Index packetAlignedMask = packetSize - 1;
-    const Index innerSize = dst.innerSize();
-    const Index outerSize = dst.outerSize();
-    const Index alignedStep = alignable ? (packetSize - dst.outerStride() % packetSize) & packetAlignedMask : 0;
-    Index alignedStart = ((!alignable) || assign_traits<Derived1,Derived2>::DstIsAligned) ? 0
-                       : internal::first_aligned(&dst.coeffRef(0,0), innerSize);
+    const int packetSize = ei_packet_traits<typename Derived1::Scalar>::size;
+    const int packetAlignedMask = packetSize - 1;
+    const int innerSize = dst.innerSize();
+    const int outerSize = dst.outerSize();
+    const int alignedStep = (packetSize - dst.stride() % packetSize) & packetAlignedMask;
+    int alignedStart = ei_assign_traits<Derived1,Derived2>::DstIsAligned ? 0
+                     : ei_alignmentOffset(&dst.coeffRef(0,0), innerSize);

-    for(Index outer = 0; outer < outerSize; ++outer)
+    for(int i = 0; i < outerSize; ++i)
    {
-      const Index alignedEnd = alignedStart + ((innerSize-alignedStart) & ~packetAlignedMask);
+      const int alignedEnd = alignedStart + ((innerSize-alignedStart) & ~packetAlignedMask);
+
      // do the non-vectorizable part of the assignment
-      for(Index inner = 0; inner<alignedStart ; ++inner)
-        dst.copyCoeffByOuterInner(outer, inner, src);
+      for (int index = 0; index<alignedStart ; ++index)
+      {
+        if(Derived1::Flags&RowMajorBit)
+          dst.copyCoeff(i, index, src);
+        else
+          dst.copyCoeff(index, i, src);
+      }

      // do the vectorizable part of the assignment
-      for(Index inner = alignedStart; inner<alignedEnd; inner+=packetSize)
-        dst.template copyPacketByOuterInner<Derived2, dstAlignment, Unaligned>(outer, inner, src);
+      for (int index = alignedStart; index<alignedEnd; index+=packetSize)
+      {
+        if(Derived1::Flags&RowMajorBit)
+          dst.template copyPacket<Derived2, Aligned, Unaligned>(i, index, src);
+        else
+          dst.template copyPacket<Derived2, Aligned, Unaligned>(index, i, src);
+      }

      // do the non-vectorizable part of the assignment
-      for(Index inner = alignedEnd; inner<innerSize ; ++inner)
-        dst.copyCoeffByOuterInner(outer, inner, src);
+      for (int index = alignedEnd; index<innerSize ; ++index)
+      {
+        if(Derived1::Flags&RowMajorBit)
+          dst.copyCoeff(i, index, src);
+        else
+          dst.copyCoeff(index, i, src);
+      }

-      alignedStart = std::min<Index>((alignedStart+alignedStep)%packetSize, innerSize);
+      alignedStart = std::min<int>((alignedStart+alignedStep)%packetSize, innerSize);
    }
  }
 };

-} // end namespace internal
-
 /***************************************************************************
-* Part 4 : implementation of DenseBase methods
+* Part 4 : implementation of MatrixBase methods
 ***************************************************************************/

 template<typename Derived>
 template<typename OtherDerived>
-EIGEN_STRONG_INLINE Derived& DenseBase<Derived>
-  ::lazyAssign(const DenseBase<OtherDerived>& other)
+EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>
+  ::lazyAssign(const MatrixBase<OtherDerived>& other)
 {
-  enum{
-    SameType = internal::is_same<typename Derived::Scalar,typename OtherDerived::Scalar>::value
-  };
-
-  EIGEN_STATIC_ASSERT_LVALUE(Derived)
  EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Derived,OtherDerived)
-  EIGEN_STATIC_ASSERT(SameType,YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
-
-#ifdef EIGEN_DEBUG_ASSIGN
-  internal::assign_traits<Derived, OtherDerived>::debug();
-#endif
-  eigen_assert(rows() == other.rows() && cols() == other.cols());
-  internal::assign_impl<Derived, OtherDerived, int(SameType) ? int(internal::assign_traits<Derived, OtherDerived>::Traversal)
-                                                       : int(InvalidTraversal)>::run(derived(),other.derived());
-#ifndef EIGEN_NO_DEBUG
-  checkTransposeAliasing(other.derived());
-#endif
+  EIGEN_STATIC_ASSERT((ei_is_same_type<typename Derived::Scalar, typename OtherDerived::Scalar>::ret),
+    YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
+  ei_assert(rows() == other.rows() && cols() == other.cols());
+  ei_assign_impl<Derived, OtherDerived>::run(derived(),other.derived());
  return derived();
 }

-namespace internal {
-
 template<typename Derived, typename OtherDerived,
         bool EvalBeforeAssigning = (int(OtherDerived::Flags) & EvalBeforeAssigningBit) != 0,
         bool NeedToTranspose = Derived::IsVectorAtCompileTime
                && OtherDerived::IsVectorAtCompileTime
-                && ((int(Derived::RowsAtCompileTime) == 1 && int(OtherDerived::ColsAtCompileTime) == 1)
-                      |  // FIXME | instead of || to please GCC 4.4.0 stupid warning "suggest parentheses around &&".
-                         // revert to || as soon as not needed anymore.
-                    (int(Derived::ColsAtCompileTime) == 1 && int(OtherDerived::RowsAtCompileTime) == 1))
+                && int(Derived::RowsAtCompileTime) == int(OtherDerived::ColsAtCompileTime)
+                && int(Derived::ColsAtCompileTime) == int(OtherDerived::RowsAtCompileTime)
                && int(Derived::SizeAtCompileTime) != 1>
-struct assign_selector;
+struct ei_assign_selector;

 template<typename Derived, typename OtherDerived>
-struct assign_selector<Derived,OtherDerived,false,false> {
-  static EIGEN_STRONG_INLINE Derived& run(Derived& dst, const OtherDerived& other) { return dst.lazyAssign(other.derived()); }
+struct ei_assign_selector<Derived,OtherDerived,false,false> {
+  EIGEN_STRONG_INLINE static Derived& run(Derived& dst, const OtherDerived& other) { return dst.lazyAssign(other.derived()); }
 };
 template<typename Derived, typename OtherDerived>
-struct assign_selector<Derived,OtherDerived,true,false> {
-  static EIGEN_STRONG_INLINE Derived& run(Derived& dst, const OtherDerived& other) { return dst.lazyAssign(other.eval()); }
+struct ei_assign_selector<Derived,OtherDerived,true,false> {
+  EIGEN_STRONG_INLINE static Derived& run(Derived& dst, const OtherDerived& other) { return dst.lazyAssign(other.eval()); }
 };
 template<typename Derived, typename OtherDerived>
-struct assign_selector<Derived,OtherDerived,false,true> {
-  static EIGEN_STRONG_INLINE Derived& run(Derived& dst, const OtherDerived& other) { return dst.lazyAssign(other.transpose()); }
+struct ei_assign_selector<Derived,OtherDerived,false,true> {
+  EIGEN_STRONG_INLINE static Derived& run(Derived& dst, const OtherDerived& other) { return dst.lazyAssign(other.transpose()); }
 };
 template<typename Derived, typename OtherDerived>
-struct assign_selector<Derived,OtherDerived,true,true> {
-  static EIGEN_STRONG_INLINE Derived& run(Derived& dst, const OtherDerived& other) { return dst.lazyAssign(other.transpose().eval()); }
+struct ei_assign_selector<Derived,OtherDerived,true,true> {
+  EIGEN_STRONG_INLINE static Derived& run(Derived& dst, const OtherDerived& other) { return dst.lazyAssign(other.transpose().eval()); }
 };

-} // end namespace internal
-
 template<typename Derived>
 template<typename OtherDerived>
-EIGEN_STRONG_INLINE Derived& DenseBase<Derived>::operator=(const DenseBase<OtherDerived>& other)
+EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>
+  ::operator=(const MatrixBase<OtherDerived>& other)
 {
-  return internal::assign_selector<Derived,OtherDerived>::run(derived(), other.derived());
+  return ei_assign_selector<Derived,OtherDerived>::run(derived(), other.derived());
 }

-template<typename Derived>
-EIGEN_STRONG_INLINE Derived& DenseBase<Derived>::operator=(const DenseBase& other)
-{
-  return internal::assign_selector<Derived,Derived>::run(derived(), other.derived());
-}
-
-template<typename Derived>
-EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>::operator=(const MatrixBase& other)
-{
-  return internal::assign_selector<Derived,Derived>::run(derived(), other.derived());
-}
-
-template<typename Derived>
-template <typename OtherDerived>
-EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>::operator=(const DenseBase<OtherDerived>& other)
-{
-  return internal::assign_selector<Derived,OtherDerived>::run(derived(), other.derived());
-}
-
-template<typename Derived>
-template <typename OtherDerived>
-EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>::operator=(const EigenBase<OtherDerived>& other)
-{
-  other.derived().evalTo(derived());
-  return derived();
-}
-
-template<typename Derived>
-template<typename OtherDerived>
-EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>::operator=(const ReturnByValue<OtherDerived>& other)
-{
-  other.evalTo(derived());
-  return derived();
-}
-
-} // end namespace Eigen
-
 #endif // EIGEN_ASSIGN_H
--- a/Eigen/src/Core/Assign_MKL.h
+++ b/Eigen/src/Core/Assign_MKL.h
@@ -1,224 +0,0 @@
-/*
- Copyright (c) 2011, Intel Corporation. All rights reserved.
-
- Redistribution and use in source and binary forms, with or without modification,
- are permitted provided that the following conditions are met:
-
- * Redistributions of source code must retain the above copyright notice, this
-   list of conditions and the following disclaimer.
- * Redistributions in binary form must reproduce the above copyright notice,
-   this list of conditions and the following disclaimer in the documentation
-   and/or other materials provided with the distribution.
- * Neither the name of Intel Corporation nor the names of its contributors may
-   be used to endorse or promote products derived from this software without
-   specific prior written permission.
-
- THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
- ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
- WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
- DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
- ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
- (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
- LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
- ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
- (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
- SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
-
- ********************************************************************************
- *   Content : Eigen bindings to Intel(R) MKL
- *   MKL VML support for coefficient-wise unary Eigen expressions like a=b.sin()
- ********************************************************************************
-*/
-
-#ifndef EIGEN_ASSIGN_VML_H
-#define EIGEN_ASSIGN_VML_H
-
-namespace Eigen { 
-
-namespace internal {
-
-template<typename Op> struct vml_call
-{ enum { IsSupported = 0 }; };
-
-template<typename Dst, typename Src, typename UnaryOp>
-class vml_assign_traits
-{
-  private:
-    enum {
-      DstHasDirectAccess = Dst::Flags & DirectAccessBit,
-      SrcHasDirectAccess = Src::Flags & DirectAccessBit,
-
-      StorageOrdersAgree = (int(Dst::IsRowMajor) == int(Src::IsRowMajor)),
-      InnerSize = int(Dst::IsVectorAtCompileTime) ? int(Dst::SizeAtCompileTime)
-                : int(Dst::Flags)&RowMajorBit ? int(Dst::ColsAtCompileTime)
-                : int(Dst::RowsAtCompileTime),
-      InnerMaxSize  = int(Dst::IsVectorAtCompileTime) ? int(Dst::MaxSizeAtCompileTime)
-                    : int(Dst::Flags)&RowMajorBit ? int(Dst::MaxColsAtCompileTime)
-                    : int(Dst::MaxRowsAtCompileTime),
-      MaxSizeAtCompileTime = Dst::SizeAtCompileTime,
-
-      MightEnableVml =  vml_call<UnaryOp>::IsSupported && StorageOrdersAgree && DstHasDirectAccess && SrcHasDirectAccess
-                     && Src::InnerStrideAtCompileTime==1 && Dst::InnerStrideAtCompileTime==1,
-      MightLinearize = MightEnableVml && (int(Dst::Flags) & int(Src::Flags) & LinearAccessBit),
-      VmlSize = MightLinearize ? MaxSizeAtCompileTime : InnerMaxSize,
-      LargeEnough = VmlSize==Dynamic || VmlSize>=EIGEN_MKL_VML_THRESHOLD,
-      MayEnableVml = MightEnableVml && LargeEnough,
-      MayLinearize = MayEnableVml && MightLinearize
-    };
-  public:
-    enum {
-      Traversal = MayLinearize ? LinearVectorizedTraversal
-                : MayEnableVml ? InnerVectorizedTraversal
-                : DefaultTraversal
-    };
-};
-
-template<typename Derived1, typename Derived2, typename UnaryOp, int Traversal, int Unrolling,
-         int VmlTraversal = vml_assign_traits<Derived1, Derived2, UnaryOp>::Traversal >
-struct vml_assign_impl
-  : assign_impl<Derived1, Eigen::CwiseUnaryOp<UnaryOp, Derived2>,Traversal,Unrolling,BuiltIn>
-{
-};
-
-template<typename Derived1, typename Derived2, typename UnaryOp, int Traversal, int Unrolling>
-struct vml_assign_impl<Derived1, Derived2, UnaryOp, Traversal, Unrolling, InnerVectorizedTraversal>
-{
-  typedef typename Derived1::Scalar Scalar;
-  typedef typename Derived1::Index Index;
-  static inline void run(Derived1& dst, const CwiseUnaryOp<UnaryOp, Derived2>& src)
-  {
-    // in case we want to (or have to) skip VML at runtime we can call:
-    // assign_impl<Derived1,Eigen::CwiseUnaryOp<UnaryOp, Derived2>,Traversal,Unrolling,BuiltIn>::run(dst,src);
-    const Index innerSize = dst.innerSize();
-    const Index outerSize = dst.outerSize();
-    for(Index outer = 0; outer < outerSize; ++outer) {
-      const Scalar *src_ptr = src.IsRowMajor ?  &(src.nestedExpression().coeffRef(outer,0)) :
-                                                &(src.nestedExpression().coeffRef(0, outer));
-      Scalar *dst_ptr = dst.IsRowMajor ? &(dst.coeffRef(outer,0)) : &(dst.coeffRef(0, outer));
-      vml_call<UnaryOp>::run(src.functor(), innerSize, src_ptr, dst_ptr );
-    }
-  }
-};
-
-template<typename Derived1, typename Derived2, typename UnaryOp, int Traversal, int Unrolling>
-struct vml_assign_impl<Derived1, Derived2, UnaryOp, Traversal, Unrolling, LinearVectorizedTraversal>
-{
-  static inline void run(Derived1& dst, const CwiseUnaryOp<UnaryOp, Derived2>& src)
-  {
-    // in case we want to (or have to) skip VML at runtime we can call:
-    // assign_impl<Derived1,Eigen::CwiseUnaryOp<UnaryOp, Derived2>,Traversal,Unrolling,BuiltIn>::run(dst,src);
-    vml_call<UnaryOp>::run(src.functor(), dst.size(), src.nestedExpression().data(), dst.data() );
-  }
-};
-
-// Macroses
-
-#define EIGEN_MKL_VML_SPECIALIZE_ASSIGN(TRAVERSAL,UNROLLING) \
-  template<typename Derived1, typename Derived2, typename UnaryOp> \
-  struct assign_impl<Derived1, Eigen::CwiseUnaryOp<UnaryOp, Derived2>, TRAVERSAL, UNROLLING, Specialized>  {  \
-    static inline void run(Derived1 &dst, const Eigen::CwiseUnaryOp<UnaryOp, Derived2> &src) { \
-      vml_assign_impl<Derived1,Derived2,UnaryOp,TRAVERSAL,UNROLLING>::run(dst, src); \
-    } \
-  };
-
-EIGEN_MKL_VML_SPECIALIZE_ASSIGN(DefaultTraversal,NoUnrolling)
-EIGEN_MKL_VML_SPECIALIZE_ASSIGN(DefaultTraversal,CompleteUnrolling)
-EIGEN_MKL_VML_SPECIALIZE_ASSIGN(DefaultTraversal,InnerUnrolling)
-EIGEN_MKL_VML_SPECIALIZE_ASSIGN(LinearTraversal,NoUnrolling)
-EIGEN_MKL_VML_SPECIALIZE_ASSIGN(LinearTraversal,CompleteUnrolling)
-EIGEN_MKL_VML_SPECIALIZE_ASSIGN(InnerVectorizedTraversal,NoUnrolling)
-EIGEN_MKL_VML_SPECIALIZE_ASSIGN(InnerVectorizedTraversal,CompleteUnrolling)
-EIGEN_MKL_VML_SPECIALIZE_ASSIGN(InnerVectorizedTraversal,InnerUnrolling)
-EIGEN_MKL_VML_SPECIALIZE_ASSIGN(LinearVectorizedTraversal,CompleteUnrolling)
-EIGEN_MKL_VML_SPECIALIZE_ASSIGN(LinearVectorizedTraversal,NoUnrolling)
-EIGEN_MKL_VML_SPECIALIZE_ASSIGN(SliceVectorizedTraversal,NoUnrolling)
-
-
-#if !defined (EIGEN_FAST_MATH) || (EIGEN_FAST_MATH != 1)
-#define  EIGEN_MKL_VML_MODE VML_HA
-#else
-#define  EIGEN_MKL_VML_MODE VML_LA
-#endif
-
-#define EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, VMLOP, EIGENTYPE, VMLTYPE)     \
-  template<> struct vml_call< scalar_##EIGENOP##_op<EIGENTYPE> > {               \
-    enum { IsSupported = 1 };                                                    \
-    static inline void run( const scalar_##EIGENOP##_op<EIGENTYPE>& /*func*/,        \
-                            int size, const EIGENTYPE* src, EIGENTYPE* dst) {    \
-      VMLOP(size, (const VMLTYPE*)src, (VMLTYPE*)dst);                           \
-    }                                                                            \
-  };
-
-#define EIGEN_MKL_VML_DECLARE_UNARY_CALL_LA(EIGENOP, VMLOP, EIGENTYPE, VMLTYPE)  \
-  template<> struct vml_call< scalar_##EIGENOP##_op<EIGENTYPE> > {               \
-    enum { IsSupported = 1 };                                                    \
-    static inline void run( const scalar_##EIGENOP##_op<EIGENTYPE>& /*func*/,        \
-                            int size, const EIGENTYPE* src, EIGENTYPE* dst) {    \
-      MKL_INT64 vmlMode = EIGEN_MKL_VML_MODE;                                    \
-      VMLOP(size, (const VMLTYPE*)src, (VMLTYPE*)dst, vmlMode);                  \
-    }                                                                            \
-  };
-
-#define EIGEN_MKL_VML_DECLARE_POW_CALL(EIGENOP, VMLOP, EIGENTYPE, VMLTYPE)       \
-  template<> struct vml_call< scalar_##EIGENOP##_op<EIGENTYPE> > {               \
-    enum { IsSupported = 1 };                                                    \
-    static inline void run( const scalar_##EIGENOP##_op<EIGENTYPE>& func,        \
-                          int size, const EIGENTYPE* src, EIGENTYPE* dst) {      \
-      EIGENTYPE exponent = func.m_exponent;                                      \
-      MKL_INT64 vmlMode = EIGEN_MKL_VML_MODE;                                    \
-      VMLOP(&size, (const VMLTYPE*)src, (const VMLTYPE*)&exponent,               \
-                        (VMLTYPE*)dst, &vmlMode);                                \
-    }                                                                            \
-  };
-
-#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(EIGENOP, VMLOP)                   \
-  EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, vs##VMLOP, float, float)             \
-  EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, vd##VMLOP, double, double)
-
-#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS_COMPLEX(EIGENOP, VMLOP)                \
-  EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, vc##VMLOP, scomplex, MKL_Complex8)   \
-  EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, vz##VMLOP, dcomplex, MKL_Complex16)
-
-#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS(EIGENOP, VMLOP)                        \
-  EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(EIGENOP, VMLOP)                         \
-  EIGEN_MKL_VML_DECLARE_UNARY_CALLS_COMPLEX(EIGENOP, VMLOP)
-
-
-#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL_LA(EIGENOP, VMLOP)                \
-  EIGEN_MKL_VML_DECLARE_UNARY_CALL_LA(EIGENOP, vms##VMLOP, float, float)         \
-  EIGEN_MKL_VML_DECLARE_UNARY_CALL_LA(EIGENOP, vmd##VMLOP, double, double)
-
-#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS_COMPLEX_LA(EIGENOP, VMLOP)             \
-  EIGEN_MKL_VML_DECLARE_UNARY_CALL_LA(EIGENOP, vmc##VMLOP, scomplex, MKL_Complex8)  \
-  EIGEN_MKL_VML_DECLARE_UNARY_CALL_LA(EIGENOP, vmz##VMLOP, dcomplex, MKL_Complex16)
-
-#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(EIGENOP, VMLOP)                     \
-  EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL_LA(EIGENOP, VMLOP)                      \
-  EIGEN_MKL_VML_DECLARE_UNARY_CALLS_COMPLEX_LA(EIGENOP, VMLOP)
-
-
-EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(sin,  Sin)
-EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(asin, Asin)
-EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(cos,  Cos)
-EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(acos, Acos)
-EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(tan,  Tan)
-//EIGEN_MKL_VML_DECLARE_UNARY_CALLS(abs,  Abs)
-EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(exp,  Exp)
-EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(log,  Ln)
-EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(sqrt, Sqrt)
-
-EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(square, Sqr)
-
-// The vm*powx functions are not avaibale in the windows version of MKL.
-#ifdef _WIN32
-EIGEN_MKL_VML_DECLARE_POW_CALL(pow, vmspowx_, float, float)
-EIGEN_MKL_VML_DECLARE_POW_CALL(pow, vmdpowx_, double, double)
-EIGEN_MKL_VML_DECLARE_POW_CALL(pow, vmcpowx_, scomplex, MKL_Complex8)
-EIGEN_MKL_VML_DECLARE_POW_CALL(pow, vmzpowx_, dcomplex, MKL_Complex16)
-#endif
-
-} // end namespace internal
-
-} // end namespace Eigen
-
-#endif // EIGEN_ASSIGN_VML_H
--- a/Eigen/src/Core/BandMatrix.h
+++ b/Eigen/src/Core/BandMatrix.h
@@ -1,349 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
-//
-// Eigen is free software; you can redistribute it and/or
-// modify it under the terms of the GNU Lesser General Public
-// License as published by the Free Software Foundation; either
-// version 3 of the License, or (at your option) any later version.
-//
-// Alternatively, you can redistribute it and/or
-// modify it under the terms of the GNU General Public License as
-// published by the Free Software Foundation; either version 2 of
-// the License, or (at your option) any later version.
-//
-// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
-// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
-// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU Lesser General Public
-// License and a copy of the GNU General Public License along with
-// Eigen. If not, see <http://www.gnu.org/licenses/>.
-
-#ifndef EIGEN_BANDMATRIX_H
-#define EIGEN_BANDMATRIX_H
-
-namespace Eigen { 
-
-namespace internal {
-
-template<typename Derived>
-class BandMatrixBase : public EigenBase<Derived>
-{
-  public:
-
-    enum {
-      Flags = internal::traits<Derived>::Flags,
-      CoeffReadCost = internal::traits<Derived>::CoeffReadCost,
-      RowsAtCompileTime = internal::traits<Derived>::RowsAtCompileTime,
-      ColsAtCompileTime = internal::traits<Derived>::ColsAtCompileTime,
-      MaxRowsAtCompileTime = internal::traits<Derived>::MaxRowsAtCompileTime,
-      MaxColsAtCompileTime = internal::traits<Derived>::MaxColsAtCompileTime,
-      Supers = internal::traits<Derived>::Supers,
-      Subs   = internal::traits<Derived>::Subs,
-      Options = internal::traits<Derived>::Options
-    };
-    typedef typename internal::traits<Derived>::Scalar Scalar;
-    typedef Matrix<Scalar,RowsAtCompileTime,ColsAtCompileTime> DenseMatrixType;
-    typedef typename DenseMatrixType::Index Index;
-    typedef typename internal::traits<Derived>::CoefficientsType CoefficientsType;
-    typedef EigenBase<Derived> Base;
-
-  protected:
-    enum {
-      DataRowsAtCompileTime = ((Supers!=Dynamic) && (Subs!=Dynamic))
-                            ? 1 + Supers + Subs
-                            : Dynamic,
-      SizeAtCompileTime = EIGEN_SIZE_MIN_PREFER_DYNAMIC(RowsAtCompileTime,ColsAtCompileTime)
-    };
-
-  public:
-    
-    using Base::derived;
-    using Base::rows;
-    using Base::cols;
-
-    /** \returns the number of super diagonals */
-    inline Index supers() const { return derived().supers(); }
-
-    /** \returns the number of sub diagonals */
-    inline Index subs() const { return derived().subs(); }
-    
-    /** \returns an expression of the underlying coefficient matrix */
-    inline const CoefficientsType& coeffs() const { return derived().coeffs(); }
-    
-    /** \returns an expression of the underlying coefficient matrix */
-    inline CoefficientsType& coeffs() { return derived().coeffs(); }
-
-    /** \returns a vector expression of the \a i -th column,
-      * only the meaningful part is returned.
-      * \warning the internal storage must be column major. */
-    inline Block<CoefficientsType,Dynamic,1> col(Index i)
-    {
-      EIGEN_STATIC_ASSERT((Options&RowMajor)==0,THIS_METHOD_IS_ONLY_FOR_COLUMN_MAJOR_MATRICES);
-      Index start = 0;
-      Index len = coeffs().rows();
-      if (i<=supers())
-      {
-        start = supers()-i;
-        len = (std::min)(rows(),std::max<Index>(0,coeffs().rows() - (supers()-i)));
-      }
-      else if (i>=rows()-subs())
-        len = std::max<Index>(0,coeffs().rows() - (i + 1 - rows() + subs()));
-      return Block<CoefficientsType,Dynamic,1>(coeffs(), start, i, len, 1);
-    }
-
-    /** \returns a vector expression of the main diagonal */
-    inline Block<CoefficientsType,1,SizeAtCompileTime> diagonal()
-    { return Block<CoefficientsType,1,SizeAtCompileTime>(coeffs(),supers(),0,1,(std::min)(rows(),cols())); }
-
-    /** \returns a vector expression of the main diagonal (const version) */
-    inline const Block<const CoefficientsType,1,SizeAtCompileTime> diagonal() const
-    { return Block<const CoefficientsType,1,SizeAtCompileTime>(coeffs(),supers(),0,1,(std::min)(rows(),cols())); }
-
-    template<int Index> struct DiagonalIntReturnType {
-      enum {
-        ReturnOpposite = (Options&SelfAdjoint) && (((Index)>0 && Supers==0) || ((Index)<0 && Subs==0)),
-        Conjugate = ReturnOpposite && NumTraits<Scalar>::IsComplex,
-        ActualIndex = ReturnOpposite ? -Index : Index,
-        DiagonalSize = (RowsAtCompileTime==Dynamic || ColsAtCompileTime==Dynamic)
-                     ? Dynamic
-                     : (ActualIndex<0
-                     ? EIGEN_SIZE_MIN_PREFER_DYNAMIC(ColsAtCompileTime, RowsAtCompileTime + ActualIndex)
-                     : EIGEN_SIZE_MIN_PREFER_DYNAMIC(RowsAtCompileTime, ColsAtCompileTime - ActualIndex))
-      };
-      typedef Block<CoefficientsType,1, DiagonalSize> BuildType;
-      typedef typename internal::conditional<Conjugate,
-                 CwiseUnaryOp<internal::scalar_conjugate_op<Scalar>,BuildType >,
-                 BuildType>::type Type;
-    };
-
-    /** \returns a vector expression of the \a N -th sub or super diagonal */
-    template<int N> inline typename DiagonalIntReturnType<N>::Type diagonal()
-    {
-      return typename DiagonalIntReturnType<N>::BuildType(coeffs(), supers()-N, (std::max)(0,N), 1, diagonalLength(N));
-    }
-
-    /** \returns a vector expression of the \a N -th sub or super diagonal */
-    template<int N> inline const typename DiagonalIntReturnType<N>::Type diagonal() const
-    {
-      return typename DiagonalIntReturnType<N>::BuildType(coeffs(), supers()-N, (std::max)(0,N), 1, diagonalLength(N));
-    }
-
-    /** \returns a vector expression of the \a i -th sub or super diagonal */
-    inline Block<CoefficientsType,1,Dynamic> diagonal(Index i)
-    {
-      eigen_assert((i<0 && -i<=subs()) || (i>=0 && i<=supers()));
-      return Block<CoefficientsType,1,Dynamic>(coeffs(), supers()-i, std::max<Index>(0,i), 1, diagonalLength(i));
-    }
-
-    /** \returns a vector expression of the \a i -th sub or super diagonal */
-    inline const Block<const CoefficientsType,1,Dynamic> diagonal(Index i) const
-    {
-      eigen_assert((i<0 && -i<=subs()) || (i>=0 && i<=supers()));
-      return Block<const CoefficientsType,1,Dynamic>(coeffs(), supers()-i, std::max<Index>(0,i), 1, diagonalLength(i));
-    }
-    
-    template<typename Dest> inline void evalTo(Dest& dst) const
-    {
-      dst.resize(rows(),cols());
-      dst.setZero();
-      dst.diagonal() = diagonal();
-      for (Index i=1; i<=supers();++i)
-        dst.diagonal(i) = diagonal(i);
-      for (Index i=1; i<=subs();++i)
-        dst.diagonal(-i) = diagonal(-i);
-    }
-
-    DenseMatrixType toDenseMatrix() const
-    {
-      DenseMatrixType res(rows(),cols());
-      evalTo(res);
-      return res;
-    }
-
-  protected:
-
-    inline Index diagonalLength(Index i) const
-    { return i<0 ? (std::min)(cols(),rows()+i) : (std::min)(rows(),cols()-i); }
-};
-
-/**
-  * \class BandMatrix
-  * \ingroup Core_Module
-  *
-  * \brief Represents a rectangular matrix with a banded storage
-  *
-  * \param _Scalar Numeric type, i.e. float, double, int
-  * \param Rows Number of rows, or \b Dynamic
-  * \param Cols Number of columns, or \b Dynamic
-  * \param Supers Number of super diagonal
-  * \param Subs Number of sub diagonal
-  * \param _Options A combination of either \b #RowMajor or \b #ColMajor, and of \b #SelfAdjoint
-  *                 The former controls \ref TopicStorageOrders "storage order", and defaults to
-  *                 column-major. The latter controls whether the matrix represents a selfadjoint 
-  *                 matrix in which case either Supers of Subs have to be null.
-  *
-  * \sa class TridiagonalMatrix
-  */
-
-template<typename _Scalar, int _Rows, int _Cols, int _Supers, int _Subs, int _Options>
-struct traits<BandMatrix<_Scalar,_Rows,_Cols,_Supers,_Subs,_Options> >
-{
-  typedef _Scalar Scalar;
-  typedef Dense StorageKind;
-  typedef DenseIndex Index;
-  enum {
-    CoeffReadCost = NumTraits<Scalar>::ReadCost,
-    RowsAtCompileTime = _Rows,
-    ColsAtCompileTime = _Cols,
-    MaxRowsAtCompileTime = _Rows,
-    MaxColsAtCompileTime = _Cols,
-    Flags = LvalueBit,
-    Supers = _Supers,
-    Subs = _Subs,
-    Options = _Options,
-    DataRowsAtCompileTime = ((Supers!=Dynamic) && (Subs!=Dynamic)) ? 1 + Supers + Subs : Dynamic
-  };
-  typedef Matrix<Scalar,DataRowsAtCompileTime,ColsAtCompileTime,Options&RowMajor?RowMajor:ColMajor> CoefficientsType;
-};
-
-template<typename _Scalar, int Rows, int Cols, int Supers, int Subs, int Options>
-class BandMatrix : public BandMatrixBase<BandMatrix<_Scalar,Rows,Cols,Supers,Subs,Options> >
-{
-  public:
-
-    typedef typename internal::traits<BandMatrix>::Scalar Scalar;
-    typedef typename internal::traits<BandMatrix>::Index Index;
-    typedef typename internal::traits<BandMatrix>::CoefficientsType CoefficientsType;
-
-    inline BandMatrix(Index rows=Rows, Index cols=Cols, Index supers=Supers, Index subs=Subs)
-      : m_coeffs(1+supers+subs,cols),
-        m_rows(rows), m_supers(supers), m_subs(subs)
-    {
-    }
-
-    /** \returns the number of columns */
-    inline Index rows() const { return m_rows.value(); }
-
-    /** \returns the number of rows */
-    inline Index cols() const { return m_coeffs.cols(); }
-
-    /** \returns the number of super diagonals */
-    inline Index supers() const { return m_supers.value(); }
-
-    /** \returns the number of sub diagonals */
-    inline Index subs() const { return m_subs.value(); }
-
-    inline const CoefficientsType& coeffs() const { return m_coeffs; }
-    inline CoefficientsType& coeffs() { return m_coeffs; }
-
-  protected:
-
-    CoefficientsType m_coeffs;
-    internal::variable_if_dynamic<Index, Rows>   m_rows;
-    internal::variable_if_dynamic<Index, Supers> m_supers;
-    internal::variable_if_dynamic<Index, Subs>   m_subs;
-};
-
-template<typename _CoefficientsType,int _Rows, int _Cols, int _Supers, int _Subs,int _Options>
-class BandMatrixWrapper;
-
-template<typename _CoefficientsType,int _Rows, int _Cols, int _Supers, int _Subs,int _Options>
-struct traits<BandMatrixWrapper<_CoefficientsType,_Rows,_Cols,_Supers,_Subs,_Options> >
-{
-  typedef typename _CoefficientsType::Scalar Scalar;
-  typedef typename _CoefficientsType::StorageKind StorageKind;
-  typedef typename _CoefficientsType::Index Index;
-  enum {
-    CoeffReadCost = internal::traits<_CoefficientsType>::CoeffReadCost,
-    RowsAtCompileTime = _Rows,
-    ColsAtCompileTime = _Cols,
-    MaxRowsAtCompileTime = _Rows,
-    MaxColsAtCompileTime = _Cols,
-    Flags = LvalueBit,
-    Supers = _Supers,
-    Subs = _Subs,
-    Options = _Options,
-    DataRowsAtCompileTime = ((Supers!=Dynamic) && (Subs!=Dynamic)) ? 1 + Supers + Subs : Dynamic
-  };
-  typedef _CoefficientsType CoefficientsType;
-};
-
-template<typename _CoefficientsType,int _Rows, int _Cols, int _Supers, int _Subs,int _Options>
-class BandMatrixWrapper : public BandMatrixBase<BandMatrixWrapper<_CoefficientsType,_Rows,_Cols,_Supers,_Subs,_Options> >
-{
-  public:
-
-    typedef typename internal::traits<BandMatrixWrapper>::Scalar Scalar;
-    typedef typename internal::traits<BandMatrixWrapper>::CoefficientsType CoefficientsType;
-    typedef typename internal::traits<BandMatrixWrapper>::Index Index;
-
-    inline BandMatrixWrapper(const CoefficientsType& coeffs, Index rows=_Rows, Index cols=_Cols, Index supers=_Supers, Index subs=_Subs)
-      : m_coeffs(coeffs),
-        m_rows(rows), m_supers(supers), m_subs(subs)
-    {
-      EIGEN_UNUSED_VARIABLE(cols);
-      //internal::assert(coeffs.cols()==cols() && (supers()+subs()+1)==coeffs.rows());
-    }
-
-    /** \returns the number of columns */
-    inline Index rows() const { return m_rows.value(); }
-
-    /** \returns the number of rows */
-    inline Index cols() const { return m_coeffs.cols(); }
-
-    /** \returns the number of super diagonals */
-    inline Index supers() const { return m_supers.value(); }
-
-    /** \returns the number of sub diagonals */
-    inline Index subs() const { return m_subs.value(); }
-
-    inline const CoefficientsType& coeffs() const { return m_coeffs; }
-
-  protected:
-
-    const CoefficientsType& m_coeffs;
-    internal::variable_if_dynamic<Index, _Rows>   m_rows;
-    internal::variable_if_dynamic<Index, _Supers> m_supers;
-    internal::variable_if_dynamic<Index, _Subs>   m_subs;
-};
-
-/**
-  * \class TridiagonalMatrix
-  * \ingroup Core_Module
-  *
-  * \brief Represents a tridiagonal matrix with a compact banded storage
-  *
-  * \param _Scalar Numeric type, i.e. float, double, int
-  * \param Size Number of rows and cols, or \b Dynamic
-  * \param _Options Can be 0 or \b SelfAdjoint
-  *
-  * \sa class BandMatrix
-  */
-template<typename Scalar, int Size, int Options>
-class TridiagonalMatrix : public BandMatrix<Scalar,Size,Size,Options&SelfAdjoint?0:1,1,Options|RowMajor>
-{
-    typedef BandMatrix<Scalar,Size,Size,Options&SelfAdjoint?0:1,1,Options|RowMajor> Base;
-    typedef typename Base::Index Index;
-  public:
-    TridiagonalMatrix(Index size = Size) : Base(size,size,Options&SelfAdjoint?0:1,1) {}
-
-    inline typename Base::template DiagonalIntReturnType<1>::Type super()
-    { return Base::template diagonal<1>(); }
-    inline const typename Base::template DiagonalIntReturnType<1>::Type super() const
-    { return Base::template diagonal<1>(); }
-    inline typename Base::template DiagonalIntReturnType<-1>::Type sub()
-    { return Base::template diagonal<-1>(); }
-    inline const typename Base::template DiagonalIntReturnType<-1>::Type sub() const
-    { return Base::template diagonal<-1>(); }
-  protected:
-};
-
-} // end namespace internal
-
-} // end namespace Eigen
-
-#endif // EIGEN_BANDMATRIX_H
--- a/Eigen/src/Core/Block.h
+++ b/Eigen/src/Core/Block.h
@@ -1,8 +1,8 @@
 // This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
+// for linear algebra. Eigen itself is part of the KDE project.
 //
-// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
-// Copyright (C) 2006-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
 //
 // Eigen is free software; you can redistribute it and/or
 // modify it under the terms of the GNU Lesser General Public
@@ -26,20 +26,21 @@
 #ifndef EIGEN_BLOCK_H
 #define EIGEN_BLOCK_H

-namespace Eigen { 
-
 /** \class Block
-  * \ingroup Core_Module
  *
  * \brief Expression of a fixed-size or dynamic-size block
  *
-  * \param XprType the type of the expression in which we are taking a block
+  * \param MatrixType the type of the object in which we are taking a block
  * \param BlockRows the number of rows of the block we are taking at compile time (optional)
  * \param BlockCols the number of columns of the block we are taking at compile time (optional)
+  * \param _PacketAccess allows to enforce aligned loads and stores if set to ForceAligned.
+  *                      The default is AsRequested. This parameter is internaly used by Eigen
+  *                      in expressions such as \code mat.block() += other; \endcode and most of
+  *                      the time this is the only way it is used.
  * \param _DirectAccessStatus \internal used for partial specialization
  *
  * This class represents an expression of either a fixed-size or dynamic-size block. It is the return
-  * type of DenseBase::block(Index,Index,Index,Index) and DenseBase::block<int,int>(Index,Index) and
+  * type of MatrixBase::block(int,int,int,int) and MatrixBase::block<int,int>(int,int) and
  * most of the time this is the only way it is used.
  *
  * However, if you want to directly maniputate block expressions,
@@ -50,7 +51,7 @@ namespace Eigen {
  * \include class_Block.cpp
  * Output: \verbinclude class_Block.out
  *
-  * \note Even though this expression has dynamic size, in the case where \a XprType
+  * \note Even though this expression has dynamic size, in the case where \a MatrixType
  * has fixed size, this expression inherits a fixed maximal size which means that evaluating
  * it does not cause a dynamic memory allocation.
  *
@@ -58,315 +59,694 @@ namespace Eigen {
  * \include class_FixedBlock.cpp
  * Output: \verbinclude class_FixedBlock.out
  *
-  * \sa DenseBase::block(Index,Index,Index,Index), DenseBase::block(Index,Index), class VectorBlock
+  * \sa MatrixBase::block(int,int,int,int), MatrixBase::block(int,int), class VectorBlock
  */

-namespace internal {
-template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess>
-struct traits<Block<XprType, BlockRows, BlockCols, InnerPanel, HasDirectAccess> > : traits<XprType>
+template<typename MatrixType, int BlockRows, int BlockCols, int _PacketAccess, int _DirectAccessStatus>
+struct ei_traits<Block<MatrixType, BlockRows, BlockCols, _PacketAccess, _DirectAccessStatus> >
 {
-  typedef typename traits<XprType>::Scalar Scalar;
-  typedef typename traits<XprType>::StorageKind StorageKind;
-  typedef typename traits<XprType>::XprKind XprKind;
-  typedef typename nested<XprType>::type XprTypeNested;
-  typedef typename remove_reference<XprTypeNested>::type _XprTypeNested;
+  typedef typename ei_traits<MatrixType>::Scalar Scalar;
+  typedef typename ei_nested<MatrixType>::type MatrixTypeNested;
+  typedef typename ei_unref<MatrixTypeNested>::type _MatrixTypeNested;
  enum{
-    MatrixRows = traits<XprType>::RowsAtCompileTime,
-    MatrixCols = traits<XprType>::ColsAtCompileTime,
-    RowsAtCompileTime = MatrixRows == 0 ? 0 : BlockRows,
-    ColsAtCompileTime = MatrixCols == 0 ? 0 : BlockCols,
-    MaxRowsAtCompileTime = BlockRows==0 ? 0
-                         : RowsAtCompileTime != Dynamic ? int(RowsAtCompileTime)
-                         : int(traits<XprType>::MaxRowsAtCompileTime),
-    MaxColsAtCompileTime = BlockCols==0 ? 0
-                         : ColsAtCompileTime != Dynamic ? int(ColsAtCompileTime)
-                         : int(traits<XprType>::MaxColsAtCompileTime),
-    XprTypeIsRowMajor = (int(traits<XprType>::Flags)&RowMajorBit) != 0,
-    IsRowMajor = (MaxRowsAtCompileTime==1&&MaxColsAtCompileTime!=1) ? 1
-               : (MaxColsAtCompileTime==1&&MaxRowsAtCompileTime!=1) ? 0
-               : XprTypeIsRowMajor,
-    HasSameStorageOrderAsXprType = (IsRowMajor == XprTypeIsRowMajor),
-    InnerSize = IsRowMajor ? int(ColsAtCompileTime) : int(RowsAtCompileTime),
-    InnerStrideAtCompileTime = HasSameStorageOrderAsXprType
-                             ? int(inner_stride_at_compile_time<XprType>::ret)
-                             : int(outer_stride_at_compile_time<XprType>::ret),
-    OuterStrideAtCompileTime = HasSameStorageOrderAsXprType
-                             ? int(outer_stride_at_compile_time<XprType>::ret)
-                             : int(inner_stride_at_compile_time<XprType>::ret),
-    MaskPacketAccessBit = (InnerSize == Dynamic || (InnerSize % packet_traits<Scalar>::size) == 0)
-                       && (InnerStrideAtCompileTime == 1)
+    RowsAtCompileTime = ei_traits<MatrixType>::RowsAtCompileTime == 1 ? 1 : BlockRows,
+    ColsAtCompileTime = ei_traits<MatrixType>::ColsAtCompileTime == 1 ? 1 : BlockCols,
+    MaxRowsAtCompileTime = RowsAtCompileTime == 1 ? 1
+      : (BlockRows==Dynamic ? ei_traits<MatrixType>::MaxRowsAtCompileTime : BlockRows),
+    MaxColsAtCompileTime = ColsAtCompileTime == 1 ? 1
+      : (BlockCols==Dynamic ? ei_traits<MatrixType>::MaxColsAtCompileTime : BlockCols),
+    RowMajor = int(ei_traits<MatrixType>::Flags)&RowMajorBit,
+    InnerSize = RowMajor ? ColsAtCompileTime : RowsAtCompileTime,
+    InnerMaxSize = RowMajor ? MaxColsAtCompileTime : MaxRowsAtCompileTime,
+    MaskPacketAccessBit = (InnerMaxSize == Dynamic || (InnerSize >= ei_packet_traits<Scalar>::size))
                        ? PacketAccessBit : 0,
-    MaskAlignedBit = (InnerPanel && (OuterStrideAtCompileTime!=Dynamic) && (((OuterStrideAtCompileTime * int(sizeof(Scalar))) % 16) == 0)) ? AlignedBit : 0,
    FlagsLinearAccessBit = (RowsAtCompileTime == 1 || ColsAtCompileTime == 1) ? LinearAccessBit : 0,
-    FlagsLvalueBit = is_lvalue<XprType>::value ? LvalueBit : 0,
-    FlagsRowMajorBit = IsRowMajor ? RowMajorBit : 0,
-    Flags0 = traits<XprType>::Flags & ( (HereditaryBits & ~RowMajorBit) |
-                                        DirectAccessBit |
-                                        MaskPacketAccessBit |
-                                        MaskAlignedBit),
-    Flags = Flags0 | FlagsLinearAccessBit | FlagsLvalueBit | FlagsRowMajorBit
+    Flags = (ei_traits<MatrixType>::Flags & (HereditaryBits | MaskPacketAccessBit | DirectAccessBit)) | FlagsLinearAccessBit,
+    CoeffReadCost = ei_traits<MatrixType>::CoeffReadCost,
+    PacketAccess = _PacketAccess
  };
+  typedef typename ei_meta_if<int(PacketAccess)==ForceAligned,
+                 Block<MatrixType, BlockRows, BlockCols, _PacketAccess, _DirectAccessStatus>&,
+                 Block<MatrixType, BlockRows, BlockCols, ForceAligned, _DirectAccessStatus> >::ret AlignedDerivedType;
 };
-}

-template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class Block
-  : public internal::dense_xpr_base<Block<XprType, BlockRows, BlockCols, InnerPanel, HasDirectAccess> >::type
+template<typename MatrixType, int BlockRows, int BlockCols, int PacketAccess, int _DirectAccessStatus> class Block
+  : public MatrixBase<Block<MatrixType, BlockRows, BlockCols, PacketAccess, _DirectAccessStatus> >
 {
  public:

-    typedef typename internal::dense_xpr_base<Block>::type Base;
-    EIGEN_DENSE_PUBLIC_INTERFACE(Block)
+    EIGEN_GENERIC_PUBLIC_INTERFACE(Block)

    class InnerIterator;

    /** Column or Row constructor
      */
-    inline Block(XprType& xpr, Index i)
-      : m_xpr(xpr),
-        // It is a row if and only if BlockRows==1 and BlockCols==XprType::ColsAtCompileTime,
-        // and it is a column if and only if BlockRows==XprType::RowsAtCompileTime and BlockCols==1,
+    inline Block(const MatrixType& matrix, int i)
+      : m_matrix(matrix),
+        // It is a row if and only if BlockRows==1 and BlockCols==MatrixType::ColsAtCompileTime,
+        // and it is a column if and only if BlockRows==MatrixType::RowsAtCompileTime and BlockCols==1,
        // all other cases are invalid.
        // The case a 1x1 matrix seems ambiguous, but the result is the same anyway.
-        m_startRow( (BlockRows==1) && (BlockCols==XprType::ColsAtCompileTime) ? i : 0),
-        m_startCol( (BlockRows==XprType::RowsAtCompileTime) && (BlockCols==1) ? i : 0),
-        m_blockRows(BlockRows==1 ? 1 : xpr.rows()),
-        m_blockCols(BlockCols==1 ? 1 : xpr.cols())
+        m_startRow( (BlockRows==1) && (BlockCols==MatrixType::ColsAtCompileTime) ? i : 0),
+        m_startCol( (BlockRows==MatrixType::RowsAtCompileTime) && (BlockCols==1) ? i : 0),
+        m_blockRows(matrix.rows()), // if it is a row, then m_blockRows has a fixed-size of 1, so no pb to try to overwrite it
+        m_blockCols(matrix.cols())  // same for m_blockCols
    {
-      eigen_assert( (i>=0) && (
-          ((BlockRows==1) && (BlockCols==XprType::ColsAtCompileTime) && i<xpr.rows())
-        ||((BlockRows==XprType::RowsAtCompileTime) && (BlockCols==1) && i<xpr.cols())));
+      ei_assert( (i>=0) && (
+          ((BlockRows==1) && (BlockCols==MatrixType::ColsAtCompileTime) && i<matrix.rows())
+        ||((BlockRows==MatrixType::RowsAtCompileTime) && (BlockCols==1) && i<matrix.cols())));
    }

    /** Fixed-size constructor
      */
-    inline Block(XprType& xpr, Index startRow, Index startCol)
-      : m_xpr(xpr), m_startRow(startRow), m_startCol(startCol),
-        m_blockRows(BlockRows), m_blockCols(BlockCols)
+    inline Block(const MatrixType& matrix, int startRow, int startCol)
+      : m_matrix(matrix), m_startRow(startRow), m_startCol(startCol),
+        m_blockRows(matrix.rows()), m_blockCols(matrix.cols())
    {
      EIGEN_STATIC_ASSERT(RowsAtCompileTime!=Dynamic && ColsAtCompileTime!=Dynamic,THIS_METHOD_IS_ONLY_FOR_FIXED_SIZE)
-      eigen_assert(startRow >= 0 && BlockRows >= 1 && startRow + BlockRows <= xpr.rows()
-             && startCol >= 0 && BlockCols >= 1 && startCol + BlockCols <= xpr.cols());
+      ei_assert(startRow >= 0 && BlockRows >= 1 && startRow + BlockRows <= matrix.rows()
+          && startCol >= 0 && BlockCols >= 1 && startCol + BlockCols <= matrix.cols());
    }

    /** Dynamic-size constructor
      */
-    inline Block(XprType& xpr,
-          Index startRow, Index startCol,
-          Index blockRows, Index blockCols)
-      : m_xpr(xpr), m_startRow(startRow), m_startCol(startCol),
+    inline Block(const MatrixType& matrix,
+          int startRow, int startCol,
+          int blockRows, int blockCols)
+      : m_matrix(matrix), m_startRow(startRow), m_startCol(startCol),
                          m_blockRows(blockRows), m_blockCols(blockCols)
    {
-      eigen_assert((RowsAtCompileTime==Dynamic || RowsAtCompileTime==blockRows)
+      ei_assert((RowsAtCompileTime==Dynamic || RowsAtCompileTime==blockRows)
          && (ColsAtCompileTime==Dynamic || ColsAtCompileTime==blockCols));
-      eigen_assert(startRow >= 0 && blockRows >= 0 && startRow + blockRows <= xpr.rows()
-          && startCol >= 0 && blockCols >= 0 && startCol + blockCols <= xpr.cols());
+      ei_assert(startRow >= 0 && blockRows >= 1 && startRow + blockRows <= matrix.rows()
+          && startCol >= 0 && blockCols >= 1 && startCol + blockCols <= matrix.cols());
    }

    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(Block)

-    inline Index rows() const { return m_blockRows.value(); }
-    inline Index cols() const { return m_blockCols.value(); }
+    inline int rows() const { return m_blockRows.value(); }
+    inline int cols() const { return m_blockCols.value(); }

-    inline Scalar& coeffRef(Index row, Index col)
+    inline Scalar& coeffRef(int row, int col)
    {
-      EIGEN_STATIC_ASSERT_LVALUE(XprType)
-      return m_xpr.const_cast_derived()
+      return m_matrix.const_cast_derived()
               .coeffRef(row + m_startRow.value(), col + m_startCol.value());
    }

-    inline const Scalar& coeffRef(Index row, Index col) const
+    inline const Scalar coeff(int row, int col) const
    {
-      return m_xpr.derived()
-               .coeffRef(row + m_startRow.value(), col + m_startCol.value());
+      return m_matrix.coeff(row + m_startRow.value(), col + m_startCol.value());
    }

-    EIGEN_STRONG_INLINE const CoeffReturnType coeff(Index row, Index col) const
+    inline Scalar& coeffRef(int index)
    {
-      return m_xpr.coeff(row + m_startRow.value(), col + m_startCol.value());
-    }
-
-    inline Scalar& coeffRef(Index index)
-    {
-      EIGEN_STATIC_ASSERT_LVALUE(XprType)
-      return m_xpr.const_cast_derived()
+      return m_matrix.const_cast_derived()
             .coeffRef(m_startRow.value() + (RowsAtCompileTime == 1 ? 0 : index),
                       m_startCol.value() + (RowsAtCompileTime == 1 ? index : 0));
    }

-    inline const Scalar& coeffRef(Index index) const
+    inline const Scalar coeff(int index) const
    {
-      return m_xpr.const_cast_derived()
-             .coeffRef(m_startRow.value() + (RowsAtCompileTime == 1 ? 0 : index),
-                       m_startCol.value() + (RowsAtCompileTime == 1 ? index : 0));
-    }
-
-    inline const CoeffReturnType coeff(Index index) const
-    {
-      return m_xpr
+      return m_matrix
             .coeff(m_startRow.value() + (RowsAtCompileTime == 1 ? 0 : index),
                    m_startCol.value() + (RowsAtCompileTime == 1 ? index : 0));
    }

    template<int LoadMode>
-    inline PacketScalar packet(Index row, Index col) const
+    inline PacketScalar packet(int row, int col) const
    {
-      return m_xpr.template packet<Unaligned>
+      return m_matrix.template packet<Unaligned>
              (row + m_startRow.value(), col + m_startCol.value());
    }

    template<int LoadMode>
-    inline void writePacket(Index row, Index col, const PacketScalar& x)
+    inline void writePacket(int row, int col, const PacketScalar& x)
    {
-      m_xpr.const_cast_derived().template writePacket<Unaligned>
+      m_matrix.const_cast_derived().template writePacket<Unaligned>
              (row + m_startRow.value(), col + m_startCol.value(), x);
    }

    template<int LoadMode>
-    inline PacketScalar packet(Index index) const
+    inline PacketScalar packet(int index) const
    {
-      return m_xpr.template packet<Unaligned>
+      return m_matrix.template packet<Unaligned>
              (m_startRow.value() + (RowsAtCompileTime == 1 ? 0 : index),
               m_startCol.value() + (RowsAtCompileTime == 1 ? index : 0));
    }

    template<int LoadMode>
-    inline void writePacket(Index index, const PacketScalar& x)
+    inline void writePacket(int index, const PacketScalar& x)
    {
-      m_xpr.const_cast_derived().template writePacket<Unaligned>
+      m_matrix.const_cast_derived().template writePacket<Unaligned>
         (m_startRow.value() + (RowsAtCompileTime == 1 ? 0 : index),
          m_startCol.value() + (RowsAtCompileTime == 1 ? index : 0), x);
    }

-    #ifdef EIGEN_PARSED_BY_DOXYGEN
-    /** \sa MapBase::data() */
-    inline const Scalar* data() const;
-    inline Index innerStride() const;
-    inline Index outerStride() const;
-    #endif
-
-    const typename internal::remove_all<typename XprType::Nested>::type& nestedExpression() const 
-    { 
-      return m_xpr; 
-    }
-      
-    Index startRow() const 
-    { 
-      return m_startRow.value(); 
-    }
-      
-    Index startCol() const 
-    { 
-      return m_startCol.value(); 
-    }
-
  protected:

-    const typename XprType::Nested m_xpr;
-    const internal::variable_if_dynamic<Index, XprType::RowsAtCompileTime == 1 ? 0 : Dynamic> m_startRow;
-    const internal::variable_if_dynamic<Index, XprType::ColsAtCompileTime == 1 ? 0 : Dynamic> m_startCol;
-    const internal::variable_if_dynamic<Index, RowsAtCompileTime> m_blockRows;
-    const internal::variable_if_dynamic<Index, ColsAtCompileTime> m_blockCols;
+    const typename MatrixType::Nested m_matrix;
+    const ei_int_if_dynamic<MatrixType::RowsAtCompileTime == 1 ? 0 : Dynamic> m_startRow;
+    const ei_int_if_dynamic<MatrixType::ColsAtCompileTime == 1 ? 0 : Dynamic> m_startCol;
+    const ei_int_if_dynamic<RowsAtCompileTime> m_blockRows;
+    const ei_int_if_dynamic<ColsAtCompileTime> m_blockCols;
 };

 /** \internal */
-template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel>
-class Block<XprType,BlockRows,BlockCols, InnerPanel,true>
-  : public MapBase<Block<XprType, BlockRows, BlockCols, InnerPanel, true> >
+template<typename MatrixType, int BlockRows, int BlockCols, int PacketAccess>
+class Block<MatrixType,BlockRows,BlockCols,PacketAccess,HasDirectAccess>
+  : public MapBase<Block<MatrixType, BlockRows, BlockCols,PacketAccess,HasDirectAccess> >
 {
  public:

-    typedef MapBase<Block> Base;
-    EIGEN_DENSE_PUBLIC_INTERFACE(Block)
+    _EIGEN_GENERIC_PUBLIC_INTERFACE(Block, MapBase<Block>)
+
+    class InnerIterator;
+    typedef typename ei_traits<Block>::AlignedDerivedType AlignedDerivedType;
+    friend class Block<MatrixType,BlockRows,BlockCols,AsRequested,HasDirectAccess>;

    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(Block)

+    AlignedDerivedType _convertToForceAligned()
+    {
+      return Block<MatrixType,BlockRows,BlockCols,ForceAligned,HasDirectAccess>
+                    (m_matrix, Base::m_data, Base::m_rows.value(), Base::m_cols.value());
+    }
+
    /** Column or Row constructor
      */
-    inline Block(XprType& xpr, Index i)
-      : Base(internal::const_cast_ptr(&xpr.coeffRef(
-              (BlockRows==1) && (BlockCols==XprType::ColsAtCompileTime) ? i : 0,
-              (BlockRows==XprType::RowsAtCompileTime) && (BlockCols==1) ? i : 0)),
-             BlockRows==1 ? 1 : xpr.rows(),
-             BlockCols==1 ? 1 : xpr.cols()),
-        m_xpr(xpr)
+    inline Block(const MatrixType& matrix, int i)
+      : Base(&matrix.const_cast_derived().coeffRef(
+              (BlockRows==1) && (BlockCols==MatrixType::ColsAtCompileTime) ? i : 0,
+              (BlockRows==MatrixType::RowsAtCompileTime) && (BlockCols==1) ? i : 0),
+             BlockRows==1 ? 1 : matrix.rows(),
+             BlockCols==1 ? 1 : matrix.cols()),
+        m_matrix(matrix)
    {
-      eigen_assert( (i>=0) && (
-          ((BlockRows==1) && (BlockCols==XprType::ColsAtCompileTime) && i<xpr.rows())
-        ||((BlockRows==XprType::RowsAtCompileTime) && (BlockCols==1) && i<xpr.cols())));
-      init();
+      ei_assert( (i>=0) && (
+          ((BlockRows==1) && (BlockCols==MatrixType::ColsAtCompileTime) && i<matrix.rows())
+        ||((BlockRows==MatrixType::RowsAtCompileTime) && (BlockCols==1) && i<matrix.cols())));
    }

    /** Fixed-size constructor
      */
-    inline Block(XprType& xpr, Index startRow, Index startCol)
-      : Base(internal::const_cast_ptr(&xpr.coeffRef(startRow,startCol))), m_xpr(xpr)
+    inline Block(const MatrixType& matrix, int startRow, int startCol)
+      : Base(&matrix.const_cast_derived().coeffRef(startRow,startCol)), m_matrix(matrix)
    {
-      eigen_assert(startRow >= 0 && BlockRows >= 1 && startRow + BlockRows <= xpr.rows()
-             && startCol >= 0 && BlockCols >= 1 && startCol + BlockCols <= xpr.cols());
-      init();
+      ei_assert(startRow >= 0 && BlockRows >= 1 && startRow + BlockRows <= matrix.rows()
+             && startCol >= 0 && BlockCols >= 1 && startCol + BlockCols <= matrix.cols());
    }

    /** Dynamic-size constructor
      */
-    inline Block(XprType& xpr,
-          Index startRow, Index startCol,
-          Index blockRows, Index blockCols)
-      : Base(internal::const_cast_ptr(&xpr.coeffRef(startRow,startCol)), blockRows, blockCols),
-        m_xpr(xpr)
+    inline Block(const MatrixType& matrix,
+          int startRow, int startCol,
+          int blockRows, int blockCols)
+      : Base(&matrix.const_cast_derived().coeffRef(startRow,startCol), blockRows, blockCols),
+        m_matrix(matrix)
    {
-      eigen_assert((RowsAtCompileTime==Dynamic || RowsAtCompileTime==blockRows)
+      ei_assert((RowsAtCompileTime==Dynamic || RowsAtCompileTime==blockRows)
             && (ColsAtCompileTime==Dynamic || ColsAtCompileTime==blockCols));
-      eigen_assert(startRow >= 0 && blockRows >= 0 && startRow + blockRows <= xpr.rows()
-             && startCol >= 0 && blockCols >= 0 && startCol + blockCols <= xpr.cols());
-      init();
+      ei_assert(startRow >= 0 && blockRows >= 1 && startRow + blockRows <= matrix.rows()
+             && startCol >= 0 && blockCols >= 1 && startCol + blockCols <= matrix.cols());
    }

-    const typename internal::remove_all<typename XprType::Nested>::type& nestedExpression() const 
-    { 
-      return m_xpr; 
-    }
-      
-    /** \sa MapBase::innerStride() */
-    inline Index innerStride() const
-    {
-      return internal::traits<Block>::HasSameStorageOrderAsXprType
-             ? m_xpr.innerStride()
-             : m_xpr.outerStride();
-    }
+    inline int stride(void) const { return m_matrix.stride(); }

-    /** \sa MapBase::outerStride() */
-    inline Index outerStride() const
-    {
-      return m_outerStride;
-    }
-
-  #ifndef __SUNPRO_CC
-  // FIXME sunstudio is not friendly with the above friend...
-  // META-FIXME there is no 'friend' keyword around here. Is this obsolete?
  protected:
-  #endif

-    #ifndef EIGEN_PARSED_BY_DOXYGEN
    /** \internal used by allowAligned() */
-    inline Block(XprType& xpr, const Scalar* data, Index blockRows, Index blockCols)
-      : Base(data, blockRows, blockCols), m_xpr(xpr)
-    {
-      init();
-    }
-    #endif
+    inline Block(const MatrixType& matrix, const Scalar* data, int blockRows, int blockCols)
+      : Base(data, blockRows, blockCols), m_matrix(matrix)
+    {}

-  protected:
-    void init()
-    {
-      m_outerStride = internal::traits<Block>::HasSameStorageOrderAsXprType
-                    ? m_xpr.outerStride()
-                    : m_xpr.innerStride();
-    }
-
-    typename XprType::Nested m_xpr;
-    Index m_outerStride;
+    const typename MatrixType::Nested m_matrix;
 };

-} // end namespace Eigen
+/** \returns a dynamic-size expression of a block in *this.
+  *
+  * \param startRow the first row in the block
+  * \param startCol the first column in the block
+  * \param blockRows the number of rows in the block
+  * \param blockCols the number of columns in the block
+  *
+  * \addexample BlockIntIntIntInt \label How to reference a sub-matrix (dynamic-size)
+  *
+  * Example: \include MatrixBase_block_int_int_int_int.cpp
+  * Output: \verbinclude MatrixBase_block_int_int_int_int.out
+  *
+  * \note Even though the returned expression has dynamic size, in the case
+  * when it is applied to a fixed-size matrix, it inherits a fixed maximal size,
+  * which means that evaluating it does not cause a dynamic memory allocation.
+  *
+  * \sa class Block, block(int,int)
+  */
+template<typename Derived>
+inline typename BlockReturnType<Derived>::Type MatrixBase<Derived>
+  ::block(int startRow, int startCol, int blockRows, int blockCols)
+{
+  return typename BlockReturnType<Derived>::Type(derived(), startRow, startCol, blockRows, blockCols);
+}
+
+/** This is the const version of block(int,int,int,int). */
+template<typename Derived>
+inline const typename BlockReturnType<Derived>::Type MatrixBase<Derived>
+  ::block(int startRow, int startCol, int blockRows, int blockCols) const
+{
+  return typename BlockReturnType<Derived>::Type(derived(), startRow, startCol, blockRows, blockCols);
+}
+
+/** \returns a dynamic-size expression of a segment (i.e. a vector block) in *this.
+  *
+  * \only_for_vectors
+  *
+  * \addexample SegmentIntInt \label How to reference a sub-vector (dynamic size)
+  *
+  * \param start the first coefficient in the segment
+  * \param size the number of coefficients in the segment
+  *
+  * Example: \include MatrixBase_segment_int_int.cpp
+  * Output: \verbinclude MatrixBase_segment_int_int.out
+  *
+  * \note Even though the returned expression has dynamic size, in the case
+  * when it is applied to a fixed-size vector, it inherits a fixed maximal size,
+  * which means that evaluating it does not cause a dynamic memory allocation.
+  *
+  * \sa class Block, segment(int)
+  */
+template<typename Derived>
+inline typename BlockReturnType<Derived>::SubVectorType MatrixBase<Derived>
+  ::segment(int start, int size)
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  return typename BlockReturnType<Derived>::SubVectorType(derived(), RowsAtCompileTime == 1 ? 0 : start,
+                                   ColsAtCompileTime == 1 ? 0 : start,
+                                   RowsAtCompileTime == 1 ? 1 : size,
+                                   ColsAtCompileTime == 1 ? 1 : size);
+}
+
+/** This is the const version of segment(int,int).*/
+template<typename Derived>
+inline const typename BlockReturnType<Derived>::SubVectorType
+MatrixBase<Derived>::segment(int start, int size) const
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  return typename BlockReturnType<Derived>::SubVectorType(derived(), RowsAtCompileTime == 1 ? 0 : start,
+                                   ColsAtCompileTime == 1 ? 0 : start,
+                                   RowsAtCompileTime == 1 ? 1 : size,
+                                   ColsAtCompileTime == 1 ? 1 : size);
+}
+
+/** \returns a dynamic-size expression of the first coefficients of *this.
+  *
+  * \only_for_vectors
+  *
+  * \param size the number of coefficients in the block
+  *
+  * \addexample BlockInt \label How to reference a sub-vector (fixed-size)
+  *
+  * Example: \include MatrixBase_start_int.cpp
+  * Output: \verbinclude MatrixBase_start_int.out
+  *
+  * \note Even though the returned expression has dynamic size, in the case
+  * when it is applied to a fixed-size vector, it inherits a fixed maximal size,
+  * which means that evaluating it does not cause a dynamic memory allocation.
+  *
+  * \sa class Block, block(int,int)
+  */
+template<typename Derived>
+inline typename BlockReturnType<Derived,Dynamic>::SubVectorType
+MatrixBase<Derived>::start(int size)
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  return Block<Derived,
+               RowsAtCompileTime == 1 ? 1 : Dynamic,
+               ColsAtCompileTime == 1 ? 1 : Dynamic>
+              (derived(), 0, 0,
+               RowsAtCompileTime == 1 ? 1 : size,
+               ColsAtCompileTime == 1 ? 1 : size);
+}
+
+/** This is the const version of start(int).*/
+template<typename Derived>
+inline const typename BlockReturnType<Derived,Dynamic>::SubVectorType
+MatrixBase<Derived>::start(int size) const
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  return Block<Derived,
+               RowsAtCompileTime == 1 ? 1 : Dynamic,
+               ColsAtCompileTime == 1 ? 1 : Dynamic>
+              (derived(), 0, 0,
+               RowsAtCompileTime == 1 ? 1 : size,
+               ColsAtCompileTime == 1 ? 1 : size);
+}
+
+/** \returns a dynamic-size expression of the last coefficients of *this.
+  *
+  * \only_for_vectors
+  *
+  * \param size the number of coefficients in the block
+  *
+  * \addexample BlockEnd \label How to reference the end of a vector (fixed-size)
+  *
+  * Example: \include MatrixBase_end_int.cpp
+  * Output: \verbinclude MatrixBase_end_int.out
+  *
+  * \note Even though the returned expression has dynamic size, in the case
+  * when it is applied to a fixed-size vector, it inherits a fixed maximal size,
+  * which means that evaluating it does not cause a dynamic memory allocation.
+  *
+  * \sa class Block, block(int,int)
+  */
+template<typename Derived>
+inline typename BlockReturnType<Derived,Dynamic>::SubVectorType
+MatrixBase<Derived>::end(int size)
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  return Block<Derived,
+               RowsAtCompileTime == 1 ? 1 : Dynamic,
+               ColsAtCompileTime == 1 ? 1 : Dynamic>
+              (derived(),
+               RowsAtCompileTime == 1 ? 0 : rows() - size,
+               ColsAtCompileTime == 1 ? 0 : cols() - size,
+               RowsAtCompileTime == 1 ? 1 : size,
+               ColsAtCompileTime == 1 ? 1 : size);
+}
+
+/** This is the const version of end(int).*/
+template<typename Derived>
+inline const typename BlockReturnType<Derived,Dynamic>::SubVectorType
+MatrixBase<Derived>::end(int size) const
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  return Block<Derived,
+               RowsAtCompileTime == 1 ? 1 : Dynamic,
+               ColsAtCompileTime == 1 ? 1 : Dynamic>
+              (derived(),
+               RowsAtCompileTime == 1 ? 0 : rows() - size,
+               ColsAtCompileTime == 1 ? 0 : cols() - size,
+               RowsAtCompileTime == 1 ? 1 : size,
+               ColsAtCompileTime == 1 ? 1 : size);
+}
+
+/** \returns a fixed-size expression of a segment (i.e. a vector block) in \c *this
+  *
+  * \only_for_vectors
+  *
+  * The template parameter \a Size is the number of coefficients in the block
+  *
+  * \param start the index of the first element of the sub-vector
+  *
+  * Example: \include MatrixBase_template_int_segment.cpp
+  * Output: \verbinclude MatrixBase_template_int_segment.out
+  *
+  * \sa class Block
+  */
+template<typename Derived>
+template<int Size>
+inline typename BlockReturnType<Derived,Size>::SubVectorType
+MatrixBase<Derived>::segment(int start)
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  return Block<Derived,  (RowsAtCompileTime == 1 ? 1 : Size),
+                         (ColsAtCompileTime == 1 ? 1 : Size)>
+              (derived(), RowsAtCompileTime == 1 ? 0 : start,
+                          ColsAtCompileTime == 1 ? 0 : start);
+}
+
+/** This is the const version of segment<int>(int).*/
+template<typename Derived>
+template<int Size>
+inline const typename BlockReturnType<Derived,Size>::SubVectorType
+MatrixBase<Derived>::segment(int start) const
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  return Block<Derived,  (RowsAtCompileTime == 1 ? 1 : Size),
+                         (ColsAtCompileTime == 1 ? 1 : Size)>
+              (derived(), RowsAtCompileTime == 1 ? 0 : start,
+                          ColsAtCompileTime == 1 ? 0 : start);
+}
+
+/** \returns a fixed-size expression of the first coefficients of *this.
+  *
+  * \only_for_vectors
+  *
+  * The template parameter \a Size is the number of coefficients in the block
+  *
+  * \addexample BlockStart \label How to reference the start of a vector (fixed-size)
+  *
+  * Example: \include MatrixBase_template_int_start.cpp
+  * Output: \verbinclude MatrixBase_template_int_start.out
+  *
+  * \sa class Block
+  */
+template<typename Derived>
+template<int Size>
+inline typename BlockReturnType<Derived,Size>::SubVectorType
+MatrixBase<Derived>::start()
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  return Block<Derived, (RowsAtCompileTime == 1 ? 1 : Size),
+                        (ColsAtCompileTime == 1 ? 1 : Size)>(derived(), 0, 0);
+}
+
+/** This is the const version of start<int>().*/
+template<typename Derived>
+template<int Size>
+inline const typename BlockReturnType<Derived,Size>::SubVectorType
+MatrixBase<Derived>::start() const
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  return Block<Derived, (RowsAtCompileTime == 1 ? 1 : Size),
+                        (ColsAtCompileTime == 1 ? 1 : Size)>(derived(), 0, 0);
+}
+
+/** \returns a fixed-size expression of the last coefficients of *this.
+  *
+  * \only_for_vectors
+  *
+  * The template parameter \a Size is the number of coefficients in the block
+  *
+  * Example: \include MatrixBase_template_int_end.cpp
+  * Output: \verbinclude MatrixBase_template_int_end.out
+  *
+  * \sa class Block
+  */
+template<typename Derived>
+template<int Size>
+inline typename BlockReturnType<Derived,Size>::SubVectorType
+MatrixBase<Derived>::end()
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  return Block<Derived, RowsAtCompileTime == 1 ? 1 : Size,
+                        ColsAtCompileTime == 1 ? 1 : Size>
+           (derived(),
+            RowsAtCompileTime == 1 ? 0 : rows() - Size,
+            ColsAtCompileTime == 1 ? 0 : cols() - Size);
+}
+
+/** This is the const version of end<int>.*/
+template<typename Derived>
+template<int Size>
+inline const typename BlockReturnType<Derived,Size>::SubVectorType
+MatrixBase<Derived>::end() const
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  return Block<Derived, RowsAtCompileTime == 1 ? 1 : Size,
+                        ColsAtCompileTime == 1 ? 1 : Size>
+           (derived(),
+            RowsAtCompileTime == 1 ? 0 : rows() - Size,
+            ColsAtCompileTime == 1 ? 0 : cols() - Size);
+}
+
+/** \returns a dynamic-size expression of a corner of *this.
+  *
+  * \param type the type of corner. Can be \a Eigen::TopLeft, \a Eigen::TopRight,
+  * \a Eigen::BottomLeft, \a Eigen::BottomRight.
+  * \param cRows the number of rows in the corner
+  * \param cCols the number of columns in the corner
+  *
+  * \addexample BlockCornerDynamicSize \label How to reference a sub-corner of a matrix
+  *
+  * Example: \include MatrixBase_corner_enum_int_int.cpp
+  * Output: \verbinclude MatrixBase_corner_enum_int_int.out
+  *
+  * \note Even though the returned expression has dynamic size, in the case
+  * when it is applied to a fixed-size matrix, it inherits a fixed maximal size,
+  * which means that evaluating it does not cause a dynamic memory allocation.
+  *
+  * \sa class Block, block(int,int,int,int)
+  */
+template<typename Derived>
+inline typename BlockReturnType<Derived>::Type MatrixBase<Derived>
+  ::corner(CornerType type, int cRows, int cCols)
+{
+  switch(type)
+  {
+    default:
+      ei_assert(false && "Bad corner type.");
+    case TopLeft:
+      return typename BlockReturnType<Derived>::Type(derived(), 0, 0, cRows, cCols);
+    case TopRight:
+      return typename BlockReturnType<Derived>::Type(derived(), 0, cols() - cCols, cRows, cCols);
+    case BottomLeft:
+      return typename BlockReturnType<Derived>::Type(derived(), rows() - cRows, 0, cRows, cCols);
+    case BottomRight:
+      return typename BlockReturnType<Derived>::Type(derived(), rows() - cRows, cols() - cCols, cRows, cCols);
+  }
+}
+
+/** This is the const version of corner(CornerType, int, int).*/
+template<typename Derived>
+inline const typename BlockReturnType<Derived>::Type
+MatrixBase<Derived>::corner(CornerType type, int cRows, int cCols) const
+{
+  switch(type)
+  {
+    default:
+      ei_assert(false && "Bad corner type.");
+    case TopLeft:
+      return typename BlockReturnType<Derived>::Type(derived(), 0, 0, cRows, cCols);
+    case TopRight:
+      return typename BlockReturnType<Derived>::Type(derived(), 0, cols() - cCols, cRows, cCols);
+    case BottomLeft:
+      return typename BlockReturnType<Derived>::Type(derived(), rows() - cRows, 0, cRows, cCols);
+    case BottomRight:
+      return typename BlockReturnType<Derived>::Type(derived(), rows() - cRows, cols() - cCols, cRows, cCols);
+  }
+}
+
+/** \returns a fixed-size expression of a corner of *this.
+  *
+  * \param type the type of corner. Can be \a Eigen::TopLeft, \a Eigen::TopRight,
+  * \a Eigen::BottomLeft, \a Eigen::BottomRight.
+  *
+  * The template parameters CRows and CCols arethe number of rows and columns in the corner.
+  *
+  * Example: \include MatrixBase_template_int_int_corner_enum.cpp
+  * Output: \verbinclude MatrixBase_template_int_int_corner_enum.out
+  *
+  * \sa class Block, block(int,int,int,int)
+  */
+template<typename Derived>
+template<int CRows, int CCols>
+inline typename BlockReturnType<Derived, CRows, CCols>::Type
+MatrixBase<Derived>::corner(CornerType type)
+{
+  switch(type)
+  {
+    default:
+      ei_assert(false && "Bad corner type.");
+    case TopLeft:
+      return Block<Derived, CRows, CCols>(derived(), 0, 0);
+    case TopRight:
+      return Block<Derived, CRows, CCols>(derived(), 0, cols() - CCols);
+    case BottomLeft:
+      return Block<Derived, CRows, CCols>(derived(), rows() - CRows, 0);
+    case BottomRight:
+      return Block<Derived, CRows, CCols>(derived(), rows() - CRows, cols() - CCols);
+  }
+}
+
+/** This is the const version of corner<int, int>(CornerType).*/
+template<typename Derived>
+template<int CRows, int CCols>
+inline const typename BlockReturnType<Derived, CRows, CCols>::Type
+MatrixBase<Derived>::corner(CornerType type) const
+{
+  switch(type)
+  {
+    default:
+      ei_assert(false && "Bad corner type.");
+    case TopLeft:
+      return Block<Derived, CRows, CCols>(derived(), 0, 0);
+    case TopRight:
+      return Block<Derived, CRows, CCols>(derived(), 0, cols() - CCols);
+    case BottomLeft:
+      return Block<Derived, CRows, CCols>(derived(), rows() - CRows, 0);
+    case BottomRight:
+      return Block<Derived, CRows, CCols>(derived(), rows() - CRows, cols() - CCols);
+  }
+}
+
+/** \returns a fixed-size expression of a block in *this.
+  *
+  * The template parameters \a BlockRows and \a BlockCols are the number of
+  * rows and columns in the block.
+  *
+  * \param startRow the first row in the block
+  * \param startCol the first column in the block
+  *
+  * \addexample BlockSubMatrixFixedSize \label How to reference a sub-matrix (fixed-size)
+  *
+  * Example: \include MatrixBase_block_int_int.cpp
+  * Output: \verbinclude MatrixBase_block_int_int.out
+  *
+  * \note since block is a templated member, the keyword template has to be used
+  * if the matrix type is also a template parameter: \code m.template block<3,3>(1,1); \endcode
+  *
+  * \sa class Block, block(int,int,int,int)
+  */
+template<typename Derived>
+template<int BlockRows, int BlockCols>
+inline typename BlockReturnType<Derived, BlockRows, BlockCols>::Type
+MatrixBase<Derived>::block(int startRow, int startCol)
+{
+  return Block<Derived, BlockRows, BlockCols>(derived(), startRow, startCol);
+}
+
+/** This is the const version of block<>(int, int). */
+template<typename Derived>
+template<int BlockRows, int BlockCols>
+inline const typename BlockReturnType<Derived, BlockRows, BlockCols>::Type
+MatrixBase<Derived>::block(int startRow, int startCol) const
+{
+  return Block<Derived, BlockRows, BlockCols>(derived(), startRow, startCol);
+}
+
+/** \returns an expression of the \a i-th column of *this. Note that the numbering starts at 0.
+  *
+  * \addexample BlockColumn \label How to reference a single column of a matrix
+  *
+  * Example: \include MatrixBase_col.cpp
+  * Output: \verbinclude MatrixBase_col.out
+  *
+  * \sa row(), class Block */
+template<typename Derived>
+inline typename MatrixBase<Derived>::ColXpr
+MatrixBase<Derived>::col(int i)
+{
+  return ColXpr(derived(), i);
+}
+
+/** This is the const version of col(). */
+template<typename Derived>
+inline const typename MatrixBase<Derived>::ColXpr
+MatrixBase<Derived>::col(int i) const
+{
+  return ColXpr(derived(), i);
+}
+
+/** \returns an expression of the \a i-th row of *this. Note that the numbering starts at 0.
+  *
+  * \addexample BlockRow \label How to reference a single row of a matrix
+  *
+  * Example: \include MatrixBase_row.cpp
+  * Output: \verbinclude MatrixBase_row.out
+  *
+  * \sa col(), class Block */
+template<typename Derived>
+inline typename MatrixBase<Derived>::RowXpr
+MatrixBase<Derived>::row(int i)
+{
+  return RowXpr(derived(), i);
+}
+
+/** This is the const version of row(). */
+template<typename Derived>
+inline const typename MatrixBase<Derived>::RowXpr
+MatrixBase<Derived>::row(int i) const
+{
+  return RowXpr(derived(), i);
+}

 #endif // EIGEN_BLOCK_H
--- a/Eigen/src/Core/CMakeLists.txt
+++ b/Eigen/src/Core/CMakeLists.txt
@@ -2,9 +2,8 @@ FILE(GLOB Eigen_Core_SRCS "*.h")

 INSTALL(FILES
  ${Eigen_Core_SRCS}
-  DESTINATION ${INCLUDE_INSTALL_DIR}/Eigen/src/Core COMPONENT Devel
+  DESTINATION ${INCLUDE_INSTALL_DIR}/Eigen/src/Core
  )

-ADD_SUBDIRECTORY(products)
 ADD_SUBDIRECTORY(util)
 ADD_SUBDIRECTORY(arch)
--- a/Eigen/src/Core/CacheFriendlyProduct.h
+++ b/Eigen/src/Core/CacheFriendlyProduct.h
@@ -0,0 +1,757 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra. Eigen itself is part of the KDE project.
+//
+// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
+//
+// Eigen is free software; you can redistribute it and/or
+// modify it under the terms of the GNU Lesser General Public
+// License as published by the Free Software Foundation; either
+// version 3 of the License, or (at your option) any later version.
+//
+// Alternatively, you can redistribute it and/or
+// modify it under the terms of the GNU General Public License as
+// published by the Free Software Foundation; either version 2 of
+// the License, or (at your option) any later version.
+//
+// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
+// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
+// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
+// GNU General Public License for more details.
+//
+// You should have received a copy of the GNU Lesser General Public
+// License and a copy of the GNU General Public License along with
+// Eigen. If not, see <http://www.gnu.org/licenses/>.
+
+#ifndef EIGEN_CACHE_FRIENDLY_PRODUCT_H
+#define EIGEN_CACHE_FRIENDLY_PRODUCT_H
+
+template <int L2MemorySize,typename Scalar>
+struct ei_L2_block_traits {
+  enum {width = 8 * ei_meta_sqrt<L2MemorySize/(64*sizeof(Scalar))>::ret };
+};
+
+#ifndef EIGEN_EXTERN_INSTANTIATIONS
+
+template<typename Scalar>
+static void ei_cache_friendly_product(
+  int _rows, int _cols, int depth,
+  bool _lhsRowMajor, const Scalar* _lhs, int _lhsStride,
+  bool _rhsRowMajor, const Scalar* _rhs, int _rhsStride,
+  bool resRowMajor, Scalar* res, int resStride)
+{
+  const Scalar* EIGEN_RESTRICT lhs;
+  const Scalar* EIGEN_RESTRICT rhs;
+  int lhsStride, rhsStride, rows, cols;
+  bool lhsRowMajor;
+
+  if (resRowMajor)
+  {
+    lhs = _rhs;
+    rhs = _lhs;
+    lhsStride = _rhsStride;
+    rhsStride = _lhsStride;
+    cols = _rows;
+    rows = _cols;
+    lhsRowMajor = !_rhsRowMajor;
+    ei_assert(_lhsRowMajor);
+  }
+  else
+  {
+    lhs = _lhs;
+    rhs = _rhs;
+    lhsStride = _lhsStride;
+    rhsStride = _rhsStride;
+    rows = _rows;
+    cols = _cols;
+    lhsRowMajor = _lhsRowMajor;
+    ei_assert(!_rhsRowMajor);
+  }
+
+  typedef typename ei_packet_traits<Scalar>::type PacketType;
+
+  enum {
+    PacketSize = sizeof(PacketType)/sizeof(Scalar),
+    #if (defined __i386__)
+    // i386 architecture provides only 8 xmm registers,
+    // so let's reduce the max number of rows processed at once.
+    MaxBlockRows = 4,
+    MaxBlockRows_ClampingMask = 0xFFFFFC,
+    #else
+    MaxBlockRows = 8,
+    MaxBlockRows_ClampingMask = 0xFFFFF8,
+    #endif
+    // maximal size of the blocks fitted in L2 cache
+    MaxL2BlockSize = ei_L2_block_traits<EIGEN_TUNE_FOR_CPU_CACHE_SIZE,Scalar>::width
+  };
+
+  const bool resIsAligned = (PacketSize==1) || (((resStride%PacketSize) == 0) && (size_t(res)%16==0));
+
+  const int remainingSize = depth % PacketSize;
+  const int size = depth - remainingSize; // third dimension of the product clamped to packet boundaries
+  const int l2BlockRows = MaxL2BlockSize > rows ? rows : MaxL2BlockSize;
+  const int l2BlockCols = MaxL2BlockSize > cols ? cols : MaxL2BlockSize;
+  const int l2BlockSize = MaxL2BlockSize > size ? size : MaxL2BlockSize;
+  const int l2BlockSizeAligned = (1 + std::max(l2BlockSize,l2BlockCols)/PacketSize)*PacketSize;
+  const bool needRhsCopy = (PacketSize>1) && ((rhsStride%PacketSize!=0) || (size_t(rhs)%16!=0));
+  Scalar* EIGEN_RESTRICT block = 0;
+  const int allocBlockSize = l2BlockRows*size;
+  block = ei_aligned_stack_new(Scalar, allocBlockSize);
+  Scalar* EIGEN_RESTRICT rhsCopy
+    = ei_aligned_stack_new(Scalar, l2BlockSizeAligned*l2BlockSizeAligned);
+
+  // loops on each L2 cache friendly blocks of the result
+  for(int l2i=0; l2i<rows; l2i+=l2BlockRows)
+  {
+    const int l2blockRowEnd = std::min(l2i+l2BlockRows, rows);
+    const int l2blockRowEndBW = l2blockRowEnd & MaxBlockRows_ClampingMask;    // end of the rows aligned to bw
+    const int l2blockRemainingRows = l2blockRowEnd - l2blockRowEndBW;         // number of remaining rows
+    //const int l2blockRowEndBWPlusOne = l2blockRowEndBW + (l2blockRemainingRows?0:MaxBlockRows);
+
+    // build a cache friendly blocky matrix
+    int count = 0;
+
+    // copy l2blocksize rows of m_lhs to blocks of ps x bw
+    for(int l2k=0; l2k<size; l2k+=l2BlockSize)
+    {
+      const int l2blockSizeEnd = std::min(l2k+l2BlockSize, size);
+
+      for (int i = l2i; i<l2blockRowEndBW/*PlusOne*/; i+=MaxBlockRows)
+      {
+        // TODO merge the "if l2blockRemainingRows" using something like:
+        // const int blockRows = std::min(i+MaxBlockRows, rows) - i;
+
+        for (int k=l2k; k<l2blockSizeEnd; k+=PacketSize)
+        {
+          // TODO write these loops using meta unrolling
+          // negligible for large matrices but useful for small ones
+          if (lhsRowMajor)
+          {
+            for (int w=0; w<MaxBlockRows; ++w)
+              for (int s=0; s<PacketSize; ++s)
+                block[count++] = lhs[(i+w)*lhsStride + (k+s)];
+          }
+          else
+          {
+            for (int w=0; w<MaxBlockRows; ++w)
+              for (int s=0; s<PacketSize; ++s)
+                block[count++] = lhs[(i+w) + (k+s)*lhsStride];
+          }
+        }
+      }
+      if (l2blockRemainingRows>0)
+      {
+        for (int k=l2k; k<l2blockSizeEnd; k+=PacketSize)
+        {
+          if (lhsRowMajor)
+          {
+            for (int w=0; w<l2blockRemainingRows; ++w)
+              for (int s=0; s<PacketSize; ++s)
+                block[count++] = lhs[(l2blockRowEndBW+w)*lhsStride + (k+s)];
+          }
+          else
+          {
+            for (int w=0; w<l2blockRemainingRows; ++w)
+              for (int s=0; s<PacketSize; ++s)
+                block[count++] = lhs[(l2blockRowEndBW+w) + (k+s)*lhsStride];
+          }
+        }
+      }
+    }
+
+    for(int l2j=0; l2j<cols; l2j+=l2BlockCols)
+    {
+      int l2blockColEnd = std::min(l2j+l2BlockCols, cols);
+
+      for(int l2k=0; l2k<size; l2k+=l2BlockSize)
+      {
+        // acumulate bw rows of lhs time a single column of rhs to a bw x 1 block of res
+        int l2blockSizeEnd = std::min(l2k+l2BlockSize, size);
+
+        // if not aligned, copy the rhs block
+        if (needRhsCopy)
+          for(int l1j=l2j; l1j<l2blockColEnd; l1j+=1)
+          {
+            ei_internal_assert(l2BlockSizeAligned*(l1j-l2j)+(l2blockSizeEnd-l2k) < l2BlockSizeAligned*l2BlockSizeAligned);
+            memcpy(rhsCopy+l2BlockSizeAligned*(l1j-l2j),&(rhs[l1j*rhsStride+l2k]),(l2blockSizeEnd-l2k)*sizeof(Scalar));
+          }
+
+        // for each bw x 1 result's block
+        for(int l1i=l2i; l1i<l2blockRowEndBW; l1i+=MaxBlockRows)
+        {
+          int offsetblock = l2k * (l2blockRowEnd-l2i) + (l1i-l2i)*(l2blockSizeEnd-l2k) - l2k*MaxBlockRows;
+          const Scalar* EIGEN_RESTRICT localB = &block[offsetblock];
+          
+          for(int l1j=l2j; l1j<l2blockColEnd; l1j+=1)
+          {
+            const Scalar* EIGEN_RESTRICT rhsColumn;
+            if (needRhsCopy)
+              rhsColumn = &(rhsCopy[l2BlockSizeAligned*(l1j-l2j)-l2k]);
+            else
+              rhsColumn = &(rhs[l1j*rhsStride]);
+
+            PacketType dst[MaxBlockRows];
+            dst[3] = dst[2] = dst[1] = dst[0] = ei_pset1(Scalar(0.));
+            if (MaxBlockRows==8)
+              dst[7] = dst[6] = dst[5] = dst[4] = dst[0];
+
+            PacketType tmp;
+
+            for(int k=l2k; k<l2blockSizeEnd; k+=PacketSize)
+            {
+              tmp = ei_ploadu(&rhsColumn[k]);
+              PacketType A0, A1, A2, A3, A4, A5;
+              A0 = ei_pload(localB + k*MaxBlockRows);
+              A1 = ei_pload(localB + k*MaxBlockRows+1*PacketSize);
+              A2 = ei_pload(localB + k*MaxBlockRows+2*PacketSize);
+              A3 = ei_pload(localB + k*MaxBlockRows+3*PacketSize);
+              if (MaxBlockRows==8) A4 = ei_pload(localB + k*MaxBlockRows+4*PacketSize);
+              if (MaxBlockRows==8) A5 = ei_pload(localB + k*MaxBlockRows+5*PacketSize);
+              dst[0] = ei_pmadd(tmp, A0, dst[0]);
+              if (MaxBlockRows==8) A0 = ei_pload(localB + k*MaxBlockRows+6*PacketSize);
+              dst[1] = ei_pmadd(tmp, A1, dst[1]);
+              if (MaxBlockRows==8) A1 = ei_pload(localB + k*MaxBlockRows+7*PacketSize);
+              dst[2] = ei_pmadd(tmp, A2, dst[2]);
+              dst[3] = ei_pmadd(tmp, A3, dst[3]);
+              if (MaxBlockRows==8)
+              {
+                dst[4] = ei_pmadd(tmp, A4, dst[4]);
+                dst[5] = ei_pmadd(tmp, A5, dst[5]);
+                dst[6] = ei_pmadd(tmp, A0, dst[6]);
+                dst[7] = ei_pmadd(tmp, A1, dst[7]);
+              }
+            }
+
+            Scalar* EIGEN_RESTRICT localRes = &(res[l1i + l1j*resStride]);
+
+            if (PacketSize>1 && resIsAligned)
+            {
+              // the result is aligned: let's do packet reduction
+              ei_pstore(&(localRes[0]), ei_padd(ei_pload(&(localRes[0])), ei_preduxp(&dst[0])));
+              if (PacketSize==2)
+                ei_pstore(&(localRes[2]), ei_padd(ei_pload(&(localRes[2])), ei_preduxp(&(dst[2]))));
+              if (MaxBlockRows==8)
+              {
+                ei_pstore(&(localRes[4]), ei_padd(ei_pload(&(localRes[4])), ei_preduxp(&(dst[4]))));
+                if (PacketSize==2)
+                  ei_pstore(&(localRes[6]), ei_padd(ei_pload(&(localRes[6])), ei_preduxp(&(dst[6]))));
+              }
+            }
+            else
+            {
+              // not aligned => per coeff packet reduction
+              localRes[0] += ei_predux(dst[0]);
+              localRes[1] += ei_predux(dst[1]);
+              localRes[2] += ei_predux(dst[2]);
+              localRes[3] += ei_predux(dst[3]);
+              if (MaxBlockRows==8)
+              {
+                localRes[4] += ei_predux(dst[4]);
+                localRes[5] += ei_predux(dst[5]);
+                localRes[6] += ei_predux(dst[6]);
+                localRes[7] += ei_predux(dst[7]);
+              }
+            }
+          }
+        }
+        if (l2blockRemainingRows>0)
+        {
+          int offsetblock = l2k * (l2blockRowEnd-l2i) + (l2blockRowEndBW-l2i)*(l2blockSizeEnd-l2k) - l2k*l2blockRemainingRows;
+          const Scalar* localB = &block[offsetblock];
+
+          for(int l1j=l2j; l1j<l2blockColEnd; l1j+=1)
+          {
+            const Scalar* EIGEN_RESTRICT rhsColumn;
+            if (needRhsCopy)
+              rhsColumn = &(rhsCopy[l2BlockSizeAligned*(l1j-l2j)-l2k]);
+            else
+              rhsColumn = &(rhs[l1j*rhsStride]);
+
+            PacketType dst[MaxBlockRows];
+            dst[3] = dst[2] = dst[1] = dst[0] = ei_pset1(Scalar(0.));
+            if (MaxBlockRows==8)
+              dst[7] = dst[6] = dst[5] = dst[4] = dst[0];
+
+            // let's declare a few other temporary registers
+            PacketType tmp;
+
+            for(int k=l2k; k<l2blockSizeEnd; k+=PacketSize)
+            {
+              tmp = ei_pload(&rhsColumn[k]);
+
+                                           dst[0] = ei_pmadd(tmp, ei_pload(&(localB[k*l2blockRemainingRows             ])), dst[0]);
+              if (l2blockRemainingRows>=2) dst[1] = ei_pmadd(tmp, ei_pload(&(localB[k*l2blockRemainingRows+  PacketSize])), dst[1]);
+              if (l2blockRemainingRows>=3) dst[2] = ei_pmadd(tmp, ei_pload(&(localB[k*l2blockRemainingRows+2*PacketSize])), dst[2]);
+              if (l2blockRemainingRows>=4) dst[3] = ei_pmadd(tmp, ei_pload(&(localB[k*l2blockRemainingRows+3*PacketSize])), dst[3]);
+              if (MaxBlockRows==8)
+              {
+                if (l2blockRemainingRows>=5) dst[4] = ei_pmadd(tmp, ei_pload(&(localB[k*l2blockRemainingRows+4*PacketSize])), dst[4]);
+                if (l2blockRemainingRows>=6) dst[5] = ei_pmadd(tmp, ei_pload(&(localB[k*l2blockRemainingRows+5*PacketSize])), dst[5]);
+                if (l2blockRemainingRows>=7) dst[6] = ei_pmadd(tmp, ei_pload(&(localB[k*l2blockRemainingRows+6*PacketSize])), dst[6]);
+                if (l2blockRemainingRows>=8) dst[7] = ei_pmadd(tmp, ei_pload(&(localB[k*l2blockRemainingRows+7*PacketSize])), dst[7]);
+              }
+            }
+
+            Scalar* EIGEN_RESTRICT localRes = &(res[l2blockRowEndBW + l1j*resStride]);
+
+            // process the remaining rows once at a time
+                                         localRes[0] += ei_predux(dst[0]);
+            if (l2blockRemainingRows>=2) localRes[1] += ei_predux(dst[1]);
+            if (l2blockRemainingRows>=3) localRes[2] += ei_predux(dst[2]);
+            if (l2blockRemainingRows>=4) localRes[3] += ei_predux(dst[3]);
+            if (MaxBlockRows==8)
+            {
+              if (l2blockRemainingRows>=5) localRes[4] += ei_predux(dst[4]);
+              if (l2blockRemainingRows>=6) localRes[5] += ei_predux(dst[5]);
+              if (l2blockRemainingRows>=7) localRes[6] += ei_predux(dst[6]);
+              if (l2blockRemainingRows>=8) localRes[7] += ei_predux(dst[7]);
+            }
+
+          }
+        }
+      }
+    }
+  }
+  if (PacketSize>1 && remainingSize)
+  {
+    if (lhsRowMajor)
+    {
+      for (int j=0; j<cols; ++j)
+        for (int i=0; i<rows; ++i)
+        {
+          Scalar tmp = lhs[i*lhsStride+size] * rhs[j*rhsStride+size];
+          // FIXME this loop get vectorized by the compiler !
+          for (int k=1; k<remainingSize; ++k)
+            tmp += lhs[i*lhsStride+size+k] * rhs[j*rhsStride+size+k];
+          res[i+j*resStride] += tmp;
+        }
+    }
+    else
+    {
+      for (int j=0; j<cols; ++j)
+        for (int i=0; i<rows; ++i)
+        {
+          Scalar tmp = lhs[i+size*lhsStride] * rhs[j*rhsStride+size];
+          for (int k=1; k<remainingSize; ++k)
+            tmp += lhs[i+(size+k)*lhsStride] * rhs[j*rhsStride+size+k];
+          res[i+j*resStride] += tmp;
+        }
+    }
+  }
+
+  ei_aligned_stack_delete(Scalar, block, allocBlockSize);
+  ei_aligned_stack_delete(Scalar, rhsCopy, l2BlockSizeAligned*l2BlockSizeAligned);
+}
+
+#endif // EIGEN_EXTERN_INSTANTIATIONS
+
+/* Optimized col-major matrix * vector product:
+ * This algorithm processes 4 columns at onces that allows to both reduce
+ * the number of load/stores of the result by a factor 4 and to reduce
+ * the instruction dependency. Moreover, we know that all bands have the
+ * same alignment pattern.
+ * TODO: since rhs gets evaluated only once, no need to evaluate it
+ */
+template<typename Scalar, typename RhsType>
+static EIGEN_DONT_INLINE void ei_cache_friendly_product_colmajor_times_vector(
+  int size,
+  const Scalar* lhs, int lhsStride,
+  const RhsType& rhs,
+  Scalar* res)
+{
+  #ifdef _EIGEN_ACCUMULATE_PACKETS
+  #error _EIGEN_ACCUMULATE_PACKETS has already been defined
+  #endif
+
+  #define _EIGEN_ACCUMULATE_PACKETS(A0,A13,A2,OFFSET) \
+    ei_pstore(&res[j OFFSET], \
+      ei_padd(ei_pload(&res[j OFFSET]), \
+        ei_padd( \
+          ei_padd(ei_pmul(ptmp0,ei_pload ## A0(&lhs0[j OFFSET])),ei_pmul(ptmp1,ei_pload ## A13(&lhs1[j OFFSET]))), \
+          ei_padd(ei_pmul(ptmp2,ei_pload ## A2(&lhs2[j OFFSET])),ei_pmul(ptmp3,ei_pload ## A13(&lhs3[j OFFSET]))) )))
+
+  typedef typename ei_packet_traits<Scalar>::type Packet;
+  const int PacketSize = sizeof(Packet)/sizeof(Scalar);
+
+  enum { AllAligned = 0, EvenAligned, FirstAligned, NoneAligned };
+  const int columnsAtOnce = 4;
+  const int peels = 2;
+  const int PacketAlignedMask = PacketSize-1;
+  const int PeelAlignedMask = PacketSize*peels-1;
+
+  // How many coeffs of the result do we have to skip to be aligned.
+  // Here we assume data are at least aligned on the base scalar type that is mandatory anyway.
+  const int alignedStart = ei_alignmentOffset(res,size);
+  const int alignedSize = PacketSize>1 ? alignedStart + ((size-alignedStart) & ~PacketAlignedMask) : 0;
+  const int peeledSize  = peels>1 ? alignedStart + ((alignedSize-alignedStart) & ~PeelAlignedMask) : alignedStart;
+
+  const int alignmentStep = PacketSize>1 ? (PacketSize - lhsStride % PacketSize) & PacketAlignedMask : 0;
+  int alignmentPattern = alignmentStep==0 ? AllAligned
+                       : alignmentStep==(PacketSize/2) ? EvenAligned
+                       : FirstAligned;
+
+  // we cannot assume the first element is aligned because of sub-matrices
+  const int lhsAlignmentOffset = ei_alignmentOffset(lhs,size);
+
+  // find how many columns do we have to skip to be aligned with the result (if possible)
+  int skipColumns = 0;
+  if (PacketSize>1)
+  {
+    ei_internal_assert(size_t(lhs+lhsAlignmentOffset)%sizeof(Packet)==0 || size<PacketSize);
+    
+    while (skipColumns<PacketSize &&
+           alignedStart != ((lhsAlignmentOffset + alignmentStep*skipColumns)%PacketSize))
+      ++skipColumns;
+    if (skipColumns==PacketSize)
+    {
+      // nothing can be aligned, no need to skip any column
+      alignmentPattern = NoneAligned;
+      skipColumns = 0;
+    }
+    else
+    {
+      skipColumns = std::min(skipColumns,rhs.size());
+      // note that the skiped columns are processed later.
+    }
+
+    ei_internal_assert((alignmentPattern==NoneAligned) || (size_t(lhs+alignedStart+lhsStride*skipColumns)%sizeof(Packet))==0);
+  }
+
+  int offset1 = (FirstAligned && alignmentStep==1?3:1);
+  int offset3 = (FirstAligned && alignmentStep==1?1:3);
+  
+  int columnBound = ((rhs.size()-skipColumns)/columnsAtOnce)*columnsAtOnce + skipColumns;
+  for (int i=skipColumns; i<columnBound; i+=columnsAtOnce)
+  {
+    Packet ptmp0 = ei_pset1(rhs[i]),   ptmp1 = ei_pset1(rhs[i+offset1]),
+           ptmp2 = ei_pset1(rhs[i+2]), ptmp3 = ei_pset1(rhs[i+offset3]);
+
+    // this helps a lot generating better binary code
+    const Scalar *lhs0 = lhs + i*lhsStride, *lhs1 = lhs + (i+offset1)*lhsStride,
+                 *lhs2 = lhs + (i+2)*lhsStride, *lhs3 = lhs + (i+offset3)*lhsStride;
+
+    if (PacketSize>1)
+    {
+      /* explicit vectorization */
+      // process initial unaligned coeffs
+      for (int j=0; j<alignedStart; ++j) {
+        Scalar s = ei_pfirst(ptmp0)*lhs0[j];
+        s += ei_pfirst(ptmp1)*lhs1[j]; 
+        s += ei_pfirst(ptmp2)*lhs2[j];
+        s += ei_pfirst(ptmp3)*lhs3[j];
+        res[j] += s;
+      }
+
+      if (alignedSize>alignedStart)
+      {
+        switch(alignmentPattern)
+        {
+          case AllAligned:
+            for (int j = alignedStart; j<alignedSize; j+=PacketSize)
+              _EIGEN_ACCUMULATE_PACKETS(,,,);
+            break;
+          case EvenAligned:
+            for (int j = alignedStart; j<alignedSize; j+=PacketSize)
+              _EIGEN_ACCUMULATE_PACKETS(,u,,);
+            break;
+          case FirstAligned:
+            if(peels>1)
+            {
+              Packet A00, A01, A02, A03, A10, A11, A12, A13;
+
+              A01 = ei_pload(&lhs1[alignedStart-1]);
+              A02 = ei_pload(&lhs2[alignedStart-2]);
+              A03 = ei_pload(&lhs3[alignedStart-3]);
+
+              for (int j = alignedStart; j<peeledSize; j+=peels*PacketSize)
+              {
+                A11 = ei_pload(&lhs1[j-1+PacketSize]);  ei_palign<1>(A01,A11);
+                A12 = ei_pload(&lhs2[j-2+PacketSize]);  ei_palign<2>(A02,A12);
+                A13 = ei_pload(&lhs3[j-3+PacketSize]);  ei_palign<3>(A03,A13);
+
+                A00 = ei_pload (&lhs0[j]);
+                A10 = ei_pload (&lhs0[j+PacketSize]);
+                A00 = ei_pmadd(ptmp0, A00, ei_pload(&res[j]));
+                A10 = ei_pmadd(ptmp0, A10, ei_pload(&res[j+PacketSize]));
+
+                A00 = ei_pmadd(ptmp1, A01, A00);
+                A01 = ei_pload(&lhs1[j-1+2*PacketSize]);  ei_palign<1>(A11,A01);
+                A00 = ei_pmadd(ptmp2, A02, A00);
+                A02 = ei_pload(&lhs2[j-2+2*PacketSize]);  ei_palign<2>(A12,A02);
+                A00 = ei_pmadd(ptmp3, A03, A00);
+                ei_pstore(&res[j],A00);
+                A03 = ei_pload(&lhs3[j-3+2*PacketSize]);  ei_palign<3>(A13,A03);
+                A10 = ei_pmadd(ptmp1, A11, A10);
+                A10 = ei_pmadd(ptmp2, A12, A10);
+                A10 = ei_pmadd(ptmp3, A13, A10);
+                ei_pstore(&res[j+PacketSize],A10);
+              }
+            }
+            for (int j = peeledSize; j<alignedSize; j+=PacketSize)
+              _EIGEN_ACCUMULATE_PACKETS(,u,u,);
+            break;
+          default:
+            for (int j = alignedStart; j<alignedSize; j+=PacketSize)
+              _EIGEN_ACCUMULATE_PACKETS(u,u,u,);
+            break;
+        }
+      }
+    } // end explicit vectorization
+
+    /* process remaining coeffs (or all if there is no explicit vectorization) */
+    for (int j=alignedSize; j<size; ++j)
+	  res[j] += ei_pfirst(ptmp0)*lhs0[j] + ei_pfirst(ptmp1)*lhs1[j] + ei_pfirst(ptmp2)*lhs2[j] + ei_pfirst(ptmp3)*lhs3[j];
+  }
+
+  // process remaining first and last columns (at most columnsAtOnce-1)
+  int end = rhs.size();
+  int start = columnBound;
+  do
+  {
+    for (int i=start; i<end; ++i)
+    {
+      Packet ptmp0 = ei_pset1(rhs[i]);
+      const Scalar* lhs0 = lhs + i*lhsStride;
+
+      if (PacketSize>1)
+      {
+        /* explicit vectorization */
+        // process first unaligned result's coeffs
+        for (int j=0; j<alignedStart; ++j)
+          res[j] += ei_pfirst(ptmp0) * lhs0[j];
+
+        // process aligned result's coeffs
+        if ((size_t(lhs0+alignedStart)%sizeof(Packet))==0)
+          for (int j = alignedStart;j<alignedSize;j+=PacketSize)
+            ei_pstore(&res[j], ei_pmadd(ptmp0,ei_pload(&lhs0[j]),ei_pload(&res[j])));
+        else
+          for (int j = alignedStart;j<alignedSize;j+=PacketSize)
+            ei_pstore(&res[j], ei_pmadd(ptmp0,ei_ploadu(&lhs0[j]),ei_pload(&res[j])));
+      }
+
+      // process remaining scalars (or all if no explicit vectorization)
+      for (int j=alignedSize; j<size; ++j)
+        res[j] += ei_pfirst(ptmp0) * lhs0[j];
+    }
+    if (skipColumns)
+    {
+      start = 0;
+      end = skipColumns;
+      skipColumns = 0;
+    }
+    else
+      break;
+  } while(PacketSize>1);
+  #undef _EIGEN_ACCUMULATE_PACKETS
+}
+
+// TODO add peeling to mask unaligned load/stores
+template<typename Scalar, typename ResType>
+static EIGEN_DONT_INLINE void ei_cache_friendly_product_rowmajor_times_vector(
+  const Scalar* lhs, int lhsStride,
+  const Scalar* rhs, int rhsSize,
+  ResType& res)
+{
+  #ifdef _EIGEN_ACCUMULATE_PACKETS
+  #error _EIGEN_ACCUMULATE_PACKETS has already been defined
+  #endif
+
+  #define _EIGEN_ACCUMULATE_PACKETS(A0,A13,A2,OFFSET) {\
+    Packet b = ei_pload(&rhs[j]); \
+    ptmp0 = ei_pmadd(b, ei_pload##A0 (&lhs0[j]), ptmp0); \
+    ptmp1 = ei_pmadd(b, ei_pload##A13(&lhs1[j]), ptmp1); \
+    ptmp2 = ei_pmadd(b, ei_pload##A2 (&lhs2[j]), ptmp2); \
+    ptmp3 = ei_pmadd(b, ei_pload##A13(&lhs3[j]), ptmp3); }
+
+  typedef typename ei_packet_traits<Scalar>::type Packet;
+  const int PacketSize = sizeof(Packet)/sizeof(Scalar);
+
+  enum { AllAligned=0, EvenAligned=1, FirstAligned=2, NoneAligned=3 };
+  const int rowsAtOnce = 4;
+  const int peels = 2;
+  const int PacketAlignedMask = PacketSize-1;
+  const int PeelAlignedMask = PacketSize*peels-1;
+  const int size = rhsSize;
+
+  // How many coeffs of the result do we have to skip to be aligned.
+  // Here we assume data are at least aligned on the base scalar type that is mandatory anyway.
+  const int alignedStart = ei_alignmentOffset(rhs, size);
+  const int alignedSize = PacketSize>1 ? alignedStart + ((size-alignedStart) & ~PacketAlignedMask) : 0;
+  const int peeledSize  = peels>1 ? alignedStart + ((alignedSize-alignedStart) & ~PeelAlignedMask) : alignedStart;
+
+  const int alignmentStep = PacketSize>1 ? (PacketSize - lhsStride % PacketSize) & PacketAlignedMask : 0;
+  int alignmentPattern = alignmentStep==0 ? AllAligned
+                       : alignmentStep==(PacketSize/2) ? EvenAligned
+                       : FirstAligned;
+
+  // we cannot assume the first element is aligned because of sub-matrices
+  const int lhsAlignmentOffset = ei_alignmentOffset(lhs,size);
+  
+  // find how many rows do we have to skip to be aligned with rhs (if possible)
+  int skipRows = 0;
+  if (PacketSize>1)
+  {
+    ei_internal_assert(size_t(lhs+lhsAlignmentOffset)%sizeof(Packet)==0  || size<PacketSize);
+    
+    while (skipRows<PacketSize &&
+           alignedStart != ((lhsAlignmentOffset + alignmentStep*skipRows)%PacketSize))
+      ++skipRows;
+    if (skipRows==PacketSize)
+    {
+      // nothing can be aligned, no need to skip any column
+      alignmentPattern = NoneAligned;
+      skipRows = 0;
+    }
+    else
+    {
+      skipRows = std::min(skipRows,res.size());
+      // note that the skiped columns are processed later.
+    }
+    ei_internal_assert((alignmentPattern==NoneAligned) || PacketSize==1
+      || (size_t(lhs+alignedStart+lhsStride*skipRows)%sizeof(Packet))==0);
+  }
+
+  int offset1 = (FirstAligned && alignmentStep==1?3:1);
+  int offset3 = (FirstAligned && alignmentStep==1?1:3);
+  
+  int rowBound = ((res.size()-skipRows)/rowsAtOnce)*rowsAtOnce + skipRows;
+  for (int i=skipRows; i<rowBound; i+=rowsAtOnce)
+  {
+    Scalar tmp0 = Scalar(0), tmp1 = Scalar(0), tmp2 = Scalar(0), tmp3 = Scalar(0);
+
+    // this helps the compiler generating good binary code
+    const Scalar *lhs0 = lhs + i*lhsStride,     *lhs1 = lhs + (i+offset1)*lhsStride,
+                 *lhs2 = lhs + (i+2)*lhsStride, *lhs3 = lhs + (i+offset3)*lhsStride;
+
+    if (PacketSize>1)
+    {
+      /* explicit vectorization */
+      Packet ptmp0 = ei_pset1(Scalar(0)), ptmp1 = ei_pset1(Scalar(0)), ptmp2 = ei_pset1(Scalar(0)), ptmp3 = ei_pset1(Scalar(0));
+      
+      // process initial unaligned coeffs
+      // FIXME this loop get vectorized by the compiler !
+      for (int j=0; j<alignedStart; ++j)
+      {
+        Scalar b = rhs[j];
+        tmp0 += b*lhs0[j]; tmp1 += b*lhs1[j]; tmp2 += b*lhs2[j]; tmp3 += b*lhs3[j];
+      }
+
+      if (alignedSize>alignedStart)
+      {
+        switch(alignmentPattern)
+        {
+          case AllAligned:
+            for (int j = alignedStart; j<alignedSize; j+=PacketSize)
+              _EIGEN_ACCUMULATE_PACKETS(,,,);
+            break;
+          case EvenAligned:
+            for (int j = alignedStart; j<alignedSize; j+=PacketSize)
+              _EIGEN_ACCUMULATE_PACKETS(,u,,);
+            break;
+          case FirstAligned:
+            if (peels>1)
+            {
+              /* Here we proccess 4 rows with with two peeled iterations to hide
+               * tghe overhead of unaligned loads. Moreover unaligned loads are handled
+               * using special shift/move operations between the two aligned packets
+               * overlaping the desired unaligned packet. This is *much* more efficient
+               * than basic unaligned loads.
+               */
+              Packet A01, A02, A03, b, A11, A12, A13;
+              A01 = ei_pload(&lhs1[alignedStart-1]);
+              A02 = ei_pload(&lhs2[alignedStart-2]);
+              A03 = ei_pload(&lhs3[alignedStart-3]);
+
+              for (int j = alignedStart; j<peeledSize; j+=peels*PacketSize)
+              {
+                b = ei_pload(&rhs[j]);
+                A11 = ei_pload(&lhs1[j-1+PacketSize]);  ei_palign<1>(A01,A11);
+                A12 = ei_pload(&lhs2[j-2+PacketSize]);  ei_palign<2>(A02,A12);
+                A13 = ei_pload(&lhs3[j-3+PacketSize]);  ei_palign<3>(A03,A13);
+
+                ptmp0 = ei_pmadd(b, ei_pload (&lhs0[j]), ptmp0);
+                ptmp1 = ei_pmadd(b, A01, ptmp1);
+                A01 = ei_pload(&lhs1[j-1+2*PacketSize]);  ei_palign<1>(A11,A01);
+                ptmp2 = ei_pmadd(b, A02, ptmp2);
+                A02 = ei_pload(&lhs2[j-2+2*PacketSize]);  ei_palign<2>(A12,A02);
+                ptmp3 = ei_pmadd(b, A03, ptmp3);
+                A03 = ei_pload(&lhs3[j-3+2*PacketSize]);  ei_palign<3>(A13,A03);
+
+                b = ei_pload(&rhs[j+PacketSize]);
+                ptmp0 = ei_pmadd(b, ei_pload (&lhs0[j+PacketSize]), ptmp0);
+                ptmp1 = ei_pmadd(b, A11, ptmp1);
+                ptmp2 = ei_pmadd(b, A12, ptmp2);
+                ptmp3 = ei_pmadd(b, A13, ptmp3);
+              }
+            }
+            for (int j = peeledSize; j<alignedSize; j+=PacketSize)
+              _EIGEN_ACCUMULATE_PACKETS(,u,u,);
+            break;
+          default:
+            for (int j = alignedStart; j<alignedSize; j+=PacketSize)
+              _EIGEN_ACCUMULATE_PACKETS(u,u,u,);
+            break;
+        }
+        tmp0 += ei_predux(ptmp0);
+        tmp1 += ei_predux(ptmp1);
+        tmp2 += ei_predux(ptmp2);
+        tmp3 += ei_predux(ptmp3);
+      }
+    } // end explicit vectorization
+
+    // process remaining coeffs (or all if no explicit vectorization)
+    // FIXME this loop get vectorized by the compiler !
+    for (int j=alignedSize; j<size; ++j)
+    {
+      Scalar b = rhs[j];
+      tmp0 += b*lhs0[j]; tmp1 += b*lhs1[j]; tmp2 += b*lhs2[j]; tmp3 += b*lhs3[j];
+    }
+    res[i] += tmp0; res[i+offset1] += tmp1; res[i+2] += tmp2; res[i+offset3] += tmp3;
+  }
+
+  // process remaining first and last rows (at most columnsAtOnce-1)
+  int end = res.size();
+  int start = rowBound;
+  do
+  {
+    for (int i=start; i<end; ++i)
+    {
+      Scalar tmp0 = Scalar(0);
+      Packet ptmp0 = ei_pset1(tmp0);
+      const Scalar* lhs0 = lhs + i*lhsStride;
+      // process first unaligned result's coeffs
+      // FIXME this loop get vectorized by the compiler !
+      for (int j=0; j<alignedStart; ++j)
+        tmp0 += rhs[j] * lhs0[j];
+
+      if (alignedSize>alignedStart)
+      {
+        // process aligned rhs coeffs
+        if ((size_t(lhs0+alignedStart)%sizeof(Packet))==0)
+          for (int j = alignedStart;j<alignedSize;j+=PacketSize)
+            ptmp0 = ei_pmadd(ei_pload(&rhs[j]), ei_pload(&lhs0[j]), ptmp0);
+        else
+          for (int j = alignedStart;j<alignedSize;j+=PacketSize)
+            ptmp0 = ei_pmadd(ei_pload(&rhs[j]), ei_ploadu(&lhs0[j]), ptmp0);
+        tmp0 += ei_predux(ptmp0);
+      }
+
+      // process remaining scalars
+      // FIXME this loop get vectorized by the compiler !
+      for (int j=alignedSize; j<size; ++j)
+        tmp0 += rhs[j] * lhs0[j];
+      res[i] += tmp0;
+    }
+    if (skipRows)
+    {
+      start = 0;
+      end = skipRows;
+      skipRows = 0;
+    }
+    else
+      break;
+  } while(PacketSize>1);
+
+  #undef _EIGEN_ACCUMULATE_PACKETS
+}
+
+#endif // EIGEN_CACHE_FRIENDLY_PRODUCT_H
--- a/Eigen/src/Core/Coeffs.h
+++ b/Eigen/src/Core/Coeffs.h
@@ -0,0 +1,384 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra. Eigen itself is part of the KDE project.
+//
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// Eigen is free software; you can redistribute it and/or
+// modify it under the terms of the GNU Lesser General Public
+// License as published by the Free Software Foundation; either
+// version 3 of the License, or (at your option) any later version.
+//
+// Alternatively, you can redistribute it and/or
+// modify it under the terms of the GNU General Public License as
+// published by the Free Software Foundation; either version 2 of
+// the License, or (at your option) any later version.
+//
+// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
+// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
+// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
+// GNU General Public License for more details.
+//
+// You should have received a copy of the GNU Lesser General Public
+// License and a copy of the GNU General Public License along with
+// Eigen. If not, see <http://www.gnu.org/licenses/>.
+
+#ifndef EIGEN_COEFFS_H
+#define EIGEN_COEFFS_H
+
+/** Short version: don't use this function, use
+  * \link operator()(int,int) const \endlink instead.
+  *
+  * Long version: this function is similar to
+  * \link operator()(int,int) const \endlink, but without the assertion.
+  * Use this for limiting the performance cost of debugging code when doing
+  * repeated coefficient access. Only use this when it is guaranteed that the
+  * parameters \a row and \a col are in range.
+  *
+  * If EIGEN_INTERNAL_DEBUGGING is defined, an assertion will be made, making this
+  * function equivalent to \link operator()(int,int) const \endlink.
+  *
+  * \sa operator()(int,int) const, coeffRef(int,int), coeff(int) const
+  */
+template<typename Derived>
+EIGEN_STRONG_INLINE const typename ei_traits<Derived>::Scalar MatrixBase<Derived>
+  ::coeff(int row, int col) const
+{
+  ei_internal_assert(row >= 0 && row < rows()
+                     && col >= 0 && col < cols());
+  return derived().coeff(row, col);
+}
+
+/** \returns the coefficient at given the given row and column.
+  *
+  * \sa operator()(int,int), operator[](int) const
+  */
+template<typename Derived>
+EIGEN_STRONG_INLINE const typename ei_traits<Derived>::Scalar MatrixBase<Derived>
+  ::operator()(int row, int col) const
+{
+  ei_assert(row >= 0 && row < rows()
+      && col >= 0 && col < cols());
+  return derived().coeff(row, col);
+}
+
+/** Short version: don't use this function, use
+  * \link operator()(int,int) \endlink instead.
+  *
+  * Long version: this function is similar to
+  * \link operator()(int,int) \endlink, but without the assertion.
+  * Use this for limiting the performance cost of debugging code when doing
+  * repeated coefficient access. Only use this when it is guaranteed that the
+  * parameters \a row and \a col are in range.
+  *
+  * If EIGEN_INTERNAL_DEBUGGING is defined, an assertion will be made, making this
+  * function equivalent to \link operator()(int,int) \endlink.
+  *
+  * \sa operator()(int,int), coeff(int, int) const, coeffRef(int)
+  */
+template<typename Derived>
+EIGEN_STRONG_INLINE typename ei_traits<Derived>::Scalar& MatrixBase<Derived>
+  ::coeffRef(int row, int col)
+{
+  ei_internal_assert(row >= 0 && row < rows()
+                     && col >= 0 && col < cols());
+  return derived().coeffRef(row, col);
+}
+
+/** \returns a reference to the coefficient at given the given row and column.
+  *
+  * \sa operator()(int,int) const, operator[](int)
+  */
+template<typename Derived>
+EIGEN_STRONG_INLINE typename ei_traits<Derived>::Scalar& MatrixBase<Derived>
+  ::operator()(int row, int col)
+{
+  ei_assert(row >= 0 && row < rows()
+      && col >= 0 && col < cols());
+  return derived().coeffRef(row, col);
+}
+
+/** Short version: don't use this function, use
+  * \link operator[](int) const \endlink instead.
+  *
+  * Long version: this function is similar to
+  * \link operator[](int) const \endlink, but without the assertion.
+  * Use this for limiting the performance cost of debugging code when doing
+  * repeated coefficient access. Only use this when it is guaranteed that the
+  * parameter \a index is in range.
+  *
+  * If EIGEN_INTERNAL_DEBUGGING is defined, an assertion will be made, making this
+  * function equivalent to \link operator[](int) const \endlink.
+  *
+  * \sa operator[](int) const, coeffRef(int), coeff(int,int) const
+  */
+template<typename Derived>
+EIGEN_STRONG_INLINE const typename ei_traits<Derived>::Scalar MatrixBase<Derived>
+  ::coeff(int index) const
+{
+  ei_internal_assert(index >= 0 && index < size());
+  return derived().coeff(index);
+}
+
+/** \returns the coefficient at given index.
+  *
+  * This method is allowed only for vector expressions, and for matrix expressions having the LinearAccessBit.
+  *
+  * \sa operator[](int), operator()(int,int) const, x() const, y() const,
+  * z() const, w() const
+  */
+template<typename Derived>
+EIGEN_STRONG_INLINE const typename ei_traits<Derived>::Scalar MatrixBase<Derived>
+  ::operator[](int index) const
+{
+  ei_assert(index >= 0 && index < size());
+  return derived().coeff(index);
+}
+
+/** \returns the coefficient at given index.
+  *
+  * This is synonymous to operator[](int) const.
+  *
+  * This method is allowed only for vector expressions, and for matrix expressions having the LinearAccessBit.
+  *
+  * \sa operator[](int), operator()(int,int) const, x() const, y() const,
+  * z() const, w() const
+  */
+template<typename Derived>
+EIGEN_STRONG_INLINE const typename ei_traits<Derived>::Scalar MatrixBase<Derived>
+  ::operator()(int index) const
+{
+  ei_assert(index >= 0 && index < size());
+  return derived().coeff(index);
+}
+
+/** Short version: don't use this function, use
+  * \link operator[](int) \endlink instead.
+  *
+  * Long version: this function is similar to
+  * \link operator[](int) \endlink, but without the assertion.
+  * Use this for limiting the performance cost of debugging code when doing
+  * repeated coefficient access. Only use this when it is guaranteed that the
+  * parameters \a row and \a col are in range.
+  *
+  * If EIGEN_INTERNAL_DEBUGGING is defined, an assertion will be made, making this
+  * function equivalent to \link operator[](int) \endlink.
+  *
+  * \sa operator[](int), coeff(int) const, coeffRef(int,int)
+  */
+template<typename Derived>
+EIGEN_STRONG_INLINE typename ei_traits<Derived>::Scalar& MatrixBase<Derived>
+  ::coeffRef(int index)
+{
+  ei_internal_assert(index >= 0 && index < size());
+  return derived().coeffRef(index);
+}
+
+/** \returns a reference to the coefficient at given index.
+  *
+  * This method is allowed only for vector expressions, and for matrix expressions having the LinearAccessBit.
+  *
+  * \sa operator[](int) const, operator()(int,int), x(), y(), z(), w()
+  */
+template<typename Derived>
+EIGEN_STRONG_INLINE typename ei_traits<Derived>::Scalar& MatrixBase<Derived>
+  ::operator[](int index)
+{
+  ei_assert(index >= 0 && index < size());
+  return derived().coeffRef(index);
+}
+
+/** \returns a reference to the coefficient at given index.
+  *
+  * This is synonymous to operator[](int).
+  *
+  * This method is allowed only for vector expressions, and for matrix expressions having the LinearAccessBit.
+  *
+  * \sa operator[](int) const, operator()(int,int), x(), y(), z(), w()
+  */
+template<typename Derived>
+EIGEN_STRONG_INLINE typename ei_traits<Derived>::Scalar& MatrixBase<Derived>
+  ::operator()(int index)
+{
+  ei_assert(index >= 0 && index < size());
+  return derived().coeffRef(index);
+}
+
+/** equivalent to operator[](0).  */
+template<typename Derived>
+EIGEN_STRONG_INLINE const typename ei_traits<Derived>::Scalar MatrixBase<Derived>
+  ::x() const { return (*this)[0]; }
+
+/** equivalent to operator[](1).  */
+template<typename Derived>
+EIGEN_STRONG_INLINE const typename ei_traits<Derived>::Scalar MatrixBase<Derived>
+  ::y() const { return (*this)[1]; }
+
+/** equivalent to operator[](2).  */
+template<typename Derived>
+EIGEN_STRONG_INLINE const typename ei_traits<Derived>::Scalar MatrixBase<Derived>
+  ::z() const { return (*this)[2]; }
+
+/** equivalent to operator[](3).  */
+template<typename Derived>
+EIGEN_STRONG_INLINE const typename ei_traits<Derived>::Scalar MatrixBase<Derived>
+  ::w() const { return (*this)[3]; }
+
+/** equivalent to operator[](0).  */
+template<typename Derived>
+EIGEN_STRONG_INLINE typename ei_traits<Derived>::Scalar& MatrixBase<Derived>
+  ::x() { return (*this)[0]; }
+
+/** equivalent to operator[](1).  */
+template<typename Derived>
+EIGEN_STRONG_INLINE typename ei_traits<Derived>::Scalar& MatrixBase<Derived>
+  ::y() { return (*this)[1]; }
+
+/** equivalent to operator[](2).  */
+template<typename Derived>
+EIGEN_STRONG_INLINE typename ei_traits<Derived>::Scalar& MatrixBase<Derived>
+  ::z() { return (*this)[2]; }
+
+/** equivalent to operator[](3).  */
+template<typename Derived>
+EIGEN_STRONG_INLINE typename ei_traits<Derived>::Scalar& MatrixBase<Derived>
+  ::w() { return (*this)[3]; }
+
+/** \returns the packet of coefficients starting at the given row and column. It is your responsibility
+  * to ensure that a packet really starts there. This method is only available on expressions having the
+  * PacketAccessBit.
+  *
+  * The \a LoadMode parameter may have the value \a Aligned or \a Unaligned. Its effect is to select
+  * the appropriate vectorization instruction. Aligned access is faster, but is only possible for packets
+  * starting at an address which is a multiple of the packet size.
+  */
+template<typename Derived>
+template<int LoadMode>
+EIGEN_STRONG_INLINE typename ei_packet_traits<typename ei_traits<Derived>::Scalar>::type
+MatrixBase<Derived>::packet(int row, int col) const
+{
+  ei_internal_assert(row >= 0 && row < rows()
+                     && col >= 0 && col < cols());
+  return derived().template packet<LoadMode>(row,col);
+}
+
+/** Stores the given packet of coefficients, at the given row and column of this expression. It is your responsibility
+  * to ensure that a packet really starts there. This method is only available on expressions having the
+  * PacketAccessBit.
+  *
+  * The \a LoadMode parameter may have the value \a Aligned or \a Unaligned. Its effect is to select
+  * the appropriate vectorization instruction. Aligned access is faster, but is only possible for packets
+  * starting at an address which is a multiple of the packet size.
+  */
+template<typename Derived>
+template<int StoreMode>
+EIGEN_STRONG_INLINE void MatrixBase<Derived>::writePacket
+(int row, int col, const typename ei_packet_traits<typename ei_traits<Derived>::Scalar>::type& x)
+{
+  ei_internal_assert(row >= 0 && row < rows()
+                     && col >= 0 && col < cols());
+  derived().template writePacket<StoreMode>(row,col,x);
+}
+
+/** \returns the packet of coefficients starting at the given index. It is your responsibility
+  * to ensure that a packet really starts there. This method is only available on expressions having the
+  * PacketAccessBit and the LinearAccessBit.
+  *
+  * The \a LoadMode parameter may have the value \a Aligned or \a Unaligned. Its effect is to select
+  * the appropriate vectorization instruction. Aligned access is faster, but is only possible for packets
+  * starting at an address which is a multiple of the packet size.
+  */
+template<typename Derived>
+template<int LoadMode>
+EIGEN_STRONG_INLINE typename ei_packet_traits<typename ei_traits<Derived>::Scalar>::type
+MatrixBase<Derived>::packet(int index) const
+{
+  ei_internal_assert(index >= 0 && index < size());
+  return derived().template packet<LoadMode>(index);
+}
+
+/** Stores the given packet of coefficients, at the given index in this expression. It is your responsibility
+  * to ensure that a packet really starts there. This method is only available on expressions having the
+  * PacketAccessBit and the LinearAccessBit.
+  *
+  * The \a LoadMode parameter may have the value \a Aligned or \a Unaligned. Its effect is to select
+  * the appropriate vectorization instruction. Aligned access is faster, but is only possible for packets
+  * starting at an address which is a multiple of the packet size.
+  */
+template<typename Derived>
+template<int StoreMode>
+EIGEN_STRONG_INLINE void MatrixBase<Derived>::writePacket
+(int index, const typename ei_packet_traits<typename ei_traits<Derived>::Scalar>::type& x)
+{
+  ei_internal_assert(index >= 0 && index < size());
+  derived().template writePacket<StoreMode>(index,x);
+}
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+
+/** \internal Copies the coefficient at position (row,col) of other into *this.
+  *
+  * This method is overridden in SwapWrapper, allowing swap() assignments to share 99% of their code
+  * with usual assignments.
+  *
+  * Outside of this internal usage, this method has probably no usefulness. It is hidden in the public API dox.
+  */
+template<typename Derived>
+template<typename OtherDerived>
+EIGEN_STRONG_INLINE void MatrixBase<Derived>::copyCoeff(int row, int col, const MatrixBase<OtherDerived>& other)
+{
+  ei_internal_assert(row >= 0 && row < rows()
+                     && col >= 0 && col < cols());
+  derived().coeffRef(row, col) = other.derived().coeff(row, col);
+}
+
+/** \internal Copies the coefficient at the given index of other into *this.
+  *
+  * This method is overridden in SwapWrapper, allowing swap() assignments to share 99% of their code
+  * with usual assignments.
+  *
+  * Outside of this internal usage, this method has probably no usefulness. It is hidden in the public API dox.
+  */
+template<typename Derived>
+template<typename OtherDerived>
+EIGEN_STRONG_INLINE void MatrixBase<Derived>::copyCoeff(int index, const MatrixBase<OtherDerived>& other)
+{
+  ei_internal_assert(index >= 0 && index < size());
+  derived().coeffRef(index) = other.derived().coeff(index);
+}
+
+/** \internal Copies the packet at position (row,col) of other into *this.
+  *
+  * This method is overridden in SwapWrapper, allowing swap() assignments to share 99% of their code
+  * with usual assignments.
+  *
+  * Outside of this internal usage, this method has probably no usefulness. It is hidden in the public API dox.
+  */
+template<typename Derived>
+template<typename OtherDerived, int StoreMode, int LoadMode>
+EIGEN_STRONG_INLINE void MatrixBase<Derived>::copyPacket(int row, int col, const MatrixBase<OtherDerived>& other)
+{
+  ei_internal_assert(row >= 0 && row < rows()
+                     && col >= 0 && col < cols());
+  derived().template writePacket<StoreMode>(row, col,
+    other.derived().template packet<LoadMode>(row, col));
+}
+
+/** \internal Copies the packet at the given index of other into *this.
+  *
+  * This method is overridden in SwapWrapper, allowing swap() assignments to share 99% of their code
+  * with usual assignments.
+  *
+  * Outside of this internal usage, this method has probably no usefulness. It is hidden in the public API dox.
+  */
+template<typename Derived>
+template<typename OtherDerived, int StoreMode, int LoadMode>
+EIGEN_STRONG_INLINE void MatrixBase<Derived>::copyPacket(int index, const MatrixBase<OtherDerived>& other)
+{
+  ei_internal_assert(index >= 0 && index < size());
+  derived().template writePacket<StoreMode>(index,
+    other.derived().template packet<LoadMode>(index));
+}
+
+#endif
+
+#endif // EIGEN_COEFFS_H
--- a/Eigen/src/Core/CommaInitializer.h
+++ b/Eigen/src/Core/CommaInitializer.h
@@ -1,7 +1,7 @@
 // This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
+// for linear algebra. Eigen itself is part of the KDE project.
 //
-// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
 // Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
 //
 // Eigen is free software; you can redistribute it and/or
@@ -26,10 +26,7 @@
 #ifndef EIGEN_COMMAINITIALIZER_H
 #define EIGEN_COMMAINITIALIZER_H

-namespace Eigen { 
-
 /** \class CommaInitializer
-  * \ingroup Core_Module
  *
  * \brief Helper class used by the comma initializer operator
  *
@@ -39,72 +36,70 @@ namespace Eigen {
  *
  * \sa \ref MatrixBaseCommaInitRef "MatrixBase::operator<<", CommaInitializer::finished()
  */
-template<typename XprType>
+template<typename MatrixType>
 struct CommaInitializer
 {
-  typedef typename XprType::Scalar Scalar;
-  typedef typename XprType::Index Index;
-
-  inline CommaInitializer(XprType& xpr, const Scalar& s)
-    : m_xpr(xpr), m_row(0), m_col(1), m_currentBlockRows(1)
+  typedef typename ei_traits<MatrixType>::Scalar Scalar;
+  inline CommaInitializer(MatrixType& mat, const Scalar& s)
+    : m_matrix(mat), m_row(0), m_col(1), m_currentBlockRows(1)
  {
-    m_xpr.coeffRef(0,0) = s;
+    m_matrix.coeffRef(0,0) = s;
  }

  template<typename OtherDerived>
-  inline CommaInitializer(XprType& xpr, const DenseBase<OtherDerived>& other)
-    : m_xpr(xpr), m_row(0), m_col(other.cols()), m_currentBlockRows(other.rows())
+  inline CommaInitializer(MatrixType& mat, const MatrixBase<OtherDerived>& other)
+    : m_matrix(mat), m_row(0), m_col(other.cols()), m_currentBlockRows(other.rows())
  {
-    m_xpr.block(0, 0, other.rows(), other.cols()) = other;
+    m_matrix.block(0, 0, other.rows(), other.cols()) = other;
  }

  /* inserts a scalar value in the target matrix */
  CommaInitializer& operator,(const Scalar& s)
  {
-    if (m_col==m_xpr.cols())
+    if (m_col==m_matrix.cols())
    {
      m_row+=m_currentBlockRows;
      m_col = 0;
      m_currentBlockRows = 1;
-      eigen_assert(m_row<m_xpr.rows()
+      ei_assert(m_row<m_matrix.rows()
        && "Too many rows passed to comma initializer (operator<<)");
    }
-    eigen_assert(m_col<m_xpr.cols()
+    ei_assert(m_col<m_matrix.cols()
      && "Too many coefficients passed to comma initializer (operator<<)");
-    eigen_assert(m_currentBlockRows==1);
-    m_xpr.coeffRef(m_row, m_col++) = s;
+    ei_assert(m_currentBlockRows==1);
+    m_matrix.coeffRef(m_row, m_col++) = s;
    return *this;
  }

  /* inserts a matrix expression in the target matrix */
  template<typename OtherDerived>
-  CommaInitializer& operator,(const DenseBase<OtherDerived>& other)
+  CommaInitializer& operator,(const MatrixBase<OtherDerived>& other)
  {
-    if (m_col==m_xpr.cols())
+    if (m_col==m_matrix.cols())
    {
      m_row+=m_currentBlockRows;
      m_col = 0;
      m_currentBlockRows = other.rows();
-      eigen_assert(m_row+m_currentBlockRows<=m_xpr.rows()
+      ei_assert(m_row+m_currentBlockRows<=m_matrix.rows()
        && "Too many rows passed to comma initializer (operator<<)");
    }
-    eigen_assert(m_col<m_xpr.cols()
+    ei_assert(m_col<m_matrix.cols()
      && "Too many coefficients passed to comma initializer (operator<<)");
-    eigen_assert(m_currentBlockRows==other.rows());
+    ei_assert(m_currentBlockRows==other.rows());
    if (OtherDerived::SizeAtCompileTime != Dynamic)
-      m_xpr.template block<OtherDerived::RowsAtCompileTime != Dynamic ? OtherDerived::RowsAtCompileTime : 1,
+      m_matrix.template block<OtherDerived::RowsAtCompileTime != Dynamic ? OtherDerived::RowsAtCompileTime : 1,
                              OtherDerived::ColsAtCompileTime != Dynamic ? OtherDerived::ColsAtCompileTime : 1>
                    (m_row, m_col) = other;
    else
-      m_xpr.block(m_row, m_col, other.rows(), other.cols()) = other;
+      m_matrix.block(m_row, m_col, other.rows(), other.cols()) = other;
    m_col += other.cols();
    return *this;
  }

  inline ~CommaInitializer()
  {
-    eigen_assert((m_row+m_currentBlockRows) == m_xpr.rows()
-         && m_col == m_xpr.cols()
+    ei_assert((m_row+m_currentBlockRows) == m_matrix.rows()
+         && m_col == m_matrix.cols()
         && "Too few coefficients passed to comma initializer (operator<<)");
  }

@@ -115,12 +110,12 @@ struct CommaInitializer
    * quaternion.fromRotationMatrix((Matrix3f() << axis0, axis1, axis2).finished());
    * \endcode
    */
-  inline XprType& finished() { return m_xpr; }
+  inline MatrixType& finished() { return m_matrix; }

-  XprType& m_xpr;   // target expression
-  Index m_row;              // current row id
-  Index m_col;              // current col id
-  Index m_currentBlockRows; // current block height
+  MatrixType& m_matrix;   // target matrix
+  int m_row;              // current row id
+  int m_col;              // current col id
+  int m_currentBlockRows; // current block height
 };

 /** \anchor MatrixBaseCommaInitRef
@@ -129,13 +124,15 @@ struct CommaInitializer
  * The coefficients must be provided in a row major order and exactly match
  * the size of the matrix. Otherwise an assertion is raised.
  *
+  * \addexample CommaInit \label How to easily set all the coefficients of a matrix
+  *
  * Example: \include MatrixBase_set.cpp
  * Output: \verbinclude MatrixBase_set.out
  *
  * \sa CommaInitializer::finished(), class CommaInitializer
  */
 template<typename Derived>
-inline CommaInitializer<Derived> DenseBase<Derived>::operator<< (const Scalar& s)
+inline CommaInitializer<Derived> MatrixBase<Derived>::operator<< (const Scalar& s)
 {
  return CommaInitializer<Derived>(*static_cast<Derived*>(this), s);
 }
@@ -144,11 +141,9 @@ inline CommaInitializer<Derived> DenseBase<Derived>::operator<< (const Scalar& s
 template<typename Derived>
 template<typename OtherDerived>
 inline CommaInitializer<Derived>
-DenseBase<Derived>::operator<<(const DenseBase<OtherDerived>& other)
+MatrixBase<Derived>::operator<<(const MatrixBase<OtherDerived>& other)
 {
  return CommaInitializer<Derived>(*static_cast<Derived *>(this), other);
 }

-} // end namespace Eigen
-
 #endif // EIGEN_COMMAINITIALIZER_H
--- a/test/eigen2/eigen2_commainitializer.cpp
+++ b/test/eigen2/eigen2_commainitializer.cpp
@@ -22,40 +22,26 @@
 // License and a copy of the GNU General Public License along with
 // Eigen. If not, see <http://www.gnu.org/licenses/>.

-#include "main.h"
+#ifdef EIGEN_EXTERN_INSTANTIATIONS
+#undef EIGEN_EXTERN_INSTANTIATIONS
+#endif

-void test_eigen2_commainitializer()
+#include "../../Core"
+
+namespace Eigen
 {
-  Matrix3d m3;
-  Matrix4d m4;

-  VERIFY_RAISES_ASSERT( (m3 << 1, 2, 3, 4, 5, 6, 7, 8) );
-  
-  #ifndef _MSC_VER
-  VERIFY_RAISES_ASSERT( (m3 << 1, 2, 3, 4, 5, 6, 7, 8, 9, 10) );
-  #endif
+#define EIGEN_INSTANTIATE_PRODUCT(TYPE) \
+template static void ei_cache_friendly_product<TYPE>( \
+  int _rows, int _cols, int depth, \
+  bool _lhsRowMajor, const TYPE* _lhs, int _lhsStride, \
+  bool _rhsRowMajor, const TYPE* _rhs, int _rhsStride, \
+  bool resRowMajor, TYPE* res, int resStride)

-  double data[] = {1, 2, 3, 4, 5, 6, 7, 8, 9};
-  Matrix3d ref = Map<Matrix<double,3,3,RowMajor> >(data);
+EIGEN_INSTANTIATE_PRODUCT(float);
+EIGEN_INSTANTIATE_PRODUCT(double);
+EIGEN_INSTANTIATE_PRODUCT(int);
+EIGEN_INSTANTIATE_PRODUCT(std::complex<float>);
+EIGEN_INSTANTIATE_PRODUCT(std::complex<double>);

-  m3 = Matrix3d::Random();
-  m3 << 1, 2, 3, 4, 5, 6, 7, 8, 9;
-  VERIFY_IS_APPROX(m3, ref );
-
-  Vector3d vec[3];
-  vec[0] << 1, 4, 7;
-  vec[1] << 2, 5, 8;
-  vec[2] << 3, 6, 9;
-  m3 = Matrix3d::Random();
-  m3 << vec[0], vec[1], vec[2];
-  VERIFY_IS_APPROX(m3, ref);
-
-  vec[0] << 1, 2, 3;
-  vec[1] << 4, 5, 6;
-  vec[2] << 7, 8, 9;
-  m3 = Matrix3d::Random();
-  m3 << vec[0].transpose(),
-        4, 5, 6,
-        vec[2].transpose();
-  VERIFY_IS_APPROX(m3, ref);
 }
--- a/Eigen/src/Eigen2Support/Cwise.h
+++ b/Eigen/src/Eigen2Support/Cwise.h
@@ -1,7 +1,7 @@
 // This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
+// for linear algebra. Eigen itself is part of the KDE project.
 //
-// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
 // Copyright (C) 2008 Benoit Jacob <jacob.benoit.1@gmail.com>
 //
 // Eigen is free software; you can redistribute it and/or
@@ -26,23 +26,33 @@
 #ifndef EIGEN_CWISE_H
 #define EIGEN_CWISE_H

-namespace Eigen { 
-
 /** \internal
  * convenient macro to defined the return type of a cwise binary operation */
 #define EIGEN_CWISE_BINOP_RETURN_TYPE(OP) \
-    CwiseBinaryOp<OP<typename internal::traits<ExpressionType>::Scalar>, ExpressionType, OtherDerived>
+    CwiseBinaryOp<OP<typename ei_traits<ExpressionType>::Scalar>, ExpressionType, OtherDerived>
+
+#define EIGEN_CWISE_PRODUCT_RETURN_TYPE \
+    CwiseBinaryOp< \
+      ei_scalar_product_op< \
+        typename ei_scalar_product_traits< \
+          typename ei_traits<ExpressionType>::Scalar, \
+          typename ei_traits<OtherDerived>::Scalar \
+        >::ReturnType \
+      >, \
+      ExpressionType, \
+      OtherDerived \
+    >

 /** \internal
  * convenient macro to defined the return type of a cwise unary operation */
 #define EIGEN_CWISE_UNOP_RETURN_TYPE(OP) \
-    CwiseUnaryOp<OP<typename internal::traits<ExpressionType>::Scalar>, ExpressionType>
+    CwiseUnaryOp<OP<typename ei_traits<ExpressionType>::Scalar>, ExpressionType>

 /** \internal
  * convenient macro to defined the return type of a cwise comparison to a scalar */
 #define EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE(OP) \
-    CwiseBinaryOp<OP<typename internal::traits<ExpressionType>::Scalar>, ExpressionType, \
-        typename ExpressionType::ConstantReturnType >
+    CwiseBinaryOp<OP<typename ei_traits<ExpressionType>::Scalar>, ExpressionType, \
+        NestByValue<typename ExpressionType::ConstantReturnType> >

 /** \class Cwise
  *
@@ -54,22 +64,21 @@ namespace Eigen {
  * It is the return type of MatrixBase::cwise()
  * and most of the time this is the only way it is used.
  *
+  * Note that some methods are defined in the \ref Array module.
+  *
  * Example: \include MatrixBase_cwise_const.cpp
  * Output: \verbinclude MatrixBase_cwise_const.out
  *
-  * This class can be extended with the help of the plugin mechanism described on the page
-  * \ref TopicCustomizingEigen by defining the preprocessor symbol \c EIGEN_CWISE_PLUGIN.
-  *
  * \sa MatrixBase::cwise() const, MatrixBase::cwise()
  */
 template<typename ExpressionType> class Cwise
 {
  public:

-    typedef typename internal::traits<ExpressionType>::Scalar Scalar;
-    typedef typename internal::conditional<internal::must_nest_by_value<ExpressionType>::ret,
-        ExpressionType, const ExpressionType&>::type ExpressionTypeNested;
-    typedef CwiseUnaryOp<internal::scalar_add_op<Scalar>, ExpressionType> ScalarAddReturnType;
+    typedef typename ei_traits<ExpressionType>::Scalar Scalar;
+    typedef typename ei_meta_if<ei_must_nest_by_value<ExpressionType>::ret,
+        ExpressionType, const ExpressionType&>::ret ExpressionTypeNested;
+    typedef CwiseUnaryOp<ei_scalar_add_op<Scalar>, ExpressionType> ScalarAddReturnType;

    inline Cwise(const ExpressionType& matrix) : m_matrix(matrix) {}

@@ -77,36 +86,32 @@ template<typename ExpressionType> class Cwise
    inline const ExpressionType& _expression() const { return m_matrix; }

    template<typename OtherDerived>
-    const EIGEN_CWISE_PRODUCT_RETURN_TYPE(ExpressionType,OtherDerived)
+    const EIGEN_CWISE_PRODUCT_RETURN_TYPE
    operator*(const MatrixBase<OtherDerived> &other) const;

    template<typename OtherDerived>
-    const EIGEN_CWISE_BINOP_RETURN_TYPE(internal::scalar_quotient_op)
+    const EIGEN_CWISE_BINOP_RETURN_TYPE(ei_scalar_quotient_op)
    operator/(const MatrixBase<OtherDerived> &other) const;

-    /** \deprecated ArrayBase::min() */
    template<typename OtherDerived>
-    const EIGEN_CWISE_BINOP_RETURN_TYPE(internal::scalar_min_op)
-    (min)(const MatrixBase<OtherDerived> &other) const
-    { return EIGEN_CWISE_BINOP_RETURN_TYPE(internal::scalar_min_op)(_expression(), other.derived()); }
+    const EIGEN_CWISE_BINOP_RETURN_TYPE(ei_scalar_min_op)
+    min(const MatrixBase<OtherDerived> &other) const;

-    /** \deprecated ArrayBase::max() */
    template<typename OtherDerived>
-    const EIGEN_CWISE_BINOP_RETURN_TYPE(internal::scalar_max_op)
-    (max)(const MatrixBase<OtherDerived> &other) const
-    { return EIGEN_CWISE_BINOP_RETURN_TYPE(internal::scalar_max_op)(_expression(), other.derived()); }
+    const EIGEN_CWISE_BINOP_RETURN_TYPE(ei_scalar_max_op)
+    max(const MatrixBase<OtherDerived> &other) const;

-    const EIGEN_CWISE_UNOP_RETURN_TYPE(internal::scalar_abs_op)      abs() const;
-    const EIGEN_CWISE_UNOP_RETURN_TYPE(internal::scalar_abs2_op)     abs2() const;
-    const EIGEN_CWISE_UNOP_RETURN_TYPE(internal::scalar_square_op)   square() const;
-    const EIGEN_CWISE_UNOP_RETURN_TYPE(internal::scalar_cube_op)     cube() const;
-    const EIGEN_CWISE_UNOP_RETURN_TYPE(internal::scalar_inverse_op)  inverse() const;
-    const EIGEN_CWISE_UNOP_RETURN_TYPE(internal::scalar_sqrt_op)     sqrt() const;
-    const EIGEN_CWISE_UNOP_RETURN_TYPE(internal::scalar_exp_op)      exp() const;
-    const EIGEN_CWISE_UNOP_RETURN_TYPE(internal::scalar_log_op)      log() const;
-    const EIGEN_CWISE_UNOP_RETURN_TYPE(internal::scalar_cos_op)      cos() const;
-    const EIGEN_CWISE_UNOP_RETURN_TYPE(internal::scalar_sin_op)      sin() const;
-    const EIGEN_CWISE_UNOP_RETURN_TYPE(internal::scalar_pow_op)      pow(const Scalar& exponent) const;
+    const EIGEN_CWISE_UNOP_RETURN_TYPE(ei_scalar_abs_op)      abs() const;
+    const EIGEN_CWISE_UNOP_RETURN_TYPE(ei_scalar_abs2_op)     abs2() const;
+    const EIGEN_CWISE_UNOP_RETURN_TYPE(ei_scalar_square_op)   square() const;
+    const EIGEN_CWISE_UNOP_RETURN_TYPE(ei_scalar_cube_op)     cube() const;
+    const EIGEN_CWISE_UNOP_RETURN_TYPE(ei_scalar_inverse_op)  inverse() const;
+    const EIGEN_CWISE_UNOP_RETURN_TYPE(ei_scalar_sqrt_op)     sqrt() const;
+    const EIGEN_CWISE_UNOP_RETURN_TYPE(ei_scalar_exp_op)      exp() const;
+    const EIGEN_CWISE_UNOP_RETURN_TYPE(ei_scalar_log_op)      log() const;
+    const EIGEN_CWISE_UNOP_RETURN_TYPE(ei_scalar_cos_op)      cos() const;
+    const EIGEN_CWISE_UNOP_RETURN_TYPE(ei_scalar_sin_op)      sin() const;
+    const EIGEN_CWISE_UNOP_RETURN_TYPE(ei_scalar_pow_op)      pow(const Scalar& exponent) const;

    const ScalarAddReturnType
    operator+(const Scalar& scalar) const;
@@ -175,7 +180,6 @@ template<typename ExpressionType> class Cwise
    ExpressionTypeNested m_matrix;
 };

-
 /** \returns a Cwise wrapper of *this providing additional coefficient-wise operations
  *
  * Example: \include MatrixBase_cwise_const.cpp
@@ -184,7 +188,8 @@ template<typename ExpressionType> class Cwise
  * \sa class Cwise, cwise()
  */
 template<typename Derived>
-inline const Cwise<Derived> MatrixBase<Derived>::cwise() const
+inline const Cwise<Derived>
+MatrixBase<Derived>::cwise() const
 {
  return derived();
 }
@@ -197,11 +202,10 @@ inline const Cwise<Derived> MatrixBase<Derived>::cwise() const
  * \sa class Cwise, cwise() const
  */
 template<typename Derived>
-inline Cwise<Derived> MatrixBase<Derived>::cwise()
+inline Cwise<Derived>
+MatrixBase<Derived>::cwise()
 {
  return derived();
 }

-} // end namespace Eigen
-
 #endif // EIGEN_CWISE_H
--- a/Eigen/src/Core/CwiseBinaryOp.h
+++ b/Eigen/src/Core/CwiseBinaryOp.h
@@ -1,7 +1,7 @@
 // This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
+// for linear algebra. Eigen itself is part of the KDE project.
 //
-// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
 // Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
 //
 // Eigen is free software; you can redistribute it and/or
@@ -26,190 +26,131 @@
 #ifndef EIGEN_CWISE_BINARY_OP_H
 #define EIGEN_CWISE_BINARY_OP_H

-namespace Eigen {
-
 /** \class CwiseBinaryOp
-  * \ingroup Core_Module
  *
-  * \brief Generic expression where a coefficient-wise binary operator is applied to two expressions
+  * \brief Generic expression of a coefficient-wise operator between two matrices or vectors
  *
  * \param BinaryOp template functor implementing the operator
  * \param Lhs the type of the left-hand side
  * \param Rhs the type of the right-hand side
  *
-  * This class represents an expression  where a coefficient-wise binary operator is applied to two expressions.
-  * It is the return type of binary operators, by which we mean only those binary operators where
-  * both the left-hand side and the right-hand side are Eigen expressions.
-  * For example, the return type of matrix1+matrix2 is a CwiseBinaryOp.
+  * This class represents an expression of a generic binary operator of two matrices or vectors.
+  * It is the return type of the operator+, operator-, and the Cwise methods, and most
+  * of the time this is the only way it is used.
  *
-  * Most of the time, this is the only way that it is used, so you typically don't have to name
-  * CwiseBinaryOp types explicitly.
+  * However, if you want to write a function returning such an expression, you
+  * will need to use this class.
  *
  * \sa MatrixBase::binaryExpr(const MatrixBase<OtherDerived> &,const CustomBinaryOp &) const, class CwiseUnaryOp, class CwiseNullaryOp
  */
-
-namespace internal {
 template<typename BinaryOp, typename Lhs, typename Rhs>
-struct traits<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
+struct ei_traits<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
 {
-  // we must not inherit from traits<Lhs> since it has
-  // the potential to cause problems with MSVC
-  typedef typename remove_all<Lhs>::type Ancestor;
-  typedef typename traits<Ancestor>::XprKind XprKind;
-  enum {
-    RowsAtCompileTime = traits<Ancestor>::RowsAtCompileTime,
-    ColsAtCompileTime = traits<Ancestor>::ColsAtCompileTime,
-    MaxRowsAtCompileTime = traits<Ancestor>::MaxRowsAtCompileTime,
-    MaxColsAtCompileTime = traits<Ancestor>::MaxColsAtCompileTime
-  };
-
  // even though we require Lhs and Rhs to have the same scalar type (see CwiseBinaryOp constructor),
  // we still want to handle the case when the result type is different.
-  typedef typename result_of<
+  typedef typename ei_result_of<
                     BinaryOp(
                       typename Lhs::Scalar,
                       typename Rhs::Scalar
                     )
                   >::type Scalar;
-  typedef typename promote_storage_type<typename traits<Lhs>::StorageKind,
-                                           typename traits<Rhs>::StorageKind>::ret StorageKind;
-  typedef typename promote_index_type<typename traits<Lhs>::Index,
-                                         typename traits<Rhs>::Index>::type Index;
  typedef typename Lhs::Nested LhsNested;
  typedef typename Rhs::Nested RhsNested;
-  typedef typename remove_reference<LhsNested>::type _LhsNested;
-  typedef typename remove_reference<RhsNested>::type _RhsNested;
+  typedef typename ei_unref<LhsNested>::type _LhsNested;
+  typedef typename ei_unref<RhsNested>::type _RhsNested;
  enum {
    LhsCoeffReadCost = _LhsNested::CoeffReadCost,
    RhsCoeffReadCost = _RhsNested::CoeffReadCost,
    LhsFlags = _LhsNested::Flags,
    RhsFlags = _RhsNested::Flags,
-    SameType = is_same<typename _LhsNested::Scalar,typename _RhsNested::Scalar>::value,
-    StorageOrdersAgree = (int(Lhs::Flags)&RowMajorBit)==(int(Rhs::Flags)&RowMajorBit),
-    Flags0 = (int(LhsFlags) | int(RhsFlags)) & (
+    RowsAtCompileTime = Lhs::RowsAtCompileTime,
+    ColsAtCompileTime = Lhs::ColsAtCompileTime,
+    MaxRowsAtCompileTime = Lhs::MaxRowsAtCompileTime,
+    MaxColsAtCompileTime = Lhs::MaxColsAtCompileTime,
+    Flags = (int(LhsFlags) | int(RhsFlags)) & (
        HereditaryBits
-      | (int(LhsFlags) & int(RhsFlags) &
-           ( AlignedBit
-           | (StorageOrdersAgree ? LinearAccessBit : 0)
-           | (functor_traits<BinaryOp>::PacketAccess && StorageOrdersAgree && SameType ? PacketAccessBit : 0)
-           )
-        )
-     ),
-    Flags = (Flags0 & ~RowMajorBit) | (LhsFlags & RowMajorBit),
-    CoeffReadCost = LhsCoeffReadCost + RhsCoeffReadCost + functor_traits<BinaryOp>::Cost
+      | (int(LhsFlags) & int(RhsFlags) & (LinearAccessBit | AlignedBit))
+      | (ei_functor_traits<BinaryOp>::PacketAccess && ((int(LhsFlags) & RowMajorBit)==(int(RhsFlags) & RowMajorBit))
+        ? (int(LhsFlags) & int(RhsFlags) & PacketAccessBit) : 0)),
+    CoeffReadCost = LhsCoeffReadCost + RhsCoeffReadCost + ei_functor_traits<BinaryOp>::Cost
  };
 };
-} // end namespace internal
-
-// we require Lhs and Rhs to have the same scalar type. Currently there is no example of a binary functor
-// that would take two operands of different types. If there were such an example, then this check should be
-// moved to the BinaryOp functors, on a per-case basis. This would however require a change in the BinaryOp functors, as
-// currently they take only one typename Scalar template parameter.
-// It is tempting to always allow mixing different types but remember that this is often impossible in the vectorized paths.
-// So allowing mixing different types gives very unexpected errors when enabling vectorization, when the user tries to
-// add together a float matrix and a double matrix.
-#define EIGEN_CHECK_BINARY_COMPATIBILIY(BINOP,LHS,RHS) \
-  EIGEN_STATIC_ASSERT((internal::functor_allows_mixing_real_and_complex<BINOP>::ret \
-                        ? int(internal::is_same<typename NumTraits<LHS>::Real, typename NumTraits<RHS>::Real>::value) \
-                        : int(internal::is_same<LHS, RHS>::value)), \
-    YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
-
-template<typename BinaryOp, typename Lhs, typename Rhs, typename StorageKind>
-class CwiseBinaryOpImpl;

 template<typename BinaryOp, typename Lhs, typename Rhs>
-class CwiseBinaryOp : internal::no_assignment_operator,
-  public CwiseBinaryOpImpl<
-          BinaryOp, Lhs, Rhs,
-          typename internal::promote_storage_type<typename internal::traits<Lhs>::StorageKind,
-                                           typename internal::traits<Rhs>::StorageKind>::ret>
+class CwiseBinaryOp : ei_no_assignment_operator,
+  public MatrixBase<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
 {
  public:

-    typedef typename CwiseBinaryOpImpl<
-        BinaryOp, Lhs, Rhs,
-        typename internal::promote_storage_type<typename internal::traits<Lhs>::StorageKind,
-                                         typename internal::traits<Rhs>::StorageKind>::ret>::Base Base;
    EIGEN_GENERIC_PUBLIC_INTERFACE(CwiseBinaryOp)
-
-    typedef typename internal::nested<Lhs>::type LhsNested;
-    typedef typename internal::nested<Rhs>::type RhsNested;
-    typedef typename internal::remove_reference<LhsNested>::type _LhsNested;
-    typedef typename internal::remove_reference<RhsNested>::type _RhsNested;
+    typedef typename ei_traits<CwiseBinaryOp>::LhsNested LhsNested;
+    typedef typename ei_traits<CwiseBinaryOp>::RhsNested RhsNested;

    EIGEN_STRONG_INLINE CwiseBinaryOp(const Lhs& lhs, const Rhs& rhs, const BinaryOp& func = BinaryOp())
      : m_lhs(lhs), m_rhs(rhs), m_functor(func)
    {
-      EIGEN_CHECK_BINARY_COMPATIBILIY(BinaryOp,typename Lhs::Scalar,typename Rhs::Scalar);
+      // we require Lhs and Rhs to have the same scalar type. Currently there is no example of a binary functor
+      // that would take two operands of different types. If there were such an example, then this check should be
+      // moved to the BinaryOp functors, on a per-case basis. This would however require a change in the BinaryOp functors, as
+      // currently they take only one typename Scalar template parameter.
+      // It is tempting to always allow mixing different types but remember that this is often impossible in the vectorized paths.
+      // So allowing mixing different types gives very unexpected errors when enabling vectorization, when the user tries to
+      // add together a float matrix and a double matrix.
+      EIGEN_STATIC_ASSERT((ei_functor_allows_mixing_real_and_complex<BinaryOp>::ret
+                           ? int(ei_is_same_type<typename Lhs::RealScalar, typename Rhs::RealScalar>::ret)
+                           : int(ei_is_same_type<typename Lhs::Scalar, typename Rhs::Scalar>::ret)),
+        YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
      // require the sizes to match
      EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Lhs, Rhs)
-      eigen_assert(lhs.rows() == rhs.rows() && lhs.cols() == rhs.cols());
+      ei_assert(lhs.rows() == rhs.rows() && lhs.cols() == rhs.cols());
    }

-    EIGEN_STRONG_INLINE Index rows() const {
-      // return the fixed size type if available to enable compile time optimizations
-      if (internal::traits<typename internal::remove_all<LhsNested>::type>::RowsAtCompileTime==Dynamic)
-        return m_rhs.rows();
-      else
-        return m_lhs.rows();
-    }
-    EIGEN_STRONG_INLINE Index cols() const {
-      // return the fixed size type if available to enable compile time optimizations
-      if (internal::traits<typename internal::remove_all<LhsNested>::type>::ColsAtCompileTime==Dynamic)
-        return m_rhs.cols();
-      else
-        return m_lhs.cols();
+    EIGEN_STRONG_INLINE int rows() const { return m_lhs.rows(); }
+    EIGEN_STRONG_INLINE int cols() const { return m_lhs.cols(); }
+
+    EIGEN_STRONG_INLINE const Scalar coeff(int row, int col) const
+    {
+      return m_functor(m_lhs.coeff(row, col), m_rhs.coeff(row, col));
    }

-    /** \returns the left hand side nested expression */
-    const _LhsNested& lhs() const { return m_lhs; }
-    /** \returns the right hand side nested expression */
-    const _RhsNested& rhs() const { return m_rhs; }
-    /** \returns the functor representing the binary operation */
-    const BinaryOp& functor() const { return m_functor; }
+    template<int LoadMode>
+    EIGEN_STRONG_INLINE PacketScalar packet(int row, int col) const
+    {
+      return m_functor.packetOp(m_lhs.template packet<LoadMode>(row, col), m_rhs.template packet<LoadMode>(row, col));
+    }
+
+    EIGEN_STRONG_INLINE const Scalar coeff(int index) const
+    {
+      return m_functor(m_lhs.coeff(index), m_rhs.coeff(index));
+    }
+
+    template<int LoadMode>
+    EIGEN_STRONG_INLINE PacketScalar packet(int index) const
+    {
+      return m_functor.packetOp(m_lhs.template packet<LoadMode>(index), m_rhs.template packet<LoadMode>(index));
+    }

  protected:
-    LhsNested m_lhs;
-    RhsNested m_rhs;
+    const LhsNested m_lhs;
+    const RhsNested m_rhs;
    const BinaryOp m_functor;
 };

-template<typename BinaryOp, typename Lhs, typename Rhs>
-class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Dense>
-  : public internal::dense_xpr_base<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::type
+/**\returns an expression of the difference of \c *this and \a other
+  *
+  * \note If you want to substract a given scalar from all coefficients, see Cwise::operator-().
+  *
+  * \sa class CwiseBinaryOp, MatrixBase::operator-=(), Cwise::operator-()
+  */
+template<typename Derived>
+template<typename OtherDerived>
+EIGEN_STRONG_INLINE const CwiseBinaryOp<ei_scalar_difference_op<typename ei_traits<Derived>::Scalar>,
+                                 Derived, OtherDerived>
+MatrixBase<Derived>::operator-(const MatrixBase<OtherDerived> &other) const
 {
-    typedef CwiseBinaryOp<BinaryOp, Lhs, Rhs> Derived;
-  public:
-
-    typedef typename internal::dense_xpr_base<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::type Base;
-    EIGEN_DENSE_PUBLIC_INTERFACE( Derived )
-
-    EIGEN_STRONG_INLINE const Scalar coeff(Index row, Index col) const
-    {
-      return derived().functor()(derived().lhs().coeff(row, col),
-                                 derived().rhs().coeff(row, col));
-    }
-
-    template<int LoadMode>
-    EIGEN_STRONG_INLINE PacketScalar packet(Index row, Index col) const
-    {
-      return derived().functor().packetOp(derived().lhs().template packet<LoadMode>(row, col),
-                                          derived().rhs().template packet<LoadMode>(row, col));
-    }
-
-    EIGEN_STRONG_INLINE const Scalar coeff(Index index) const
-    {
-      return derived().functor()(derived().lhs().coeff(index),
-                                 derived().rhs().coeff(index));
-    }
-
-    template<int LoadMode>
-    EIGEN_STRONG_INLINE PacketScalar packet(Index index) const
-    {
-      return derived().functor().packetOp(derived().lhs().template packet<LoadMode>(index),
-                                          derived().rhs().template packet<LoadMode>(index));
-    }
-};
+  return CwiseBinaryOp<ei_scalar_difference_op<Scalar>,
+                       Derived, OtherDerived>(derived(), other.derived());
+}

 /** replaces \c *this by \c *this - \a other.
  *
@@ -220,9 +161,23 @@ template<typename OtherDerived>
 EIGEN_STRONG_INLINE Derived &
 MatrixBase<Derived>::operator-=(const MatrixBase<OtherDerived> &other)
 {
-  SelfCwiseBinaryOp<internal::scalar_difference_op<Scalar>, Derived, OtherDerived> tmp(derived());
-  tmp = other.derived();
-  return derived();
+  return *this = *this - other;
+}
+
+/** \relates MatrixBase
+  *
+  * \returns an expression of the sum of \c *this and \a other
+  *
+  * \note If you want to add a given scalar to all coefficients, see Cwise::operator+().
+  *
+  * \sa class CwiseBinaryOp, MatrixBase::operator+=(), Cwise::operator+()
+  */
+template<typename Derived>
+template<typename OtherDerived>
+EIGEN_STRONG_INLINE const CwiseBinaryOp<ei_scalar_sum_op<typename ei_traits<Derived>::Scalar>, Derived, OtherDerived>
+MatrixBase<Derived>::operator+(const MatrixBase<OtherDerived> &other) const
+{
+  return CwiseBinaryOp<ei_scalar_sum_op<Scalar>, Derived, OtherDerived>(derived(), other.derived());
 }

 /** replaces \c *this by \c *this + \a other.
@@ -234,11 +189,116 @@ template<typename OtherDerived>
 EIGEN_STRONG_INLINE Derived &
 MatrixBase<Derived>::operator+=(const MatrixBase<OtherDerived>& other)
 {
-  SelfCwiseBinaryOp<internal::scalar_sum_op<Scalar>, Derived, OtherDerived> tmp(derived());
-  tmp = other.derived();
-  return derived();
+  return *this = *this + other;
 }

-} // end namespace Eigen
+/** \returns an expression of the Schur product (coefficient wise product) of *this and \a other
+  *
+  * Example: \include Cwise_product.cpp
+  * Output: \verbinclude Cwise_product.out
+  *
+  * \sa class CwiseBinaryOp, operator/(), square()
+  */
+template<typename ExpressionType>
+template<typename OtherDerived>
+EIGEN_STRONG_INLINE const EIGEN_CWISE_PRODUCT_RETURN_TYPE
+Cwise<ExpressionType>::operator*(const MatrixBase<OtherDerived> &other) const
+{
+  return EIGEN_CWISE_PRODUCT_RETURN_TYPE(_expression(), other.derived());
+}
+
+/** \returns an expression of the coefficient-wise quotient of *this and \a other
+  *
+  * Example: \include Cwise_quotient.cpp
+  * Output: \verbinclude Cwise_quotient.out
+  *
+  * \sa class CwiseBinaryOp, operator*(), inverse()
+  */
+template<typename ExpressionType>
+template<typename OtherDerived>
+EIGEN_STRONG_INLINE const EIGEN_CWISE_BINOP_RETURN_TYPE(ei_scalar_quotient_op)
+Cwise<ExpressionType>::operator/(const MatrixBase<OtherDerived> &other) const
+{
+  return EIGEN_CWISE_BINOP_RETURN_TYPE(ei_scalar_quotient_op)(_expression(), other.derived());
+}
+
+/** Replaces this expression by its coefficient-wise product with \a other.
+  *
+  * Example: \include Cwise_times_equal.cpp
+  * Output: \verbinclude Cwise_times_equal.out
+  *
+  * \sa operator*(), operator/=()
+  */
+template<typename ExpressionType>
+template<typename OtherDerived>
+inline ExpressionType& Cwise<ExpressionType>::operator*=(const MatrixBase<OtherDerived> &other)
+{
+  return m_matrix.const_cast_derived() = *this * other;
+}
+
+/** Replaces this expression by its coefficient-wise quotient by \a other.
+  *
+  * Example: \include Cwise_slash_equal.cpp
+  * Output: \verbinclude Cwise_slash_equal.out
+  *
+  * \sa operator/(), operator*=()
+  */
+template<typename ExpressionType>
+template<typename OtherDerived>
+inline ExpressionType& Cwise<ExpressionType>::operator/=(const MatrixBase<OtherDerived> &other)
+{
+  return m_matrix.const_cast_derived() = *this / other;
+}
+
+/** \returns an expression of the coefficient-wise min of *this and \a other
+  *
+  * Example: \include Cwise_min.cpp
+  * Output: \verbinclude Cwise_min.out
+  *
+  * \sa class CwiseBinaryOp
+  */
+template<typename ExpressionType>
+template<typename OtherDerived>
+EIGEN_STRONG_INLINE const EIGEN_CWISE_BINOP_RETURN_TYPE(ei_scalar_min_op)
+Cwise<ExpressionType>::min(const MatrixBase<OtherDerived> &other) const
+{
+  return EIGEN_CWISE_BINOP_RETURN_TYPE(ei_scalar_min_op)(_expression(), other.derived());
+}
+
+/** \returns an expression of the coefficient-wise max of *this and \a other
+  *
+  * Example: \include Cwise_max.cpp
+  * Output: \verbinclude Cwise_max.out
+  *
+  * \sa class CwiseBinaryOp
+  */
+template<typename ExpressionType>
+template<typename OtherDerived>
+EIGEN_STRONG_INLINE const EIGEN_CWISE_BINOP_RETURN_TYPE(ei_scalar_max_op)
+Cwise<ExpressionType>::max(const MatrixBase<OtherDerived> &other) const
+{
+  return EIGEN_CWISE_BINOP_RETURN_TYPE(ei_scalar_max_op)(_expression(), other.derived());
+}
+
+/** \returns an expression of a custom coefficient-wise operator \a func of *this and \a other
+  *
+  * The template parameter \a CustomBinaryOp is the type of the functor
+  * of the custom operator (see class CwiseBinaryOp for an example)
+  *
+  * \addexample CustomCwiseBinaryFunctors \label How to use custom coeff wise binary functors
+  *
+  * Here is an example illustrating the use of custom functors:
+  * \include class_CwiseBinaryOp.cpp
+  * Output: \verbinclude class_CwiseBinaryOp.out
+  *
+  * \sa class CwiseBinaryOp, MatrixBase::operator+, MatrixBase::operator-, Cwise::operator*, Cwise::operator/
+  */
+template<typename Derived>
+template<typename CustomBinaryOp, typename OtherDerived>
+EIGEN_STRONG_INLINE const CwiseBinaryOp<CustomBinaryOp, Derived, OtherDerived>
+MatrixBase<Derived>::binaryExpr(const MatrixBase<OtherDerived> &other, const CustomBinaryOp& func) const
+{
+  return CwiseBinaryOp<CustomBinaryOp, Derived, OtherDerived>(derived(), other.derived(), func);
+}

 #endif // EIGEN_CWISE_BINARY_OP_H
--- a/Eigen/src/Core/CwiseNullaryOp.h
+++ b/Eigen/src/Core/CwiseNullaryOp.h
@@ -1,7 +1,7 @@
 // This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
+// for linear algebra. Eigen itself is part of the KDE project.
 //
-// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
 //
 // Eigen is free software; you can redistribute it and/or
 // modify it under the terms of the GNU Lesser General Public
@@ -25,90 +25,82 @@
 #ifndef EIGEN_CWISE_NULLARY_OP_H
 #define EIGEN_CWISE_NULLARY_OP_H

-namespace Eigen {
-
 /** \class CwiseNullaryOp
-  * \ingroup Core_Module
  *
  * \brief Generic expression of a matrix where all coefficients are defined by a functor
  *
  * \param NullaryOp template functor implementing the operator
-  * \param PlainObjectType the underlying plain matrix/array type
  *
  * This class represents an expression of a generic nullary operator.
-  * It is the return type of the Ones(), Zero(), Constant(), Identity() and Random() methods,
+  * It is the return type of the Ones(), Zero(), Constant(), Identity() and Random() functions,
  * and most of the time this is the only way it is used.
  *
  * However, if you want to write a function returning such an expression, you
  * will need to use this class.
  *
-  * \sa class CwiseUnaryOp, class CwiseBinaryOp, DenseBase::NullaryExpr()
+  * \sa class CwiseUnaryOp, class CwiseBinaryOp, MatrixBase::NullaryExpr()
  */
-
-namespace internal {
-template<typename NullaryOp, typename PlainObjectType>
-struct traits<CwiseNullaryOp<NullaryOp, PlainObjectType> > : traits<PlainObjectType>
+template<typename NullaryOp, typename MatrixType>
+struct ei_traits<CwiseNullaryOp<NullaryOp, MatrixType> > : ei_traits<MatrixType>
 {
  enum {
-    Flags = (traits<PlainObjectType>::Flags
+    Flags = (ei_traits<MatrixType>::Flags
      & (  HereditaryBits
-         | (functor_has_linear_access<NullaryOp>::ret ? LinearAccessBit : 0)
-         | (functor_traits<NullaryOp>::PacketAccess ? PacketAccessBit : 0)))
-      | (functor_traits<NullaryOp>::IsRepeatable ? 0 : EvalBeforeNestingBit),
-    CoeffReadCost = functor_traits<NullaryOp>::Cost
+         | (ei_functor_has_linear_access<NullaryOp>::ret ? LinearAccessBit : 0)
+         | (ei_functor_traits<NullaryOp>::PacketAccess ? PacketAccessBit : 0)))
+      | (ei_functor_traits<NullaryOp>::IsRepeatable ? 0 : EvalBeforeNestingBit),
+    CoeffReadCost = ei_functor_traits<NullaryOp>::Cost
  };
 };
-}

-template<typename NullaryOp, typename PlainObjectType>
-class CwiseNullaryOp : internal::no_assignment_operator,
-  public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type
+template<typename NullaryOp, typename MatrixType>
+class CwiseNullaryOp : ei_no_assignment_operator,
+  public MatrixBase<CwiseNullaryOp<NullaryOp, MatrixType> >
 {
  public:

-    typedef typename internal::dense_xpr_base<CwiseNullaryOp>::type Base;
-    EIGEN_DENSE_PUBLIC_INTERFACE(CwiseNullaryOp)
+    EIGEN_GENERIC_PUBLIC_INTERFACE(CwiseNullaryOp)

-    CwiseNullaryOp(Index rows, Index cols, const NullaryOp& func = NullaryOp())
+    CwiseNullaryOp(int rows, int cols, const NullaryOp& func = NullaryOp())
      : m_rows(rows), m_cols(cols), m_functor(func)
    {
-      eigen_assert(rows >= 0
-            && (RowsAtCompileTime == Dynamic || RowsAtCompileTime == rows)
-            &&  cols >= 0
-            && (ColsAtCompileTime == Dynamic || ColsAtCompileTime == cols));
+      ei_assert(rows > 0
+          && (RowsAtCompileTime == Dynamic || RowsAtCompileTime == rows)
+          && cols > 0
+          && (ColsAtCompileTime == Dynamic || ColsAtCompileTime == cols));
    }

-    EIGEN_STRONG_INLINE Index rows() const { return m_rows.value(); }
-    EIGEN_STRONG_INLINE Index cols() const { return m_cols.value(); }
+    EIGEN_STRONG_INLINE int rows() const { return m_rows.value(); }
+    EIGEN_STRONG_INLINE int cols() const { return m_cols.value(); }

-    EIGEN_STRONG_INLINE const Scalar coeff(Index rows, Index cols) const
+    EIGEN_STRONG_INLINE const Scalar coeff(int rows, int cols) const
    {
      return m_functor(rows, cols);
    }

    template<int LoadMode>
-    EIGEN_STRONG_INLINE PacketScalar packet(Index row, Index col) const
+    EIGEN_STRONG_INLINE PacketScalar packet(int, int) const
    {
-      return m_functor.packetOp(row, col);
+      return m_functor.packetOp();
    }

-    EIGEN_STRONG_INLINE const Scalar coeff(Index index) const
+    EIGEN_STRONG_INLINE const Scalar coeff(int index) const
    {
-      return m_functor(index);
+      if(RowsAtCompileTime == 1)
+        return m_functor(0, index);
+      else
+        return m_functor(index, 0);
    }

    template<int LoadMode>
-    EIGEN_STRONG_INLINE PacketScalar packet(Index index) const
+    EIGEN_STRONG_INLINE PacketScalar packet(int) const
    {
-      return m_functor.packetOp(index);
+      return m_functor.packetOp();
    }

-    /** \returns the functor representing the nullary operation */
-    const NullaryOp& functor() const { return m_functor; }
-
  protected:
-    const internal::variable_if_dynamic<Index, RowsAtCompileTime> m_rows;
-    const internal::variable_if_dynamic<Index, ColsAtCompileTime> m_cols;
+    const ei_int_if_dynamic<RowsAtCompileTime> m_rows;
+    const ei_int_if_dynamic<ColsAtCompileTime> m_cols;
    const NullaryOp m_functor;
 };

@@ -129,7 +121,7 @@ class CwiseNullaryOp : internal::no_assignment_operator,
 template<typename Derived>
 template<typename CustomNullaryOp>
 EIGEN_STRONG_INLINE const CwiseNullaryOp<CustomNullaryOp, Derived>
-DenseBase<Derived>::NullaryExpr(Index rows, Index cols, const CustomNullaryOp& func)
+MatrixBase<Derived>::NullaryExpr(int rows, int cols, const CustomNullaryOp& func)
 {
  return CwiseNullaryOp<CustomNullaryOp, Derived>(rows, cols, func);
 }
@@ -152,16 +144,16 @@ DenseBase<Derived>::NullaryExpr(Index rows, Index cols, const CustomNullaryOp& f
 template<typename Derived>
 template<typename CustomNullaryOp>
 EIGEN_STRONG_INLINE const CwiseNullaryOp<CustomNullaryOp, Derived>
-DenseBase<Derived>::NullaryExpr(Index size, const CustomNullaryOp& func)
+MatrixBase<Derived>::NullaryExpr(int size, const CustomNullaryOp& func)
 {
-  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  ei_assert(IsVectorAtCompileTime);
  if(RowsAtCompileTime == 1) return CwiseNullaryOp<CustomNullaryOp, Derived>(1, size, func);
  else return CwiseNullaryOp<CustomNullaryOp, Derived>(size, 1, func);
 }

 /** \returns an expression of a matrix defined by a custom functor \a func
  *
-  * This variant is only for fixed-size DenseBase types. For dynamic-size types, you
+  * This variant is only for fixed-size MatrixBase types. For dynamic-size types, you
  * need to use the variants taking size arguments.
  *
  * The template parameter \a CustomNullaryOp is the type of the functor.
@@ -171,7 +163,7 @@ DenseBase<Derived>::NullaryExpr(Index size, const CustomNullaryOp& func)
 template<typename Derived>
 template<typename CustomNullaryOp>
 EIGEN_STRONG_INLINE const CwiseNullaryOp<CustomNullaryOp, Derived>
-DenseBase<Derived>::NullaryExpr(const CustomNullaryOp& func)
+MatrixBase<Derived>::NullaryExpr(const CustomNullaryOp& func)
 {
  return CwiseNullaryOp<CustomNullaryOp, Derived>(RowsAtCompileTime, ColsAtCompileTime, func);
 }
@@ -179,7 +171,7 @@ DenseBase<Derived>::NullaryExpr(const CustomNullaryOp& func)
 /** \returns an expression of a constant matrix of value \a value
  *
  * The parameters \a rows and \a cols are the number of rows and of columns of
-  * the returned matrix. Must be compatible with this DenseBase type.
+  * the returned matrix. Must be compatible with this MatrixBase type.
  *
  * This variant is meant to be used for dynamic-size matrix types. For fixed-size types,
  * it is redundant to pass \a rows and \a cols as arguments, so Zero() should be used
@@ -190,16 +182,16 @@ DenseBase<Derived>::NullaryExpr(const CustomNullaryOp& func)
  * \sa class CwiseNullaryOp
  */
 template<typename Derived>
-EIGEN_STRONG_INLINE const typename DenseBase<Derived>::ConstantReturnType
-DenseBase<Derived>::Constant(Index rows, Index cols, const Scalar& value)
+EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::ConstantReturnType
+MatrixBase<Derived>::Constant(int rows, int cols, const Scalar& value)
 {
-  return DenseBase<Derived>::NullaryExpr(rows, cols, internal::scalar_constant_op<Scalar>(value));
+  return NullaryExpr(rows, cols, ei_scalar_constant_op<Scalar>(value));
 }

 /** \returns an expression of a constant matrix of value \a value
  *
  * The parameter \a size is the size of the returned vector.
-  * Must be compatible with this DenseBase type.
+  * Must be compatible with this MatrixBase type.
  *
  * \only_for_vectors
  *
@@ -212,15 +204,15 @@ DenseBase<Derived>::Constant(Index rows, Index cols, const Scalar& value)
  * \sa class CwiseNullaryOp
  */
 template<typename Derived>
-EIGEN_STRONG_INLINE const typename DenseBase<Derived>::ConstantReturnType
-DenseBase<Derived>::Constant(Index size, const Scalar& value)
+EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::ConstantReturnType
+MatrixBase<Derived>::Constant(int size, const Scalar& value)
 {
-  return DenseBase<Derived>::NullaryExpr(size, internal::scalar_constant_op<Scalar>(value));
+  return NullaryExpr(size, ei_scalar_constant_op<Scalar>(value));
 }

 /** \returns an expression of a constant matrix of value \a value
  *
-  * This variant is only for fixed-size DenseBase types. For dynamic-size types, you
+  * This variant is only for fixed-size MatrixBase types. For dynamic-size types, you
  * need to use the variants taking size arguments.
  *
  * The template parameter \a CustomNullaryOp is the type of the functor.
@@ -228,200 +220,44 @@ DenseBase<Derived>::Constant(Index size, const Scalar& value)
  * \sa class CwiseNullaryOp
  */
 template<typename Derived>
-EIGEN_STRONG_INLINE const typename DenseBase<Derived>::ConstantReturnType
-DenseBase<Derived>::Constant(const Scalar& value)
+EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::ConstantReturnType
+MatrixBase<Derived>::Constant(const Scalar& value)
 {
  EIGEN_STATIC_ASSERT_FIXED_SIZE(Derived)
-  return DenseBase<Derived>::NullaryExpr(RowsAtCompileTime, ColsAtCompileTime, internal::scalar_constant_op<Scalar>(value));
+  return NullaryExpr(RowsAtCompileTime, ColsAtCompileTime, ei_scalar_constant_op<Scalar>(value));
 }

-/**
-  * \brief Sets a linearly space vector.
-  *
-  * The function generates 'size' equally spaced values in the closed interval [low,high].
-  * This particular version of LinSpaced() uses sequential access, i.e. vector access is
-  * assumed to be a(0), a(1), ..., a(size). This assumption allows for better vectorization
-  * and yields faster code than the random access version.
-  *
-  * When size is set to 1, a vector of length 1 containing 'high' is returned.
-  *
-  * \only_for_vectors
-  *
-  * Example: \include DenseBase_LinSpaced_seq.cpp
-  * Output: \verbinclude DenseBase_LinSpaced_seq.out
-  *
-  * \sa setLinSpaced(Index,const Scalar&,const Scalar&), LinSpaced(Index,Scalar,Scalar), CwiseNullaryOp
-  */
 template<typename Derived>
-EIGEN_STRONG_INLINE const typename DenseBase<Derived>::SequentialLinSpacedReturnType
-DenseBase<Derived>::LinSpaced(Sequential_t, Index size, const Scalar& low, const Scalar& high)
-{
-  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
-  return DenseBase<Derived>::NullaryExpr(size, internal::linspaced_op<Scalar,false>(low,high,size));
-}
-
-/**
-  * \copydoc DenseBase::LinSpaced(Sequential_t, Index, const Scalar&, const Scalar&)
-  * Special version for fixed size types which does not require the size parameter.
-  */
-template<typename Derived>
-EIGEN_STRONG_INLINE const typename DenseBase<Derived>::SequentialLinSpacedReturnType
-DenseBase<Derived>::LinSpaced(Sequential_t, const Scalar& low, const Scalar& high)
-{
-  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
-  EIGEN_STATIC_ASSERT_FIXED_SIZE(Derived)
-  return DenseBase<Derived>::NullaryExpr(Derived::SizeAtCompileTime, internal::linspaced_op<Scalar,false>(low,high,Derived::SizeAtCompileTime));
-}
-
-/**
-  * \brief Sets a linearly space vector.
-  *
-  * The function generates 'size' equally spaced values in the closed interval [low,high].
-  * When size is set to 1, a vector of length 1 containing 'high' is returned.
-  *
-  * \only_for_vectors
-  *
-  * Example: \include DenseBase_LinSpaced.cpp
-  * Output: \verbinclude DenseBase_LinSpaced.out
-  *
-  * \sa setLinSpaced(Index,const Scalar&,const Scalar&), LinSpaced(Sequential_t,Index,const Scalar&,const Scalar&,Index), CwiseNullaryOp
-  */
-template<typename Derived>
-EIGEN_STRONG_INLINE const typename DenseBase<Derived>::RandomAccessLinSpacedReturnType
-DenseBase<Derived>::LinSpaced(Index size, const Scalar& low, const Scalar& high)
-{
-  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
-  return DenseBase<Derived>::NullaryExpr(size, internal::linspaced_op<Scalar,true>(low,high,size));
-}
-
-/**
-  * \copydoc DenseBase::LinSpaced(Index, const Scalar&, const Scalar&)
-  * Special version for fixed size types which does not require the size parameter.
-  */
-template<typename Derived>
-EIGEN_STRONG_INLINE const typename DenseBase<Derived>::RandomAccessLinSpacedReturnType
-DenseBase<Derived>::LinSpaced(const Scalar& low, const Scalar& high)
-{
-  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
-  EIGEN_STATIC_ASSERT_FIXED_SIZE(Derived)
-  return DenseBase<Derived>::NullaryExpr(Derived::SizeAtCompileTime, internal::linspaced_op<Scalar,true>(low,high,Derived::SizeAtCompileTime));
-}
-
-/** \returns true if all coefficients in this matrix are approximately equal to \a value, to within precision \a prec */
-template<typename Derived>
-bool DenseBase<Derived>::isApproxToConstant
+bool MatrixBase<Derived>::isApproxToConstant
 (const Scalar& value, RealScalar prec) const
 {
-  for(Index j = 0; j < cols(); ++j)
-    for(Index i = 0; i < rows(); ++i)
-      if(!internal::isApprox(this->coeff(i, j), value, prec))
+  for(int j = 0; j < cols(); ++j)
+    for(int i = 0; i < rows(); ++i)
+      if(!ei_isApprox(coeff(i, j), value, prec))
        return false;
  return true;
 }

-/** This is just an alias for isApproxToConstant().
-  *
-  * \returns true if all coefficients in this matrix are approximately equal to \a value, to within precision \a prec */
-template<typename Derived>
-bool DenseBase<Derived>::isConstant
-(const Scalar& value, RealScalar prec) const
-{
-  return isApproxToConstant(value, prec);
-}
-
 /** Alias for setConstant(): sets all coefficients in this expression to \a value.
  *
  * \sa setConstant(), Constant(), class CwiseNullaryOp
  */
 template<typename Derived>
-EIGEN_STRONG_INLINE void DenseBase<Derived>::fill(const Scalar& value)
+EIGEN_STRONG_INLINE void MatrixBase<Derived>::fill(const Scalar& value)
 {
  setConstant(value);
 }

 /** Sets all coefficients in this expression to \a value.
  *
-  * \sa fill(), setConstant(Index,const Scalar&), setConstant(Index,Index,const Scalar&), setZero(), setOnes(), Constant(), class CwiseNullaryOp, setZero(), setOnes()
+  * \sa fill(), Constant(), class CwiseNullaryOp, setZero(), setOnes()
  */
 template<typename Derived>
-EIGEN_STRONG_INLINE Derived& DenseBase<Derived>::setConstant(const Scalar& value)
+EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>::setConstant(const Scalar& value)
 {
  return derived() = Constant(rows(), cols(), value);
 }

-/** Resizes to the given \a size, and sets all coefficients in this expression to the given \a value.
-  *
-  * \only_for_vectors
-  *
-  * Example: \include Matrix_setConstant_int.cpp
-  * Output: \verbinclude Matrix_setConstant_int.out
-  *
-  * \sa MatrixBase::setConstant(const Scalar&), setConstant(Index,Index,const Scalar&), class CwiseNullaryOp, MatrixBase::Constant(const Scalar&)
-  */
-template<typename Derived>
-EIGEN_STRONG_INLINE Derived&
-PlainObjectBase<Derived>::setConstant(Index size, const Scalar& value)
-{
-  resize(size);
-  return setConstant(value);
-}
-
-/** Resizes to the given size, and sets all coefficients in this expression to the given \a value.
-  *
-  * \param rows the new number of rows
-  * \param cols the new number of columns
-  * \param value the value to which all coefficients are set
-  *
-  * Example: \include Matrix_setConstant_int_int.cpp
-  * Output: \verbinclude Matrix_setConstant_int_int.out
-  *
-  * \sa MatrixBase::setConstant(const Scalar&), setConstant(Index,const Scalar&), class CwiseNullaryOp, MatrixBase::Constant(const Scalar&)
-  */
-template<typename Derived>
-EIGEN_STRONG_INLINE Derived&
-PlainObjectBase<Derived>::setConstant(Index rows, Index cols, const Scalar& value)
-{
-  resize(rows, cols);
-  return setConstant(value);
-}
-
-/**
-  * \brief Sets a linearly space vector.
-  *
-  * The function generates 'size' equally spaced values in the closed interval [low,high].
-  * When size is set to 1, a vector of length 1 containing 'high' is returned.
-  *
-  * \only_for_vectors
-  *
-  * Example: \include DenseBase_setLinSpaced.cpp
-  * Output: \verbinclude DenseBase_setLinSpaced.out
-  *
-  * \sa CwiseNullaryOp
-  */
-template<typename Derived>
-EIGEN_STRONG_INLINE Derived& DenseBase<Derived>::setLinSpaced(Index size, const Scalar& low, const Scalar& high)
-{
-  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
-  return derived() = Derived::NullaryExpr(size, internal::linspaced_op<Scalar,false>(low,high,size));
-}
-
-/**
-  * \brief Sets a linearly space vector.
-  *
-  * The function fill *this with equally spaced values in the closed interval [low,high].
-  * When size is set to 1, a vector of length 1 containing 'high' is returned.
-  *
-  * \only_for_vectors
-  *
-  * \sa setLinSpaced(Index, const Scalar&, const Scalar&), CwiseNullaryOp
-  */
-template<typename Derived>
-EIGEN_STRONG_INLINE Derived& DenseBase<Derived>::setLinSpaced(const Scalar& low, const Scalar& high)
-{
-  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
-  return setLinSpaced(size(), low, high);
-}
-
 // zero:

 /** \returns an expression of a zero matrix.
@@ -433,14 +269,16 @@ EIGEN_STRONG_INLINE Derived& DenseBase<Derived>::setLinSpaced(const Scalar& low,
  * it is redundant to pass \a rows and \a cols as arguments, so Zero() should be used
  * instead.
  *
+  * \addexample Zero \label How to take get a zero matrix
+  *
  * Example: \include MatrixBase_zero_int_int.cpp
  * Output: \verbinclude MatrixBase_zero_int_int.out
  *
-  * \sa Zero(), Zero(Index)
+  * \sa Zero(), Zero(int)
  */
 template<typename Derived>
-EIGEN_STRONG_INLINE const typename DenseBase<Derived>::ConstantReturnType
-DenseBase<Derived>::Zero(Index rows, Index cols)
+EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::ConstantReturnType
+MatrixBase<Derived>::Zero(int rows, int cols)
 {
  return Constant(rows, cols, Scalar(0));
 }
@@ -459,11 +297,11 @@ DenseBase<Derived>::Zero(Index rows, Index cols)
  * Example: \include MatrixBase_zero_int.cpp
  * Output: \verbinclude MatrixBase_zero_int.out
  *
-  * \sa Zero(), Zero(Index,Index)
+  * \sa Zero(), Zero(int,int)
  */
 template<typename Derived>
-EIGEN_STRONG_INLINE const typename DenseBase<Derived>::ConstantReturnType
-DenseBase<Derived>::Zero(Index size)
+EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::ConstantReturnType
+MatrixBase<Derived>::Zero(int size)
 {
  return Constant(size, Scalar(0));
 }
@@ -476,11 +314,11 @@ DenseBase<Derived>::Zero(Index size)
  * Example: \include MatrixBase_zero.cpp
  * Output: \verbinclude MatrixBase_zero.out
  *
-  * \sa Zero(Index), Zero(Index,Index)
+  * \sa Zero(int), Zero(int,int)
  */
 template<typename Derived>
-EIGEN_STRONG_INLINE const typename DenseBase<Derived>::ConstantReturnType
-DenseBase<Derived>::Zero()
+EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::ConstantReturnType
+MatrixBase<Derived>::Zero()
 {
  return Constant(Scalar(0));
 }
@@ -494,11 +332,11 @@ DenseBase<Derived>::Zero()
  * \sa class CwiseNullaryOp, Zero()
  */
 template<typename Derived>
-bool DenseBase<Derived>::isZero(RealScalar prec) const
+bool MatrixBase<Derived>::isZero(RealScalar prec) const
 {
-  for(Index j = 0; j < cols(); ++j)
-    for(Index i = 0; i < rows(); ++i)
-      if(!internal::isMuchSmallerThan(this->coeff(i, j), static_cast<Scalar>(1), prec))
+  for(int j = 0; j < cols(); ++j)
+    for(int i = 0; i < rows(); ++i)
+      if(!ei_isMuchSmallerThan(coeff(i, j), static_cast<Scalar>(1), prec))
        return false;
  return true;
 }
@@ -511,46 +349,11 @@ bool DenseBase<Derived>::isZero(RealScalar prec) const
  * \sa class CwiseNullaryOp, Zero()
  */
 template<typename Derived>
-EIGEN_STRONG_INLINE Derived& DenseBase<Derived>::setZero()
+EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>::setZero()
 {
  return setConstant(Scalar(0));
 }

-/** Resizes to the given \a size, and sets all coefficients in this expression to zero.
-  *
-  * \only_for_vectors
-  *
-  * Example: \include Matrix_setZero_int.cpp
-  * Output: \verbinclude Matrix_setZero_int.out
-  *
-  * \sa DenseBase::setZero(), setZero(Index,Index), class CwiseNullaryOp, DenseBase::Zero()
-  */
-template<typename Derived>
-EIGEN_STRONG_INLINE Derived&
-PlainObjectBase<Derived>::setZero(Index size)
-{
-  resize(size);
-  return setConstant(Scalar(0));
-}
-
-/** Resizes to the given size, and sets all coefficients in this expression to zero.
-  *
-  * \param rows the new number of rows
-  * \param cols the new number of columns
-  *
-  * Example: \include Matrix_setZero_int_int.cpp
-  * Output: \verbinclude Matrix_setZero_int_int.out
-  *
-  * \sa DenseBase::setZero(), setZero(Index), class CwiseNullaryOp, DenseBase::Zero()
-  */
-template<typename Derived>
-EIGEN_STRONG_INLINE Derived&
-PlainObjectBase<Derived>::setZero(Index rows, Index cols)
-{
-  resize(rows, cols);
-  return setConstant(Scalar(0));
-}
-
 // ones:

 /** \returns an expression of a matrix where all coefficients equal one.
@@ -562,14 +365,16 @@ PlainObjectBase<Derived>::setZero(Index rows, Index cols)
  * it is redundant to pass \a rows and \a cols as arguments, so Ones() should be used
  * instead.
  *
+  * \addexample One \label How to get a matrix with all coefficients equal one
+  *
  * Example: \include MatrixBase_ones_int_int.cpp
  * Output: \verbinclude MatrixBase_ones_int_int.out
  *
-  * \sa Ones(), Ones(Index), isOnes(), class Ones
+  * \sa Ones(), Ones(int), isOnes(), class Ones
  */
 template<typename Derived>
-EIGEN_STRONG_INLINE const typename DenseBase<Derived>::ConstantReturnType
-DenseBase<Derived>::Ones(Index rows, Index cols)
+EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::ConstantReturnType
+MatrixBase<Derived>::Ones(int rows, int cols)
 {
  return Constant(rows, cols, Scalar(1));
 }
@@ -588,11 +393,11 @@ DenseBase<Derived>::Ones(Index rows, Index cols)
  * Example: \include MatrixBase_ones_int.cpp
  * Output: \verbinclude MatrixBase_ones_int.out
  *
-  * \sa Ones(), Ones(Index,Index), isOnes(), class Ones
+  * \sa Ones(), Ones(int,int), isOnes(), class Ones
  */
 template<typename Derived>
-EIGEN_STRONG_INLINE const typename DenseBase<Derived>::ConstantReturnType
-DenseBase<Derived>::Ones(Index size)
+EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::ConstantReturnType
+MatrixBase<Derived>::Ones(int size)
 {
  return Constant(size, Scalar(1));
 }
@@ -605,11 +410,11 @@ DenseBase<Derived>::Ones(Index size)
  * Example: \include MatrixBase_ones.cpp
  * Output: \verbinclude MatrixBase_ones.out
  *
-  * \sa Ones(Index), Ones(Index,Index), isOnes(), class Ones
+  * \sa Ones(int), Ones(int,int), isOnes(), class Ones
  */
 template<typename Derived>
-EIGEN_STRONG_INLINE const typename DenseBase<Derived>::ConstantReturnType
-DenseBase<Derived>::Ones()
+EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::ConstantReturnType
+MatrixBase<Derived>::Ones()
 {
  return Constant(Scalar(1));
 }
@@ -623,7 +428,7 @@ DenseBase<Derived>::Ones()
  * \sa class CwiseNullaryOp, Ones()
  */
 template<typename Derived>
-bool DenseBase<Derived>::isOnes
+bool MatrixBase<Derived>::isOnes
 (RealScalar prec) const
 {
  return isApproxToConstant(Scalar(1), prec);
@@ -637,46 +442,11 @@ bool DenseBase<Derived>::isOnes
  * \sa class CwiseNullaryOp, Ones()
  */
 template<typename Derived>
-EIGEN_STRONG_INLINE Derived& DenseBase<Derived>::setOnes()
+EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>::setOnes()
 {
  return setConstant(Scalar(1));
 }

-/** Resizes to the given \a size, and sets all coefficients in this expression to one.
-  *
-  * \only_for_vectors
-  *
-  * Example: \include Matrix_setOnes_int.cpp
-  * Output: \verbinclude Matrix_setOnes_int.out
-  *
-  * \sa MatrixBase::setOnes(), setOnes(Index,Index), class CwiseNullaryOp, MatrixBase::Ones()
-  */
-template<typename Derived>
-EIGEN_STRONG_INLINE Derived&
-PlainObjectBase<Derived>::setOnes(Index size)
-{
-  resize(size);
-  return setConstant(Scalar(1));
-}
-
-/** Resizes to the given size, and sets all coefficients in this expression to one.
-  *
-  * \param rows the new number of rows
-  * \param cols the new number of columns
-  *
-  * Example: \include Matrix_setOnes_int_int.cpp
-  * Output: \verbinclude Matrix_setOnes_int_int.out
-  *
-  * \sa MatrixBase::setOnes(), setOnes(Index), class CwiseNullaryOp, MatrixBase::Ones()
-  */
-template<typename Derived>
-EIGEN_STRONG_INLINE Derived&
-PlainObjectBase<Derived>::setOnes(Index rows, Index cols)
-{
-  resize(rows, cols);
-  return setConstant(Scalar(1));
-}
-
 // Identity:

 /** \returns an expression of the identity matrix (not necessarily square).
@@ -688,6 +458,8 @@ PlainObjectBase<Derived>::setOnes(Index rows, Index cols)
  * it is redundant to pass \a rows and \a cols as arguments, so Identity() should be used
  * instead.
  *
+  * \addexample Identity \label How to get an identity matrix
+  *
  * Example: \include MatrixBase_identity_int_int.cpp
  * Output: \verbinclude MatrixBase_identity_int_int.out
  *
@@ -695,9 +467,9 @@ PlainObjectBase<Derived>::setOnes(Index rows, Index cols)
  */
 template<typename Derived>
 EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::IdentityReturnType
-MatrixBase<Derived>::Identity(Index rows, Index cols)
+MatrixBase<Derived>::Identity(int rows, int cols)
 {
-  return DenseBase<Derived>::NullaryExpr(rows, cols, internal::scalar_identity_op<Scalar>());
+  return NullaryExpr(rows, cols, ei_scalar_identity_op<Scalar>());
 }

 /** \returns an expression of the identity matrix (not necessarily square).
@@ -708,14 +480,14 @@ MatrixBase<Derived>::Identity(Index rows, Index cols)
  * Example: \include MatrixBase_identity.cpp
  * Output: \verbinclude MatrixBase_identity.out
  *
-  * \sa Identity(Index,Index), setIdentity(), isIdentity()
+  * \sa Identity(int,int), setIdentity(), isIdentity()
  */
 template<typename Derived>
 EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::IdentityReturnType
 MatrixBase<Derived>::Identity()
 {
  EIGEN_STATIC_ASSERT_FIXED_SIZE(Derived)
-  return MatrixBase<Derived>::NullaryExpr(RowsAtCompileTime, ColsAtCompileTime, internal::scalar_identity_op<Scalar>());
+  return NullaryExpr(RowsAtCompileTime, ColsAtCompileTime, ei_scalar_identity_op<Scalar>());
 }

 /** \returns true if *this is approximately equal to the identity matrix
@@ -725,24 +497,24 @@ MatrixBase<Derived>::Identity()
  * Example: \include MatrixBase_isIdentity.cpp
  * Output: \verbinclude MatrixBase_isIdentity.out
  *
-  * \sa class CwiseNullaryOp, Identity(), Identity(Index,Index), setIdentity()
+  * \sa class CwiseNullaryOp, Identity(), Identity(int,int), setIdentity()
  */
 template<typename Derived>
 bool MatrixBase<Derived>::isIdentity
 (RealScalar prec) const
 {
-  for(Index j = 0; j < cols(); ++j)
+  for(int j = 0; j < cols(); ++j)
  {
-    for(Index i = 0; i < rows(); ++i)
+    for(int i = 0; i < rows(); ++i)
    {
      if(i == j)
      {
-        if(!internal::isApprox(this->coeff(i, j), static_cast<Scalar>(1), prec))
+        if(!ei_isApprox(coeff(i, j), static_cast<Scalar>(1), prec))
          return false;
      }
      else
      {
-        if(!internal::isMuchSmallerThan(this->coeff(i, j), static_cast<RealScalar>(1), prec))
+        if(!ei_isMuchSmallerThan(coeff(i, j), static_cast<RealScalar>(1), prec))
          return false;
      }
    }
@@ -750,10 +522,8 @@ bool MatrixBase<Derived>::isIdentity
  return true;
 }

-namespace internal {
-
 template<typename Derived, bool Big = (Derived::SizeAtCompileTime>=16)>
-struct setIdentity_impl
+struct ei_setIdentity_impl
 {
  static EIGEN_STRONG_INLINE Derived& run(Derived& m)
  {
@@ -762,58 +532,38 @@ struct setIdentity_impl
 };

 template<typename Derived>
-struct setIdentity_impl<Derived, true>
+struct ei_setIdentity_impl<Derived, true>
 {
-  typedef typename Derived::Index Index;
  static EIGEN_STRONG_INLINE Derived& run(Derived& m)
  {
    m.setZero();
-    const Index size = (std::min)(m.rows(), m.cols());
-    for(Index i = 0; i < size; ++i) m.coeffRef(i,i) = typename Derived::Scalar(1);
+    const int size = std::min(m.rows(), m.cols());
+    for(int i = 0; i < size; ++i) m.coeffRef(i,i) = typename Derived::Scalar(1);
    return m;
  }
 };

-} // end namespace internal
-
 /** Writes the identity expression (not necessarily square) into *this.
  *
  * Example: \include MatrixBase_setIdentity.cpp
  * Output: \verbinclude MatrixBase_setIdentity.out
  *
-  * \sa class CwiseNullaryOp, Identity(), Identity(Index,Index), isIdentity()
+  * \sa class CwiseNullaryOp, Identity(), Identity(int,int), isIdentity()
  */
 template<typename Derived>
 EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>::setIdentity()
 {
-  return internal::setIdentity_impl<Derived>::run(derived());
-}
-
-/** \brief Resizes to the given size, and writes the identity expression (not necessarily square) into *this.
-  *
-  * \param rows the new number of rows
-  * \param cols the new number of columns
-  *
-  * Example: \include Matrix_setIdentity_int_int.cpp
-  * Output: \verbinclude Matrix_setIdentity_int_int.out
-  *
-  * \sa MatrixBase::setIdentity(), class CwiseNullaryOp, MatrixBase::Identity()
-  */
-template<typename Derived>
-EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>::setIdentity(Index rows, Index cols)
-{
-  derived().resize(rows, cols);
-  return setIdentity();
+  return ei_setIdentity_impl<Derived>::run(derived());
 }

 /** \returns an expression of the i-th unit (basis) vector.
  *
  * \only_for_vectors
  *
-  * \sa MatrixBase::Unit(Index), MatrixBase::UnitX(), MatrixBase::UnitY(), MatrixBase::UnitZ(), MatrixBase::UnitW()
+  * \sa MatrixBase::Unit(int), MatrixBase::UnitX(), MatrixBase::UnitY(), MatrixBase::UnitZ(), MatrixBase::UnitW()
  */
 template<typename Derived>
-EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::BasisReturnType MatrixBase<Derived>::Unit(Index size, Index i)
+EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::BasisReturnType MatrixBase<Derived>::Unit(int size, int i)
 {
  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
  return BasisReturnType(SquareMatrixType::Identity(size,size), i);
@@ -825,10 +575,10 @@ EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::BasisReturnType MatrixBa
  *
  * This variant is for fixed-size vector only.
  *
-  * \sa MatrixBase::Unit(Index,Index), MatrixBase::UnitX(), MatrixBase::UnitY(), MatrixBase::UnitZ(), MatrixBase::UnitW()
+  * \sa MatrixBase::Unit(int,int), MatrixBase::UnitX(), MatrixBase::UnitY(), MatrixBase::UnitZ(), MatrixBase::UnitW()
  */
 template<typename Derived>
-EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::BasisReturnType MatrixBase<Derived>::Unit(Index i)
+EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::BasisReturnType MatrixBase<Derived>::Unit(int i)
 {
  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
  return BasisReturnType(SquareMatrixType::Identity(),i);
@@ -838,7 +588,7 @@ EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::BasisReturnType MatrixBa
  *
  * \only_for_vectors
  *
-  * \sa MatrixBase::Unit(Index,Index), MatrixBase::Unit(Index), MatrixBase::UnitY(), MatrixBase::UnitZ(), MatrixBase::UnitW()
+  * \sa MatrixBase::Unit(int,int), MatrixBase::Unit(int), MatrixBase::UnitY(), MatrixBase::UnitZ(), MatrixBase::UnitW()
  */
 template<typename Derived>
 EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::BasisReturnType MatrixBase<Derived>::UnitX()
@@ -848,7 +598,7 @@ EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::BasisReturnType MatrixBa
  *
  * \only_for_vectors
  *
-  * \sa MatrixBase::Unit(Index,Index), MatrixBase::Unit(Index), MatrixBase::UnitY(), MatrixBase::UnitZ(), MatrixBase::UnitW()
+  * \sa MatrixBase::Unit(int,int), MatrixBase::Unit(int), MatrixBase::UnitY(), MatrixBase::UnitZ(), MatrixBase::UnitW()
  */
 template<typename Derived>
 EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::BasisReturnType MatrixBase<Derived>::UnitY()
@@ -858,7 +608,7 @@ EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::BasisReturnType MatrixBa
  *
  * \only_for_vectors
  *
-  * \sa MatrixBase::Unit(Index,Index), MatrixBase::Unit(Index), MatrixBase::UnitY(), MatrixBase::UnitZ(), MatrixBase::UnitW()
+  * \sa MatrixBase::Unit(int,int), MatrixBase::Unit(int), MatrixBase::UnitY(), MatrixBase::UnitZ(), MatrixBase::UnitW()
  */
 template<typename Derived>
 EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::BasisReturnType MatrixBase<Derived>::UnitZ()
@@ -868,12 +618,10 @@ EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::BasisReturnType MatrixBa
  *
  * \only_for_vectors
  *
-  * \sa MatrixBase::Unit(Index,Index), MatrixBase::Unit(Index), MatrixBase::UnitY(), MatrixBase::UnitZ(), MatrixBase::UnitW()
+  * \sa MatrixBase::Unit(int,int), MatrixBase::Unit(int), MatrixBase::UnitY(), MatrixBase::UnitZ(), MatrixBase::UnitW()
  */
 template<typename Derived>
 EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::BasisReturnType MatrixBase<Derived>::UnitW()
 { return Derived::Unit(3); }

-} // end namespace Eigen
-
 #endif // EIGEN_CWISE_NULLARY_OP_H
--- a/Eigen/src/Core/CwiseUnaryOp.h
+++ b/Eigen/src/Core/CwiseUnaryOp.h
@@ -1,7 +1,7 @@
 // This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
+// for linear algebra. Eigen itself is part of the KDE project.
 //
-// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
 // Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
 //
 // Eigen is free software; you can redistribute it and/or
@@ -26,116 +26,204 @@
 #ifndef EIGEN_CWISE_UNARY_OP_H
 #define EIGEN_CWISE_UNARY_OP_H

-namespace Eigen { 
-
 /** \class CwiseUnaryOp
-  * \ingroup Core_Module
  *
-  * \brief Generic expression where a coefficient-wise unary operator is applied to an expression
+  * \brief Generic expression of a coefficient-wise unary operator of a matrix or a vector
  *
  * \param UnaryOp template functor implementing the operator
-  * \param XprType the type of the expression to which we are applying the unary operator
+  * \param MatrixType the type of the matrix we are applying the unary operator
  *
-  * This class represents an expression where a unary operator is applied to an expression.
-  * It is the return type of all operations taking exactly 1 input expression, regardless of the
-  * presence of other inputs such as scalars. For example, the operator* in the expression 3*matrix
-  * is considered unary, because only the right-hand side is an expression, and its
-  * return type is a specialization of CwiseUnaryOp.
-  *
-  * Most of the time, this is the only way that it is used, so you typically don't have to name
-  * CwiseUnaryOp types explicitly.
+  * This class represents an expression of a generic unary operator of a matrix or a vector.
+  * It is the return type of the unary operator-, of a matrix or a vector, and most
+  * of the time this is the only way it is used.
  *
  * \sa MatrixBase::unaryExpr(const CustomUnaryOp &) const, class CwiseBinaryOp, class CwiseNullaryOp
  */
-
-namespace internal {
-template<typename UnaryOp, typename XprType>
-struct traits<CwiseUnaryOp<UnaryOp, XprType> >
- : traits<XprType>
+template<typename UnaryOp, typename MatrixType>
+struct ei_traits<CwiseUnaryOp<UnaryOp, MatrixType> >
+ : ei_traits<MatrixType>
 {
-  typedef typename result_of<
-                     UnaryOp(typename XprType::Scalar)
+  typedef typename ei_result_of<
+                     UnaryOp(typename MatrixType::Scalar)
                   >::type Scalar;
-  typedef typename XprType::Nested XprTypeNested;
-  typedef typename remove_reference<XprTypeNested>::type _XprTypeNested;
+  typedef typename MatrixType::Nested MatrixTypeNested;
+  typedef typename ei_unref<MatrixTypeNested>::type _MatrixTypeNested;
  enum {
-    Flags = _XprTypeNested::Flags & (
+    Flags = (_MatrixTypeNested::Flags & (
      HereditaryBits | LinearAccessBit | AlignedBit
-      | (functor_traits<UnaryOp>::PacketAccess ? PacketAccessBit : 0)),
-    CoeffReadCost = _XprTypeNested::CoeffReadCost + functor_traits<UnaryOp>::Cost
+      | (ei_functor_traits<UnaryOp>::PacketAccess ? PacketAccessBit : 0))),
+    CoeffReadCost = _MatrixTypeNested::CoeffReadCost + ei_functor_traits<UnaryOp>::Cost
  };
 };
-}

-template<typename UnaryOp, typename XprType, typename StorageKind>
-class CwiseUnaryOpImpl;
-
-template<typename UnaryOp, typename XprType>
-class CwiseUnaryOp : internal::no_assignment_operator,
-  public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>
+template<typename UnaryOp, typename MatrixType>
+class CwiseUnaryOp : ei_no_assignment_operator,
+  public MatrixBase<CwiseUnaryOp<UnaryOp, MatrixType> >
 {
  public:

-    typedef typename CwiseUnaryOpImpl<UnaryOp, XprType,typename internal::traits<XprType>::StorageKind>::Base Base;
    EIGEN_GENERIC_PUBLIC_INTERFACE(CwiseUnaryOp)

-    inline CwiseUnaryOp(const XprType& xpr, const UnaryOp& func = UnaryOp())
-      : m_xpr(xpr), m_functor(func) {}
+    inline CwiseUnaryOp(const MatrixType& mat, const UnaryOp& func = UnaryOp())
+      : m_matrix(mat), m_functor(func) {}

-    EIGEN_STRONG_INLINE Index rows() const { return m_xpr.rows(); }
-    EIGEN_STRONG_INLINE Index cols() const { return m_xpr.cols(); }
+    EIGEN_STRONG_INLINE int rows() const { return m_matrix.rows(); }
+    EIGEN_STRONG_INLINE int cols() const { return m_matrix.cols(); }

-    /** \returns the functor representing the unary operation */
-    const UnaryOp& functor() const { return m_functor; }
+    EIGEN_STRONG_INLINE const Scalar coeff(int row, int col) const
+    {
+      return m_functor(m_matrix.coeff(row, col));
+    }

-    /** \returns the nested expression */
-    const typename internal::remove_all<typename XprType::Nested>::type&
-    nestedExpression() const { return m_xpr; }
+    template<int LoadMode>
+    EIGEN_STRONG_INLINE PacketScalar packet(int row, int col) const
+    {
+      return m_functor.packetOp(m_matrix.template packet<LoadMode>(row, col));
+    }

-    /** \returns the nested expression */
-    typename internal::remove_all<typename XprType::Nested>::type&
-    nestedExpression() { return m_xpr.const_cast_derived(); }
+    EIGEN_STRONG_INLINE const Scalar coeff(int index) const
+    {
+      return m_functor(m_matrix.coeff(index));
+    }
+
+    template<int LoadMode>
+    EIGEN_STRONG_INLINE PacketScalar packet(int index) const
+    {
+      return m_functor.packetOp(m_matrix.template packet<LoadMode>(index));
+    }

  protected:
-    typename XprType::Nested m_xpr;
+    const typename MatrixType::Nested m_matrix;
    const UnaryOp m_functor;
 };

-// This is the generic implementation for dense storage.
-// It can be used for any expression types implementing the dense concept.
-template<typename UnaryOp, typename XprType>
-class CwiseUnaryOpImpl<UnaryOp,XprType,Dense>
-  : public internal::dense_xpr_base<CwiseUnaryOp<UnaryOp, XprType> >::type
+/** \returns an expression of a custom coefficient-wise unary operator \a func of *this
+  *
+  * The template parameter \a CustomUnaryOp is the type of the functor
+  * of the custom unary operator.
+  *
+  * \addexample CustomCwiseUnaryFunctors \label How to use custom coeff wise unary functors
+  *
+  * Example:
+  * \include class_CwiseUnaryOp.cpp
+  * Output: \verbinclude class_CwiseUnaryOp.out
+  *
+  * \sa class CwiseUnaryOp, class CwiseBinarOp, MatrixBase::operator-, Cwise::abs
+  */
+template<typename Derived>
+template<typename CustomUnaryOp>
+EIGEN_STRONG_INLINE const CwiseUnaryOp<CustomUnaryOp, Derived>
+MatrixBase<Derived>::unaryExpr(const CustomUnaryOp& func) const
 {
-  public:
+  return CwiseUnaryOp<CustomUnaryOp, Derived>(derived(), func);
+}

-    typedef CwiseUnaryOp<UnaryOp, XprType> Derived;
-    typedef typename internal::dense_xpr_base<CwiseUnaryOp<UnaryOp, XprType> >::type Base;
-    EIGEN_DENSE_PUBLIC_INTERFACE(Derived)
+/** \returns an expression of the opposite of \c *this
+  */
+template<typename Derived>
+EIGEN_STRONG_INLINE const CwiseUnaryOp<ei_scalar_opposite_op<typename ei_traits<Derived>::Scalar>,Derived>
+MatrixBase<Derived>::operator-() const
+{
+  return derived();
+}

-    EIGEN_STRONG_INLINE const Scalar coeff(Index row, Index col) const
-    {
-      return derived().functor()(derived().nestedExpression().coeff(row, col));
-    }
+/** \returns an expression of the coefficient-wise absolute value of \c *this
+  *
+  * Example: \include Cwise_abs.cpp
+  * Output: \verbinclude Cwise_abs.out
+  *
+  * \sa abs2()
+  */
+template<typename ExpressionType>
+EIGEN_STRONG_INLINE const EIGEN_CWISE_UNOP_RETURN_TYPE(ei_scalar_abs_op)
+Cwise<ExpressionType>::abs() const
+{
+  return _expression();
+}

-    template<int LoadMode>
-    EIGEN_STRONG_INLINE PacketScalar packet(Index row, Index col) const
-    {
-      return derived().functor().packetOp(derived().nestedExpression().template packet<LoadMode>(row, col));
-    }
+/** \returns an expression of the coefficient-wise squared absolute value of \c *this
+  *
+  * Example: \include Cwise_abs2.cpp
+  * Output: \verbinclude Cwise_abs2.out
+  *
+  * \sa abs(), square()
+  */
+template<typename ExpressionType>
+EIGEN_STRONG_INLINE const EIGEN_CWISE_UNOP_RETURN_TYPE(ei_scalar_abs2_op)
+Cwise<ExpressionType>::abs2() const
+{
+  return _expression();
+}

-    EIGEN_STRONG_INLINE const Scalar coeff(Index index) const
-    {
-      return derived().functor()(derived().nestedExpression().coeff(index));
-    }
+/** \returns an expression of the complex conjugate of \c *this.
+  *
+  * \sa adjoint() */
+template<typename Derived>
+EIGEN_STRONG_INLINE typename MatrixBase<Derived>::ConjugateReturnType
+MatrixBase<Derived>::conjugate() const
+{
+  return ConjugateReturnType(derived());
+}

-    template<int LoadMode>
-    EIGEN_STRONG_INLINE PacketScalar packet(Index index) const
-    {
-      return derived().functor().packetOp(derived().nestedExpression().template packet<LoadMode>(index));
-    }
-};
+/** \returns an expression of the real part of \c *this.
+  *
+  * \sa imag() */
+template<typename Derived>
+EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::RealReturnType
+MatrixBase<Derived>::real() const { return derived(); }

-} // end namespace Eigen
+/** \returns an expression of the imaginary part of \c *this.
+  *
+  * \sa real() */
+template<typename Derived>
+EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::ImagReturnType
+MatrixBase<Derived>::imag() const { return derived(); }
+
+/** \returns an expression of *this with the \a Scalar type casted to
+  * \a NewScalar.
+  *
+  * The template parameter \a NewScalar is the type we are casting the scalars to.
+  *
+  * \sa class CwiseUnaryOp
+  */
+template<typename Derived>
+template<typename NewType>
+EIGEN_STRONG_INLINE const CwiseUnaryOp<ei_scalar_cast_op<typename ei_traits<Derived>::Scalar, NewType>, Derived>
+MatrixBase<Derived>::cast() const
+{
+  return derived();
+}
+
+/** \relates MatrixBase */
+template<typename Derived>
+EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::ScalarMultipleReturnType
+MatrixBase<Derived>::operator*(const Scalar& scalar) const
+{
+  return CwiseUnaryOp<ei_scalar_multiple_op<Scalar>, Derived>
+    (derived(), ei_scalar_multiple_op<Scalar>(scalar));
+}
+
+/** \relates MatrixBase */
+template<typename Derived>
+EIGEN_STRONG_INLINE const CwiseUnaryOp<ei_scalar_quotient1_op<typename ei_traits<Derived>::Scalar>, Derived>
+MatrixBase<Derived>::operator/(const Scalar& scalar) const
+{
+  return CwiseUnaryOp<ei_scalar_quotient1_op<Scalar>, Derived>
+    (derived(), ei_scalar_quotient1_op<Scalar>(scalar));
+}
+
+template<typename Derived>
+EIGEN_STRONG_INLINE Derived&
+MatrixBase<Derived>::operator*=(const Scalar& other)
+{
+  return *this = *this * other;
+}
+
+template<typename Derived>
+EIGEN_STRONG_INLINE Derived&
+MatrixBase<Derived>::operator/=(const Scalar& other)
+{
+  return *this = *this / other;
+}

 #endif // EIGEN_CWISE_UNARY_OP_H
--- a/Eigen/src/Core/CwiseUnaryView.h
+++ b/Eigen/src/Core/CwiseUnaryView.h
@@ -1,150 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
-//
-// Eigen is free software; you can redistribute it and/or
-// modify it under the terms of the GNU Lesser General Public
-// License as published by the Free Software Foundation; either
-// version 3 of the License, or (at your option) any later version.
-//
-// Alternatively, you can redistribute it and/or
-// modify it under the terms of the GNU General Public License as
-// published by the Free Software Foundation; either version 2 of
-// the License, or (at your option) any later version.
-//
-// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
-// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
-// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU Lesser General Public
-// License and a copy of the GNU General Public License along with
-// Eigen. If not, see <http://www.gnu.org/licenses/>.
-
-#ifndef EIGEN_CWISE_UNARY_VIEW_H
-#define EIGEN_CWISE_UNARY_VIEW_H
-
-namespace Eigen {
-
-/** \class CwiseUnaryView
-  * \ingroup Core_Module
-  *
-  * \brief Generic lvalue expression of a coefficient-wise unary operator of a matrix or a vector
-  *
-  * \param ViewOp template functor implementing the view
-  * \param MatrixType the type of the matrix we are applying the unary operator
-  *
-  * This class represents a lvalue expression of a generic unary view operator of a matrix or a vector.
-  * It is the return type of real() and imag(), and most of the time this is the only way it is used.
-  *
-  * \sa MatrixBase::unaryViewExpr(const CustomUnaryOp &) const, class CwiseUnaryOp
-  */
-
-namespace internal {
-template<typename ViewOp, typename MatrixType>
-struct traits<CwiseUnaryView<ViewOp, MatrixType> >
- : traits<MatrixType>
-{
-  typedef typename result_of<
-                     ViewOp(typename traits<MatrixType>::Scalar)
-                   >::type Scalar;
-  typedef typename MatrixType::Nested MatrixTypeNested;
-  typedef typename remove_all<MatrixTypeNested>::type _MatrixTypeNested;
-  enum {
-    Flags = (traits<_MatrixTypeNested>::Flags & (HereditaryBits | LvalueBit | LinearAccessBit | DirectAccessBit)),
-    CoeffReadCost = traits<_MatrixTypeNested>::CoeffReadCost + functor_traits<ViewOp>::Cost,
-    MatrixTypeInnerStride =  inner_stride_at_compile_time<MatrixType>::ret,
-    // need to cast the sizeof's from size_t to int explicitly, otherwise:
-    // "error: no integral type can represent all of the enumerator values
-    InnerStrideAtCompileTime = MatrixTypeInnerStride == Dynamic
-                             ? int(Dynamic)
-                             : int(MatrixTypeInnerStride)
-                               * int(sizeof(typename traits<MatrixType>::Scalar) / sizeof(Scalar)),
-    OuterStrideAtCompileTime = outer_stride_at_compile_time<MatrixType>::ret
-  };
-};
-}
-
-template<typename ViewOp, typename MatrixType, typename StorageKind>
-class CwiseUnaryViewImpl;
-
-template<typename ViewOp, typename MatrixType>
-class CwiseUnaryView : internal::no_assignment_operator,
-  public CwiseUnaryViewImpl<ViewOp, MatrixType, typename internal::traits<MatrixType>::StorageKind>
-{
-  public:
-
-    typedef typename CwiseUnaryViewImpl<ViewOp, MatrixType,typename internal::traits<MatrixType>::StorageKind>::Base Base;
-    EIGEN_GENERIC_PUBLIC_INTERFACE(CwiseUnaryView)
-
-    inline CwiseUnaryView(const MatrixType& mat, const ViewOp& func = ViewOp())
-      : m_matrix(mat), m_functor(func) {}
-
-    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(CwiseUnaryView)
-
-    EIGEN_STRONG_INLINE Index rows() const { return m_matrix.rows(); }
-    EIGEN_STRONG_INLINE Index cols() const { return m_matrix.cols(); }
-
-    /** \returns the functor representing unary operation */
-    const ViewOp& functor() const { return m_functor; }
-
-    /** \returns the nested expression */
-    const typename internal::remove_all<typename MatrixType::Nested>::type&
-    nestedExpression() const { return m_matrix; }
-
-    /** \returns the nested expression */
-    typename internal::remove_all<typename MatrixType::Nested>::type&
-    nestedExpression() { return m_matrix.const_cast_derived(); }
-
-  protected:
-    // FIXME changed from MatrixType::Nested because of a weird compilation error with sun CC
-    typename internal::nested<MatrixType>::type m_matrix;
-    ViewOp m_functor;
-};
-
-template<typename ViewOp, typename MatrixType>
-class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
-  : public internal::dense_xpr_base< CwiseUnaryView<ViewOp, MatrixType> >::type
-{
-  public:
-
-    typedef CwiseUnaryView<ViewOp, MatrixType> Derived;
-    typedef typename internal::dense_xpr_base< CwiseUnaryView<ViewOp, MatrixType> >::type Base;
-
-    EIGEN_DENSE_PUBLIC_INTERFACE(Derived)
-
-    inline Index innerStride() const
-    {
-      return derived().nestedExpression().innerStride() * sizeof(typename internal::traits<MatrixType>::Scalar) / sizeof(Scalar);
-    }
-
-    inline Index outerStride() const
-    {
-      return derived().nestedExpression().outerStride();
-    }
-
-    EIGEN_STRONG_INLINE CoeffReturnType coeff(Index row, Index col) const
-    {
-      return derived().functor()(derived().nestedExpression().coeff(row, col));
-    }
-
-    EIGEN_STRONG_INLINE CoeffReturnType coeff(Index index) const
-    {
-      return derived().functor()(derived().nestedExpression().coeff(index));
-    }
-
-    EIGEN_STRONG_INLINE Scalar& coeffRef(Index row, Index col)
-    {
-      return derived().functor()(const_cast_derived().nestedExpression().coeffRef(row, col));
-    }
-
-    EIGEN_STRONG_INLINE Scalar& coeffRef(Index index)
-    {
-      return derived().functor()(const_cast_derived().nestedExpression().coeffRef(index));
-    }
-};
-
-} // end namespace Eigen
-
-#endif // EIGEN_CWISE_UNARY_VIEW_H
--- a/Eigen/src/Core/DenseBase.h
+++ b/Eigen/src/Core/DenseBase.h
@@ -1,548 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2007-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
-// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
-//
-// Eigen is free software; you can redistribute it and/or
-// modify it under the terms of the GNU Lesser General Public
-// License as published by the Free Software Foundation; either
-// version 3 of the License, or (at your option) any later version.
-//
-// Alternatively, you can redistribute it and/or
-// modify it under the terms of the GNU General Public License as
-// published by the Free Software Foundation; either version 2 of
-// the License, or (at your option) any later version.
-//
-// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
-// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
-// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU Lesser General Public
-// License and a copy of the GNU General Public License along with
-// Eigen. If not, see <http://www.gnu.org/licenses/>.
-
-#ifndef EIGEN_DENSEBASE_H
-#define EIGEN_DENSEBASE_H
-
-namespace Eigen {
-
-/** \class DenseBase
-  * \ingroup Core_Module
-  *
-  * \brief Base class for all dense matrices, vectors, and arrays
-  *
-  * This class is the base that is inherited by all dense objects (matrix, vector, arrays,
-  * and related expression types). The common Eigen API for dense objects is contained in this class.
-  *
-  * \tparam Derived is the derived type, e.g., a matrix type or an expression.
-  *
-  * This class can be extended with the help of the plugin mechanism described on the page
-  * \ref TopicCustomizingEigen by defining the preprocessor symbol \c EIGEN_DENSEBASE_PLUGIN.
-  *
-  * \sa \ref TopicClassHierarchy
-  */
-template<typename Derived> class DenseBase
-#ifndef EIGEN_PARSED_BY_DOXYGEN
-  : public internal::special_scalar_op_base<Derived,typename internal::traits<Derived>::Scalar,
-                                     typename NumTraits<typename internal::traits<Derived>::Scalar>::Real>
-#else
-  : public DenseCoeffsBase<Derived>
-#endif // not EIGEN_PARSED_BY_DOXYGEN
-{
-  public:
-    using internal::special_scalar_op_base<Derived,typename internal::traits<Derived>::Scalar,
-                typename NumTraits<typename internal::traits<Derived>::Scalar>::Real>::operator*;
-
-    class InnerIterator;
-
-    typedef typename internal::traits<Derived>::StorageKind StorageKind;
-
-    /** \brief The type of indices 
-      * \details To change this, \c \#define the preprocessor symbol \c EIGEN_DEFAULT_DENSE_INDEX_TYPE.
-      * \sa \ref TopicPreprocessorDirectives.
-      */
-    typedef typename internal::traits<Derived>::Index Index; 
-
-    typedef typename internal::traits<Derived>::Scalar Scalar;
-    typedef typename internal::packet_traits<Scalar>::type PacketScalar;
-    typedef typename NumTraits<Scalar>::Real RealScalar;
-
-    typedef DenseCoeffsBase<Derived> Base;
-    using Base::derived;
-    using Base::const_cast_derived;
-    using Base::rows;
-    using Base::cols;
-    using Base::size;
-    using Base::rowIndexByOuterInner;
-    using Base::colIndexByOuterInner;
-    using Base::coeff;
-    using Base::coeffByOuterInner;
-    using Base::packet;
-    using Base::packetByOuterInner;
-    using Base::writePacket;
-    using Base::writePacketByOuterInner;
-    using Base::coeffRef;
-    using Base::coeffRefByOuterInner;
-    using Base::copyCoeff;
-    using Base::copyCoeffByOuterInner;
-    using Base::copyPacket;
-    using Base::copyPacketByOuterInner;
-    using Base::operator();
-    using Base::operator[];
-    using Base::x;
-    using Base::y;
-    using Base::z;
-    using Base::w;
-    using Base::stride;
-    using Base::innerStride;
-    using Base::outerStride;
-    using Base::rowStride;
-    using Base::colStride;
-    typedef typename Base::CoeffReturnType CoeffReturnType;
-
-    enum {
-
-      RowsAtCompileTime = internal::traits<Derived>::RowsAtCompileTime,
-        /**< The number of rows at compile-time. This is just a copy of the value provided
-          * by the \a Derived type. If a value is not known at compile-time,
-          * it is set to the \a Dynamic constant.
-          * \sa MatrixBase::rows(), MatrixBase::cols(), ColsAtCompileTime, SizeAtCompileTime */
-
-      ColsAtCompileTime = internal::traits<Derived>::ColsAtCompileTime,
-        /**< The number of columns at compile-time. This is just a copy of the value provided
-          * by the \a Derived type. If a value is not known at compile-time,
-          * it is set to the \a Dynamic constant.
-          * \sa MatrixBase::rows(), MatrixBase::cols(), RowsAtCompileTime, SizeAtCompileTime */
-
-
-      SizeAtCompileTime = (internal::size_at_compile_time<internal::traits<Derived>::RowsAtCompileTime,
-                                                   internal::traits<Derived>::ColsAtCompileTime>::ret),
-        /**< This is equal to the number of coefficients, i.e. the number of
-          * rows times the number of columns, or to \a Dynamic if this is not
-          * known at compile-time. \sa RowsAtCompileTime, ColsAtCompileTime */
-
-      MaxRowsAtCompileTime = internal::traits<Derived>::MaxRowsAtCompileTime,
-        /**< This value is equal to the maximum possible number of rows that this expression
-          * might have. If this expression might have an arbitrarily high number of rows,
-          * this value is set to \a Dynamic.
-          *
-          * This value is useful to know when evaluating an expression, in order to determine
-          * whether it is possible to avoid doing a dynamic memory allocation.
-          *
-          * \sa RowsAtCompileTime, MaxColsAtCompileTime, MaxSizeAtCompileTime
-          */
-
-      MaxColsAtCompileTime = internal::traits<Derived>::MaxColsAtCompileTime,
-        /**< This value is equal to the maximum possible number of columns that this expression
-          * might have. If this expression might have an arbitrarily high number of columns,
-          * this value is set to \a Dynamic.
-          *
-          * This value is useful to know when evaluating an expression, in order to determine
-          * whether it is possible to avoid doing a dynamic memory allocation.
-          *
-          * \sa ColsAtCompileTime, MaxRowsAtCompileTime, MaxSizeAtCompileTime
-          */
-
-      MaxSizeAtCompileTime = (internal::size_at_compile_time<internal::traits<Derived>::MaxRowsAtCompileTime,
-                                                      internal::traits<Derived>::MaxColsAtCompileTime>::ret),
-        /**< This value is equal to the maximum possible number of coefficients that this expression
-          * might have. If this expression might have an arbitrarily high number of coefficients,
-          * this value is set to \a Dynamic.
-          *
-          * This value is useful to know when evaluating an expression, in order to determine
-          * whether it is possible to avoid doing a dynamic memory allocation.
-          *
-          * \sa SizeAtCompileTime, MaxRowsAtCompileTime, MaxColsAtCompileTime
-          */
-
-      IsVectorAtCompileTime = internal::traits<Derived>::MaxRowsAtCompileTime == 1
-                           || internal::traits<Derived>::MaxColsAtCompileTime == 1,
-        /**< This is set to true if either the number of rows or the number of
-          * columns is known at compile-time to be equal to 1. Indeed, in that case,
-          * we are dealing with a column-vector (if there is only one column) or with
-          * a row-vector (if there is only one row). */
-
-      Flags = internal::traits<Derived>::Flags,
-        /**< This stores expression \ref flags flags which may or may not be inherited by new expressions
-          * constructed from this one. See the \ref flags "list of flags".
-          */
-
-      IsRowMajor = int(Flags) & RowMajorBit, /**< True if this expression has row-major storage order. */
-
-      InnerSizeAtCompileTime = int(IsVectorAtCompileTime) ? int(SizeAtCompileTime)
-                             : int(IsRowMajor) ? int(ColsAtCompileTime) : int(RowsAtCompileTime),
-
-      CoeffReadCost = internal::traits<Derived>::CoeffReadCost,
-        /**< This is a rough measure of how expensive it is to read one coefficient from
-          * this expression.
-          */
-
-      InnerStrideAtCompileTime = internal::inner_stride_at_compile_time<Derived>::ret,
-      OuterStrideAtCompileTime = internal::outer_stride_at_compile_time<Derived>::ret
-    };
-
-    enum { ThisConstantIsPrivateInPlainObjectBase };
-
-    /** \returns the number of nonzero coefficients which is in practice the number
-      * of stored coefficients. */
-    inline Index nonZeros() const { return size(); }
-    /** \returns true if either the number of rows or the number of columns is equal to 1.
-      * In other words, this function returns
-      * \code rows()==1 || cols()==1 \endcode
-      * \sa rows(), cols(), IsVectorAtCompileTime. */
-
-    /** \returns the outer size.
-      *
-      * \note For a vector, this returns just 1. For a matrix (non-vector), this is the major dimension
-      * with respect to the \ref TopicStorageOrders "storage order", i.e., the number of columns for a
-      * column-major matrix, and the number of rows for a row-major matrix. */
-    Index outerSize() const
-    {
-      return IsVectorAtCompileTime ? 1
-           : int(IsRowMajor) ? this->rows() : this->cols();
-    }
-
-    /** \returns the inner size.
-      *
-      * \note For a vector, this is just the size. For a matrix (non-vector), this is the minor dimension
-      * with respect to the \ref TopicStorageOrders "storage order", i.e., the number of rows for a 
-      * column-major matrix, and the number of columns for a row-major matrix. */
-    Index innerSize() const
-    {
-      return IsVectorAtCompileTime ? this->size()
-           : int(IsRowMajor) ? this->cols() : this->rows();
-    }
-
-    /** Only plain matrices/arrays, not expressions, may be resized; therefore the only useful resize methods are
-      * Matrix::resize() and Array::resize(). The present method only asserts that the new size equals the old size, and does
-      * nothing else.
-      */
-    void resize(Index size)
-    {
-      EIGEN_ONLY_USED_FOR_DEBUG(size);
-      eigen_assert(size == this->size()
-                && "DenseBase::resize() does not actually allow to resize.");
-    }
-    /** Only plain matrices/arrays, not expressions, may be resized; therefore the only useful resize methods are
-      * Matrix::resize() and Array::resize(). The present method only asserts that the new size equals the old size, and does
-      * nothing else.
-      */
-    void resize(Index rows, Index cols)
-    {
-      EIGEN_ONLY_USED_FOR_DEBUG(rows);
-      EIGEN_ONLY_USED_FOR_DEBUG(cols);
-      eigen_assert(rows == this->rows() && cols == this->cols()
-                && "DenseBase::resize() does not actually allow to resize.");
-    }
-
-#ifndef EIGEN_PARSED_BY_DOXYGEN
-
-    /** \internal Represents a matrix with all coefficients equal to one another*/
-    typedef CwiseNullaryOp<internal::scalar_constant_op<Scalar>,Derived> ConstantReturnType;
-    /** \internal Represents a vector with linearly spaced coefficients that allows sequential access only. */
-    typedef CwiseNullaryOp<internal::linspaced_op<Scalar,false>,Derived> SequentialLinSpacedReturnType;
-    /** \internal Represents a vector with linearly spaced coefficients that allows random access. */
-    typedef CwiseNullaryOp<internal::linspaced_op<Scalar,true>,Derived> RandomAccessLinSpacedReturnType;
-    /** \internal the return type of MatrixBase::eigenvalues() */
-    typedef Matrix<typename NumTraits<typename internal::traits<Derived>::Scalar>::Real, internal::traits<Derived>::ColsAtCompileTime, 1> EigenvaluesReturnType;
-
-#endif // not EIGEN_PARSED_BY_DOXYGEN
-
-    /** Copies \a other into *this. \returns a reference to *this. */
-    template<typename OtherDerived>
-    Derived& operator=(const DenseBase<OtherDerived>& other);
-
-    /** Special case of the template operator=, in order to prevent the compiler
-      * from generating a default operator= (issue hit with g++ 4.1)
-      */
-    Derived& operator=(const DenseBase& other);
-
-    template<typename OtherDerived>
-    Derived& operator=(const EigenBase<OtherDerived> &other);
-
-    template<typename OtherDerived>
-    Derived& operator+=(const EigenBase<OtherDerived> &other);
-
-    template<typename OtherDerived>
-    Derived& operator-=(const EigenBase<OtherDerived> &other);
-
-    template<typename OtherDerived>
-    Derived& operator=(const ReturnByValue<OtherDerived>& func);
-
-#ifndef EIGEN_PARSED_BY_DOXYGEN
-    /** Copies \a other into *this without evaluating other. \returns a reference to *this. */
-    template<typename OtherDerived>
-    Derived& lazyAssign(const DenseBase<OtherDerived>& other);
-#endif // not EIGEN_PARSED_BY_DOXYGEN
-
-    CommaInitializer<Derived> operator<< (const Scalar& s);
-
-    template<unsigned int Added,unsigned int Removed>
-    const Flagged<Derived, Added, Removed> flagged() const;
-
-    template<typename OtherDerived>
-    CommaInitializer<Derived> operator<< (const DenseBase<OtherDerived>& other);
-
-    Eigen::Transpose<Derived> transpose();
-    typedef const Transpose<const Derived> ConstTransposeReturnType;
-    ConstTransposeReturnType transpose() const;
-    void transposeInPlace();
-#ifndef EIGEN_NO_DEBUG
-  protected:
-    template<typename OtherDerived>
-    void checkTransposeAliasing(const OtherDerived& other) const;
-  public:
-#endif
-
-    typedef VectorBlock<Derived> SegmentReturnType;
-    typedef const VectorBlock<const Derived> ConstSegmentReturnType;
-    template<int Size> struct FixedSegmentReturnType { typedef VectorBlock<Derived, Size> Type; };
-    template<int Size> struct ConstFixedSegmentReturnType { typedef const VectorBlock<const Derived, Size> Type; };
-    
-    // Note: The "DenseBase::" prefixes are added to help MSVC9 to match these declarations with the later implementations.
-    SegmentReturnType segment(Index start, Index size);
-    typename DenseBase::ConstSegmentReturnType segment(Index start, Index size) const;
-
-    SegmentReturnType head(Index size);
-    typename DenseBase::ConstSegmentReturnType head(Index size) const;
-
-    SegmentReturnType tail(Index size);
-    typename DenseBase::ConstSegmentReturnType tail(Index size) const;
-
-    template<int Size> typename FixedSegmentReturnType<Size>::Type head();
-    template<int Size> typename ConstFixedSegmentReturnType<Size>::Type head() const;
-
-    template<int Size> typename FixedSegmentReturnType<Size>::Type tail();
-    template<int Size> typename ConstFixedSegmentReturnType<Size>::Type tail() const;
-
-    template<int Size> typename FixedSegmentReturnType<Size>::Type segment(Index start);
-    template<int Size> typename ConstFixedSegmentReturnType<Size>::Type segment(Index start) const;
-
-    static const ConstantReturnType
-    Constant(Index rows, Index cols, const Scalar& value);
-    static const ConstantReturnType
-    Constant(Index size, const Scalar& value);
-    static const ConstantReturnType
-    Constant(const Scalar& value);
-
-    static const SequentialLinSpacedReturnType
-    LinSpaced(Sequential_t, Index size, const Scalar& low, const Scalar& high);
-    static const RandomAccessLinSpacedReturnType
-    LinSpaced(Index size, const Scalar& low, const Scalar& high);
-    static const SequentialLinSpacedReturnType
-    LinSpaced(Sequential_t, const Scalar& low, const Scalar& high);
-    static const RandomAccessLinSpacedReturnType
-    LinSpaced(const Scalar& low, const Scalar& high);
-
-    template<typename CustomNullaryOp>
-    static const CwiseNullaryOp<CustomNullaryOp, Derived>
-    NullaryExpr(Index rows, Index cols, const CustomNullaryOp& func);
-    template<typename CustomNullaryOp>
-    static const CwiseNullaryOp<CustomNullaryOp, Derived>
-    NullaryExpr(Index size, const CustomNullaryOp& func);
-    template<typename CustomNullaryOp>
-    static const CwiseNullaryOp<CustomNullaryOp, Derived>
-    NullaryExpr(const CustomNullaryOp& func);
-
-    static const ConstantReturnType Zero(Index rows, Index cols);
-    static const ConstantReturnType Zero(Index size);
-    static const ConstantReturnType Zero();
-    static const ConstantReturnType Ones(Index rows, Index cols);
-    static const ConstantReturnType Ones(Index size);
-    static const ConstantReturnType Ones();
-
-    void fill(const Scalar& value);
-    Derived& setConstant(const Scalar& value);
-    Derived& setLinSpaced(Index size, const Scalar& low, const Scalar& high);
-    Derived& setLinSpaced(const Scalar& low, const Scalar& high);
-    Derived& setZero();
-    Derived& setOnes();
-    Derived& setRandom();
-
-    template<typename OtherDerived>
-    bool isApprox(const DenseBase<OtherDerived>& other,
-                  RealScalar prec = NumTraits<Scalar>::dummy_precision()) const;
-    bool isMuchSmallerThan(const RealScalar& other,
-                           RealScalar prec = NumTraits<Scalar>::dummy_precision()) const;
-    template<typename OtherDerived>
-    bool isMuchSmallerThan(const DenseBase<OtherDerived>& other,
-                           RealScalar prec = NumTraits<Scalar>::dummy_precision()) const;
-
-    bool isApproxToConstant(const Scalar& value, RealScalar prec = NumTraits<Scalar>::dummy_precision()) const;
-    bool isConstant(const Scalar& value, RealScalar prec = NumTraits<Scalar>::dummy_precision()) const;
-    bool isZero(RealScalar prec = NumTraits<Scalar>::dummy_precision()) const;
-    bool isOnes(RealScalar prec = NumTraits<Scalar>::dummy_precision()) const;
-
-    inline Derived& operator*=(const Scalar& other);
-    inline Derived& operator/=(const Scalar& other);
-
-    typedef typename internal::add_const_on_value_type<typename internal::eval<Derived>::type>::type EvalReturnType;
-    /** \returns the matrix or vector obtained by evaluating this expression.
-      *
-      * Notice that in the case of a plain matrix or vector (not an expression) this function just returns
-      * a const reference, in order to avoid a useless copy.
-      */
-    EIGEN_STRONG_INLINE EvalReturnType eval() const
-    {
-      // Even though MSVC does not honor strong inlining when the return type
-      // is a dynamic matrix, we desperately need strong inlining for fixed
-      // size types on MSVC.
-      return typename internal::eval<Derived>::type(derived());
-    }
-
-    /** swaps *this with the expression \a other.
-      *
-      */
-    template<typename OtherDerived>
-    void swap(const DenseBase<OtherDerived>& other,
-              int = OtherDerived::ThisConstantIsPrivateInPlainObjectBase)
-    {
-      SwapWrapper<Derived>(derived()).lazyAssign(other.derived());
-    }
-
-    /** swaps *this with the matrix or array \a other.
-      *
-      */
-    template<typename OtherDerived>
-    void swap(PlainObjectBase<OtherDerived>& other)
-    {
-      SwapWrapper<Derived>(derived()).lazyAssign(other.derived());
-    }
-
-
-    inline const NestByValue<Derived> nestByValue() const;
-    inline const ForceAlignedAccess<Derived> forceAlignedAccess() const;
-    inline ForceAlignedAccess<Derived> forceAlignedAccess();
-    template<bool Enable> inline const typename internal::conditional<Enable,ForceAlignedAccess<Derived>,Derived&>::type forceAlignedAccessIf() const;
-    template<bool Enable> inline typename internal::conditional<Enable,ForceAlignedAccess<Derived>,Derived&>::type forceAlignedAccessIf();
-
-    Scalar sum() const;
-    Scalar mean() const;
-    Scalar trace() const;
-
-    Scalar prod() const;
-
-    typename internal::traits<Derived>::Scalar minCoeff() const;
-    typename internal::traits<Derived>::Scalar maxCoeff() const;
-
-    template<typename IndexType>
-    typename internal::traits<Derived>::Scalar minCoeff(IndexType* row, IndexType* col) const;
-    template<typename IndexType>
-    typename internal::traits<Derived>::Scalar maxCoeff(IndexType* row, IndexType* col) const;
-    template<typename IndexType>
-    typename internal::traits<Derived>::Scalar minCoeff(IndexType* index) const;
-    template<typename IndexType>
-    typename internal::traits<Derived>::Scalar maxCoeff(IndexType* index) const;
-
-    template<typename BinaryOp>
-    typename internal::result_of<BinaryOp(typename internal::traits<Derived>::Scalar)>::type
-    redux(const BinaryOp& func) const;
-
-    template<typename Visitor>
-    void visit(Visitor& func) const;
-
-    inline const WithFormat<Derived> format(const IOFormat& fmt) const;
-
-    /** \returns the unique coefficient of a 1x1 expression */
-    CoeffReturnType value() const
-    {
-      EIGEN_STATIC_ASSERT_SIZE_1x1(Derived)
-      eigen_assert(this->rows() == 1 && this->cols() == 1);
-      return derived().coeff(0,0);
-    }
-
-/////////// Array module ///////////
-
-    bool all(void) const;
-    bool any(void) const;
-    Index count() const;
-
-    typedef VectorwiseOp<Derived, Horizontal> RowwiseReturnType;
-    typedef const VectorwiseOp<const Derived, Horizontal> ConstRowwiseReturnType;
-    typedef VectorwiseOp<Derived, Vertical> ColwiseReturnType;
-    typedef const VectorwiseOp<const Derived, Vertical> ConstColwiseReturnType;
-
-    ConstRowwiseReturnType rowwise() const;
-    RowwiseReturnType rowwise();
-    ConstColwiseReturnType colwise() const;
-    ColwiseReturnType colwise();
-
-    static const CwiseNullaryOp<internal::scalar_random_op<Scalar>,Derived> Random(Index rows, Index cols);
-    static const CwiseNullaryOp<internal::scalar_random_op<Scalar>,Derived> Random(Index size);
-    static const CwiseNullaryOp<internal::scalar_random_op<Scalar>,Derived> Random();
-
-    template<typename ThenDerived,typename ElseDerived>
-    const Select<Derived,ThenDerived,ElseDerived>
-    select(const DenseBase<ThenDerived>& thenMatrix,
-           const DenseBase<ElseDerived>& elseMatrix) const;
-
-    template<typename ThenDerived>
-    inline const Select<Derived,ThenDerived, typename ThenDerived::ConstantReturnType>
-    select(const DenseBase<ThenDerived>& thenMatrix, typename ThenDerived::Scalar elseScalar) const;
-
-    template<typename ElseDerived>
-    inline const Select<Derived, typename ElseDerived::ConstantReturnType, ElseDerived >
-    select(typename ElseDerived::Scalar thenScalar, const DenseBase<ElseDerived>& elseMatrix) const;
-
-    template<int p> RealScalar lpNorm() const;
-
-    template<int RowFactor, int ColFactor>
-    const Replicate<Derived,RowFactor,ColFactor> replicate() const;
-    const Replicate<Derived,Dynamic,Dynamic> replicate(Index rowFacor,Index colFactor) const;
-
-    typedef Reverse<Derived, BothDirections> ReverseReturnType;
-    typedef const Reverse<const Derived, BothDirections> ConstReverseReturnType;
-    ReverseReturnType reverse();
-    ConstReverseReturnType reverse() const;
-    void reverseInPlace();
-
-#define EIGEN_CURRENT_STORAGE_BASE_CLASS Eigen::DenseBase
-#   include "../plugins/BlockMethods.h"
-#   ifdef EIGEN_DENSEBASE_PLUGIN
-#     include EIGEN_DENSEBASE_PLUGIN
-#   endif
-#undef EIGEN_CURRENT_STORAGE_BASE_CLASS
-
-#ifdef EIGEN2_SUPPORT
-
-    Block<Derived> corner(CornerType type, Index cRows, Index cCols);
-    const Block<Derived> corner(CornerType type, Index cRows, Index cCols) const;
-    template<int CRows, int CCols>
-    Block<Derived, CRows, CCols> corner(CornerType type);
-    template<int CRows, int CCols>
-    const Block<Derived, CRows, CCols> corner(CornerType type) const;
-
-#endif // EIGEN2_SUPPORT
-
-
-    // disable the use of evalTo for dense objects with a nice compilation error
-    template<typename Dest> inline void evalTo(Dest& ) const
-    {
-      EIGEN_STATIC_ASSERT((internal::is_same<Dest,void>::value),THE_EVAL_EVALTO_FUNCTION_SHOULD_NEVER_BE_CALLED_FOR_DENSE_OBJECTS);
-    }
-
-  protected:
-    /** Default constructor. Do nothing. */
-    DenseBase()
-    {
-      /* Just checks for self-consistency of the flags.
-       * Only do it when debugging Eigen, as this borders on paranoiac and could slow compilation down
-       */
-#ifdef EIGEN_INTERNAL_DEBUGGING
-      EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, int(IsRowMajor))
-                        && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, int(!IsRowMajor))),
-                          INVALID_STORAGE_ORDER_FOR_THIS_VECTOR_EXPRESSION)
-#endif
-    }
-
-  private:
-    explicit DenseBase(int);
-    DenseBase(int,int);
-    template<typename OtherDerived> explicit DenseBase(const DenseBase<OtherDerived>&);
-};
-
-} // end namespace Eigen
-
-#endif // EIGEN_DENSEBASE_H
--- a/Eigen/src/Core/DenseCoeffsBase.h
+++ b/Eigen/src/Core/DenseCoeffsBase.h
@@ -1,769 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2006-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
-//
-// Eigen is free software; you can redistribute it and/or
-// modify it under the terms of the GNU Lesser General Public
-// License as published by the Free Software Foundation; either
-// version 3 of the License, or (at your option) any later version.
-//
-// Alternatively, you can redistribute it and/or
-// modify it under the terms of the GNU General Public License as
-// published by the Free Software Foundation; either version 2 of
-// the License, or (at your option) any later version.
-//
-// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
-// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
-// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU Lesser General Public
-// License and a copy of the GNU General Public License along with
-// Eigen. If not, see <http://www.gnu.org/licenses/>.
-
-#ifndef EIGEN_DENSECOEFFSBASE_H
-#define EIGEN_DENSECOEFFSBASE_H
-
-namespace Eigen {
-
-namespace internal {
-template<typename T> struct add_const_on_value_type_if_arithmetic
-{
-  typedef typename conditional<is_arithmetic<T>::value, T, typename add_const_on_value_type<T>::type>::type type;
-};
-}
-
-/** \brief Base class providing read-only coefficient access to matrices and arrays.
-  * \ingroup Core_Module
-  * \tparam Derived Type of the derived class
-  * \tparam #ReadOnlyAccessors Constant indicating read-only access
-  *
-  * This class defines the \c operator() \c const function and friends, which can be used to read specific
-  * entries of a matrix or array.
-  * 
-  * \sa DenseCoeffsBase<Derived, WriteAccessors>, DenseCoeffsBase<Derived, DirectAccessors>,
-  *     \ref TopicClassHierarchy
-  */
-template<typename Derived>
-class DenseCoeffsBase<Derived,ReadOnlyAccessors> : public EigenBase<Derived>
-{
-  public:
-    typedef typename internal::traits<Derived>::StorageKind StorageKind;
-    typedef typename internal::traits<Derived>::Index Index;
-    typedef typename internal::traits<Derived>::Scalar Scalar;
-    typedef typename internal::packet_traits<Scalar>::type PacketScalar;
-
-    // Explanation for this CoeffReturnType typedef.
-    // - This is the return type of the coeff() method.
-    // - The LvalueBit means exactly that we can offer a coeffRef() method, which means exactly that we can get references
-    // to coeffs, which means exactly that we can have coeff() return a const reference (as opposed to returning a value).
-    // - The is_artihmetic check is required since "const int", "const double", etc. will cause warnings on some systems
-    // while the declaration of "const T", where T is a non arithmetic type does not. Always returning "const Scalar&" is
-    // not possible, since the underlying expressions might not offer a valid address the reference could be referring to.
-    typedef typename internal::conditional<bool(internal::traits<Derived>::Flags&LvalueBit),
-                         const Scalar&,
-                         typename internal::conditional<internal::is_arithmetic<Scalar>::value, Scalar, const Scalar>::type
-                     >::type CoeffReturnType;
-
-    typedef typename internal::add_const_on_value_type_if_arithmetic<
-                         typename internal::packet_traits<Scalar>::type
-                     >::type PacketReturnType;
-
-    typedef EigenBase<Derived> Base;
-    using Base::rows;
-    using Base::cols;
-    using Base::size;
-    using Base::derived;
-
-    EIGEN_STRONG_INLINE Index rowIndexByOuterInner(Index outer, Index inner) const
-    {
-      return int(Derived::RowsAtCompileTime) == 1 ? 0
-          : int(Derived::ColsAtCompileTime) == 1 ? inner
-          : int(Derived::Flags)&RowMajorBit ? outer
-          : inner;
-    }
-
-    EIGEN_STRONG_INLINE Index colIndexByOuterInner(Index outer, Index inner) const
-    {
-      return int(Derived::ColsAtCompileTime) == 1 ? 0
-          : int(Derived::RowsAtCompileTime) == 1 ? inner
-          : int(Derived::Flags)&RowMajorBit ? inner
-          : outer;
-    }
-
-    /** Short version: don't use this function, use
-      * \link operator()(Index,Index) const \endlink instead.
-      *
-      * Long version: this function is similar to
-      * \link operator()(Index,Index) const \endlink, but without the assertion.
-      * Use this for limiting the performance cost of debugging code when doing
-      * repeated coefficient access. Only use this when it is guaranteed that the
-      * parameters \a row and \a col are in range.
-      *
-      * If EIGEN_INTERNAL_DEBUGGING is defined, an assertion will be made, making this
-      * function equivalent to \link operator()(Index,Index) const \endlink.
-      *
-      * \sa operator()(Index,Index) const, coeffRef(Index,Index), coeff(Index) const
-      */
-    EIGEN_STRONG_INLINE CoeffReturnType coeff(Index row, Index col) const
-    {
-      eigen_internal_assert(row >= 0 && row < rows()
-                        && col >= 0 && col < cols());
-      return derived().coeff(row, col);
-    }
-
-    EIGEN_STRONG_INLINE CoeffReturnType coeffByOuterInner(Index outer, Index inner) const
-    {
-      return coeff(rowIndexByOuterInner(outer, inner),
-                   colIndexByOuterInner(outer, inner));
-    }
-
-    /** \returns the coefficient at given the given row and column.
-      *
-      * \sa operator()(Index,Index), operator[](Index)
-      */
-    EIGEN_STRONG_INLINE CoeffReturnType operator()(Index row, Index col) const
-    {
-      eigen_assert(row >= 0 && row < rows()
-          && col >= 0 && col < cols());
-      return derived().coeff(row, col);
-    }
-
-    /** Short version: don't use this function, use
-      * \link operator[](Index) const \endlink instead.
-      *
-      * Long version: this function is similar to
-      * \link operator[](Index) const \endlink, but without the assertion.
-      * Use this for limiting the performance cost of debugging code when doing
-      * repeated coefficient access. Only use this when it is guaranteed that the
-      * parameter \a index is in range.
-      *
-      * If EIGEN_INTERNAL_DEBUGGING is defined, an assertion will be made, making this
-      * function equivalent to \link operator[](Index) const \endlink.
-      *
-      * \sa operator[](Index) const, coeffRef(Index), coeff(Index,Index) const
-      */
-
-    EIGEN_STRONG_INLINE CoeffReturnType
-    coeff(Index index) const
-    {
-      eigen_internal_assert(index >= 0 && index < size());
-      return derived().coeff(index);
-    }
-
-
-    /** \returns the coefficient at given index.
-      *
-      * This method is allowed only for vector expressions, and for matrix expressions having the LinearAccessBit.
-      *
-      * \sa operator[](Index), operator()(Index,Index) const, x() const, y() const,
-      * z() const, w() const
-      */
-
-    EIGEN_STRONG_INLINE CoeffReturnType
-    operator[](Index index) const
-    {
-      #ifndef EIGEN2_SUPPORT
-      EIGEN_STATIC_ASSERT(Derived::IsVectorAtCompileTime,
-                          THE_BRACKET_OPERATOR_IS_ONLY_FOR_VECTORS__USE_THE_PARENTHESIS_OPERATOR_INSTEAD)
-      #endif
-      eigen_assert(index >= 0 && index < size());
-      return derived().coeff(index);
-    }
-
-    /** \returns the coefficient at given index.
-      *
-      * This is synonymous to operator[](Index) const.
-      *
-      * This method is allowed only for vector expressions, and for matrix expressions having the LinearAccessBit.
-      *
-      * \sa operator[](Index), operator()(Index,Index) const, x() const, y() const,
-      * z() const, w() const
-      */
-
-    EIGEN_STRONG_INLINE CoeffReturnType
-    operator()(Index index) const
-    {
-      eigen_assert(index >= 0 && index < size());
-      return derived().coeff(index);
-    }
-
-    /** equivalent to operator[](0).  */
-
-    EIGEN_STRONG_INLINE CoeffReturnType
-    x() const { return (*this)[0]; }
-
-    /** equivalent to operator[](1).  */
-
-    EIGEN_STRONG_INLINE CoeffReturnType
-    y() const { return (*this)[1]; }
-
-    /** equivalent to operator[](2).  */
-
-    EIGEN_STRONG_INLINE CoeffReturnType
-    z() const { return (*this)[2]; }
-
-    /** equivalent to operator[](3).  */
-
-    EIGEN_STRONG_INLINE CoeffReturnType
-    w() const { return (*this)[3]; }
-
-    /** \internal
-      * \returns the packet of coefficients starting at the given row and column. It is your responsibility
-      * to ensure that a packet really starts there. This method is only available on expressions having the
-      * PacketAccessBit.
-      *
-      * The \a LoadMode parameter may have the value \a #Aligned or \a #Unaligned. Its effect is to select
-      * the appropriate vectorization instruction. Aligned access is faster, but is only possible for packets
-      * starting at an address which is a multiple of the packet size.
-      */
-
-    template<int LoadMode>
-    EIGEN_STRONG_INLINE PacketReturnType packet(Index row, Index col) const
-    {
-      eigen_internal_assert(row >= 0 && row < rows()
-                      && col >= 0 && col < cols());
-      return derived().template packet<LoadMode>(row,col);
-    }
-
-
-    /** \internal */
-    template<int LoadMode>
-    EIGEN_STRONG_INLINE PacketReturnType packetByOuterInner(Index outer, Index inner) const
-    {
-      return packet<LoadMode>(rowIndexByOuterInner(outer, inner),
-                              colIndexByOuterInner(outer, inner));
-    }
-
-    /** \internal
-      * \returns the packet of coefficients starting at the given index. It is your responsibility
-      * to ensure that a packet really starts there. This method is only available on expressions having the
-      * PacketAccessBit and the LinearAccessBit.
-      *
-      * The \a LoadMode parameter may have the value \a #Aligned or \a #Unaligned. Its effect is to select
-      * the appropriate vectorization instruction. Aligned access is faster, but is only possible for packets
-      * starting at an address which is a multiple of the packet size.
-      */
-
-    template<int LoadMode>
-    EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
-    {
-      eigen_internal_assert(index >= 0 && index < size());
-      return derived().template packet<LoadMode>(index);
-    }
-
-  protected:
-    // explanation: DenseBase is doing "using ..." on the methods from DenseCoeffsBase.
-    // But some methods are only available in the DirectAccess case.
-    // So we add dummy methods here with these names, so that "using... " doesn't fail.
-    // It's not private so that the child class DenseBase can access them, and it's not public
-    // either since it's an implementation detail, so has to be protected.
-    void coeffRef();
-    void coeffRefByOuterInner();
-    void writePacket();
-    void writePacketByOuterInner();
-    void copyCoeff();
-    void copyCoeffByOuterInner();
-    void copyPacket();
-    void copyPacketByOuterInner();
-    void stride();
-    void innerStride();
-    void outerStride();
-    void rowStride();
-    void colStride();
-};
-
-/** \brief Base class providing read/write coefficient access to matrices and arrays.
-  * \ingroup Core_Module
-  * \tparam Derived Type of the derived class
-  * \tparam #WriteAccessors Constant indicating read/write access
-  *
-  * This class defines the non-const \c operator() function and friends, which can be used to write specific
-  * entries of a matrix or array. This class inherits DenseCoeffsBase<Derived, ReadOnlyAccessors> which
-  * defines the const variant for reading specific entries.
-  * 
-  * \sa DenseCoeffsBase<Derived, DirectAccessors>, \ref TopicClassHierarchy
-  */
-template<typename Derived>
-class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
-{
-  public:
-
-    typedef DenseCoeffsBase<Derived, ReadOnlyAccessors> Base;
-
-    typedef typename internal::traits<Derived>::StorageKind StorageKind;
-    typedef typename internal::traits<Derived>::Index Index;
-    typedef typename internal::traits<Derived>::Scalar Scalar;
-    typedef typename internal::packet_traits<Scalar>::type PacketScalar;
-    typedef typename NumTraits<Scalar>::Real RealScalar;
-
-    using Base::coeff;
-    using Base::rows;
-    using Base::cols;
-    using Base::size;
-    using Base::derived;
-    using Base::rowIndexByOuterInner;
-    using Base::colIndexByOuterInner;
-    using Base::operator[];
-    using Base::operator();
-    using Base::x;
-    using Base::y;
-    using Base::z;
-    using Base::w;
-
-    /** Short version: don't use this function, use
-      * \link operator()(Index,Index) \endlink instead.
-      *
-      * Long version: this function is similar to
-      * \link operator()(Index,Index) \endlink, but without the assertion.
-      * Use this for limiting the performance cost of debugging code when doing
-      * repeated coefficient access. Only use this when it is guaranteed that the
-      * parameters \a row and \a col are in range.
-      *
-      * If EIGEN_INTERNAL_DEBUGGING is defined, an assertion will be made, making this
-      * function equivalent to \link operator()(Index,Index) \endlink.
-      *
-      * \sa operator()(Index,Index), coeff(Index, Index) const, coeffRef(Index)
-      */
-    EIGEN_STRONG_INLINE Scalar& coeffRef(Index row, Index col)
-    {
-      eigen_internal_assert(row >= 0 && row < rows()
-                        && col >= 0 && col < cols());
-      return derived().coeffRef(row, col);
-    }
-
-    EIGEN_STRONG_INLINE Scalar&
-    coeffRefByOuterInner(Index outer, Index inner)
-    {
-      return coeffRef(rowIndexByOuterInner(outer, inner),
-                      colIndexByOuterInner(outer, inner));
-    }
-
-    /** \returns a reference to the coefficient at given the given row and column.
-      *
-      * \sa operator[](Index)
-      */
-
-    EIGEN_STRONG_INLINE Scalar&
-    operator()(Index row, Index col)
-    {
-      eigen_assert(row >= 0 && row < rows()
-          && col >= 0 && col < cols());
-      return derived().coeffRef(row, col);
-    }
-
-
-    /** Short version: don't use this function, use
-      * \link operator[](Index) \endlink instead.
-      *
-      * Long version: this function is similar to
-      * \link operator[](Index) \endlink, but without the assertion.
-      * Use this for limiting the performance cost of debugging code when doing
-      * repeated coefficient access. Only use this when it is guaranteed that the
-      * parameters \a row and \a col are in range.
-      *
-      * If EIGEN_INTERNAL_DEBUGGING is defined, an assertion will be made, making this
-      * function equivalent to \link operator[](Index) \endlink.
-      *
-      * \sa operator[](Index), coeff(Index) const, coeffRef(Index,Index)
-      */
-
-    EIGEN_STRONG_INLINE Scalar&
-    coeffRef(Index index)
-    {
-      eigen_internal_assert(index >= 0 && index < size());
-      return derived().coeffRef(index);
-    }
-
-    /** \returns a reference to the coefficient at given index.
-      *
-      * This method is allowed only for vector expressions, and for matrix expressions having the LinearAccessBit.
-      *
-      * \sa operator[](Index) const, operator()(Index,Index), x(), y(), z(), w()
-      */
-
-    EIGEN_STRONG_INLINE Scalar&
-    operator[](Index index)
-    {
-      #ifndef EIGEN2_SUPPORT
-      EIGEN_STATIC_ASSERT(Derived::IsVectorAtCompileTime,
-                          THE_BRACKET_OPERATOR_IS_ONLY_FOR_VECTORS__USE_THE_PARENTHESIS_OPERATOR_INSTEAD)
-      #endif
-      eigen_assert(index >= 0 && index < size());
-      return derived().coeffRef(index);
-    }
-
-    /** \returns a reference to the coefficient at given index.
-      *
-      * This is synonymous to operator[](Index).
-      *
-      * This method is allowed only for vector expressions, and for matrix expressions having the LinearAccessBit.
-      *
-      * \sa operator[](Index) const, operator()(Index,Index), x(), y(), z(), w()
-      */
-
-    EIGEN_STRONG_INLINE Scalar&
-    operator()(Index index)
-    {
-      eigen_assert(index >= 0 && index < size());
-      return derived().coeffRef(index);
-    }
-
-    /** equivalent to operator[](0).  */
-
-    EIGEN_STRONG_INLINE Scalar&
-    x() { return (*this)[0]; }
-
-    /** equivalent to operator[](1).  */
-
-    EIGEN_STRONG_INLINE Scalar&
-    y() { return (*this)[1]; }
-
-    /** equivalent to operator[](2).  */
-
-    EIGEN_STRONG_INLINE Scalar&
-    z() { return (*this)[2]; }
-
-    /** equivalent to operator[](3).  */
-
-    EIGEN_STRONG_INLINE Scalar&
-    w() { return (*this)[3]; }
-
-    /** \internal
-      * Stores the given packet of coefficients, at the given row and column of this expression. It is your responsibility
-      * to ensure that a packet really starts there. This method is only available on expressions having the
-      * PacketAccessBit.
-      *
-      * The \a LoadMode parameter may have the value \a #Aligned or \a #Unaligned. Its effect is to select
-      * the appropriate vectorization instruction. Aligned access is faster, but is only possible for packets
-      * starting at an address which is a multiple of the packet size.
-      */
-
-    template<int StoreMode>
-    EIGEN_STRONG_INLINE void writePacket
-    (Index row, Index col, const typename internal::packet_traits<Scalar>::type& x)
-    {
-      eigen_internal_assert(row >= 0 && row < rows()
-                        && col >= 0 && col < cols());
-      derived().template writePacket<StoreMode>(row,col,x);
-    }
-
-
-    /** \internal */
-    template<int StoreMode>
-    EIGEN_STRONG_INLINE void writePacketByOuterInner
-    (Index outer, Index inner, const typename internal::packet_traits<Scalar>::type& x)
-    {
-      writePacket<StoreMode>(rowIndexByOuterInner(outer, inner),
-                            colIndexByOuterInner(outer, inner),
-                            x);
-    }
-
-    /** \internal
-      * Stores the given packet of coefficients, at the given index in this expression. It is your responsibility
-      * to ensure that a packet really starts there. This method is only available on expressions having the
-      * PacketAccessBit and the LinearAccessBit.
-      *
-      * The \a LoadMode parameter may have the value \a Aligned or \a Unaligned. Its effect is to select
-      * the appropriate vectorization instruction. Aligned access is faster, but is only possible for packets
-      * starting at an address which is a multiple of the packet size.
-      */
-    template<int StoreMode>
-    EIGEN_STRONG_INLINE void writePacket
-    (Index index, const typename internal::packet_traits<Scalar>::type& x)
-    {
-      eigen_internal_assert(index >= 0 && index < size());
-      derived().template writePacket<StoreMode>(index,x);
-    }
-
-#ifndef EIGEN_PARSED_BY_DOXYGEN
-
-    /** \internal Copies the coefficient at position (row,col) of other into *this.
-      *
-      * This method is overridden in SwapWrapper, allowing swap() assignments to share 99% of their code
-      * with usual assignments.
-      *
-      * Outside of this internal usage, this method has probably no usefulness. It is hidden in the public API dox.
-      */
-
-    template<typename OtherDerived>
-    EIGEN_STRONG_INLINE void copyCoeff(Index row, Index col, const DenseBase<OtherDerived>& other)
-    {
-      eigen_internal_assert(row >= 0 && row < rows()
-                        && col >= 0 && col < cols());
-      derived().coeffRef(row, col) = other.derived().coeff(row, col);
-    }
-
-    /** \internal Copies the coefficient at the given index of other into *this.
-      *
-      * This method is overridden in SwapWrapper, allowing swap() assignments to share 99% of their code
-      * with usual assignments.
-      *
-      * Outside of this internal usage, this method has probably no usefulness. It is hidden in the public API dox.
-      */
-
-    template<typename OtherDerived>
-    EIGEN_STRONG_INLINE void copyCoeff(Index index, const DenseBase<OtherDerived>& other)
-    {
-      eigen_internal_assert(index >= 0 && index < size());
-      derived().coeffRef(index) = other.derived().coeff(index);
-    }
-
-
-    template<typename OtherDerived>
-    EIGEN_STRONG_INLINE void copyCoeffByOuterInner(Index outer, Index inner, const DenseBase<OtherDerived>& other)
-    {
-      const Index row = rowIndexByOuterInner(outer,inner);
-      const Index col = colIndexByOuterInner(outer,inner);
-      // derived() is important here: copyCoeff() may be reimplemented in Derived!
-      derived().copyCoeff(row, col, other);
-    }
-
-    /** \internal Copies the packet at position (row,col) of other into *this.
-      *
-      * This method is overridden in SwapWrapper, allowing swap() assignments to share 99% of their code
-      * with usual assignments.
-      *
-      * Outside of this internal usage, this method has probably no usefulness. It is hidden in the public API dox.
-      */
-
-    template<typename OtherDerived, int StoreMode, int LoadMode>
-    EIGEN_STRONG_INLINE void copyPacket(Index row, Index col, const DenseBase<OtherDerived>& other)
-    {
-      eigen_internal_assert(row >= 0 && row < rows()
-                        && col >= 0 && col < cols());
-      derived().template writePacket<StoreMode>(row, col,
-        other.derived().template packet<LoadMode>(row, col));
-    }
-
-    /** \internal Copies the packet at the given index of other into *this.
-      *
-      * This method is overridden in SwapWrapper, allowing swap() assignments to share 99% of their code
-      * with usual assignments.
-      *
-      * Outside of this internal usage, this method has probably no usefulness. It is hidden in the public API dox.
-      */
-
-    template<typename OtherDerived, int StoreMode, int LoadMode>
-    EIGEN_STRONG_INLINE void copyPacket(Index index, const DenseBase<OtherDerived>& other)
-    {
-      eigen_internal_assert(index >= 0 && index < size());
-      derived().template writePacket<StoreMode>(index,
-        other.derived().template packet<LoadMode>(index));
-    }
-
-    /** \internal */
-    template<typename OtherDerived, int StoreMode, int LoadMode>
-    EIGEN_STRONG_INLINE void copyPacketByOuterInner(Index outer, Index inner, const DenseBase<OtherDerived>& other)
-    {
-      const Index row = rowIndexByOuterInner(outer,inner);
-      const Index col = colIndexByOuterInner(outer,inner);
-      // derived() is important here: copyCoeff() may be reimplemented in Derived!
-      derived().template copyPacket< OtherDerived, StoreMode, LoadMode>(row, col, other);
-    }
-#endif
-
-};
-
-/** \brief Base class providing direct read-only coefficient access to matrices and arrays.
-  * \ingroup Core_Module
-  * \tparam Derived Type of the derived class
-  * \tparam #DirectAccessors Constant indicating direct access
-  *
-  * This class defines functions to work with strides which can be used to access entries directly. This class
-  * inherits DenseCoeffsBase<Derived, ReadOnlyAccessors> which defines functions to access entries read-only using
-  * \c operator() .
-  *
-  * \sa \ref TopicClassHierarchy
-  */
-template<typename Derived>
-class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
-{
-  public:
-
-    typedef DenseCoeffsBase<Derived, ReadOnlyAccessors> Base;
-    typedef typename internal::traits<Derived>::Index Index;
-    typedef typename internal::traits<Derived>::Scalar Scalar;
-    typedef typename NumTraits<Scalar>::Real RealScalar;
-
-    using Base::rows;
-    using Base::cols;
-    using Base::size;
-    using Base::derived;
-
-    /** \returns the pointer increment between two consecutive elements within a slice in the inner direction.
-      *
-      * \sa outerStride(), rowStride(), colStride()
-      */
-    inline Index innerStride() const
-    {
-      return derived().innerStride();
-    }
-
-    /** \returns the pointer increment between two consecutive inner slices (for example, between two consecutive columns
-      *          in a column-major matrix).
-      *
-      * \sa innerStride(), rowStride(), colStride()
-      */
-    inline Index outerStride() const
-    {
-      return derived().outerStride();
-    }
-
-    // FIXME shall we remove it ?
-    inline Index stride() const
-    {
-      return Derived::IsVectorAtCompileTime ? innerStride() : outerStride();
-    }
-
-    /** \returns the pointer increment between two consecutive rows.
-      *
-      * \sa innerStride(), outerStride(), colStride()
-      */
-    inline Index rowStride() const
-    {
-      return Derived::IsRowMajor ? outerStride() : innerStride();
-    }
-
-    /** \returns the pointer increment between two consecutive columns.
-      *
-      * \sa innerStride(), outerStride(), rowStride()
-      */
-    inline Index colStride() const
-    {
-      return Derived::IsRowMajor ? innerStride() : outerStride();
-    }
-};
-
-/** \brief Base class providing direct read/write coefficient access to matrices and arrays.
-  * \ingroup Core_Module
-  * \tparam Derived Type of the derived class
-  * \tparam #DirectWriteAccessors Constant indicating direct access
-  *
-  * This class defines functions to work with strides which can be used to access entries directly. This class
-  * inherits DenseCoeffsBase<Derived, WriteAccessors> which defines functions to access entries read/write using
-  * \c operator().
-  *
-  * \sa \ref TopicClassHierarchy
-  */
-template<typename Derived>
-class DenseCoeffsBase<Derived, DirectWriteAccessors>
-  : public DenseCoeffsBase<Derived, WriteAccessors>
-{
-  public:
-
-    typedef DenseCoeffsBase<Derived, WriteAccessors> Base;
-    typedef typename internal::traits<Derived>::Index Index;
-    typedef typename internal::traits<Derived>::Scalar Scalar;
-    typedef typename NumTraits<Scalar>::Real RealScalar;
-
-    using Base::rows;
-    using Base::cols;
-    using Base::size;
-    using Base::derived;
-
-    /** \returns the pointer increment between two consecutive elements within a slice in the inner direction.
-      *
-      * \sa outerStride(), rowStride(), colStride()
-      */
-    inline Index innerStride() const
-    {
-      return derived().innerStride();
-    }
-
-    /** \returns the pointer increment between two consecutive inner slices (for example, between two consecutive columns
-      *          in a column-major matrix).
-      *
-      * \sa innerStride(), rowStride(), colStride()
-      */
-    inline Index outerStride() const
-    {
-      return derived().outerStride();
-    }
-
-    // FIXME shall we remove it ?
-    inline Index stride() const
-    {
-      return Derived::IsVectorAtCompileTime ? innerStride() : outerStride();
-    }
-
-    /** \returns the pointer increment between two consecutive rows.
-      *
-      * \sa innerStride(), outerStride(), colStride()
-      */
-    inline Index rowStride() const
-    {
-      return Derived::IsRowMajor ? outerStride() : innerStride();
-    }
-
-    /** \returns the pointer increment between two consecutive columns.
-      *
-      * \sa innerStride(), outerStride(), rowStride()
-      */
-    inline Index colStride() const
-    {
-      return Derived::IsRowMajor ? innerStride() : outerStride();
-    }
-};
-
-namespace internal {
-
-template<typename Derived, bool JustReturnZero>
-struct first_aligned_impl
-{
-  static inline typename Derived::Index run(const Derived&)
-  { return 0; }
-};
-
-template<typename Derived>
-struct first_aligned_impl<Derived, false>
-{
-  static inline typename Derived::Index run(const Derived& m)
-  {
-    return internal::first_aligned(&m.const_cast_derived().coeffRef(0,0), m.size());
-  }
-};
-
-/** \internal \returns the index of the first element of the array that is well aligned for vectorization.
-  *
-  * There is also the variant first_aligned(const Scalar*, Integer) defined in Memory.h. See it for more
-  * documentation.
-  */
-template<typename Derived>
-static inline typename Derived::Index first_aligned(const Derived& m)
-{
-  return first_aligned_impl
-          <Derived, (Derived::Flags & AlignedBit) || !(Derived::Flags & DirectAccessBit)>
-          ::run(m);
-}
-
-template<typename Derived, bool HasDirectAccess = has_direct_access<Derived>::ret>
-struct inner_stride_at_compile_time
-{
-  enum { ret = traits<Derived>::InnerStrideAtCompileTime };
-};
-
-template<typename Derived>
-struct inner_stride_at_compile_time<Derived, false>
-{
-  enum { ret = 0 };
-};
-
-template<typename Derived, bool HasDirectAccess = has_direct_access<Derived>::ret>
-struct outer_stride_at_compile_time
-{
-  enum { ret = traits<Derived>::OuterStrideAtCompileTime };
-};
-
-template<typename Derived>
-struct outer_stride_at_compile_time<Derived, false>
-{
-  enum { ret = 0 };
-};
-
-} // end namespace internal
-
-} // end namespace Eigen
-
-#endif // EIGEN_DENSECOEFFSBASE_H
--- a/Eigen/src/Core/DenseStorage.h
+++ b/Eigen/src/Core/DenseStorage.h
@@ -1,318 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
-// Copyright (C) 2006-2009 Benoit Jacob <jacob.benoit.1@gmail.com>
-// Copyright (C) 2010 Hauke Heibel <hauke.heibel@gmail.com>
-//
-// Eigen is free software; you can redistribute it and/or
-// modify it under the terms of the GNU Lesser General Public
-// License as published by the Free Software Foundation; either
-// version 3 of the License, or (at your option) any later version.
-//
-// Alternatively, you can redistribute it and/or
-// modify it under the terms of the GNU General Public License as
-// published by the Free Software Foundation; either version 2 of
-// the License, or (at your option) any later version.
-//
-// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
-// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
-// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU Lesser General Public
-// License and a copy of the GNU General Public License along with
-// Eigen. If not, see <http://www.gnu.org/licenses/>.
-
-#ifndef EIGEN_MATRIXSTORAGE_H
-#define EIGEN_MATRIXSTORAGE_H
-
-#ifdef EIGEN_DENSE_STORAGE_CTOR_PLUGIN
-  #define EIGEN_INTERNAL_DENSE_STORAGE_CTOR_PLUGIN EIGEN_DENSE_STORAGE_CTOR_PLUGIN;
-#else
-  #define EIGEN_INTERNAL_DENSE_STORAGE_CTOR_PLUGIN
-#endif
-
-namespace Eigen {
-
-namespace internal {
-
-struct constructor_without_unaligned_array_assert {};
-
-/** \internal
-  * Static array. If the MatrixOrArrayOptions require auto-alignment, the array will be automatically aligned:
-  * to 16 bytes boundary if the total size is a multiple of 16 bytes.
-  */
-template <typename T, int Size, int MatrixOrArrayOptions,
-          int Alignment = (MatrixOrArrayOptions&DontAlign) ? 0
-                        : (((Size*sizeof(T))%16)==0) ? 16
-                        : 0 >
-struct plain_array
-{
-  T array[Size];
-  plain_array() {}
-  plain_array(constructor_without_unaligned_array_assert) {}
-};
-
-#ifdef EIGEN_DISABLE_UNALIGNED_ARRAY_ASSERT
-  #define EIGEN_MAKE_UNALIGNED_ARRAY_ASSERT(sizemask)
-#else
-  #define EIGEN_MAKE_UNALIGNED_ARRAY_ASSERT(sizemask) \
-    eigen_assert((reinterpret_cast<size_t>(array) & sizemask) == 0 \
-              && "this assertion is explained here: " \
-              "http://eigen.tuxfamily.org/dox-devel/TopicUnalignedArrayAssert.html" \
-              " **** READ THIS WEB PAGE !!! ****");
-#endif
-
-template <typename T, int Size, int MatrixOrArrayOptions>
-struct plain_array<T, Size, MatrixOrArrayOptions, 16>
-{
-  EIGEN_USER_ALIGN16 T array[Size];
-  plain_array() { EIGEN_MAKE_UNALIGNED_ARRAY_ASSERT(0xf) }
-  plain_array(constructor_without_unaligned_array_assert) {}
-};
-
-template <typename T, int MatrixOrArrayOptions, int Alignment>
-struct plain_array<T, 0, MatrixOrArrayOptions, Alignment>
-{
-  EIGEN_USER_ALIGN16 T array[1];
-  plain_array() {}
-  plain_array(constructor_without_unaligned_array_assert) {}
-};
-
-} // end namespace internal
-
-/** \internal
-  *
-  * \class DenseStorage
-  * \ingroup Core_Module
-  *
-  * \brief Stores the data of a matrix
-  *
-  * This class stores the data of fixed-size, dynamic-size or mixed matrices
-  * in a way as compact as possible.
-  *
-  * \sa Matrix
-  */
-template<typename T, int Size, int _Rows, int _Cols, int _Options> class DenseStorage;
-
-// purely fixed-size matrix
-template<typename T, int Size, int _Rows, int _Cols, int _Options> class DenseStorage
-{
-    internal::plain_array<T,Size,_Options> m_data;
-  public:
-    inline explicit DenseStorage() {}
-    inline DenseStorage(internal::constructor_without_unaligned_array_assert)
-      : m_data(internal::constructor_without_unaligned_array_assert()) {}
-    inline DenseStorage(DenseIndex,DenseIndex,DenseIndex) {}
-    inline void swap(DenseStorage& other) { std::swap(m_data,other.m_data); }
-    static inline DenseIndex rows(void) {return _Rows;}
-    static inline DenseIndex cols(void) {return _Cols;}
-    inline void conservativeResize(DenseIndex,DenseIndex,DenseIndex) {}
-    inline void resize(DenseIndex,DenseIndex,DenseIndex) {}
-    inline const T *data() const { return m_data.array; }
-    inline T *data() { return m_data.array; }
-};
-
-// null matrix
-template<typename T, int _Rows, int _Cols, int _Options> class DenseStorage<T, 0, _Rows, _Cols, _Options>
-{
-  public:
-    inline explicit DenseStorage() {}
-    inline DenseStorage(internal::constructor_without_unaligned_array_assert) {}
-    inline DenseStorage(DenseIndex,DenseIndex,DenseIndex) {}
-    inline void swap(DenseStorage& ) {}
-    static inline DenseIndex rows(void) {return _Rows;}
-    static inline DenseIndex cols(void) {return _Cols;}
-    inline void conservativeResize(DenseIndex,DenseIndex,DenseIndex) {}
-    inline void resize(DenseIndex,DenseIndex,DenseIndex) {}
-    inline const T *data() const { return 0; }
-    inline T *data() { return 0; }
-};
-
-// more specializations for null matrices; these are necessary to resolve ambiguities
-template<typename T, int _Options> class DenseStorage<T, 0, Dynamic, Dynamic, _Options>
-: public DenseStorage<T, 0, 0, 0, _Options> { };
-
-template<typename T, int _Rows, int _Options> class DenseStorage<T, 0, _Rows, Dynamic, _Options>
-: public DenseStorage<T, 0, 0, 0, _Options> { };
-
-template<typename T, int _Cols, int _Options> class DenseStorage<T, 0, Dynamic, _Cols, _Options>
-: public DenseStorage<T, 0, 0, 0, _Options> { };
-
-// dynamic-size matrix with fixed-size storage
-template<typename T, int Size, int _Options> class DenseStorage<T, Size, Dynamic, Dynamic, _Options>
-{
-    internal::plain_array<T,Size,_Options> m_data;
-    DenseIndex m_rows;
-    DenseIndex m_cols;
-  public:
-    inline explicit DenseStorage() : m_rows(0), m_cols(0) {}
-    inline DenseStorage(internal::constructor_without_unaligned_array_assert)
-      : m_data(internal::constructor_without_unaligned_array_assert()), m_rows(0), m_cols(0) {}
-    inline DenseStorage(DenseIndex, DenseIndex rows, DenseIndex cols) : m_rows(rows), m_cols(cols) {}
-    inline void swap(DenseStorage& other)
-    { std::swap(m_data,other.m_data); std::swap(m_rows,other.m_rows); std::swap(m_cols,other.m_cols); }
-    inline DenseIndex rows(void) const {return m_rows;}
-    inline DenseIndex cols(void) const {return m_cols;}
-    inline void conservativeResize(DenseIndex, DenseIndex rows, DenseIndex cols) { m_rows = rows; m_cols = cols; }
-    inline void resize(DenseIndex, DenseIndex rows, DenseIndex cols) { m_rows = rows; m_cols = cols; }
-    inline const T *data() const { return m_data.array; }
-    inline T *data() { return m_data.array; }
-};
-
-// dynamic-size matrix with fixed-size storage and fixed width
-template<typename T, int Size, int _Cols, int _Options> class DenseStorage<T, Size, Dynamic, _Cols, _Options>
-{
-    internal::plain_array<T,Size,_Options> m_data;
-    DenseIndex m_rows;
-  public:
-    inline explicit DenseStorage() : m_rows(0) {}
-    inline DenseStorage(internal::constructor_without_unaligned_array_assert)
-      : m_data(internal::constructor_without_unaligned_array_assert()), m_rows(0) {}
-    inline DenseStorage(DenseIndex, DenseIndex rows, DenseIndex) : m_rows(rows) {}
-    inline void swap(DenseStorage& other) { std::swap(m_data,other.m_data); std::swap(m_rows,other.m_rows); }
-    inline DenseIndex rows(void) const {return m_rows;}
-    inline DenseIndex cols(void) const {return _Cols;}
-    inline void conservativeResize(DenseIndex, DenseIndex rows, DenseIndex) { m_rows = rows; }
-    inline void resize(DenseIndex, DenseIndex rows, DenseIndex) { m_rows = rows; }
-    inline const T *data() const { return m_data.array; }
-    inline T *data() { return m_data.array; }
-};
-
-// dynamic-size matrix with fixed-size storage and fixed height
-template<typename T, int Size, int _Rows, int _Options> class DenseStorage<T, Size, _Rows, Dynamic, _Options>
-{
-    internal::plain_array<T,Size,_Options> m_data;
-    DenseIndex m_cols;
-  public:
-    inline explicit DenseStorage() : m_cols(0) {}
-    inline DenseStorage(internal::constructor_without_unaligned_array_assert)
-      : m_data(internal::constructor_without_unaligned_array_assert()), m_cols(0) {}
-    inline DenseStorage(DenseIndex, DenseIndex, DenseIndex cols) : m_cols(cols) {}
-    inline void swap(DenseStorage& other) { std::swap(m_data,other.m_data); std::swap(m_cols,other.m_cols); }
-    inline DenseIndex rows(void) const {return _Rows;}
-    inline DenseIndex cols(void) const {return m_cols;}
-    inline void conservativeResize(DenseIndex, DenseIndex, DenseIndex cols) { m_cols = cols; }
-    inline void resize(DenseIndex, DenseIndex, DenseIndex cols) { m_cols = cols; }
-    inline const T *data() const { return m_data.array; }
-    inline T *data() { return m_data.array; }
-};
-
-// purely dynamic matrix.
-template<typename T, int _Options> class DenseStorage<T, Dynamic, Dynamic, Dynamic, _Options>
-{
-    T *m_data;
-    DenseIndex m_rows;
-    DenseIndex m_cols;
-  public:
-    inline explicit DenseStorage() : m_data(0), m_rows(0), m_cols(0) {}
-    inline DenseStorage(internal::constructor_without_unaligned_array_assert)
-       : m_data(0), m_rows(0), m_cols(0) {}
-    inline DenseStorage(DenseIndex size, DenseIndex rows, DenseIndex cols)
-      : m_data(internal::conditional_aligned_new_auto<T,(_Options&DontAlign)==0>(size)), m_rows(rows), m_cols(cols) 
-    { EIGEN_INTERNAL_DENSE_STORAGE_CTOR_PLUGIN }
-    inline ~DenseStorage() { internal::conditional_aligned_delete_auto<T,(_Options&DontAlign)==0>(m_data, m_rows*m_cols); }
-    inline void swap(DenseStorage& other)
-    { std::swap(m_data,other.m_data); std::swap(m_rows,other.m_rows); std::swap(m_cols,other.m_cols); }
-    inline DenseIndex rows(void) const {return m_rows;}
-    inline DenseIndex cols(void) const {return m_cols;}
-    inline void conservativeResize(DenseIndex size, DenseIndex rows, DenseIndex cols)
-    {
-      m_data = internal::conditional_aligned_realloc_new_auto<T,(_Options&DontAlign)==0>(m_data, size, m_rows*m_cols);
-      m_rows = rows;
-      m_cols = cols;
-    }
-    void resize(DenseIndex size, DenseIndex rows, DenseIndex cols)
-    {
-      if(size != m_rows*m_cols)
-      {
-        internal::conditional_aligned_delete_auto<T,(_Options&DontAlign)==0>(m_data, m_rows*m_cols);
-        if (size)
-          m_data = internal::conditional_aligned_new_auto<T,(_Options&DontAlign)==0>(size);
-        else
-          m_data = 0;
-        EIGEN_INTERNAL_DENSE_STORAGE_CTOR_PLUGIN
-      }
-      m_rows = rows;
-      m_cols = cols;
-    }
-    inline const T *data() const { return m_data; }
-    inline T *data() { return m_data; }
-};
-
-// matrix with dynamic width and fixed height (so that matrix has dynamic size).
-template<typename T, int _Rows, int _Options> class DenseStorage<T, Dynamic, _Rows, Dynamic, _Options>
-{
-    T *m_data;
-    DenseIndex m_cols;
-  public:
-    inline explicit DenseStorage() : m_data(0), m_cols(0) {}
-    inline DenseStorage(internal::constructor_without_unaligned_array_assert) : m_data(0), m_cols(0) {}
-    inline DenseStorage(DenseIndex size, DenseIndex, DenseIndex cols) : m_data(internal::conditional_aligned_new_auto<T,(_Options&DontAlign)==0>(size)), m_cols(cols)
-    { EIGEN_INTERNAL_DENSE_STORAGE_CTOR_PLUGIN }
-    inline ~DenseStorage() { internal::conditional_aligned_delete_auto<T,(_Options&DontAlign)==0>(m_data, _Rows*m_cols); }
-    inline void swap(DenseStorage& other) { std::swap(m_data,other.m_data); std::swap(m_cols,other.m_cols); }
-    static inline DenseIndex rows(void) {return _Rows;}
-    inline DenseIndex cols(void) const {return m_cols;}
-    inline void conservativeResize(DenseIndex size, DenseIndex, DenseIndex cols)
-    {
-      m_data = internal::conditional_aligned_realloc_new_auto<T,(_Options&DontAlign)==0>(m_data, size, _Rows*m_cols);
-      m_cols = cols;
-    }
-    EIGEN_STRONG_INLINE void resize(DenseIndex size, DenseIndex, DenseIndex cols)
-    {
-      if(size != _Rows*m_cols)
-      {
-        internal::conditional_aligned_delete_auto<T,(_Options&DontAlign)==0>(m_data, _Rows*m_cols);
-        if (size)
-          m_data = internal::conditional_aligned_new_auto<T,(_Options&DontAlign)==0>(size);
-        else
-          m_data = 0;
-        EIGEN_INTERNAL_DENSE_STORAGE_CTOR_PLUGIN
-      }
-      m_cols = cols;
-    }
-    inline const T *data() const { return m_data; }
-    inline T *data() { return m_data; }
-};
-
-// matrix with dynamic height and fixed width (so that matrix has dynamic size).
-template<typename T, int _Cols, int _Options> class DenseStorage<T, Dynamic, Dynamic, _Cols, _Options>
-{
-    T *m_data;
-    DenseIndex m_rows;
-  public:
-    inline explicit DenseStorage() : m_data(0), m_rows(0) {}
-    inline DenseStorage(internal::constructor_without_unaligned_array_assert) : m_data(0), m_rows(0) {}
-    inline DenseStorage(DenseIndex size, DenseIndex rows, DenseIndex) : m_data(internal::conditional_aligned_new_auto<T,(_Options&DontAlign)==0>(size)), m_rows(rows)
-    { EIGEN_INTERNAL_DENSE_STORAGE_CTOR_PLUGIN }
-    inline ~DenseStorage() { internal::conditional_aligned_delete_auto<T,(_Options&DontAlign)==0>(m_data, _Cols*m_rows); }
-    inline void swap(DenseStorage& other) { std::swap(m_data,other.m_data); std::swap(m_rows,other.m_rows); }
-    inline DenseIndex rows(void) const {return m_rows;}
-    static inline DenseIndex cols(void) {return _Cols;}
-    inline void conservativeResize(DenseIndex size, DenseIndex rows, DenseIndex)
-    {
-      m_data = internal::conditional_aligned_realloc_new_auto<T,(_Options&DontAlign)==0>(m_data, size, m_rows*_Cols);
-      m_rows = rows;
-    }
-    EIGEN_STRONG_INLINE void resize(DenseIndex size, DenseIndex rows, DenseIndex)
-    {
-      if(size != m_rows*_Cols)
-      {
-        internal::conditional_aligned_delete_auto<T,(_Options&DontAlign)==0>(m_data, _Cols*m_rows);
-        if (size)
-          m_data = internal::conditional_aligned_new_auto<T,(_Options&DontAlign)==0>(size);
-        else
-          m_data = 0;
-        EIGEN_INTERNAL_DENSE_STORAGE_CTOR_PLUGIN
-      }
-      m_rows = rows;
-    }
-    inline const T *data() const { return m_data; }
-    inline T *data() { return m_data; }
-};
-
-} // end namespace Eigen
-
-#endif // EIGEN_MATRIX_H
--- a/Eigen/src/Core/Diagonal.h
+++ b/Eigen/src/Core/Diagonal.h
@@ -1,252 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2007-2009 Benoit Jacob <jacob.benoit.1@gmail.com>
-// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
-//
-// Eigen is free software; you can redistribute it and/or
-// modify it under the terms of the GNU Lesser General Public
-// License as published by the Free Software Foundation; either
-// version 3 of the License, or (at your option) any later version.
-//
-// Alternatively, you can redistribute it and/or
-// modify it under the terms of the GNU General Public License as
-// published by the Free Software Foundation; either version 2 of
-// the License, or (at your option) any later version.
-//
-// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
-// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
-// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU Lesser General Public
-// License and a copy of the GNU General Public License along with
-// Eigen. If not, see <http://www.gnu.org/licenses/>.
-
-#ifndef EIGEN_DIAGONAL_H
-#define EIGEN_DIAGONAL_H
-
-namespace Eigen { 
-
-/** \class Diagonal
-  * \ingroup Core_Module
-  *
-  * \brief Expression of a diagonal/subdiagonal/superdiagonal in a matrix
-  *
-  * \param MatrixType the type of the object in which we are taking a sub/main/super diagonal
-  * \param DiagIndex the index of the sub/super diagonal. The default is 0 and it means the main diagonal.
-  *              A positive value means a superdiagonal, a negative value means a subdiagonal.
-  *              You can also use Dynamic so the index can be set at runtime.
-  *
-  * The matrix is not required to be square.
-  *
-  * This class represents an expression of the main diagonal, or any sub/super diagonal
-  * of a square matrix. It is the return type of MatrixBase::diagonal() and MatrixBase::diagonal(Index) and most of the
-  * time this is the only way it is used.
-  *
-  * \sa MatrixBase::diagonal(), MatrixBase::diagonal(Index)
-  */
-
-namespace internal {
-template<typename MatrixType, int DiagIndex>
-struct traits<Diagonal<MatrixType,DiagIndex> >
- : traits<MatrixType>
-{
-  typedef typename nested<MatrixType>::type MatrixTypeNested;
-  typedef typename remove_reference<MatrixTypeNested>::type _MatrixTypeNested;
-  typedef typename MatrixType::StorageKind StorageKind;
-  enum {
-    AbsDiagIndex = DiagIndex<0 ? -DiagIndex : DiagIndex, // only used if DiagIndex != Dynamic
-    // FIXME these computations are broken in the case where the matrix is rectangular and DiagIndex!=0
-    RowsAtCompileTime = (int(DiagIndex) == Dynamic || int(MatrixType::SizeAtCompileTime) == Dynamic) ? Dynamic
-                      : (EIGEN_SIZE_MIN_PREFER_DYNAMIC(MatrixType::RowsAtCompileTime,
-                                        MatrixType::ColsAtCompileTime) - AbsDiagIndex),
-    ColsAtCompileTime = 1,
-    MaxRowsAtCompileTime = int(MatrixType::MaxSizeAtCompileTime) == Dynamic ? Dynamic
-                         : DiagIndex == Dynamic ? EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::MaxRowsAtCompileTime,
-                                                                    MatrixType::MaxColsAtCompileTime)
-                         : (EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::MaxRowsAtCompileTime, MatrixType::MaxColsAtCompileTime) - AbsDiagIndex),
-    MaxColsAtCompileTime = 1,
-    MaskLvalueBit = is_lvalue<MatrixType>::value ? LvalueBit : 0,
-    Flags = (unsigned int)_MatrixTypeNested::Flags & (HereditaryBits | LinearAccessBit | MaskLvalueBit | DirectAccessBit) & ~RowMajorBit,
-    CoeffReadCost = _MatrixTypeNested::CoeffReadCost,
-    MatrixTypeOuterStride = outer_stride_at_compile_time<MatrixType>::ret,
-    InnerStrideAtCompileTime = MatrixTypeOuterStride == Dynamic ? Dynamic : MatrixTypeOuterStride+1,
-    OuterStrideAtCompileTime = 0
-  };
-};
-}
-
-template<typename MatrixType, int DiagIndex> class Diagonal
-   : public internal::dense_xpr_base< Diagonal<MatrixType,DiagIndex> >::type
-{
-  public:
-
-    typedef typename internal::dense_xpr_base<Diagonal>::type Base;
-    EIGEN_DENSE_PUBLIC_INTERFACE(Diagonal)
-
-    inline Diagonal(MatrixType& matrix, Index index = DiagIndex) : m_matrix(matrix), m_index(index) {}
-
-    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(Diagonal)
-
-    inline Index rows() const
-    { return m_index.value()<0 ? (std::min)(m_matrix.cols(),m_matrix.rows()+m_index.value()) : (std::min)(m_matrix.rows(),m_matrix.cols()-m_index.value()); }
-
-    inline Index cols() const { return 1; }
-
-    inline Index innerStride() const
-    {
-      return m_matrix.outerStride() + 1;
-    }
-
-    inline Index outerStride() const
-    {
-      return 0;
-    }
-
-    typedef typename internal::conditional<
-                       internal::is_lvalue<MatrixType>::value,
-                       Scalar,
-                       const Scalar
-                     >::type ScalarWithConstIfNotLvalue;
-
-    inline ScalarWithConstIfNotLvalue* data() { return &(m_matrix.const_cast_derived().coeffRef(rowOffset(), colOffset())); }
-    inline const Scalar* data() const { return &(m_matrix.const_cast_derived().coeffRef(rowOffset(), colOffset())); }
-
-    inline Scalar& coeffRef(Index row, Index)
-    {
-      EIGEN_STATIC_ASSERT_LVALUE(MatrixType)
-      return m_matrix.const_cast_derived().coeffRef(row+rowOffset(), row+colOffset());
-    }
-
-    inline const Scalar& coeffRef(Index row, Index) const
-    {
-      return m_matrix.const_cast_derived().coeffRef(row+rowOffset(), row+colOffset());
-    }
-
-    inline CoeffReturnType coeff(Index row, Index) const
-    {
-      return m_matrix.coeff(row+rowOffset(), row+colOffset());
-    }
-
-    inline Scalar& coeffRef(Index index)
-    {
-      EIGEN_STATIC_ASSERT_LVALUE(MatrixType)
-      return m_matrix.const_cast_derived().coeffRef(index+rowOffset(), index+colOffset());
-    }
-
-    inline const Scalar& coeffRef(Index index) const
-    {
-      return m_matrix.const_cast_derived().coeffRef(index+rowOffset(), index+colOffset());
-    }
-
-    inline CoeffReturnType coeff(Index index) const
-    {
-      return m_matrix.coeff(index+rowOffset(), index+colOffset());
-    }
-
-    const typename internal::remove_all<typename MatrixType::Nested>::type& 
-    nestedExpression() const 
-    {
-      return m_matrix;
-    }
-
-    int index() const
-    {
-      return m_index.value();
-    }
-
-  protected:
-    typename MatrixType::Nested m_matrix;
-    const internal::variable_if_dynamic<Index, DiagIndex> m_index;
-
-  private:
-    // some compilers may fail to optimize std::max etc in case of compile-time constants...
-    EIGEN_STRONG_INLINE Index absDiagIndex() const { return m_index.value()>0 ? m_index.value() : -m_index.value(); }
-    EIGEN_STRONG_INLINE Index rowOffset() const { return m_index.value()>0 ? 0 : -m_index.value(); }
-    EIGEN_STRONG_INLINE Index colOffset() const { return m_index.value()>0 ? m_index.value() : 0; }
-    // triger a compile time error is someone try to call packet
-    template<int LoadMode> typename MatrixType::PacketReturnType packet(Index) const;
-    template<int LoadMode> typename MatrixType::PacketReturnType packet(Index,Index) const;
-};
-
-/** \returns an expression of the main diagonal of the matrix \c *this
-  *
-  * \c *this is not required to be square.
-  *
-  * Example: \include MatrixBase_diagonal.cpp
-  * Output: \verbinclude MatrixBase_diagonal.out
-  *
-  * \sa class Diagonal */
-template<typename Derived>
-inline typename MatrixBase<Derived>::DiagonalReturnType
-MatrixBase<Derived>::diagonal()
-{
-  return derived();
-}
-
-/** This is the const version of diagonal(). */
-template<typename Derived>
-inline const typename MatrixBase<Derived>::ConstDiagonalReturnType
-MatrixBase<Derived>::diagonal() const
-{
-  return ConstDiagonalReturnType(derived());
-}
-
-/** \returns an expression of the \a DiagIndex-th sub or super diagonal of the matrix \c *this
-  *
-  * \c *this is not required to be square.
-  *
-  * The template parameter \a DiagIndex represent a super diagonal if \a DiagIndex > 0
-  * and a sub diagonal otherwise. \a DiagIndex == 0 is equivalent to the main diagonal.
-  *
-  * Example: \include MatrixBase_diagonal_int.cpp
-  * Output: \verbinclude MatrixBase_diagonal_int.out
-  *
-  * \sa MatrixBase::diagonal(), class Diagonal */
-template<typename Derived>
-inline typename MatrixBase<Derived>::template DiagonalIndexReturnType<Dynamic>::Type
-MatrixBase<Derived>::diagonal(Index index)
-{
-  return typename DiagonalIndexReturnType<Dynamic>::Type(derived(), index);
-}
-
-/** This is the const version of diagonal(Index). */
-template<typename Derived>
-inline typename MatrixBase<Derived>::template ConstDiagonalIndexReturnType<Dynamic>::Type
-MatrixBase<Derived>::diagonal(Index index) const
-{
-  return typename ConstDiagonalIndexReturnType<Dynamic>::Type(derived(), index);
-}
-
-/** \returns an expression of the \a DiagIndex-th sub or super diagonal of the matrix \c *this
-  *
-  * \c *this is not required to be square.
-  *
-  * The template parameter \a DiagIndex represent a super diagonal if \a DiagIndex > 0
-  * and a sub diagonal otherwise. \a DiagIndex == 0 is equivalent to the main diagonal.
-  *
-  * Example: \include MatrixBase_diagonal_template_int.cpp
-  * Output: \verbinclude MatrixBase_diagonal_template_int.out
-  *
-  * \sa MatrixBase::diagonal(), class Diagonal */
-template<typename Derived>
-template<int Index>
-inline typename MatrixBase<Derived>::template DiagonalIndexReturnType<Index>::Type
-MatrixBase<Derived>::diagonal()
-{
-  return derived();
-}
-
-/** This is the const version of diagonal<int>(). */
-template<typename Derived>
-template<int Index>
-inline typename MatrixBase<Derived>::template ConstDiagonalIndexReturnType<Index>::Type
-MatrixBase<Derived>::diagonal() const
-{
-  return derived();
-}
-
-} // end namespace Eigen
-
-#endif // EIGEN_DIAGONAL_H
--- a/Eigen/src/Core/DiagonalCoeffs.h
+++ b/Eigen/src/Core/DiagonalCoeffs.h
@@ -0,0 +1,124 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra. Eigen itself is part of the KDE project.
+//
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// Eigen is free software; you can redistribute it and/or
+// modify it under the terms of the GNU Lesser General Public
+// License as published by the Free Software Foundation; either
+// version 3 of the License, or (at your option) any later version.
+//
+// Alternatively, you can redistribute it and/or
+// modify it under the terms of the GNU General Public License as
+// published by the Free Software Foundation; either version 2 of
+// the License, or (at your option) any later version.
+//
+// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
+// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
+// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
+// GNU General Public License for more details.
+//
+// You should have received a copy of the GNU Lesser General Public
+// License and a copy of the GNU General Public License along with
+// Eigen. If not, see <http://www.gnu.org/licenses/>.
+
+#ifndef EIGEN_DIAGONALCOEFFS_H
+#define EIGEN_DIAGONALCOEFFS_H
+
+/** \class DiagonalCoeffs
+  *
+  * \brief Expression of the main diagonal of a matrix
+  *
+  * \param MatrixType the type of the object in which we are taking the main diagonal
+  *
+  * The matrix is not required to be square.
+  *
+  * This class represents an expression of the main diagonal of a square matrix.
+  * It is the return type of MatrixBase::diagonal() and most of the time this is
+  * the only way it is used.
+  *
+  * \sa MatrixBase::diagonal()
+  */
+template<typename MatrixType>
+struct ei_traits<DiagonalCoeffs<MatrixType> >
+{
+  typedef typename MatrixType::Scalar Scalar;
+  typedef typename ei_nested<MatrixType>::type MatrixTypeNested;
+  typedef typename ei_unref<MatrixTypeNested>::type _MatrixTypeNested;
+  enum {
+    RowsAtCompileTime = int(MatrixType::SizeAtCompileTime) == Dynamic ? Dynamic
+                      : EIGEN_ENUM_MIN(MatrixType::RowsAtCompileTime,
+                                       MatrixType::ColsAtCompileTime),
+    ColsAtCompileTime = 1,
+    MaxRowsAtCompileTime = int(MatrixType::MaxSizeAtCompileTime) == Dynamic ? Dynamic
+                            : EIGEN_ENUM_MIN(MatrixType::MaxRowsAtCompileTime,
+                                             MatrixType::MaxColsAtCompileTime),
+    MaxColsAtCompileTime = 1,
+    Flags = (unsigned int)_MatrixTypeNested::Flags & (HereditaryBits | LinearAccessBit),
+    CoeffReadCost = _MatrixTypeNested::CoeffReadCost
+  };
+};
+
+template<typename MatrixType> class DiagonalCoeffs
+   : public MatrixBase<DiagonalCoeffs<MatrixType> >
+{
+  public:
+
+    EIGEN_GENERIC_PUBLIC_INTERFACE(DiagonalCoeffs)
+
+    inline DiagonalCoeffs(const MatrixType& matrix) : m_matrix(matrix) {}
+
+    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(DiagonalCoeffs)
+
+    inline int rows() const { return std::min(m_matrix.rows(), m_matrix.cols()); }
+    inline int cols() const { return 1; }
+
+    inline Scalar& coeffRef(int row, int)
+    {
+      return m_matrix.const_cast_derived().coeffRef(row, row);
+    }
+
+    inline const Scalar coeff(int row, int) const
+    {
+      return m_matrix.coeff(row, row);
+    }
+
+    inline Scalar& coeffRef(int index)
+    {
+      return m_matrix.const_cast_derived().coeffRef(index, index);
+    }
+
+    inline const Scalar coeff(int index) const
+    {
+      return m_matrix.coeff(index, index);
+    }
+
+  protected:
+
+    const typename MatrixType::Nested m_matrix;
+};
+
+/** \returns an expression of the main diagonal of the matrix \c *this
+  *
+  * \c *this is not required to be square.
+  *
+  * Example: \include MatrixBase_diagonal.cpp
+  * Output: \verbinclude MatrixBase_diagonal.out
+  *
+  * \sa class DiagonalCoeffs */
+template<typename Derived>
+inline DiagonalCoeffs<Derived>
+MatrixBase<Derived>::diagonal()
+{
+  return DiagonalCoeffs<Derived>(derived());
+}
+
+/** This is the const version of diagonal(). */
+template<typename Derived>
+inline const DiagonalCoeffs<Derived>
+MatrixBase<Derived>::diagonal() const
+{
+  return DiagonalCoeffs<Derived>(derived());
+}
+
+#endif // EIGEN_DIAGONALCOEFFS_H
--- a/Eigen/src/Core/DiagonalMatrix.h
+++ b/Eigen/src/Core/DiagonalMatrix.h
@@ -1,8 +1,7 @@
 // This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
+// for linear algebra. Eigen itself is part of the KDE project.
 //
-// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
-// Copyright (C) 2007-2009 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
 //
 // Eigen is free software; you can redistribute it and/or
 // modify it under the terms of the GNU Lesser General Public
@@ -26,259 +25,94 @@
 #ifndef EIGEN_DIAGONALMATRIX_H
 #define EIGEN_DIAGONALMATRIX_H

-namespace Eigen { 
-
-#ifndef EIGEN_PARSED_BY_DOXYGEN
-template<typename Derived>
-class DiagonalBase : public EigenBase<Derived>
-{
-  public:
-    typedef typename internal::traits<Derived>::DiagonalVectorType DiagonalVectorType;
-    typedef typename DiagonalVectorType::Scalar Scalar;
-    typedef typename internal::traits<Derived>::StorageKind StorageKind;
-    typedef typename internal::traits<Derived>::Index Index;
-
-    enum {
-      RowsAtCompileTime = DiagonalVectorType::SizeAtCompileTime,
-      ColsAtCompileTime = DiagonalVectorType::SizeAtCompileTime,
-      MaxRowsAtCompileTime = DiagonalVectorType::MaxSizeAtCompileTime,
-      MaxColsAtCompileTime = DiagonalVectorType::MaxSizeAtCompileTime,
-      IsVectorAtCompileTime = 0,
-      Flags = 0
-    };
-
-    typedef Matrix<Scalar, RowsAtCompileTime, ColsAtCompileTime, 0, MaxRowsAtCompileTime, MaxColsAtCompileTime> DenseMatrixType;
-    typedef DenseMatrixType DenseType;
-    typedef DiagonalMatrix<Scalar,DiagonalVectorType::SizeAtCompileTime,DiagonalVectorType::MaxSizeAtCompileTime> PlainObject;
-
-    inline const Derived& derived() const { return *static_cast<const Derived*>(this); }
-    inline Derived& derived() { return *static_cast<Derived*>(this); }
-
-    DenseMatrixType toDenseMatrix() const { return derived(); }
-    template<typename DenseDerived>
-    void evalTo(MatrixBase<DenseDerived> &other) const;
-    template<typename DenseDerived>
-    void addTo(MatrixBase<DenseDerived> &other) const
-    { other.diagonal() += diagonal(); }
-    template<typename DenseDerived>
-    void subTo(MatrixBase<DenseDerived> &other) const
-    { other.diagonal() -= diagonal(); }
-
-    inline const DiagonalVectorType& diagonal() const { return derived().diagonal(); }
-    inline DiagonalVectorType& diagonal() { return derived().diagonal(); }
-
-    inline Index rows() const { return diagonal().size(); }
-    inline Index cols() const { return diagonal().size(); }
-
-    template<typename MatrixDerived>
-    const DiagonalProduct<MatrixDerived, Derived, OnTheLeft>
-    operator*(const MatrixBase<MatrixDerived> &matrix) const;
-
-    inline const DiagonalWrapper<const CwiseUnaryOp<internal::scalar_inverse_op<Scalar>, const DiagonalVectorType> >
-    inverse() const
-    {
-      return diagonal().cwiseInverse();
-    }
-    
-    #ifdef EIGEN2_SUPPORT
-    template<typename OtherDerived>
-    bool isApprox(const DiagonalBase<OtherDerived>& other, typename NumTraits<Scalar>::Real precision = NumTraits<Scalar>::dummy_precision()) const
-    {
-      return diagonal().isApprox(other.diagonal(), precision);
-    }
-    template<typename OtherDerived>
-    bool isApprox(const MatrixBase<OtherDerived>& other, typename NumTraits<Scalar>::Real precision = NumTraits<Scalar>::dummy_precision()) const
-    {
-      return toDenseMatrix().isApprox(other, precision);
-    }
-    #endif
-};
-
-template<typename Derived>
-template<typename DenseDerived>
-void DiagonalBase<Derived>::evalTo(MatrixBase<DenseDerived> &other) const
-{
-  other.setZero();
-  other.diagonal() = diagonal();
-}
-#endif
-
 /** \class DiagonalMatrix
-  * \ingroup Core_Module
-  *
-  * \brief Represents a diagonal matrix with its storage
-  *
-  * \param _Scalar the type of coefficients
-  * \param SizeAtCompileTime the dimension of the matrix, or Dynamic
-  * \param MaxSizeAtCompileTime the dimension of the matrix, or Dynamic. This parameter is optional and defaults
-  *        to SizeAtCompileTime. Most of the time, you do not need to specify it.
-  *
-  * \sa class DiagonalWrapper
-  */
-
-namespace internal {
-template<typename _Scalar, int SizeAtCompileTime, int MaxSizeAtCompileTime>
-struct traits<DiagonalMatrix<_Scalar,SizeAtCompileTime,MaxSizeAtCompileTime> >
- : traits<Matrix<_Scalar,SizeAtCompileTime,SizeAtCompileTime,0,MaxSizeAtCompileTime,MaxSizeAtCompileTime> >
-{
-  typedef Matrix<_Scalar,SizeAtCompileTime,1,0,MaxSizeAtCompileTime,1> DiagonalVectorType;
-  typedef Dense StorageKind;
-  typedef DenseIndex Index;
-  enum {
-    Flags = LvalueBit
-  };
-};
-}
-template<typename _Scalar, int SizeAtCompileTime, int MaxSizeAtCompileTime>
-class DiagonalMatrix
-  : public DiagonalBase<DiagonalMatrix<_Scalar,SizeAtCompileTime,MaxSizeAtCompileTime> >
-{
-  public:
-    #ifndef EIGEN_PARSED_BY_DOXYGEN
-    typedef typename internal::traits<DiagonalMatrix>::DiagonalVectorType DiagonalVectorType;
-    typedef const DiagonalMatrix& Nested;
-    typedef _Scalar Scalar;
-    typedef typename internal::traits<DiagonalMatrix>::StorageKind StorageKind;
-    typedef typename internal::traits<DiagonalMatrix>::Index Index;
-    #endif
-
-  protected:
-
-    DiagonalVectorType m_diagonal;
-
-  public:
-
-    /** const version of diagonal(). */
-    inline const DiagonalVectorType& diagonal() const { return m_diagonal; }
-    /** \returns a reference to the stored vector of diagonal coefficients. */
-    inline DiagonalVectorType& diagonal() { return m_diagonal; }
-
-    /** Default constructor without initialization */
-    inline DiagonalMatrix() {}
-
-    /** Constructs a diagonal matrix with given dimension  */
-    inline DiagonalMatrix(Index dim) : m_diagonal(dim) {}
-
-    /** 2D constructor. */
-    inline DiagonalMatrix(const Scalar& x, const Scalar& y) : m_diagonal(x,y) {}
-
-    /** 3D constructor. */
-    inline DiagonalMatrix(const Scalar& x, const Scalar& y, const Scalar& z) : m_diagonal(x,y,z) {}
-
-    /** Copy constructor. */
-    template<typename OtherDerived>
-    inline DiagonalMatrix(const DiagonalBase<OtherDerived>& other) : m_diagonal(other.diagonal()) {}
-
-    #ifndef EIGEN_PARSED_BY_DOXYGEN
-    /** copy constructor. prevent a default copy constructor from hiding the other templated constructor */
-    inline DiagonalMatrix(const DiagonalMatrix& other) : m_diagonal(other.diagonal()) {}
-    #endif
-
-    /** generic constructor from expression of the diagonal coefficients */
-    template<typename OtherDerived>
-    explicit inline DiagonalMatrix(const MatrixBase<OtherDerived>& other) : m_diagonal(other)
-    {}
-
-    /** Copy operator. */
-    template<typename OtherDerived>
-    DiagonalMatrix& operator=(const DiagonalBase<OtherDerived>& other)
-    {
-      m_diagonal = other.diagonal();
-      return *this;
-    }
-
-    #ifndef EIGEN_PARSED_BY_DOXYGEN
-    /** This is a special case of the templated operator=. Its purpose is to
-      * prevent a default operator= from hiding the templated operator=.
-      */
-    DiagonalMatrix& operator=(const DiagonalMatrix& other)
-    {
-      m_diagonal = other.diagonal();
-      return *this;
-    }
-    #endif
-
-    /** Resizes to given size. */
-    inline void resize(Index size) { m_diagonal.resize(size); }
-    /** Sets all coefficients to zero. */
-    inline void setZero() { m_diagonal.setZero(); }
-    /** Resizes and sets all coefficients to zero. */
-    inline void setZero(Index size) { m_diagonal.setZero(size); }
-    /** Sets this matrix to be the identity matrix of the current size. */
-    inline void setIdentity() { m_diagonal.setOnes(); }
-    /** Sets this matrix to be the identity matrix of the given size. */
-    inline void setIdentity(Index size) { m_diagonal.setOnes(size); }
-};
-
-/** \class DiagonalWrapper
-  * \ingroup Core_Module
+  * \nonstableyet 
  *
  * \brief Expression of a diagonal matrix
  *
-  * \param _DiagonalVectorType the type of the vector of diagonal coefficients
+  * \param CoeffsVectorType the type of the vector of diagonal coefficients
  *
-  * This class is an expression of a diagonal matrix, but not storing its own vector of diagonal coefficients,
-  * instead wrapping an existing vector expression. It is the return type of MatrixBase::asDiagonal()
-  * and most of the time this is the only way that it is used.
+  * This class is an expression of a diagonal matrix with given vector of diagonal
+  * coefficients. It is the return
+  * type of MatrixBase::diagonal(const OtherDerived&) and most of the time this is
+  * the only way it is used.
  *
-  * \sa class DiagonalMatrix, class DiagonalBase, MatrixBase::asDiagonal()
+  * \sa MatrixBase::diagonal(const OtherDerived&)
  */
-
-namespace internal {
-template<typename _DiagonalVectorType>
-struct traits<DiagonalWrapper<_DiagonalVectorType> >
+template<typename CoeffsVectorType>
+struct ei_traits<DiagonalMatrix<CoeffsVectorType> >
 {
-  typedef _DiagonalVectorType DiagonalVectorType;
-  typedef typename DiagonalVectorType::Scalar Scalar;
-  typedef typename DiagonalVectorType::Index Index;
-  typedef typename DiagonalVectorType::StorageKind StorageKind;
+  typedef typename CoeffsVectorType::Scalar Scalar;
+  typedef typename ei_nested<CoeffsVectorType>::type CoeffsVectorTypeNested;
+  typedef typename ei_unref<CoeffsVectorTypeNested>::type _CoeffsVectorTypeNested;
  enum {
-    RowsAtCompileTime = DiagonalVectorType::SizeAtCompileTime,
-    ColsAtCompileTime = DiagonalVectorType::SizeAtCompileTime,
-    MaxRowsAtCompileTime = DiagonalVectorType::SizeAtCompileTime,
-    MaxColsAtCompileTime = DiagonalVectorType::SizeAtCompileTime,
-    Flags =  traits<DiagonalVectorType>::Flags & LvalueBit
+    RowsAtCompileTime = CoeffsVectorType::SizeAtCompileTime,
+    ColsAtCompileTime = CoeffsVectorType::SizeAtCompileTime,
+    MaxRowsAtCompileTime = CoeffsVectorType::MaxSizeAtCompileTime,
+    MaxColsAtCompileTime = CoeffsVectorType::MaxSizeAtCompileTime,
+    Flags = (_CoeffsVectorTypeNested::Flags & HereditaryBits) | Diagonal,
+    CoeffReadCost = _CoeffsVectorTypeNested::CoeffReadCost
  };
 };
-}

-template<typename _DiagonalVectorType>
-class DiagonalWrapper
-  : public DiagonalBase<DiagonalWrapper<_DiagonalVectorType> >, internal::no_assignment_operator
+template<typename CoeffsVectorType>
+class DiagonalMatrix : ei_no_assignment_operator,
+   public MatrixBase<DiagonalMatrix<CoeffsVectorType> >
 {
  public:
-    #ifndef EIGEN_PARSED_BY_DOXYGEN
-    typedef _DiagonalVectorType DiagonalVectorType;
-    typedef DiagonalWrapper Nested;
-    #endif

-    /** Constructor from expression of diagonal coefficients to wrap. */
-    inline DiagonalWrapper(DiagonalVectorType& diagonal) : m_diagonal(diagonal) {}
+    EIGEN_GENERIC_PUBLIC_INTERFACE(DiagonalMatrix)

-    /** \returns a const reference to the wrapped expression of diagonal coefficients. */
-    const DiagonalVectorType& diagonal() const { return m_diagonal; }
+    // needed to evaluate a DiagonalMatrix<Xpr> to a DiagonalMatrix<NestByValue<Vector> >
+    template<typename OtherCoeffsVectorType>
+    inline DiagonalMatrix(const DiagonalMatrix<OtherCoeffsVectorType>& other) : m_coeffs(other.diagonal())
+    {
+      EIGEN_STATIC_ASSERT_VECTOR_ONLY(CoeffsVectorType);
+      EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherCoeffsVectorType);
+      ei_assert(m_coeffs.size() > 0);
+    }
+
+    inline DiagonalMatrix(const CoeffsVectorType& coeffs) : m_coeffs(coeffs)
+    {
+      EIGEN_STATIC_ASSERT_VECTOR_ONLY(CoeffsVectorType);
+      ei_assert(coeffs.size() > 0);
+    }
+
+    inline int rows() const { return m_coeffs.size(); }
+    inline int cols() const { return m_coeffs.size(); }
+
+    inline const Scalar coeff(int row, int col) const
+    {
+      return row == col ? m_coeffs.coeff(row) : static_cast<Scalar>(0);
+    }
+
+    inline const CoeffsVectorType& diagonal() const { return m_coeffs; }

  protected:
-    typename DiagonalVectorType::Nested m_diagonal;
+    const typename CoeffsVectorType::Nested m_coeffs;
 };

-/** \returns a pseudo-expression of a diagonal matrix with *this as vector of diagonal coefficients
+/** \nonstableyet 
+  * \returns an expression of a diagonal matrix with *this as vector of diagonal coefficients
  *
  * \only_for_vectors
  *
+  * \addexample AsDiagonalExample \label How to build a diagonal matrix from a vector
+  *
  * Example: \include MatrixBase_asDiagonal.cpp
  * Output: \verbinclude MatrixBase_asDiagonal.out
  *
-  * \sa class DiagonalWrapper, class DiagonalMatrix, diagonal(), isDiagonal()
+  * \sa class DiagonalMatrix, isDiagonal()
  **/
 template<typename Derived>
-inline const DiagonalWrapper<const Derived>
+inline const DiagonalMatrix<Derived>
 MatrixBase<Derived>::asDiagonal() const
 {
  return derived();
 }

-/** \returns true if *this is approximately equal to a diagonal matrix,
+/** \nonstableyet 
+  * \returns true if *this is approximately equal to a diagonal matrix,
  *          within the precision given by \a prec.
  *
  * Example: \include MatrixBase_isDiagonal.cpp
@@ -287,24 +121,23 @@ MatrixBase<Derived>::asDiagonal() const
  * \sa asDiagonal()
  */
 template<typename Derived>
-bool MatrixBase<Derived>::isDiagonal(RealScalar prec) const
+bool MatrixBase<Derived>::isDiagonal
+(RealScalar prec) const
 {
  if(cols() != rows()) return false;
  RealScalar maxAbsOnDiagonal = static_cast<RealScalar>(-1);
-  for(Index j = 0; j < cols(); ++j)
+  for(int j = 0; j < cols(); ++j)
  {
-    RealScalar absOnDiagonal = internal::abs(coeff(j,j));
+    RealScalar absOnDiagonal = ei_abs(coeff(j,j));
    if(absOnDiagonal > maxAbsOnDiagonal) maxAbsOnDiagonal = absOnDiagonal;
  }
-  for(Index j = 0; j < cols(); ++j)
-    for(Index i = 0; i < j; ++i)
+  for(int j = 0; j < cols(); ++j)
+    for(int i = 0; i < j; ++i)
    {
-      if(!internal::isMuchSmallerThan(coeff(i, j), maxAbsOnDiagonal, prec)) return false;
-      if(!internal::isMuchSmallerThan(coeff(j, i), maxAbsOnDiagonal, prec)) return false;
+      if(!ei_isMuchSmallerThan(coeff(i, j), maxAbsOnDiagonal, prec)) return false;
+      if(!ei_isMuchSmallerThan(coeff(j, i), maxAbsOnDiagonal, prec)) return false;
    }
  return true;
 }

-} // end namespace Eigen
-
 #endif // EIGEN_DIAGONALMATRIX_H
--- a/Eigen/src/Core/DiagonalProduct.h
+++ b/Eigen/src/Core/DiagonalProduct.h
@@ -1,8 +1,8 @@
 // This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
+// for linear algebra. Eigen itself is part of the KDE project.
 //
-// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
-// Copyright (C) 2007-2009 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
 //
 // Eigen is free software; you can redistribute it and/or
 // modify it under the terms of the GNU Lesser General Public
@@ -26,113 +26,105 @@
 #ifndef EIGEN_DIAGONALPRODUCT_H
 #define EIGEN_DIAGONALPRODUCT_H

-namespace Eigen { 
+/** \internal Specialization of ei_nested for DiagonalMatrix.
+ *  Unlike ei_nested, if the argument is a DiagonalMatrix and if it must be evaluated,
+ *  then it evaluated to a DiagonalMatrix having its own argument evaluated.
+ */
+template<typename T, int N> struct ei_nested_diagonal : ei_nested<T,N> {};
+template<typename T, int N> struct ei_nested_diagonal<DiagonalMatrix<T>,N >
+ : ei_nested<DiagonalMatrix<T>, N, DiagonalMatrix<NestByValue<typename ei_plain_matrix_type<T>::type> > >
+{};

-namespace internal {
-template<typename MatrixType, typename DiagonalType, int ProductOrder>
-struct traits<DiagonalProduct<MatrixType, DiagonalType, ProductOrder> >
- : traits<MatrixType>
+// specialization of ProductReturnType
+template<typename Lhs, typename Rhs>
+struct ProductReturnType<Lhs,Rhs,DiagonalProduct>
 {
-  typedef typename scalar_product_traits<typename MatrixType::Scalar, typename DiagonalType::Scalar>::ReturnType Scalar;
+  typedef typename ei_nested_diagonal<Lhs,Rhs::ColsAtCompileTime>::type LhsNested;
+  typedef typename ei_nested_diagonal<Rhs,Lhs::RowsAtCompileTime>::type RhsNested;
+
+  typedef Product<LhsNested, RhsNested, DiagonalProduct> Type;
+};
+
+template<typename LhsNested, typename RhsNested>
+struct ei_traits<Product<LhsNested, RhsNested, DiagonalProduct> >
+{
+  // clean the nested types:
+  typedef typename ei_cleantype<LhsNested>::type _LhsNested;
+  typedef typename ei_cleantype<RhsNested>::type _RhsNested;
+  typedef typename _LhsNested::Scalar Scalar;
+
  enum {
-    RowsAtCompileTime = MatrixType::RowsAtCompileTime,
-    ColsAtCompileTime = MatrixType::ColsAtCompileTime,
-    MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
-    MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime,
+    LhsFlags = _LhsNested::Flags,
+    RhsFlags = _RhsNested::Flags,
+    RowsAtCompileTime = _LhsNested::RowsAtCompileTime,
+    ColsAtCompileTime = _RhsNested::ColsAtCompileTime,
+    MaxRowsAtCompileTime = _LhsNested::MaxRowsAtCompileTime,
+    MaxColsAtCompileTime = _RhsNested::MaxColsAtCompileTime,

-    _StorageOrder = MatrixType::Flags & RowMajorBit ? RowMajor : ColMajor,
-    _PacketOnDiag = !((int(_StorageOrder) == RowMajor && int(ProductOrder) == OnTheLeft)
-                    ||(int(_StorageOrder) == ColMajor && int(ProductOrder) == OnTheRight)),
-    _SameTypes = is_same<typename MatrixType::Scalar, typename DiagonalType::Scalar>::value,
-    // FIXME currently we need same types, but in the future the next rule should be the one
-    //_Vectorizable = bool(int(MatrixType::Flags)&PacketAccessBit) && ((!_PacketOnDiag) || (_SameTypes && bool(int(DiagonalType::Flags)&PacketAccessBit))),
-    _Vectorizable = bool(int(MatrixType::Flags)&PacketAccessBit) && _SameTypes && ((!_PacketOnDiag) || (bool(int(DiagonalType::Flags)&PacketAccessBit))),
+    LhsIsDiagonal = (_LhsNested::Flags&Diagonal)==Diagonal,
+    RhsIsDiagonal = (_RhsNested::Flags&Diagonal)==Diagonal,

-    Flags = (HereditaryBits & (unsigned int)(MatrixType::Flags)) | (_Vectorizable ? PacketAccessBit : 0),
-    CoeffReadCost = NumTraits<Scalar>::MulCost + MatrixType::CoeffReadCost + DiagonalType::DiagonalVectorType::CoeffReadCost
+    CanVectorizeRhs =  (!RhsIsDiagonal) && (RhsFlags & RowMajorBit) && (RhsFlags & PacketAccessBit)
+                     && (ColsAtCompileTime % ei_packet_traits<Scalar>::size == 0),
+
+    CanVectorizeLhs =  (!LhsIsDiagonal) && (!(LhsFlags & RowMajorBit)) && (LhsFlags & PacketAccessBit)
+                     && (RowsAtCompileTime % ei_packet_traits<Scalar>::size == 0),
+
+    RemovedBits = ~((RhsFlags & RowMajorBit) && (!CanVectorizeLhs) ? 0 : RowMajorBit),
+
+    Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & RemovedBits)
+          | (((CanVectorizeLhs&&RhsIsDiagonal) || (CanVectorizeRhs&&LhsIsDiagonal)) ? PacketAccessBit : 0),
+
+    CoeffReadCost = NumTraits<Scalar>::MulCost + _LhsNested::CoeffReadCost + _RhsNested::CoeffReadCost
  };
 };
-}

-template<typename MatrixType, typename DiagonalType, int ProductOrder>
-class DiagonalProduct : internal::no_assignment_operator,
-                        public MatrixBase<DiagonalProduct<MatrixType, DiagonalType, ProductOrder> >
+template<typename LhsNested, typename RhsNested> class Product<LhsNested, RhsNested, DiagonalProduct> : ei_no_assignment_operator,
+  public MatrixBase<Product<LhsNested, RhsNested, DiagonalProduct> >
 {
+    typedef typename ei_traits<Product>::_LhsNested _LhsNested;
+    typedef typename ei_traits<Product>::_RhsNested _RhsNested;
+
+    enum {
+      RhsIsDiagonal = (_RhsNested::Flags&Diagonal)==Diagonal
+    };
+
  public:

-    typedef MatrixBase<DiagonalProduct> Base;
-    EIGEN_DENSE_PUBLIC_INTERFACE(DiagonalProduct)
+    EIGEN_GENERIC_PUBLIC_INTERFACE(Product)

-    inline DiagonalProduct(const MatrixType& matrix, const DiagonalType& diagonal)
-      : m_matrix(matrix), m_diagonal(diagonal)
+    template<typename Lhs, typename Rhs>
+    inline Product(const Lhs& lhs, const Rhs& rhs)
+      : m_lhs(lhs), m_rhs(rhs)
    {
-      eigen_assert(diagonal.diagonal().size() == (ProductOrder == OnTheLeft ? matrix.rows() : matrix.cols()));
+      ei_assert(lhs.cols() == rhs.rows());
    }

-    inline Index rows() const { return m_matrix.rows(); }
-    inline Index cols() const { return m_matrix.cols(); }
+    inline int rows() const { return m_lhs.rows(); }
+    inline int cols() const { return m_rhs.cols(); }

-    const Scalar coeff(Index row, Index col) const
+    const Scalar coeff(int row, int col) const
    {
-      return m_diagonal.diagonal().coeff(ProductOrder == OnTheLeft ? row : col) * m_matrix.coeff(row, col);
+      const int unique = RhsIsDiagonal ? col : row;
+      return m_lhs.coeff(row, unique) * m_rhs.coeff(unique, col);
    }

    template<int LoadMode>
-    EIGEN_STRONG_INLINE PacketScalar packet(Index row, Index col) const
+    const PacketScalar packet(int row, int col) const
    {
-      enum {
-        StorageOrder = Flags & RowMajorBit ? RowMajor : ColMajor
-      };
-      const Index indexInDiagonalVector = ProductOrder == OnTheLeft ? row : col;
-
-      return packet_impl<LoadMode>(row,col,indexInDiagonalVector,typename internal::conditional<
-        ((int(StorageOrder) == RowMajor && int(ProductOrder) == OnTheLeft)
-       ||(int(StorageOrder) == ColMajor && int(ProductOrder) == OnTheRight)), internal::true_type, internal::false_type>::type());
+      if (RhsIsDiagonal)
+      {
+        return ei_pmul(m_lhs.template packet<LoadMode>(row, col), ei_pset1(m_rhs.coeff(col, col)));
+      }
+      else
+      {
+        return ei_pmul(ei_pset1(m_lhs.coeff(row, row)), m_rhs.template packet<LoadMode>(row, col));
+      }
    }

  protected:
-    template<int LoadMode>
-    EIGEN_STRONG_INLINE PacketScalar packet_impl(Index row, Index col, Index id, internal::true_type) const
-    {
-      return internal::pmul(m_matrix.template packet<LoadMode>(row, col),
-                     internal::pset1<PacketScalar>(m_diagonal.diagonal().coeff(id)));
-    }
-
-    template<int LoadMode>
-    EIGEN_STRONG_INLINE PacketScalar packet_impl(Index row, Index col, Index id, internal::false_type) const
-    {
-      enum {
-        InnerSize = (MatrixType::Flags & RowMajorBit) ? MatrixType::ColsAtCompileTime : MatrixType::RowsAtCompileTime,
-        DiagonalVectorPacketLoadMode = (LoadMode == Aligned && ((InnerSize%16) == 0)) ? Aligned : Unaligned
-      };
-      return internal::pmul(m_matrix.template packet<LoadMode>(row, col),
-                     m_diagonal.diagonal().template packet<DiagonalVectorPacketLoadMode>(id));
-    }
-
-    typename MatrixType::Nested m_matrix;
-    typename DiagonalType::Nested m_diagonal;
+    const LhsNested m_lhs;
+    const RhsNested m_rhs;
 };

-/** \returns the diagonal matrix product of \c *this by the diagonal matrix \a diagonal.
-  */
-template<typename Derived>
-template<typename DiagonalDerived>
-inline const DiagonalProduct<Derived, DiagonalDerived, OnTheRight>
-MatrixBase<Derived>::operator*(const DiagonalBase<DiagonalDerived> &diagonal) const
-{
-  return DiagonalProduct<Derived, DiagonalDerived, OnTheRight>(derived(), diagonal.derived());
-}
-
-/** \returns the diagonal matrix product of \c *this by the matrix \a matrix.
-  */
-template<typename DiagonalDerived>
-template<typename MatrixDerived>
-inline const DiagonalProduct<MatrixDerived, DiagonalDerived, OnTheLeft>
-DiagonalBase<DiagonalDerived>::operator*(const MatrixBase<MatrixDerived> &matrix) const
-{
-  return DiagonalProduct<MatrixDerived, DiagonalDerived, OnTheLeft>(matrix.derived(), derived());
-}
-
-} // end namespace Eigen
-
 #endif // EIGEN_DIAGONALPRODUCT_H
--- a/Eigen/src/Core/Dot.h
+++ b/Eigen/src/Core/Dot.h
@@ -1,7 +1,7 @@
 // This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
+// for linear algebra. Eigen itself is part of the KDE project.
 //
-// Copyright (C) 2006-2008, 2010 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
 //
 // Eigen is free software; you can redistribute it and/or
 // modify it under the terms of the GNU Lesser General Public
@@ -25,121 +25,268 @@
 #ifndef EIGEN_DOT_H
 #define EIGEN_DOT_H

-namespace Eigen { 
+/***************************************************************************
+* Part 1 : the logic deciding a strategy for vectorization and unrolling
+***************************************************************************/

-namespace internal {
+template<typename Derived1, typename Derived2>
+struct ei_dot_traits
+{
+public:
+  enum {
+    Vectorization = (int(Derived1::Flags)&int(Derived2::Flags)&ActualPacketAccessBit)
+                 && (int(Derived1::Flags)&int(Derived2::Flags)&LinearAccessBit)
+                  ? LinearVectorization
+                  : NoVectorization
+  };

-// helper function for dot(). The problem is that if we put that in the body of dot(), then upon calling dot
-// with mismatched types, the compiler emits errors about failing to instantiate cwiseProduct BEFORE
-// looking at the static assertions. Thus this is a trick to get better compile errors.
-template<typename T, typename U,
-// the NeedToTranspose condition here is taken straight from Assign.h
-         bool NeedToTranspose = T::IsVectorAtCompileTime
-                && U::IsVectorAtCompileTime
-                && ((int(T::RowsAtCompileTime) == 1 && int(U::ColsAtCompileTime) == 1)
-                      |  // FIXME | instead of || to please GCC 4.4.0 stupid warning "suggest parentheses around &&".
-                         // revert to || as soon as not needed anymore.
-                    (int(T::ColsAtCompileTime) == 1 && int(U::RowsAtCompileTime) == 1))
+private:
+  typedef typename Derived1::Scalar Scalar;
+  enum {
+    PacketSize = ei_packet_traits<Scalar>::size,
+    Cost = Derived1::SizeAtCompileTime * (Derived1::CoeffReadCost + Derived2::CoeffReadCost + NumTraits<Scalar>::MulCost)
+           + (Derived1::SizeAtCompileTime-1) * NumTraits<Scalar>::AddCost,
+    UnrollingLimit = EIGEN_UNROLLING_LIMIT * (int(Vectorization) == int(NoVectorization) ? 1 : int(PacketSize))
+  };
+
+public:
+  enum {
+    Unrolling = Cost <= UnrollingLimit
+              ? CompleteUnrolling
+              : NoUnrolling
+  };
+};
+
+/***************************************************************************
+* Part 2 : unrollers
+***************************************************************************/
+
+/*** no vectorization ***/
+
+template<typename Derived1, typename Derived2, int Start, int Length>
+struct ei_dot_novec_unroller
+{
+  enum {
+    HalfLength = Length/2
+  };
+
+  typedef typename Derived1::Scalar Scalar;
+
+  inline static Scalar run(const Derived1& v1, const Derived2& v2)
+  {
+    return ei_dot_novec_unroller<Derived1, Derived2, Start, HalfLength>::run(v1, v2)
+         + ei_dot_novec_unroller<Derived1, Derived2, Start+HalfLength, Length-HalfLength>::run(v1, v2);
+  }
+};
+
+template<typename Derived1, typename Derived2, int Start>
+struct ei_dot_novec_unroller<Derived1, Derived2, Start, 1>
+{
+  typedef typename Derived1::Scalar Scalar;
+
+  inline static Scalar run(const Derived1& v1, const Derived2& v2)
+  {
+    return v1.coeff(Start) * ei_conj(v2.coeff(Start));
+  }
+};
+
+/*** vectorization ***/
+
+template<typename Derived1, typename Derived2, int Index, int Stop,
+         bool LastPacket = (Stop-Index == ei_packet_traits<typename Derived1::Scalar>::size)>
+struct ei_dot_vec_unroller
+{
+  typedef typename Derived1::Scalar Scalar;
+  typedef typename ei_packet_traits<Scalar>::type PacketScalar;
+
+  enum {
+    row1 = Derived1::RowsAtCompileTime == 1 ? 0 : Index,
+    col1 = Derived1::RowsAtCompileTime == 1 ? Index : 0,
+    row2 = Derived2::RowsAtCompileTime == 1 ? 0 : Index,
+    col2 = Derived2::RowsAtCompileTime == 1 ? Index : 0
+  };
+
+  inline static PacketScalar run(const Derived1& v1, const Derived2& v2)
+  {
+    return ei_pmadd(
+      v1.template packet<Aligned>(row1, col1),
+      v2.template packet<Aligned>(row2, col2),
+      ei_dot_vec_unroller<Derived1, Derived2, Index+ei_packet_traits<Scalar>::size, Stop>::run(v1, v2)
+    );
+  }
+};
+
+template<typename Derived1, typename Derived2, int Index, int Stop>
+struct ei_dot_vec_unroller<Derived1, Derived2, Index, Stop, true>
+{
+  enum {
+    row1 = Derived1::RowsAtCompileTime == 1 ? 0 : Index,
+    col1 = Derived1::RowsAtCompileTime == 1 ? Index : 0,
+    row2 = Derived2::RowsAtCompileTime == 1 ? 0 : Index,
+    col2 = Derived2::RowsAtCompileTime == 1 ? Index : 0,
+    alignment1 = (Derived1::Flags & AlignedBit) ? Aligned : Unaligned,
+    alignment2 = (Derived2::Flags & AlignedBit) ? Aligned : Unaligned
+  };
+
+  typedef typename Derived1::Scalar Scalar;
+  typedef typename ei_packet_traits<Scalar>::type PacketScalar;
+
+  inline static PacketScalar run(const Derived1& v1, const Derived2& v2)
+  {
+    return ei_pmul(v1.template packet<alignment1>(row1, col1), v2.template packet<alignment2>(row2, col2));
+  }
+};
+
+/***************************************************************************
+* Part 3 : implementation of all cases
+***************************************************************************/
+
+template<typename Derived1, typename Derived2,
+         int Vectorization = ei_dot_traits<Derived1, Derived2>::Vectorization,
+         int Unrolling = ei_dot_traits<Derived1, Derived2>::Unrolling
 >
-struct dot_nocheck
+struct ei_dot_impl;
+
+template<typename Derived1, typename Derived2>
+struct ei_dot_impl<Derived1, Derived2, NoVectorization, NoUnrolling>
 {
-  typedef typename scalar_product_traits<typename traits<T>::Scalar,typename traits<U>::Scalar>::ReturnType ResScalar;
-  static inline ResScalar run(const MatrixBase<T>& a, const MatrixBase<U>& b)
+  typedef typename Derived1::Scalar Scalar;
+  static Scalar run(const Derived1& v1, const Derived2& v2)
  {
-    return a.template binaryExpr<scalar_conj_product_op<typename traits<T>::Scalar,typename traits<U>::Scalar> >(b).sum();
+    ei_assert(v1.size()>0 && "you are using a non initialized vector");
+    Scalar res;
+    res = v1.coeff(0) * ei_conj(v2.coeff(0));
+    for(int i = 1; i < v1.size(); ++i)
+      res += v1.coeff(i) * ei_conj(v2.coeff(i));
+    return res;
  }
 };

-template<typename T, typename U>
-struct dot_nocheck<T, U, true>
+template<typename Derived1, typename Derived2>
+struct ei_dot_impl<Derived1, Derived2, NoVectorization, CompleteUnrolling>
+  : public ei_dot_novec_unroller<Derived1, Derived2, 0, Derived1::SizeAtCompileTime>
+{};
+
+template<typename Derived1, typename Derived2>
+struct ei_dot_impl<Derived1, Derived2, LinearVectorization, NoUnrolling>
 {
-  typedef typename scalar_product_traits<typename traits<T>::Scalar,typename traits<U>::Scalar>::ReturnType ResScalar;
-  static inline ResScalar run(const MatrixBase<T>& a, const MatrixBase<U>& b)
+  typedef typename Derived1::Scalar Scalar;
+  typedef typename ei_packet_traits<Scalar>::type PacketScalar;
+
+  static Scalar run(const Derived1& v1, const Derived2& v2)
  {
-    return a.transpose().template binaryExpr<scalar_conj_product_op<typename traits<T>::Scalar,typename traits<U>::Scalar> >(b).sum();
+    const int size = v1.size();
+    const int packetSize = ei_packet_traits<Scalar>::size;
+    const int alignedSize = (size/packetSize)*packetSize;
+    enum {
+      alignment1 = (Derived1::Flags & AlignedBit) ? Aligned : Unaligned,
+      alignment2 = (Derived2::Flags & AlignedBit) ? Aligned : Unaligned
+    };
+    Scalar res;
+
+    // do the vectorizable part of the sum
+    if(size >= packetSize)
+    {
+      PacketScalar packet_res = ei_pmul(
+                                  v1.template packet<alignment1>(0),
+                                  v2.template packet<alignment2>(0)
+                                );
+      for(int index = packetSize; index<alignedSize; index += packetSize)
+      {
+        packet_res = ei_pmadd(
+                       v1.template packet<alignment1>(index),
+                       v2.template packet<alignment2>(index),
+                       packet_res
+                     );
+      }
+      res = ei_predux(packet_res);
+
+      // now we must do the rest without vectorization.
+      if(alignedSize == size) return res;
+    }
+    else // too small to vectorize anything.
+         // since this is dynamic-size hence inefficient anyway for such small sizes, don't try to optimize.
+    {
+      res = Scalar(0);
+    }
+
+    // do the remainder of the vector
+    for(int index = alignedSize; index < size; ++index)
+    {
+      res += v1.coeff(index) * v2.coeff(index);
+    }
+
+    return res;
  }
 };

-} // end namespace internal
+template<typename Derived1, typename Derived2>
+struct ei_dot_impl<Derived1, Derived2, LinearVectorization, CompleteUnrolling>
+{
+  typedef typename Derived1::Scalar Scalar;
+  typedef typename ei_packet_traits<Scalar>::type PacketScalar;
+  enum {
+    PacketSize = ei_packet_traits<Scalar>::size,
+    Size = Derived1::SizeAtCompileTime,
+    VectorizationSize = (Size / PacketSize) * PacketSize
+  };
+  static Scalar run(const Derived1& v1, const Derived2& v2)
+  {
+    Scalar res = ei_predux(ei_dot_vec_unroller<Derived1, Derived2, 0, VectorizationSize>::run(v1, v2));
+    if (VectorizationSize != Size)
+      res += ei_dot_novec_unroller<Derived1, Derived2, VectorizationSize, Size-VectorizationSize>::run(v1, v2);
+    return res;
+  }
+};
+
+/***************************************************************************
+* Part 4 : implementation of MatrixBase methods
+***************************************************************************/

 /** \returns the dot product of *this with other.
  *
  * \only_for_vectors
  *
  * \note If the scalar type is complex numbers, then this function returns the hermitian
-  * (sesquilinear) dot product, conjugate-linear in the first variable and linear in the
+  * (sesquilinear) dot product, linear in the first variable and conjugate-linear in the
  * second variable.
  *
  * \sa squaredNorm(), norm()
  */
 template<typename Derived>
 template<typename OtherDerived>
-typename internal::scalar_product_traits<typename internal::traits<Derived>::Scalar,typename internal::traits<OtherDerived>::Scalar>::ReturnType
+typename ei_traits<Derived>::Scalar
 MatrixBase<Derived>::dot(const MatrixBase<OtherDerived>& other) const
 {
  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
  EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
  EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE(Derived,OtherDerived)
-  typedef internal::scalar_conj_product_op<Scalar,typename OtherDerived::Scalar> func;
-  EIGEN_CHECK_BINARY_COMPATIBILIY(func,Scalar,typename OtherDerived::Scalar);
-
-  eigen_assert(size() == other.size());
-
-  return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
-}
-
-#ifdef EIGEN2_SUPPORT
-/** \returns the dot product of *this with other, with the Eigen2 convention that the dot product is linear in the first variable
-  * (conjugating the second variable). Of course this only makes a difference in the complex case.
-  *
-  * This method is only available in EIGEN2_SUPPORT mode.
-  *
-  * \only_for_vectors
-  *
-  * \sa dot()
-  */
-template<typename Derived>
-template<typename OtherDerived>
-typename internal::traits<Derived>::Scalar
-MatrixBase<Derived>::eigen2_dot(const MatrixBase<OtherDerived>& other) const
-{
-  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
-  EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
-  EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE(Derived,OtherDerived)
-  EIGEN_STATIC_ASSERT((internal::is_same<Scalar, typename OtherDerived::Scalar>::value),
+  EIGEN_STATIC_ASSERT((ei_is_same_type<Scalar, typename OtherDerived::Scalar>::ret),
    YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)

-  eigen_assert(size() == other.size());
+  ei_assert(size() == other.size());

-  return internal::dot_nocheck<OtherDerived,Derived>::run(other,*this);
+  return ei_dot_impl<Derived, OtherDerived>::run(derived(), other.derived());
 }
-#endif

-
-//---------- implementation of L2 norm and related functions ----------
-
-/** \returns, for vectors, the squared \em l2 norm of \c *this, and for matrices the Frobenius norm.
-  * In both cases, it consists in the sum of the square of all the matrix entries.
-  * For vectors, this is also equals to the dot product of \c *this with itself.
+/** \returns the squared \em l2 norm of *this, i.e., for vectors, the dot product of *this with itself.
  *
  * \sa dot(), norm()
  */
 template<typename Derived>
-EIGEN_STRONG_INLINE typename NumTraits<typename internal::traits<Derived>::Scalar>::Real MatrixBase<Derived>::squaredNorm() const
+inline typename NumTraits<typename ei_traits<Derived>::Scalar>::Real MatrixBase<Derived>::squaredNorm() const
 {
-  return internal::real((*this).cwiseAbs2().sum());
+  return ei_real((*this).cwise().abs2().sum());
 }

-/** \returns, for vectors, the \em l2 norm of \c *this, and for matrices the Frobenius norm.
-  * In both cases, it consists in the square root of the sum of the square of all the matrix entries.
-  * For vectors, this is also equals to the square root of the dot product of \c *this with itself.
+/** \returns the \em l2 norm of *this, i.e., for vectors, the square root of the dot product of *this with itself.
  *
  * \sa dot(), squaredNorm()
  */
 template<typename Derived>
-inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real MatrixBase<Derived>::norm() const
+inline typename NumTraits<typename ei_traits<Derived>::Scalar>::Real MatrixBase<Derived>::norm() const
 {
-  return internal::sqrt(squaredNorm());
+  return ei_sqrt(squaredNorm());
 }

 /** \returns an expression of the quotient of *this by its own norm.
@@ -149,11 +296,11 @@ inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real Matr
  * \sa norm(), normalize()
  */
 template<typename Derived>
-inline const typename MatrixBase<Derived>::PlainObject
+inline const typename MatrixBase<Derived>::PlainMatrixType
 MatrixBase<Derived>::normalized() const
 {
-  typedef typename internal::nested<Derived>::type Nested;
-  typedef typename internal::remove_reference<Nested>::type _Nested;
+  typedef typename ei_nested<Derived>::type Nested;
+  typedef typename ei_unref<Nested>::type _Nested;
  _Nested n(derived());
  return n / n.norm();
 }
@@ -170,65 +317,6 @@ inline void MatrixBase<Derived>::normalize()
  *this /= norm();
 }

-//---------- implementation of other norms ----------
-
-namespace internal {
-
-template<typename Derived, int p>
-struct lpNorm_selector
-{
-  typedef typename NumTraits<typename traits<Derived>::Scalar>::Real RealScalar;
-  static inline RealScalar run(const MatrixBase<Derived>& m)
-  {
-    return pow(m.cwiseAbs().array().pow(p).sum(), RealScalar(1)/p);
-  }
-};
-
-template<typename Derived>
-struct lpNorm_selector<Derived, 1>
-{
-  static inline typename NumTraits<typename traits<Derived>::Scalar>::Real run(const MatrixBase<Derived>& m)
-  {
-    return m.cwiseAbs().sum();
-  }
-};
-
-template<typename Derived>
-struct lpNorm_selector<Derived, 2>
-{
-  static inline typename NumTraits<typename traits<Derived>::Scalar>::Real run(const MatrixBase<Derived>& m)
-  {
-    return m.norm();
-  }
-};
-
-template<typename Derived>
-struct lpNorm_selector<Derived, Infinity>
-{
-  static inline typename NumTraits<typename traits<Derived>::Scalar>::Real run(const MatrixBase<Derived>& m)
-  {
-    return m.cwiseAbs().maxCoeff();
-  }
-};
-
-} // end namespace internal
-
-/** \returns the \f$ \ell^p \f$ norm of *this, that is, returns the p-th root of the sum of the p-th powers of the absolute values
-  *          of the coefficients of *this. If \a p is the special value \a Eigen::Infinity, this function returns the \f$ \ell^\infty \f$
-  *          norm, that is the maximum of the absolute values of the coefficients of *this.
-  *
-  * \sa norm()
-  */
-template<typename Derived>
-template<int p>
-inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real
-MatrixBase<Derived>::lpNorm() const
-{
-  return internal::lpNorm_selector<Derived, p>::run(*this);
-}
-
-//---------- implementation of isOrthogonal / isUnitary ----------
-
 /** \returns true if *this is approximately orthogonal to \a other,
  *          within the precision given by \a prec.
  *
@@ -240,9 +328,9 @@ template<typename OtherDerived>
 bool MatrixBase<Derived>::isOrthogonal
 (const MatrixBase<OtherDerived>& other, RealScalar prec) const
 {
-  typename internal::nested<Derived,2>::type nested(derived());
-  typename internal::nested<OtherDerived,2>::type otherNested(other.derived());
-  return internal::abs2(nested.dot(otherNested)) <= prec * prec * nested.squaredNorm() * otherNested.squaredNorm();
+  typename ei_nested<Derived,2>::type nested(derived());
+  typename ei_nested<OtherDerived,2>::type otherNested(other.derived());
+  return ei_abs2(nested.dot(otherNested)) <= prec * prec * nested.squaredNorm() * otherNested.squaredNorm();
 }

 /** \returns true if *this is approximately an unitary matrix,
@@ -260,17 +348,14 @@ template<typename Derived>
 bool MatrixBase<Derived>::isUnitary(RealScalar prec) const
 {
  typename Derived::Nested nested(derived());
-  for(Index i = 0; i < cols(); ++i)
+  for(int i = 0; i < cols(); ++i)
  {
-    if(!internal::isApprox(nested.col(i).squaredNorm(), static_cast<RealScalar>(1), prec))
+    if(!ei_isApprox(nested.col(i).squaredNorm(), static_cast<Scalar>(1), prec))
      return false;
-    for(Index j = 0; j < i; ++j)
-      if(!internal::isMuchSmallerThan(nested.col(i).dot(nested.col(j)), static_cast<Scalar>(1), prec))
+    for(int j = 0; j < i; ++j)
+      if(!ei_isMuchSmallerThan(nested.col(i).dot(nested.col(j)), static_cast<Scalar>(1), prec))
        return false;
  }
  return true;
 }
-
-} // end namespace Eigen
-
 #endif // EIGEN_DOT_H
--- a/Eigen/src/Core/EigenBase.h
+++ b/Eigen/src/Core/EigenBase.h
@@ -1,175 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
-// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
-//
-// Eigen is free software; you can redistribute it and/or
-// modify it under the terms of the GNU Lesser General Public
-// License as published by the Free Software Foundation; either
-// version 3 of the License, or (at your option) any later version.
-//
-// Alternatively, you can redistribute it and/or
-// modify it under the terms of the GNU General Public License as
-// published by the Free Software Foundation; either version 2 of
-// the License, or (at your option) any later version.
-//
-// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
-// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
-// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU Lesser General Public
-// License and a copy of the GNU General Public License along with
-// Eigen. If not, see <http://www.gnu.org/licenses/>.
-
-#ifndef EIGEN_EIGENBASE_H
-#define EIGEN_EIGENBASE_H
-
-namespace Eigen {
-
-/** Common base class for all classes T such that MatrixBase has an operator=(T) and a constructor MatrixBase(T).
-  *
-  * In other words, an EigenBase object is an object that can be copied into a MatrixBase.
-  *
-  * Besides MatrixBase-derived classes, this also includes special matrix classes such as diagonal matrices, etc.
-  *
-  * Notice that this class is trivial, it is only used to disambiguate overloaded functions.
-  *
-  * \sa \ref TopicClassHierarchy
-  */
-template<typename Derived> struct EigenBase
-{
-//   typedef typename internal::plain_matrix_type<Derived>::type PlainObject;
-
-  typedef typename internal::traits<Derived>::StorageKind StorageKind;
-  typedef typename internal::traits<Derived>::Index Index;
-
-  /** \returns a reference to the derived object */
-  Derived& derived() { return *static_cast<Derived*>(this); }
-  /** \returns a const reference to the derived object */
-  const Derived& derived() const { return *static_cast<const Derived*>(this); }
-
-  inline Derived& const_cast_derived() const
-  { return *static_cast<Derived*>(const_cast<EigenBase*>(this)); }
-  inline const Derived& const_derived() const
-  { return *static_cast<const Derived*>(this); }
-
-  /** \returns the number of rows. \sa cols(), RowsAtCompileTime */
-  inline Index rows() const { return derived().rows(); }
-  /** \returns the number of columns. \sa rows(), ColsAtCompileTime*/
-  inline Index cols() const { return derived().cols(); }
-  /** \returns the number of coefficients, which is rows()*cols().
-    * \sa rows(), cols(), SizeAtCompileTime. */
-  inline Index size() const { return rows() * cols(); }
-
-  /** \internal Don't use it, but do the equivalent: \code dst = *this; \endcode */
-  template<typename Dest> inline void evalTo(Dest& dst) const
-  { derived().evalTo(dst); }
-
-  /** \internal Don't use it, but do the equivalent: \code dst += *this; \endcode */
-  template<typename Dest> inline void addTo(Dest& dst) const
-  {
-    // This is the default implementation,
-    // derived class can reimplement it in a more optimized way.
-    typename Dest::PlainObject res(rows(),cols());
-    evalTo(res);
-    dst += res;
-  }
-
-  /** \internal Don't use it, but do the equivalent: \code dst -= *this; \endcode */
-  template<typename Dest> inline void subTo(Dest& dst) const
-  {
-    // This is the default implementation,
-    // derived class can reimplement it in a more optimized way.
-    typename Dest::PlainObject res(rows(),cols());
-    evalTo(res);
-    dst -= res;
-  }
-
-  /** \internal Don't use it, but do the equivalent: \code dst.applyOnTheRight(*this); \endcode */
-  template<typename Dest> inline void applyThisOnTheRight(Dest& dst) const
-  {
-    // This is the default implementation,
-    // derived class can reimplement it in a more optimized way.
-    dst = dst * this->derived();
-  }
-
-  /** \internal Don't use it, but do the equivalent: \code dst.applyOnTheLeft(*this); \endcode */
-  template<typename Dest> inline void applyThisOnTheLeft(Dest& dst) const
-  {
-    // This is the default implementation,
-    // derived class can reimplement it in a more optimized way.
-    dst = this->derived() * dst;
-  }
-
-};
-
-/***************************************************************************
-* Implementation of matrix base methods
-***************************************************************************/
-
-/** \brief Copies the generic expression \a other into *this.
-  *
-  * \details The expression must provide a (templated) evalTo(Derived& dst) const
-  * function which does the actual job. In practice, this allows any user to write
-  * its own special matrix without having to modify MatrixBase
-  *
-  * \returns a reference to *this.
-  */
-template<typename Derived>
-template<typename OtherDerived>
-Derived& DenseBase<Derived>::operator=(const EigenBase<OtherDerived> &other)
-{
-  other.derived().evalTo(derived());
-  return derived();
-}
-
-template<typename Derived>
-template<typename OtherDerived>
-Derived& DenseBase<Derived>::operator+=(const EigenBase<OtherDerived> &other)
-{
-  other.derived().addTo(derived());
-  return derived();
-}
-
-template<typename Derived>
-template<typename OtherDerived>
-Derived& DenseBase<Derived>::operator-=(const EigenBase<OtherDerived> &other)
-{
-  other.derived().subTo(derived());
-  return derived();
-}
-
-/** replaces \c *this by \c *this * \a other.
-  *
-  * \returns a reference to \c *this
-  */
-template<typename Derived>
-template<typename OtherDerived>
-inline Derived&
-MatrixBase<Derived>::operator*=(const EigenBase<OtherDerived> &other)
-{
-  other.derived().applyThisOnTheRight(derived());
-  return derived();
-}
-
-/** replaces \c *this by \c *this * \a other. It is equivalent to MatrixBase::operator*=() */
-template<typename Derived>
-template<typename OtherDerived>
-inline void MatrixBase<Derived>::applyOnTheRight(const EigenBase<OtherDerived> &other)
-{
-  other.derived().applyThisOnTheRight(derived());
-}
-
-/** replaces \c *this by \c *this * \a other. */
-template<typename Derived>
-template<typename OtherDerived>
-inline void MatrixBase<Derived>::applyOnTheLeft(const EigenBase<OtherDerived> &other)
-{
-  other.derived().applyThisOnTheLeft(derived());
-}
-
-} // end namespace Eigen
-
-#endif // EIGEN_EIGENBASE_H
--- a/Eigen/src/Core/Flagged.h
+++ b/Eigen/src/Core/Flagged.h
@@ -1,5 +1,5 @@
 // This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
+// for linear algebra. Eigen itself is part of the KDE project.
 //
 // Copyright (C) 2008 Benoit Jacob <jacob.benoit.1@gmail.com>
 //
@@ -25,10 +25,7 @@
 #ifndef EIGEN_FLAGGED_H
 #define EIGEN_FLAGGED_H

-namespace Eigen { 
-
 /** \class Flagged
-  * \ingroup Core_Module
  *
  * \brief Expression with modified flags
  *
@@ -42,114 +39,108 @@ namespace Eigen {
  *
  * \sa MatrixBase::flagged()
  */
-
-namespace internal {
 template<typename ExpressionType, unsigned int Added, unsigned int Removed>
-struct traits<Flagged<ExpressionType, Added, Removed> > : traits<ExpressionType>
+struct ei_traits<Flagged<ExpressionType, Added, Removed> > : ei_traits<ExpressionType>
 {
  enum { Flags = (ExpressionType::Flags | Added) & ~Removed };
 };
-}

 template<typename ExpressionType, unsigned int Added, unsigned int Removed> class Flagged
  : public MatrixBase<Flagged<ExpressionType, Added, Removed> >
 {
  public:

-    typedef MatrixBase<Flagged> Base;
-    
-    EIGEN_DENSE_PUBLIC_INTERFACE(Flagged)
-    typedef typename internal::conditional<internal::must_nest_by_value<ExpressionType>::ret,
-        ExpressionType, const ExpressionType&>::type ExpressionTypeNested;
+    EIGEN_GENERIC_PUBLIC_INTERFACE(Flagged)
+    typedef typename ei_meta_if<ei_must_nest_by_value<ExpressionType>::ret,
+        ExpressionType, const ExpressionType&>::ret ExpressionTypeNested;
    typedef typename ExpressionType::InnerIterator InnerIterator;

    inline Flagged(const ExpressionType& matrix) : m_matrix(matrix) {}

-    inline Index rows() const { return m_matrix.rows(); }
-    inline Index cols() const { return m_matrix.cols(); }
-    inline Index outerStride() const { return m_matrix.outerStride(); }
-    inline Index innerStride() const { return m_matrix.innerStride(); }
+    inline int rows() const { return m_matrix.rows(); }
+    inline int cols() const { return m_matrix.cols(); }
+    inline int stride() const { return m_matrix.stride(); }

-    inline CoeffReturnType coeff(Index row, Index col) const
+    inline const Scalar coeff(int row, int col) const
    {
      return m_matrix.coeff(row, col);
    }

-    inline CoeffReturnType coeff(Index index) const
+    inline Scalar& coeffRef(int row, int col)
+    {
+      return m_matrix.const_cast_derived().coeffRef(row, col);
+    }
+
+    inline const Scalar coeff(int index) const
    {
      return m_matrix.coeff(index);
    }
-    
-    inline const Scalar& coeffRef(Index row, Index col) const
-    {
-      return m_matrix.const_cast_derived().coeffRef(row, col);
-    }

-    inline const Scalar& coeffRef(Index index) const
-    {
-      return m_matrix.const_cast_derived().coeffRef(index);
-    }
-
-    inline Scalar& coeffRef(Index row, Index col)
-    {
-      return m_matrix.const_cast_derived().coeffRef(row, col);
-    }
-
-    inline Scalar& coeffRef(Index index)
+    inline Scalar& coeffRef(int index)
    {
      return m_matrix.const_cast_derived().coeffRef(index);
    }

    template<int LoadMode>
-    inline const PacketScalar packet(Index row, Index col) const
+    inline const PacketScalar packet(int row, int col) const
    {
      return m_matrix.template packet<LoadMode>(row, col);
    }

    template<int LoadMode>
-    inline void writePacket(Index row, Index col, const PacketScalar& x)
+    inline void writePacket(int row, int col, const PacketScalar& x)
    {
      m_matrix.const_cast_derived().template writePacket<LoadMode>(row, col, x);
    }

    template<int LoadMode>
-    inline const PacketScalar packet(Index index) const
+    inline const PacketScalar packet(int index) const
    {
      return m_matrix.template packet<LoadMode>(index);
    }

    template<int LoadMode>
-    inline void writePacket(Index index, const PacketScalar& x)
+    inline void writePacket(int index, const PacketScalar& x)
    {
      m_matrix.const_cast_derived().template writePacket<LoadMode>(index, x);
    }

    const ExpressionType& _expression() const { return m_matrix; }

-    template<typename OtherDerived>
-    typename ExpressionType::PlainObject solveTriangular(const MatrixBase<OtherDerived>& other) const;
-
-    template<typename OtherDerived>
-    void solveTriangularInPlace(const MatrixBase<OtherDerived>& other) const;
-
  protected:
    ExpressionTypeNested m_matrix;
 };

-/** \returns an expression of *this with added and removed flags
+/** \returns an expression of *this with added flags
  *
-  * This is mostly for internal use.
+  * \addexample MarkExample \label How to mark a triangular matrix as triangular
  *
-  * \sa class Flagged
+  * Example: \include MatrixBase_marked.cpp
+  * Output: \verbinclude MatrixBase_marked.out
+  *
+  * \sa class Flagged, extract(), part()
  */
 template<typename Derived>
-template<unsigned int Added,unsigned int Removed>
-inline const Flagged<Derived, Added, Removed>
-DenseBase<Derived>::flagged() const
+template<unsigned int Added>
+inline const Flagged<Derived, Added, 0>
+MatrixBase<Derived>::marked() const
 {
  return derived();
 }

-} // end namespace Eigen
+/** \returns an expression of *this with the following flags removed:
+  * EvalBeforeNestingBit and EvalBeforeAssigningBit.
+  *
+  * Example: \include MatrixBase_lazy.cpp
+  * Output: \verbinclude MatrixBase_lazy.out
+  *
+  * \sa class Flagged, marked()
+  */
+template<typename Derived>
+inline const Flagged<Derived, 0, EvalBeforeNestingBit | EvalBeforeAssigningBit>
+MatrixBase<Derived>::lazy() const
+{
+  return derived();
+}

 #endif // EIGEN_FLAGGED_H
--- a/Eigen/src/Core/ForceAlignedAccess.h
+++ b/Eigen/src/Core/ForceAlignedAccess.h
@@ -1,161 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
-//
-// Eigen is free software; you can redistribute it and/or
-// modify it under the terms of the GNU Lesser General Public
-// License as published by the Free Software Foundation; either
-// version 3 of the License, or (at your option) any later version.
-//
-// Alternatively, you can redistribute it and/or
-// modify it under the terms of the GNU General Public License as
-// published by the Free Software Foundation; either version 2 of
-// the License, or (at your option) any later version.
-//
-// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
-// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
-// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU Lesser General Public
-// License and a copy of the GNU General Public License along with
-// Eigen. If not, see <http://www.gnu.org/licenses/>.
-
-#ifndef EIGEN_FORCEALIGNEDACCESS_H
-#define EIGEN_FORCEALIGNEDACCESS_H
-
-namespace Eigen {
-
-/** \class ForceAlignedAccess
-  * \ingroup Core_Module
-  *
-  * \brief Enforce aligned packet loads and stores regardless of what is requested
-  *
-  * \param ExpressionType the type of the object of which we are forcing aligned packet access
-  *
-  * This class is the return type of MatrixBase::forceAlignedAccess()
-  * and most of the time this is the only way it is used.
-  *
-  * \sa MatrixBase::forceAlignedAccess()
-  */
-
-namespace internal {
-template<typename ExpressionType>
-struct traits<ForceAlignedAccess<ExpressionType> > : public traits<ExpressionType>
-{};
-}
-
-template<typename ExpressionType> class ForceAlignedAccess
-  : public internal::dense_xpr_base< ForceAlignedAccess<ExpressionType> >::type
-{
-  public:
-
-    typedef typename internal::dense_xpr_base<ForceAlignedAccess>::type Base;
-    EIGEN_DENSE_PUBLIC_INTERFACE(ForceAlignedAccess)
-
-    inline ForceAlignedAccess(const ExpressionType& matrix) : m_expression(matrix) {}
-
-    inline Index rows() const { return m_expression.rows(); }
-    inline Index cols() const { return m_expression.cols(); }
-    inline Index outerStride() const { return m_expression.outerStride(); }
-    inline Index innerStride() const { return m_expression.innerStride(); }
-
-    inline const CoeffReturnType coeff(Index row, Index col) const
-    {
-      return m_expression.coeff(row, col);
-    }
-
-    inline Scalar& coeffRef(Index row, Index col)
-    {
-      return m_expression.const_cast_derived().coeffRef(row, col);
-    }
-
-    inline const CoeffReturnType coeff(Index index) const
-    {
-      return m_expression.coeff(index);
-    }
-
-    inline Scalar& coeffRef(Index index)
-    {
-      return m_expression.const_cast_derived().coeffRef(index);
-    }
-
-    template<int LoadMode>
-    inline const PacketScalar packet(Index row, Index col) const
-    {
-      return m_expression.template packet<Aligned>(row, col);
-    }
-
-    template<int LoadMode>
-    inline void writePacket(Index row, Index col, const PacketScalar& x)
-    {
-      m_expression.const_cast_derived().template writePacket<Aligned>(row, col, x);
-    }
-
-    template<int LoadMode>
-    inline const PacketScalar packet(Index index) const
-    {
-      return m_expression.template packet<Aligned>(index);
-    }
-
-    template<int LoadMode>
-    inline void writePacket(Index index, const PacketScalar& x)
-    {
-      m_expression.const_cast_derived().template writePacket<Aligned>(index, x);
-    }
-
-    operator const ExpressionType&() const { return m_expression; }
-
-  protected:
-    const ExpressionType& m_expression;
-
-  private:
-    ForceAlignedAccess& operator=(const ForceAlignedAccess&);
-};
-
-/** \returns an expression of *this with forced aligned access
-  * \sa forceAlignedAccessIf(),class ForceAlignedAccess
-  */
-template<typename Derived>
-inline const ForceAlignedAccess<Derived>
-MatrixBase<Derived>::forceAlignedAccess() const
-{
-  return ForceAlignedAccess<Derived>(derived());
-}
-
-/** \returns an expression of *this with forced aligned access
-  * \sa forceAlignedAccessIf(), class ForceAlignedAccess
-  */
-template<typename Derived>
-inline ForceAlignedAccess<Derived>
-MatrixBase<Derived>::forceAlignedAccess()
-{
-  return ForceAlignedAccess<Derived>(derived());
-}
-
-/** \returns an expression of *this with forced aligned access if \a Enable is true.
-  * \sa forceAlignedAccess(), class ForceAlignedAccess
-  */
-template<typename Derived>
-template<bool Enable>
-inline typename internal::add_const_on_value_type<typename internal::conditional<Enable,ForceAlignedAccess<Derived>,Derived&>::type>::type
-MatrixBase<Derived>::forceAlignedAccessIf() const
-{
-  return derived();
-}
-
-/** \returns an expression of *this with forced aligned access if \a Enable is true.
-  * \sa forceAlignedAccess(), class ForceAlignedAccess
-  */
-template<typename Derived>
-template<bool Enable>
-inline typename internal::conditional<Enable,ForceAlignedAccess<Derived>,Derived&>::type
-MatrixBase<Derived>::forceAlignedAccessIf()
-{
-  return derived();
-}
-
-} // end namespace Eigen
-
-#endif // EIGEN_FORCEALIGNEDACCESS_H
--- a/Eigen/src/Core/Functors.h
+++ b/Eigen/src/Core/Functors.h
--- a/Eigen/src/Core/Fuzzy.h
+++ b/Eigen/src/Core/Fuzzy.h
@@ -1,8 +1,8 @@
 // This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
+// for linear algebra. Eigen itself is part of the KDE project.
 //
 // Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
-// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
 //
 // Eigen is free software; you can redistribute it and/or
 // modify it under the terms of the GNU Lesser General Public
@@ -26,70 +26,7 @@
 #ifndef EIGEN_FUZZY_H
 #define EIGEN_FUZZY_H

-namespace Eigen { 
-
-namespace internal
-{
-
-template<typename Derived, typename OtherDerived, bool is_integer = NumTraits<typename Derived::Scalar>::IsInteger>
-struct isApprox_selector
-{
-  static bool run(const Derived& x, const OtherDerived& y, typename Derived::RealScalar prec)
-  {
-    using std::min;
-    typename internal::nested<Derived,2>::type nested(x);
-    typename internal::nested<OtherDerived,2>::type otherNested(y);
-    return (nested - otherNested).cwiseAbs2().sum() <= prec * prec * (min)(nested.cwiseAbs2().sum(), otherNested.cwiseAbs2().sum());
-  }
-};
-
-template<typename Derived, typename OtherDerived>
-struct isApprox_selector<Derived, OtherDerived, true>
-{
-  static bool run(const Derived& x, const OtherDerived& y, typename Derived::RealScalar)
-  {
-    return x.matrix() == y.matrix();
-  }
-};
-
-template<typename Derived, typename OtherDerived, bool is_integer = NumTraits<typename Derived::Scalar>::IsInteger>
-struct isMuchSmallerThan_object_selector
-{
-  static bool run(const Derived& x, const OtherDerived& y, typename Derived::RealScalar prec)
-  {
-    return x.cwiseAbs2().sum() <= abs2(prec) * y.cwiseAbs2().sum();
-  }
-};
-
-template<typename Derived, typename OtherDerived>
-struct isMuchSmallerThan_object_selector<Derived, OtherDerived, true>
-{
-  static bool run(const Derived& x, const OtherDerived&, typename Derived::RealScalar)
-  {
-    return x.matrix() == Derived::Zero(x.rows(), x.cols()).matrix();
-  }
-};
-
-template<typename Derived, bool is_integer = NumTraits<typename Derived::Scalar>::IsInteger>
-struct isMuchSmallerThan_scalar_selector
-{
-  static bool run(const Derived& x, const typename Derived::RealScalar& y, typename Derived::RealScalar prec)
-  {
-    return x.cwiseAbs2().sum() <= abs2(prec * y);
-  }
-};
-
-template<typename Derived>
-struct isMuchSmallerThan_scalar_selector<Derived, true>
-{
-  static bool run(const Derived& x, const typename Derived::RealScalar&, typename Derived::RealScalar)
-  {
-    return x.matrix() == Derived::Zero(x.rows(), x.cols()).matrix();
-  }
-};
-
-} // end namespace internal
-
+#ifndef EIGEN_LEGACY_COMPARES

 /** \returns \c true if \c *this is approximately equal to \a other, within the precision
  * determined by \a prec.
@@ -103,19 +40,21 @@ struct isMuchSmallerThan_scalar_selector<Derived, true>
  * \note Because of the multiplicativeness of this comparison, one can't use this function
  * to check whether \c *this is approximately equal to the zero matrix or vector.
  * Indeed, \c isApprox(zero) returns false unless \c *this itself is exactly the zero matrix
-  * or vector. If you want to test whether \c *this is zero, use internal::isMuchSmallerThan(const
+  * or vector. If you want to test whether \c *this is zero, use ei_isMuchSmallerThan(const
  * RealScalar&, RealScalar) instead.
  *
-  * \sa internal::isMuchSmallerThan(const RealScalar&, RealScalar) const
+  * \sa ei_isMuchSmallerThan(const RealScalar&, RealScalar) const
  */
 template<typename Derived>
 template<typename OtherDerived>
-bool DenseBase<Derived>::isApprox(
-  const DenseBase<OtherDerived>& other,
-  RealScalar prec
+bool MatrixBase<Derived>::isApprox(
+  const MatrixBase<OtherDerived>& other,
+  typename NumTraits<Scalar>::Real prec
 ) const
 {
-  return internal::isApprox_selector<Derived, OtherDerived>::run(derived(), other.derived(), prec);
+  const typename ei_nested<Derived,2>::type nested(derived());
+  const typename ei_nested<OtherDerived,2>::type otherNested(other.derived());
+  return (nested - otherNested).cwise().abs2().sum() <= prec * prec * std::min(nested.cwise().abs2().sum(), otherNested.cwise().abs2().sum());
 }

 /** \returns \c true if the norm of \c *this is much smaller than \a other,
@@ -129,15 +68,15 @@ bool DenseBase<Derived>::isApprox(
  * the value of the reference scalar \a other should come from the Hilbert-Schmidt norm
  * of a reference matrix of same dimensions.
  *
-  * \sa isApprox(), isMuchSmallerThan(const DenseBase<OtherDerived>&, RealScalar) const
+  * \sa isApprox(), isMuchSmallerThan(const MatrixBase<OtherDerived>&, RealScalar) const
  */
 template<typename Derived>
-bool DenseBase<Derived>::isMuchSmallerThan(
+bool MatrixBase<Derived>::isMuchSmallerThan(
  const typename NumTraits<Scalar>::Real& other,
-  RealScalar prec
+  typename NumTraits<Scalar>::Real prec
 ) const
 {
-  return internal::isMuchSmallerThan_scalar_selector<Derived>::run(derived(), other, prec);
+  return cwise().abs2().sum() <= prec * prec * other * other;
 }

 /** \returns \c true if the norm of \c *this is much smaller than the norm of \a other,
@@ -152,14 +91,144 @@ bool DenseBase<Derived>::isMuchSmallerThan(
  */
 template<typename Derived>
 template<typename OtherDerived>
-bool DenseBase<Derived>::isMuchSmallerThan(
-  const DenseBase<OtherDerived>& other,
-  RealScalar prec
+bool MatrixBase<Derived>::isMuchSmallerThan(
+  const MatrixBase<OtherDerived>& other,
+  typename NumTraits<Scalar>::Real prec
 ) const
 {
-  return internal::isMuchSmallerThan_object_selector<Derived, OtherDerived>::run(derived(), other.derived(), prec);
+  return this->cwise().abs2().sum() <= prec * prec * other.cwise().abs2().sum();
 }

-} // end namespace Eigen
+#else
+
+template<typename Derived, typename OtherDerived=Derived, bool IsVector=Derived::IsVectorAtCompileTime>
+struct ei_fuzzy_selector;
+
+/** \returns \c true if \c *this is approximately equal to \a other, within the precision
+  * determined by \a prec.
+  *
+  * \note The fuzzy compares are done multiplicatively. Two vectors \f$ v \f$ and \f$ w \f$
+  * are considered to be approximately equal within precision \f$ p \f$ if
+  * \f[ \Vert v - w \Vert \leqslant p\,\min(\Vert v\Vert, \Vert w\Vert). \f]
+  * For matrices, the comparison is done on all columns.
+  *
+  * \note Because of the multiplicativeness of this comparison, one can't use this function
+  * to check whether \c *this is approximately equal to the zero matrix or vector.
+  * Indeed, \c isApprox(zero) returns false unless \c *this itself is exactly the zero matrix
+  * or vector. If you want to test whether \c *this is zero, use ei_isMuchSmallerThan(const
+  * RealScalar&, RealScalar) instead.
+  *
+  * \sa ei_isMuchSmallerThan(const RealScalar&, RealScalar) const
+  */
+template<typename Derived>
+template<typename OtherDerived>
+bool MatrixBase<Derived>::isApprox(
+  const MatrixBase<OtherDerived>& other,
+  typename NumTraits<Scalar>::Real prec
+) const
+{
+  return ei_fuzzy_selector<Derived,OtherDerived>::isApprox(derived(), other.derived(), prec);
+}
+
+/** \returns \c true if the norm of \c *this is much smaller than \a other,
+  * within the precision determined by \a prec.
+  *
+  * \note The fuzzy compares are done multiplicatively. A vector \f$ v \f$ is
+  * considered to be much smaller than \f$ x \f$ within precision \f$ p \f$ if
+  * \f[ \Vert v \Vert \leqslant p\,\vert x\vert. \f]
+  * For matrices, the comparison is done on all columns.
+  *
+  * \sa isApprox(), isMuchSmallerThan(const MatrixBase<OtherDerived>&, RealScalar) const
+  */
+template<typename Derived>
+bool MatrixBase<Derived>::isMuchSmallerThan(
+  const typename NumTraits<Scalar>::Real& other,
+  typename NumTraits<Scalar>::Real prec
+) const
+{
+  return ei_fuzzy_selector<Derived>::isMuchSmallerThan(derived(), other, prec);
+}
+
+/** \returns \c true if the norm of \c *this is much smaller than the norm of \a other,
+  * within the precision determined by \a prec.
+  *
+  * \note The fuzzy compares are done multiplicatively. A vector \f$ v \f$ is
+  * considered to be much smaller than a vector \f$ w \f$ within precision \f$ p \f$ if
+  * \f[ \Vert v \Vert \leqslant p\,\Vert w\Vert. \f]
+  * For matrices, the comparison is done on all columns.
+  *
+  * \sa isApprox(), isMuchSmallerThan(const RealScalar&, RealScalar) const
+  */
+template<typename Derived>
+template<typename OtherDerived>
+bool MatrixBase<Derived>::isMuchSmallerThan(
+  const MatrixBase<OtherDerived>& other,
+  typename NumTraits<Scalar>::Real prec
+) const
+{
+  return ei_fuzzy_selector<Derived,OtherDerived>::isMuchSmallerThan(derived(), other.derived(), prec);
+}
+
+
+template<typename Derived, typename OtherDerived>
+struct ei_fuzzy_selector<Derived,OtherDerived,true>
+{
+  typedef typename Derived::RealScalar RealScalar;
+  static bool isApprox(const Derived& self, const OtherDerived& other, RealScalar prec)
+  {
+    EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE(Derived,OtherDerived)
+    ei_assert(self.size() == other.size());
+    return((self - other).squaredNorm() <= std::min(self.squaredNorm(), other.squaredNorm()) * prec * prec);
+  }
+  static bool isMuchSmallerThan(const Derived& self, const RealScalar& other, RealScalar prec)
+  {
+    return(self.squaredNorm() <= ei_abs2(other * prec));
+  }
+  static bool isMuchSmallerThan(const Derived& self, const OtherDerived& other, RealScalar prec)
+  {
+    EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE(Derived,OtherDerived)
+    ei_assert(self.size() == other.size());
+    return(self.squaredNorm() <= other.squaredNorm() * prec * prec);
+  }
+};
+
+template<typename Derived, typename OtherDerived>
+struct ei_fuzzy_selector<Derived,OtherDerived,false>
+{
+  typedef typename Derived::RealScalar RealScalar;
+  static bool isApprox(const Derived& self, const OtherDerived& other, RealScalar prec)
+  {
+    EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Derived,OtherDerived)
+    ei_assert(self.rows() == other.rows() && self.cols() == other.cols());
+    typename Derived::Nested nested(self);
+    typename OtherDerived::Nested otherNested(other);
+    for(int i = 0; i < self.cols(); ++i)
+      if((nested.col(i) - otherNested.col(i)).squaredNorm()
+          > std::min(nested.col(i).squaredNorm(), otherNested.col(i).squaredNorm()) * prec * prec)
+        return false;
+    return true;
+  }
+  static bool isMuchSmallerThan(const Derived& self, const RealScalar& other, RealScalar prec)
+  {
+    typename Derived::Nested nested(self);
+    for(int i = 0; i < self.cols(); ++i)
+      if(nested.col(i).squaredNorm() > ei_abs2(other * prec))
+        return false;
+    return true;
+  }
+  static bool isMuchSmallerThan(const Derived& self, const OtherDerived& other, RealScalar prec)
+  {
+    EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Derived,OtherDerived)
+    ei_assert(self.rows() == other.rows() && self.cols() == other.cols());
+    typename Derived::Nested nested(self);
+    typename OtherDerived::Nested otherNested(other);
+    for(int i = 0; i < self.cols(); ++i)
+      if(nested.col(i).squaredNorm() > otherNested.col(i).squaredNorm() * prec * prec)
+        return false;
+    return true;
+  }
+};
+
+#endif

 #endif // EIGEN_FUZZY_H
--- a/Eigen/src/Core/GeneralProduct.h
+++ b/Eigen/src/Core/GeneralProduct.h
@@ -1,628 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
-// Copyright (C) 2008-2011 Gael Guennebaud <gael.guennebaud@inria.fr>
-//
-// Eigen is free software; you can redistribute it and/or
-// modify it under the terms of the GNU Lesser General Public
-// License as published by the Free Software Foundation; either
-// version 3 of the License, or (at your option) any later version.
-//
-// Alternatively, you can redistribute it and/or
-// modify it under the terms of the GNU General Public License as
-// published by the Free Software Foundation; either version 2 of
-// the License, or (at your option) any later version.
-//
-// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
-// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
-// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU Lesser General Public
-// License and a copy of the GNU General Public License along with
-// Eigen. If not, see <http://www.gnu.org/licenses/>.
-
-#ifndef EIGEN_GENERAL_PRODUCT_H
-#define EIGEN_GENERAL_PRODUCT_H
-
-namespace Eigen { 
-
-/** \class GeneralProduct
-  * \ingroup Core_Module
-  *
-  * \brief Expression of the product of two general matrices or vectors
-  *
-  * \param LhsNested the type used to store the left-hand side
-  * \param RhsNested the type used to store the right-hand side
-  * \param ProductMode the type of the product
-  *
-  * This class represents an expression of the product of two general matrices.
-  * We call a general matrix, a dense matrix with full storage. For instance,
-  * This excludes triangular, selfadjoint, and sparse matrices.
-  * It is the return type of the operator* between general matrices. Its template
-  * arguments are determined automatically by ProductReturnType. Therefore,
-  * GeneralProduct should never be used direclty. To determine the result type of a
-  * function which involves a matrix product, use ProductReturnType::Type.
-  *
-  * \sa ProductReturnType, MatrixBase::operator*(const MatrixBase<OtherDerived>&)
-  */
-template<typename Lhs, typename Rhs, int ProductType = internal::product_type<Lhs,Rhs>::value>
-class GeneralProduct;
-
-enum {
-  Large = 2,
-  Small = 3
-};
-
-namespace internal {
-
-template<int Rows, int Cols, int Depth> struct product_type_selector;
-
-template<int Size, int MaxSize> struct product_size_category
-{
-  enum { is_large = MaxSize == Dynamic ||
-                    Size >= EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD,
-         value = is_large  ? Large
-               : Size == 1 ? 1
-                           : Small
-  };
-};
-
-template<typename Lhs, typename Rhs> struct product_type
-{
-  typedef typename remove_all<Lhs>::type _Lhs;
-  typedef typename remove_all<Rhs>::type _Rhs;
-  enum {
-    MaxRows  = _Lhs::MaxRowsAtCompileTime,
-    Rows  = _Lhs::RowsAtCompileTime,
-    MaxCols  = _Rhs::MaxColsAtCompileTime,
-    Cols  = _Rhs::ColsAtCompileTime,
-    MaxDepth = EIGEN_SIZE_MIN_PREFER_FIXED(_Lhs::MaxColsAtCompileTime,
-                                           _Rhs::MaxRowsAtCompileTime),
-    Depth = EIGEN_SIZE_MIN_PREFER_FIXED(_Lhs::ColsAtCompileTime,
-                                        _Rhs::RowsAtCompileTime),
-    LargeThreshold = EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD
-  };
-
-  // the splitting into different lines of code here, introducing the _select enums and the typedef below,
-  // is to work around an internal compiler error with gcc 4.1 and 4.2.
-private:
-  enum {
-    rows_select = product_size_category<Rows,MaxRows>::value,
-    cols_select = product_size_category<Cols,MaxCols>::value,
-    depth_select = product_size_category<Depth,MaxDepth>::value
-  };
-  typedef product_type_selector<rows_select, cols_select, depth_select> selector;
-
-public:
-  enum {
-    value = selector::ret
-  };
-#ifdef EIGEN_DEBUG_PRODUCT
-  static void debug()
-  {
-      EIGEN_DEBUG_VAR(Rows);
-      EIGEN_DEBUG_VAR(Cols);
-      EIGEN_DEBUG_VAR(Depth);
-      EIGEN_DEBUG_VAR(rows_select);
-      EIGEN_DEBUG_VAR(cols_select);
-      EIGEN_DEBUG_VAR(depth_select);
-      EIGEN_DEBUG_VAR(value);
-  }
-#endif
-};
-
-
-/* The following allows to select the kind of product at compile time
- * based on the three dimensions of the product.
- * This is a compile time mapping from {1,Small,Large}^3 -> {product types} */
-// FIXME I'm not sure the current mapping is the ideal one.
-template<int M, int N>  struct product_type_selector<M,N,1>              { enum { ret = OuterProduct }; };
-template<int Depth>     struct product_type_selector<1,    1,    Depth>  { enum { ret = InnerProduct }; };
-template<>              struct product_type_selector<1,    1,    1>      { enum { ret = InnerProduct }; };
-template<>              struct product_type_selector<Small,1,    Small>  { enum { ret = CoeffBasedProductMode }; };
-template<>              struct product_type_selector<1,    Small,Small>  { enum { ret = CoeffBasedProductMode }; };
-template<>              struct product_type_selector<Small,Small,Small>  { enum { ret = CoeffBasedProductMode }; };
-template<>              struct product_type_selector<Small, Small, 1>    { enum { ret = LazyCoeffBasedProductMode }; };
-template<>              struct product_type_selector<Small, Large, 1>    { enum { ret = LazyCoeffBasedProductMode }; };
-template<>              struct product_type_selector<Large, Small, 1>    { enum { ret = LazyCoeffBasedProductMode }; };
-template<>              struct product_type_selector<1,    Large,Small>  { enum { ret = CoeffBasedProductMode }; };
-template<>              struct product_type_selector<1,    Large,Large>  { enum { ret = GemvProduct }; };
-template<>              struct product_type_selector<1,    Small,Large>  { enum { ret = CoeffBasedProductMode }; };
-template<>              struct product_type_selector<Large,1,    Small>  { enum { ret = CoeffBasedProductMode }; };
-template<>              struct product_type_selector<Large,1,    Large>  { enum { ret = GemvProduct }; };
-template<>              struct product_type_selector<Small,1,    Large>  { enum { ret = CoeffBasedProductMode }; };
-template<>              struct product_type_selector<Small,Small,Large>  { enum { ret = GemmProduct }; };
-template<>              struct product_type_selector<Large,Small,Large>  { enum { ret = GemmProduct }; };
-template<>              struct product_type_selector<Small,Large,Large>  { enum { ret = GemmProduct }; };
-template<>              struct product_type_selector<Large,Large,Large>  { enum { ret = GemmProduct }; };
-template<>              struct product_type_selector<Large,Small,Small>  { enum { ret = GemmProduct }; };
-template<>              struct product_type_selector<Small,Large,Small>  { enum { ret = GemmProduct }; };
-template<>              struct product_type_selector<Large,Large,Small>  { enum { ret = GemmProduct }; };
-
-} // end namespace internal
-
-/** \class ProductReturnType
-  * \ingroup Core_Module
-  *
-  * \brief Helper class to get the correct and optimized returned type of operator*
-  *
-  * \param Lhs the type of the left-hand side
-  * \param Rhs the type of the right-hand side
-  * \param ProductMode the type of the product (determined automatically by internal::product_mode)
-  *
-  * This class defines the typename Type representing the optimized product expression
-  * between two matrix expressions. In practice, using ProductReturnType<Lhs,Rhs>::Type
-  * is the recommended way to define the result type of a function returning an expression
-  * which involve a matrix product. The class Product should never be
-  * used directly.
-  *
-  * \sa class Product, MatrixBase::operator*(const MatrixBase<OtherDerived>&)
-  */
-template<typename Lhs, typename Rhs, int ProductType>
-struct ProductReturnType
-{
-  // TODO use the nested type to reduce instanciations ????
-//   typedef typename internal::nested<Lhs,Rhs::ColsAtCompileTime>::type LhsNested;
-//   typedef typename internal::nested<Rhs,Lhs::RowsAtCompileTime>::type RhsNested;
-
-  typedef GeneralProduct<Lhs/*Nested*/, Rhs/*Nested*/, ProductType> Type;
-};
-
-template<typename Lhs, typename Rhs>
-struct ProductReturnType<Lhs,Rhs,CoeffBasedProductMode>
-{
-  typedef typename internal::nested<Lhs, Rhs::ColsAtCompileTime, typename internal::plain_matrix_type<Lhs>::type >::type LhsNested;
-  typedef typename internal::nested<Rhs, Lhs::RowsAtCompileTime, typename internal::plain_matrix_type<Rhs>::type >::type RhsNested;
-  typedef CoeffBasedProduct<LhsNested, RhsNested, EvalBeforeAssigningBit | EvalBeforeNestingBit> Type;
-};
-
-template<typename Lhs, typename Rhs>
-struct ProductReturnType<Lhs,Rhs,LazyCoeffBasedProductMode>
-{
-  typedef typename internal::nested<Lhs, Rhs::ColsAtCompileTime, typename internal::plain_matrix_type<Lhs>::type >::type LhsNested;
-  typedef typename internal::nested<Rhs, Lhs::RowsAtCompileTime, typename internal::plain_matrix_type<Rhs>::type >::type RhsNested;
-  typedef CoeffBasedProduct<LhsNested, RhsNested, NestByRefBit> Type;
-};
-
-// this is a workaround for sun CC
-template<typename Lhs, typename Rhs>
-struct LazyProductReturnType : public ProductReturnType<Lhs,Rhs,LazyCoeffBasedProductMode>
-{};
-
-/***********************************************************************
-*  Implementation of Inner Vector Vector Product
-***********************************************************************/
-
-// FIXME : maybe the "inner product" could return a Scalar
-// instead of a 1x1 matrix ??
-// Pro: more natural for the user
-// Cons: this could be a problem if in a meta unrolled algorithm a matrix-matrix
-// product ends up to a row-vector times col-vector product... To tackle this use
-// case, we could have a specialization for Block<MatrixType,1,1> with: operator=(Scalar x);
-
-namespace internal {
-
-template<typename Lhs, typename Rhs>
-struct traits<GeneralProduct<Lhs,Rhs,InnerProduct> >
- : traits<Matrix<typename scalar_product_traits<typename Lhs::Scalar, typename Rhs::Scalar>::ReturnType,1,1> >
-{};
-
-}
-
-template<typename Lhs, typename Rhs>
-class GeneralProduct<Lhs, Rhs, InnerProduct>
-  : internal::no_assignment_operator,
-    public Matrix<typename internal::scalar_product_traits<typename Lhs::Scalar, typename Rhs::Scalar>::ReturnType,1,1>
-{
-    typedef Matrix<typename internal::scalar_product_traits<typename Lhs::Scalar, typename Rhs::Scalar>::ReturnType,1,1> Base;
-  public:
-    GeneralProduct(const Lhs& lhs, const Rhs& rhs)
-    {
-      EIGEN_STATIC_ASSERT((internal::is_same<typename Lhs::RealScalar, typename Rhs::RealScalar>::value),
-        YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
-
-      Base::coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
-    }
-
-    /** Convertion to scalar */
-    operator const typename Base::Scalar() const {
-      return Base::coeff(0,0);
-    }
-};
-
-/***********************************************************************
-*  Implementation of Outer Vector Vector Product
-***********************************************************************/
-
-namespace internal {
-template<int StorageOrder> struct outer_product_selector;
-
-template<typename Lhs, typename Rhs>
-struct traits<GeneralProduct<Lhs,Rhs,OuterProduct> >
- : traits<ProductBase<GeneralProduct<Lhs,Rhs,OuterProduct>, Lhs, Rhs> >
-{};
-
-}
-
-template<typename Lhs, typename Rhs>
-class GeneralProduct<Lhs, Rhs, OuterProduct>
-  : public ProductBase<GeneralProduct<Lhs,Rhs,OuterProduct>, Lhs, Rhs>
-{
-  public:
-    EIGEN_PRODUCT_PUBLIC_INTERFACE(GeneralProduct)
-
-    GeneralProduct(const Lhs& lhs, const Rhs& rhs) : Base(lhs,rhs)
-    {
-      EIGEN_STATIC_ASSERT((internal::is_same<typename Lhs::RealScalar, typename Rhs::RealScalar>::value),
-        YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
-    }
-
-    template<typename Dest> void scaleAndAddTo(Dest& dest, Scalar alpha) const
-    {
-      internal::outer_product_selector<(int(Dest::Flags)&RowMajorBit) ? RowMajor : ColMajor>::run(*this, dest, alpha);
-    }
-};
-
-namespace internal {
-
-template<> struct outer_product_selector<ColMajor> {
-  template<typename ProductType, typename Dest>
-  static EIGEN_DONT_INLINE void run(const ProductType& prod, Dest& dest, typename ProductType::Scalar alpha) {
-    typedef typename Dest::Index Index;
-    // FIXME make sure lhs is sequentially stored
-    // FIXME not very good if rhs is real and lhs complex while alpha is real too
-    const Index cols = dest.cols();
-    for (Index j=0; j<cols; ++j)
-      dest.col(j) += (alpha * prod.rhs().coeff(j)) * prod.lhs();
-  }
-};
-
-template<> struct outer_product_selector<RowMajor> {
-  template<typename ProductType, typename Dest>
-  static EIGEN_DONT_INLINE void run(const ProductType& prod, Dest& dest, typename ProductType::Scalar alpha) {
-    typedef typename Dest::Index Index;
-    // FIXME make sure rhs is sequentially stored
-    // FIXME not very good if lhs is real and rhs complex while alpha is real too
-    const Index rows = dest.rows();
-    for (Index i=0; i<rows; ++i)
-      dest.row(i) += (alpha * prod.lhs().coeff(i)) * prod.rhs();
-  }
-};
-
-} // end namespace internal
-
-/***********************************************************************
-*  Implementation of General Matrix Vector Product
-***********************************************************************/
-
-/*  According to the shape/flags of the matrix we have to distinghish 3 different cases:
- *   1 - the matrix is col-major, BLAS compatible and M is large => call fast BLAS-like colmajor routine
- *   2 - the matrix is row-major, BLAS compatible and N is large => call fast BLAS-like rowmajor routine
- *   3 - all other cases are handled using a simple loop along the outer-storage direction.
- *  Therefore we need a lower level meta selector.
- *  Furthermore, if the matrix is the rhs, then the product has to be transposed.
- */
-namespace internal {
-
-template<typename Lhs, typename Rhs>
-struct traits<GeneralProduct<Lhs,Rhs,GemvProduct> >
- : traits<ProductBase<GeneralProduct<Lhs,Rhs,GemvProduct>, Lhs, Rhs> >
-{};
-
-template<int Side, int StorageOrder, bool BlasCompatible>
-struct gemv_selector;
-
-} // end namespace internal
-
-template<typename Lhs, typename Rhs>
-class GeneralProduct<Lhs, Rhs, GemvProduct>
-  : public ProductBase<GeneralProduct<Lhs,Rhs,GemvProduct>, Lhs, Rhs>
-{
-  public:
-    EIGEN_PRODUCT_PUBLIC_INTERFACE(GeneralProduct)
-
-    typedef typename Lhs::Scalar LhsScalar;
-    typedef typename Rhs::Scalar RhsScalar;
-
-    GeneralProduct(const Lhs& lhs, const Rhs& rhs) : Base(lhs,rhs)
-    {
-//       EIGEN_STATIC_ASSERT((internal::is_same<typename Lhs::Scalar, typename Rhs::Scalar>::value),
-//         YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
-    }
-
-    enum { Side = Lhs::IsVectorAtCompileTime ? OnTheLeft : OnTheRight };
-    typedef typename internal::conditional<int(Side)==OnTheRight,_LhsNested,_RhsNested>::type MatrixType;
-
-    template<typename Dest> void scaleAndAddTo(Dest& dst, Scalar alpha) const
-    {
-      eigen_assert(m_lhs.rows() == dst.rows() && m_rhs.cols() == dst.cols());
-      internal::gemv_selector<Side,(int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
-                       bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)>::run(*this, dst, alpha);
-    }
-};
-
-namespace internal {
-
-// The vector is on the left => transposition
-template<int StorageOrder, bool BlasCompatible>
-struct gemv_selector<OnTheLeft,StorageOrder,BlasCompatible>
-{
-  template<typename ProductType, typename Dest>
-  static void run(const ProductType& prod, Dest& dest, typename ProductType::Scalar alpha)
-  {
-    Transpose<Dest> destT(dest);
-    enum { OtherStorageOrder = StorageOrder == RowMajor ? ColMajor : RowMajor };
-    gemv_selector<OnTheRight,OtherStorageOrder,BlasCompatible>
-      ::run(GeneralProduct<Transpose<const typename ProductType::_RhsNested>,Transpose<const typename ProductType::_LhsNested>, GemvProduct>
-        (prod.rhs().transpose(), prod.lhs().transpose()), destT, alpha);
-  }
-};
-
-template<typename Scalar,int Size,int MaxSize,bool Cond> struct gemv_static_vector_if;
-
-template<typename Scalar,int Size,int MaxSize>
-struct gemv_static_vector_if<Scalar,Size,MaxSize,false>
-{
-  EIGEN_STRONG_INLINE  Scalar* data() { eigen_internal_assert(false && "should never be called"); return 0; }
-};
-
-template<typename Scalar,int Size>
-struct gemv_static_vector_if<Scalar,Size,Dynamic,true>
-{
-  EIGEN_STRONG_INLINE Scalar* data() { return 0; }
-};
-
-template<typename Scalar,int Size,int MaxSize>
-struct gemv_static_vector_if<Scalar,Size,MaxSize,true>
-{
-  #if EIGEN_ALIGN_STATICALLY
-  internal::plain_array<Scalar,EIGEN_SIZE_MIN_PREFER_FIXED(Size,MaxSize),0> m_data;
-  EIGEN_STRONG_INLINE Scalar* data() { return m_data.array; }
-  #else
-  // Some architectures cannot align on the stack,
-  // => let's manually enforce alignment by allocating more data and return the address of the first aligned element.
-  enum {
-    ForceAlignment  = internal::packet_traits<Scalar>::Vectorizable,
-    PacketSize      = internal::packet_traits<Scalar>::size
-  };
-  internal::plain_array<Scalar,EIGEN_SIZE_MIN_PREFER_FIXED(Size,MaxSize)+(ForceAlignment?PacketSize:0),0> m_data;
-  EIGEN_STRONG_INLINE Scalar* data() {
-    return ForceAlignment
-            ? reinterpret_cast<Scalar*>((reinterpret_cast<size_t>(m_data.array) & ~(size_t(15))) + 16)
-            : m_data.array;
-  }
-  #endif
-};
-
-template<> struct gemv_selector<OnTheRight,ColMajor,true>
-{
-  template<typename ProductType, typename Dest>
-  static inline void run(const ProductType& prod, Dest& dest, typename ProductType::Scalar alpha)
-  {
-    typedef typename ProductType::Index Index;
-    typedef typename ProductType::LhsScalar   LhsScalar;
-    typedef typename ProductType::RhsScalar   RhsScalar;
-    typedef typename ProductType::Scalar      ResScalar;
-    typedef typename ProductType::RealScalar  RealScalar;
-    typedef typename ProductType::ActualLhsType ActualLhsType;
-    typedef typename ProductType::ActualRhsType ActualRhsType;
-    typedef typename ProductType::LhsBlasTraits LhsBlasTraits;
-    typedef typename ProductType::RhsBlasTraits RhsBlasTraits;
-    typedef Map<Matrix<ResScalar,Dynamic,1>, Aligned> MappedDest;
-
-    ActualLhsType actualLhs = LhsBlasTraits::extract(prod.lhs());
-    ActualRhsType actualRhs = RhsBlasTraits::extract(prod.rhs());
-
-    ResScalar actualAlpha = alpha * LhsBlasTraits::extractScalarFactor(prod.lhs())
-                                  * RhsBlasTraits::extractScalarFactor(prod.rhs());
-
-    enum {
-      // FIXME find a way to allow an inner stride on the result if packet_traits<Scalar>::size==1
-      // on, the other hand it is good for the cache to pack the vector anyways...
-      EvalToDestAtCompileTime = Dest::InnerStrideAtCompileTime==1,
-      ComplexByReal = (NumTraits<LhsScalar>::IsComplex) && (!NumTraits<RhsScalar>::IsComplex),
-      MightCannotUseDest = (Dest::InnerStrideAtCompileTime!=1) || ComplexByReal
-    };
-
-    gemv_static_vector_if<ResScalar,Dest::SizeAtCompileTime,Dest::MaxSizeAtCompileTime,MightCannotUseDest> static_dest;
-
-    bool alphaIsCompatible = (!ComplexByReal) || (imag(actualAlpha)==RealScalar(0));
-    bool evalToDest = EvalToDestAtCompileTime && alphaIsCompatible;
-    
-    RhsScalar compatibleAlpha = get_factor<ResScalar,RhsScalar>::run(actualAlpha);
-
-    ei_declare_aligned_stack_constructed_variable(ResScalar,actualDestPtr,dest.size(),
-                                                  evalToDest ? dest.data() : static_dest.data());
-    
-    if(!evalToDest)
-    {
-      #ifdef EIGEN_DENSE_STORAGE_CTOR_PLUGIN
-      int size = dest.size();
-      EIGEN_DENSE_STORAGE_CTOR_PLUGIN
-      #endif
-      if(!alphaIsCompatible)
-      {
-        MappedDest(actualDestPtr, dest.size()).setZero();
-        compatibleAlpha = RhsScalar(1);
-      }
-      else
-        MappedDest(actualDestPtr, dest.size()) = dest;
-    }
-
-    general_matrix_vector_product
-      <Index,LhsScalar,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsBlasTraits::NeedToConjugate>::run(
-        actualLhs.rows(), actualLhs.cols(),
-        actualLhs.data(), actualLhs.outerStride(),
-        actualRhs.data(), actualRhs.innerStride(),
-        actualDestPtr, 1,
-        compatibleAlpha);
-
-    if (!evalToDest)
-    {
-      if(!alphaIsCompatible)
-        dest += actualAlpha * MappedDest(actualDestPtr, dest.size());
-      else
-        dest = MappedDest(actualDestPtr, dest.size());
-    }
-  }
-};
-
-template<> struct gemv_selector<OnTheRight,RowMajor,true>
-{
-  template<typename ProductType, typename Dest>
-  static void run(const ProductType& prod, Dest& dest, typename ProductType::Scalar alpha)
-  {
-    typedef typename ProductType::LhsScalar LhsScalar;
-    typedef typename ProductType::RhsScalar RhsScalar;
-    typedef typename ProductType::Scalar    ResScalar;
-    typedef typename ProductType::Index Index;
-    typedef typename ProductType::ActualLhsType ActualLhsType;
-    typedef typename ProductType::ActualRhsType ActualRhsType;
-    typedef typename ProductType::_ActualRhsType _ActualRhsType;
-    typedef typename ProductType::LhsBlasTraits LhsBlasTraits;
-    typedef typename ProductType::RhsBlasTraits RhsBlasTraits;
-
-    typename add_const<ActualLhsType>::type actualLhs = LhsBlasTraits::extract(prod.lhs());
-    typename add_const<ActualRhsType>::type actualRhs = RhsBlasTraits::extract(prod.rhs());
-
-    ResScalar actualAlpha = alpha * LhsBlasTraits::extractScalarFactor(prod.lhs())
-                                  * RhsBlasTraits::extractScalarFactor(prod.rhs());
-
-    enum {
-      // FIXME find a way to allow an inner stride on the result if packet_traits<Scalar>::size==1
-      // on, the other hand it is good for the cache to pack the vector anyways...
-      DirectlyUseRhs = _ActualRhsType::InnerStrideAtCompileTime==1
-    };
-
-    gemv_static_vector_if<RhsScalar,_ActualRhsType::SizeAtCompileTime,_ActualRhsType::MaxSizeAtCompileTime,!DirectlyUseRhs> static_rhs;
-
-    ei_declare_aligned_stack_constructed_variable(RhsScalar,actualRhsPtr,actualRhs.size(),
-        DirectlyUseRhs ? const_cast<RhsScalar*>(actualRhs.data()) : static_rhs.data());
-
-    if(!DirectlyUseRhs)
-    {
-      #ifdef EIGEN_DENSE_STORAGE_CTOR_PLUGIN
-      int size = actualRhs.size();
-      EIGEN_DENSE_STORAGE_CTOR_PLUGIN
-      #endif
-      Map<typename _ActualRhsType::PlainObject>(actualRhsPtr, actualRhs.size()) = actualRhs;
-    }
-
-    general_matrix_vector_product
-      <Index,LhsScalar,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsBlasTraits::NeedToConjugate>::run(
-        actualLhs.rows(), actualLhs.cols(),
-        actualLhs.data(), actualLhs.outerStride(),
-        actualRhsPtr, 1,
-        dest.data(), dest.innerStride(),
-        actualAlpha);
-  }
-};
-
-template<> struct gemv_selector<OnTheRight,ColMajor,false>
-{
-  template<typename ProductType, typename Dest>
-  static void run(const ProductType& prod, Dest& dest, typename ProductType::Scalar alpha)
-  {
-    typedef typename Dest::Index Index;
-    // TODO makes sure dest is sequentially stored in memory, otherwise use a temp
-    const Index size = prod.rhs().rows();
-    for(Index k=0; k<size; ++k)
-      dest += (alpha*prod.rhs().coeff(k)) * prod.lhs().col(k);
-  }
-};
-
-template<> struct gemv_selector<OnTheRight,RowMajor,false>
-{
-  template<typename ProductType, typename Dest>
-  static void run(const ProductType& prod, Dest& dest, typename ProductType::Scalar alpha)
-  {
-    typedef typename Dest::Index Index;
-    // TODO makes sure rhs is sequentially stored in memory, otherwise use a temp
-    const Index rows = prod.rows();
-    for(Index i=0; i<rows; ++i)
-      dest.coeffRef(i) += alpha * (prod.lhs().row(i).cwiseProduct(prod.rhs().transpose())).sum();
-  }
-};
-
-} // end namespace internal
-
-/***************************************************************************
-* Implementation of matrix base methods
-***************************************************************************/
-
-/** \returns the matrix product of \c *this and \a other.
-  *
-  * \note If instead of the matrix product you want the coefficient-wise product, see Cwise::operator*().
-  *
-  * \sa lazyProduct(), operator*=(const MatrixBase&), Cwise::operator*()
-  */
-template<typename Derived>
-template<typename OtherDerived>
-inline const typename ProductReturnType<Derived, OtherDerived>::Type
-MatrixBase<Derived>::operator*(const MatrixBase<OtherDerived> &other) const
-{
-  // A note regarding the function declaration: In MSVC, this function will sometimes
-  // not be inlined since DenseStorage is an unwindable object for dynamic
-  // matrices and product types are holding a member to store the result.
-  // Thus it does not help tagging this function with EIGEN_STRONG_INLINE.
-  enum {
-    ProductIsValid =  Derived::ColsAtCompileTime==Dynamic
-                   || OtherDerived::RowsAtCompileTime==Dynamic
-                   || int(Derived::ColsAtCompileTime)==int(OtherDerived::RowsAtCompileTime),
-    AreVectors = Derived::IsVectorAtCompileTime && OtherDerived::IsVectorAtCompileTime,
-    SameSizes = EIGEN_PREDICATE_SAME_MATRIX_SIZE(Derived,OtherDerived)
-  };
-  // note to the lost user:
-  //    * for a dot product use: v1.dot(v2)
-  //    * for a coeff-wise product use: v1.cwiseProduct(v2)
-  EIGEN_STATIC_ASSERT(ProductIsValid || !(AreVectors && SameSizes),
-    INVALID_VECTOR_VECTOR_PRODUCT__IF_YOU_WANTED_A_DOT_OR_COEFF_WISE_PRODUCT_YOU_MUST_USE_THE_EXPLICIT_FUNCTIONS)
-  EIGEN_STATIC_ASSERT(ProductIsValid || !(SameSizes && !AreVectors),
-    INVALID_MATRIX_PRODUCT__IF_YOU_WANTED_A_COEFF_WISE_PRODUCT_YOU_MUST_USE_THE_EXPLICIT_FUNCTION)
-  EIGEN_STATIC_ASSERT(ProductIsValid || SameSizes, INVALID_MATRIX_PRODUCT)
-#ifdef EIGEN_DEBUG_PRODUCT
-  internal::product_type<Derived,OtherDerived>::debug();
-#endif
-  return typename ProductReturnType<Derived,OtherDerived>::Type(derived(), other.derived());
-}
-
-/** \returns an expression of the matrix product of \c *this and \a other without implicit evaluation.
-  *
-  * The returned product will behave like any other expressions: the coefficients of the product will be
-  * computed once at a time as requested. This might be useful in some extremely rare cases when only
-  * a small and no coherent fraction of the result's coefficients have to be computed.
-  *
-  * \warning This version of the matrix product can be much much slower. So use it only if you know
-  * what you are doing and that you measured a true speed improvement.
-  *
-  * \sa operator*(const MatrixBase&)
-  */
-template<typename Derived>
-template<typename OtherDerived>
-const typename LazyProductReturnType<Derived,OtherDerived>::Type
-MatrixBase<Derived>::lazyProduct(const MatrixBase<OtherDerived> &other) const
-{
-  enum {
-    ProductIsValid =  Derived::ColsAtCompileTime==Dynamic
-                   || OtherDerived::RowsAtCompileTime==Dynamic
-                   || int(Derived::ColsAtCompileTime)==int(OtherDerived::RowsAtCompileTime),
-    AreVectors = Derived::IsVectorAtCompileTime && OtherDerived::IsVectorAtCompileTime,
-    SameSizes = EIGEN_PREDICATE_SAME_MATRIX_SIZE(Derived,OtherDerived)
-  };
-  // note to the lost user:
-  //    * for a dot product use: v1.dot(v2)
-  //    * for a coeff-wise product use: v1.cwiseProduct(v2)
-  EIGEN_STATIC_ASSERT(ProductIsValid || !(AreVectors && SameSizes),
-    INVALID_VECTOR_VECTOR_PRODUCT__IF_YOU_WANTED_A_DOT_OR_COEFF_WISE_PRODUCT_YOU_MUST_USE_THE_EXPLICIT_FUNCTIONS)
-  EIGEN_STATIC_ASSERT(ProductIsValid || !(SameSizes && !AreVectors),
-    INVALID_MATRIX_PRODUCT__IF_YOU_WANTED_A_COEFF_WISE_PRODUCT_YOU_MUST_USE_THE_EXPLICIT_FUNCTION)
-  EIGEN_STATIC_ASSERT(ProductIsValid || SameSizes, INVALID_MATRIX_PRODUCT)
-
-  return typename LazyProductReturnType<Derived,OtherDerived>::Type(derived(), other.derived());
-}
-
-} // end namespace Eigen
-
-#endif // EIGEN_PRODUCT_H
--- a/Eigen/src/Core/GenericPacketMath.h
+++ b/Eigen/src/Core/GenericPacketMath.h
@@ -1,7 +1,7 @@
 // This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
+// for linear algebra. Eigen itself is part of the KDE project.
 //
-// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
 // Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
 //
 // Eigen is free software; you can redistribute it and/or
@@ -26,10 +26,6 @@
 #ifndef EIGEN_GENERIC_PACKET_MATH_H
 #define EIGEN_GENERIC_PACKET_MATH_H

-namespace Eigen {
-
-namespace internal {
-
 /** \internal
  * \file GenericPacketMath.h
  *
@@ -38,306 +34,117 @@ namespace internal {
  * of generic vectorized code.
  */

-#ifndef EIGEN_DEBUG_ALIGNED_LOAD
-#define EIGEN_DEBUG_ALIGNED_LOAD
-#endif
-
-#ifndef EIGEN_DEBUG_UNALIGNED_LOAD
-#define EIGEN_DEBUG_UNALIGNED_LOAD
-#endif
-
-#ifndef EIGEN_DEBUG_ALIGNED_STORE
-#define EIGEN_DEBUG_ALIGNED_STORE
-#endif
-
-#ifndef EIGEN_DEBUG_UNALIGNED_STORE
-#define EIGEN_DEBUG_UNALIGNED_STORE
-#endif
-
-struct default_packet_traits
-{
-  enum {
-    HasAdd    = 1,
-    HasSub    = 1,
-    HasMul    = 1,
-    HasNegate = 1,
-    HasAbs    = 1,
-    HasAbs2   = 1,
-    HasMin    = 1,
-    HasMax    = 1,
-    HasConj   = 1,
-    HasSetLinear = 1,
-
-    HasDiv    = 0,
-    HasSqrt   = 0,
-    HasExp    = 0,
-    HasLog    = 0,
-    HasPow    = 0,
-
-    HasSin    = 0,
-    HasCos    = 0,
-    HasTan    = 0,
-    HasASin   = 0,
-    HasACos   = 0,
-    HasATan   = 0
-  };
-};
-
-template<typename T> struct packet_traits : default_packet_traits
-{
-  typedef T type;
-  enum {
-    Vectorizable = 0,
-    size = 1,
-    AlignedOnScalar = 0
-  };
-  enum {
-    HasAdd    = 0,
-    HasSub    = 0,
-    HasMul    = 0,
-    HasNegate = 0,
-    HasAbs    = 0,
-    HasAbs2   = 0,
-    HasMin    = 0,
-    HasMax    = 0,
-    HasConj   = 0,
-    HasSetLinear = 0
-  };
-};
-
 /** \internal \returns a + b (coeff-wise) */
 template<typename Packet> inline Packet
-padd(const Packet& a,
+ei_padd(const Packet& a,
        const Packet& b) { return a+b; }

 /** \internal \returns a - b (coeff-wise) */
 template<typename Packet> inline Packet
-psub(const Packet& a,
+ei_psub(const Packet& a,
        const Packet& b) { return a-b; }

-/** \internal \returns -a (coeff-wise) */
-template<typename Packet> inline Packet
-pnegate(const Packet& a) { return -a; }
-
-/** \internal \returns conj(a) (coeff-wise) */
-template<typename Packet> inline Packet
-pconj(const Packet& a) { return conj(a); }
-
 /** \internal \returns a * b (coeff-wise) */
 template<typename Packet> inline Packet
-pmul(const Packet& a,
+ei_pmul(const Packet& a,
        const Packet& b) { return a*b; }

 /** \internal \returns a / b (coeff-wise) */
 template<typename Packet> inline Packet
-pdiv(const Packet& a,
+ei_pdiv(const Packet& a,
        const Packet& b) { return a/b; }

 /** \internal \returns the min of \a a and \a b  (coeff-wise) */
 template<typename Packet> inline Packet
-pmin(const Packet& a,
-        const Packet& b) { using std::min; return (min)(a, b); }
+ei_pmin(const Packet& a,
+        const Packet& b) { return std::min(a, b); }

 /** \internal \returns the max of \a a and \a b  (coeff-wise) */
 template<typename Packet> inline Packet
-pmax(const Packet& a,
-        const Packet& b) { using std::max; return (max)(a, b); }
-
-/** \internal \returns the absolute value of \a a */
-template<typename Packet> inline Packet
-pabs(const Packet& a) { return abs(a); }
-
-/** \internal \returns the bitwise and of \a a and \a b */
-template<typename Packet> inline Packet
-pand(const Packet& a, const Packet& b) { return a & b; }
-
-/** \internal \returns the bitwise or of \a a and \a b */
-template<typename Packet> inline Packet
-por(const Packet& a, const Packet& b) { return a | b; }
-
-/** \internal \returns the bitwise xor of \a a and \a b */
-template<typename Packet> inline Packet
-pxor(const Packet& a, const Packet& b) { return a ^ b; }
-
-/** \internal \returns the bitwise andnot of \a a and \a b */
-template<typename Packet> inline Packet
-pandnot(const Packet& a, const Packet& b) { return a & (!b); }
+ei_pmax(const Packet& a,
+        const Packet& b) { return std::max(a, b); }

 /** \internal \returns a packet version of \a *from, from must be 16 bytes aligned */
-template<typename Packet> inline Packet
-pload(const typename unpacket_traits<Packet>::type* from) { return *from; }
+template<typename Scalar> inline typename ei_packet_traits<Scalar>::type
+ei_pload(const Scalar* from) { return *from; }

 /** \internal \returns a packet version of \a *from, (un-aligned load) */
-template<typename Packet> inline Packet
-ploadu(const typename unpacket_traits<Packet>::type* from) { return *from; }
-
-/** \internal \returns a packet with elements of \a *from duplicated, e.g.: (from[0],from[0],from[1],from[1]) */
-template<typename Packet> inline Packet
-ploaddup(const typename unpacket_traits<Packet>::type* from) { return *from; }
+template<typename Scalar> inline typename ei_packet_traits<Scalar>::type
+ei_ploadu(const Scalar* from) { return *from; }

 /** \internal \returns a packet with constant coefficients \a a, e.g.: (a,a,a,a) */
-template<typename Packet> inline Packet
-pset1(const typename unpacket_traits<Packet>::type& a) { return a; }
-
-/** \internal \brief Returns a packet with coefficients (a,a+1,...,a+packet_size-1). */
-template<typename Scalar> inline typename packet_traits<Scalar>::type
-plset(const Scalar& a) { return a; }
+template<typename Scalar> inline typename ei_packet_traits<Scalar>::type
+ei_pset1(const Scalar& a) { return a; }

 /** \internal copy the packet \a from to \a *to, \a to must be 16 bytes aligned */
-template<typename Scalar, typename Packet> inline void pstore(Scalar* to, const Packet& from)
+template<typename Scalar, typename Packet> inline void ei_pstore(Scalar* to, const Packet& from)
 { (*to) = from; }

 /** \internal copy the packet \a from to \a *to, (un-aligned store) */
-template<typename Scalar, typename Packet> inline void pstoreu(Scalar* to, const Packet& from)
+template<typename Scalar, typename Packet> inline void ei_pstoreu(Scalar* to, const Packet& from)
 { (*to) = from; }

-/** \internal tries to do cache prefetching of \a addr */
-template<typename Scalar> inline void prefetch(const Scalar* addr)
-{
-#if !defined(_MSC_VER)
-__builtin_prefetch(addr);
-#endif
-}
-
 /** \internal \returns the first element of a packet */
-template<typename Packet> inline typename unpacket_traits<Packet>::type pfirst(const Packet& a)
+template<typename Packet> inline typename ei_unpacket_traits<Packet>::type ei_pfirst(const Packet& a)
 { return a; }

 /** \internal \returns a packet where the element i contains the sum of the packet of \a vec[i] */
 template<typename Packet> inline Packet
-preduxp(const Packet* vecs) { return vecs[0]; }
+ei_preduxp(const Packet* vecs) { return vecs[0]; }

 /** \internal \returns the sum of the elements of \a a*/
-template<typename Packet> inline typename unpacket_traits<Packet>::type predux(const Packet& a)
+template<typename Packet> inline typename ei_unpacket_traits<Packet>::type ei_predux(const Packet& a)
 { return a; }

-/** \internal \returns the product of the elements of \a a*/
-template<typename Packet> inline typename unpacket_traits<Packet>::type predux_mul(const Packet& a)
-{ return a; }
-
-/** \internal \returns the min of the elements of \a a*/
-template<typename Packet> inline typename unpacket_traits<Packet>::type predux_min(const Packet& a)
-{ return a; }
-
-/** \internal \returns the max of the elements of \a a*/
-template<typename Packet> inline typename unpacket_traits<Packet>::type predux_max(const Packet& a)
-{ return a; }
-
-/** \internal \returns the reversed elements of \a a*/
-template<typename Packet> inline Packet preverse(const Packet& a)
-{ return a; }
-
-
-/** \internal \returns \a a with real and imaginary part flipped (for complex type only) */
-template<typename Packet> inline Packet pcplxflip(const Packet& a)
-{ return Packet(imag(a),real(a)); }
-
-/**************************
-* Special math functions
-***************************/
-
-/** \internal \returns the sine of \a a (coeff-wise) */
-template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
-Packet psin(const Packet& a) { return sin(a); }
-
-/** \internal \returns the cosine of \a a (coeff-wise) */
-template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
-Packet pcos(const Packet& a) { return cos(a); }
-
-/** \internal \returns the tan of \a a (coeff-wise) */
-template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
-Packet ptan(const Packet& a) { return tan(a); }
-
-/** \internal \returns the arc sine of \a a (coeff-wise) */
-template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
-Packet pasin(const Packet& a) { return asin(a); }
-
-/** \internal \returns the arc cosine of \a a (coeff-wise) */
-template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
-Packet pacos(const Packet& a) { return acos(a); }
-
-/** \internal \returns the exp of \a a (coeff-wise) */
-template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
-Packet pexp(const Packet& a) { return exp(a); }
-
-/** \internal \returns the log of \a a (coeff-wise) */
-template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
-Packet plog(const Packet& a) { return log(a); }
-
-/** \internal \returns the square-root of \a a (coeff-wise) */
-template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
-Packet psqrt(const Packet& a) { return sqrt(a); }

 /***************************************************************************
 * The following functions might not have to be overwritten for vectorized types
 ***************************************************************************/

-/** \internal copy a packet with constant coeficient \a a (e.g., [a,a,a,a]) to \a *to. \a to must be 16 bytes aligned */
-// NOTE: this function must really be templated on the packet type (think about different packet types for the same scalar type)
-template<typename Packet>
-inline void pstore1(typename unpacket_traits<Packet>::type* to, const typename unpacket_traits<Packet>::type& a)
-{
-  pstore(to, pset1<Packet>(a));
-}
-
 /** \internal \returns a * b + c (coeff-wise) */
 template<typename Packet> inline Packet
-pmadd(const Packet&  a,
+ei_pmadd(const Packet&  a,
         const Packet&  b,
         const Packet&  c)
-{ return padd(pmul(a, b),c); }
+{ return ei_padd(ei_pmul(a, b),c); }

 /** \internal \returns a packet version of \a *from.
-  * If LoadMode equals #Aligned, \a from must be 16 bytes aligned */
-template<typename Packet, int LoadMode>
-inline Packet ploadt(const typename unpacket_traits<Packet>::type* from)
+  * \If LoadMode equals Aligned, \a from must be 16 bytes aligned */
+template<typename Scalar, int LoadMode>
+inline typename ei_packet_traits<Scalar>::type ei_ploadt(const Scalar* from)
 {
  if(LoadMode == Aligned)
-    return pload<Packet>(from);
+    return ei_pload(from);
  else
-    return ploadu<Packet>(from);
+    return ei_ploadu(from);
 }

 /** \internal copy the packet \a from to \a *to.
-  * If StoreMode equals #Aligned, \a to must be 16 bytes aligned */
+  * If StoreMode equals Aligned, \a to must be 16 bytes aligned */
 template<typename Scalar, typename Packet, int LoadMode>
-inline void pstoret(Scalar* to, const Packet& from)
+inline void ei_pstoret(Scalar* to, const Packet& from)
 {
  if(LoadMode == Aligned)
-    pstore(to, from);
+    ei_pstore(to, from);
  else
-    pstoreu(to, from);
+    ei_pstoreu(to, from);
 }

-/** \internal default implementation of palign() allowing partial specialization */
+/** \internal default implementation of ei_palign() allowing partial specialization */
 template<int Offset,typename PacketType>
-struct palign_impl
+struct ei_palign_impl
 {
  // by default data are aligned, so there is nothing to be done :)
-  static inline void run(PacketType&, const PacketType&) {}
+  inline static void run(PacketType&, const PacketType&) {}
 };

 /** \internal update \a first using the concatenation of the \a Offset last elements
  * of \a first and packet_size minus \a Offset first elements of \a second */
 template<int Offset,typename PacketType>
-inline void palign(PacketType& first, const PacketType& second)
+inline void ei_palign(PacketType& first, const PacketType& second)
 {
-  palign_impl<Offset,PacketType>::run(first,second);
+  ei_palign_impl<Offset,PacketType>::run(first,second);
 }

-/***************************************************************************
-* Fast complex products (GCC generates a function call which is very slow)
-***************************************************************************/
-
-template<> inline std::complex<float> pmul(const std::complex<float>& a, const std::complex<float>& b)
-{ return std::complex<float>(real(a)*real(b) - imag(a)*imag(b), imag(a)*real(b) + real(a)*imag(b)); }
-
-template<> inline std::complex<double> pmul(const std::complex<double>& a, const std::complex<double>& b)
-{ return std::complex<double>(real(a)*real(b) - imag(a)*imag(b), imag(a)*real(b) + real(a)*imag(b)); }
-
-} // end namespace internal
-
-} // end namespace Eigen
-
 #endif // EIGEN_GENERIC_PACKET_MATH_H

--- a/Eigen/src/Core/GlobalFunctions.h
+++ b/Eigen/src/Core/GlobalFunctions.h
@@ -1,118 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2010 Gael Guennebaud <gael.guennebaud@inria.fr>
-// Copyright (C) 2010 Benoit Jacob <jacob.benoit.1@gmail.com>
-//
-// Eigen is free software; you can redistribute it and/or
-// modify it under the terms of the GNU Lesser General Public
-// License as published by the Free Software Foundation; either
-// version 3 of the License, or (at your option) any later version.
-//
-// Alternatively, you can redistribute it and/or
-// modify it under the terms of the GNU General Public License as
-// published by the Free Software Foundation; either version 2 of
-// the License, or (at your option) any later version.
-//
-// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
-// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
-// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU Lesser General Public
-// License and a copy of the GNU General Public License along with
-// Eigen. If not, see <http://www.gnu.org/licenses/>.
-
-#ifndef EIGEN_GLOBAL_FUNCTIONS_H
-#define EIGEN_GLOBAL_FUNCTIONS_H
-
-#define EIGEN_ARRAY_DECLARE_GLOBAL_STD_UNARY(NAME,FUNCTOR) \
-  template<typename Derived> \
-  inline const Eigen::CwiseUnaryOp<Eigen::internal::FUNCTOR<typename Derived::Scalar>, const Derived> \
-  NAME(const Eigen::ArrayBase<Derived>& x) { \
-    return x.derived(); \
-  }
-
-#define EIGEN_ARRAY_DECLARE_GLOBAL_EIGEN_UNARY(NAME,FUNCTOR) \
-  \
-  template<typename Derived> \
-  struct NAME##_retval<ArrayBase<Derived> > \
-  { \
-    typedef const Eigen::CwiseUnaryOp<Eigen::internal::FUNCTOR<typename Derived::Scalar>, const Derived> type; \
-  }; \
-  template<typename Derived> \
-  struct NAME##_impl<ArrayBase<Derived> > \
-  { \
-    static inline typename NAME##_retval<ArrayBase<Derived> >::type run(const Eigen::ArrayBase<Derived>& x) \
-    { \
-      return x.derived(); \
-    } \
-  };
-
-
-namespace std
-{
-  EIGEN_ARRAY_DECLARE_GLOBAL_STD_UNARY(real,scalar_real_op)
-  EIGEN_ARRAY_DECLARE_GLOBAL_STD_UNARY(imag,scalar_imag_op)
-  EIGEN_ARRAY_DECLARE_GLOBAL_STD_UNARY(sin,scalar_sin_op)
-  EIGEN_ARRAY_DECLARE_GLOBAL_STD_UNARY(cos,scalar_cos_op)
-  EIGEN_ARRAY_DECLARE_GLOBAL_STD_UNARY(asin,scalar_asin_op)
-  EIGEN_ARRAY_DECLARE_GLOBAL_STD_UNARY(acos,scalar_acos_op)
-  EIGEN_ARRAY_DECLARE_GLOBAL_STD_UNARY(tan,scalar_tan_op)
-  EIGEN_ARRAY_DECLARE_GLOBAL_STD_UNARY(exp,scalar_exp_op)
-  EIGEN_ARRAY_DECLARE_GLOBAL_STD_UNARY(log,scalar_log_op)
-  EIGEN_ARRAY_DECLARE_GLOBAL_STD_UNARY(abs,scalar_abs_op)
-  EIGEN_ARRAY_DECLARE_GLOBAL_STD_UNARY(sqrt,scalar_sqrt_op)
-
-  template<typename Derived>
-  inline const Eigen::CwiseUnaryOp<Eigen::internal::scalar_pow_op<typename Derived::Scalar>, const Derived>
-  pow(const Eigen::ArrayBase<Derived>& x, const typename Derived::Scalar& exponent) {
-    return x.derived().pow(exponent);
-  }
-
-  template<typename Derived>
-  inline const Eigen::CwiseBinaryOp<Eigen::internal::scalar_binary_pow_op<typename Derived::Scalar, typename Derived::Scalar>, const Derived, const Derived>
-  pow(const Eigen::ArrayBase<Derived>& x, const Eigen::ArrayBase<Derived>& exponents) 
-  {
-    return Eigen::CwiseBinaryOp<Eigen::internal::scalar_binary_pow_op<typename Derived::Scalar, typename Derived::Scalar>, const Derived, const Derived>(
-      x.derived(),
-      exponents.derived()
-    );
-  }
-}
-
-namespace Eigen
-{
-  /**
-  * \brief Component-wise division of a scalar by array elements.
-  **/
-  template <typename Derived>
-  inline const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_mult_op<typename Derived::Scalar>, const Derived>
-    operator/(typename Derived::Scalar s, const Eigen::ArrayBase<Derived>& a)
-  {
-    return Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_mult_op<typename Derived::Scalar>, const Derived>(
-      a.derived(),
-      Eigen::internal::scalar_inverse_mult_op<typename Derived::Scalar>(s)  
-    );
-  }
-
-  namespace internal
-  {
-    EIGEN_ARRAY_DECLARE_GLOBAL_EIGEN_UNARY(real,scalar_real_op)
-    EIGEN_ARRAY_DECLARE_GLOBAL_EIGEN_UNARY(imag,scalar_imag_op)
-    EIGEN_ARRAY_DECLARE_GLOBAL_EIGEN_UNARY(sin,scalar_sin_op)
-    EIGEN_ARRAY_DECLARE_GLOBAL_EIGEN_UNARY(cos,scalar_cos_op)
-    EIGEN_ARRAY_DECLARE_GLOBAL_EIGEN_UNARY(asin,scalar_asin_op)
-    EIGEN_ARRAY_DECLARE_GLOBAL_EIGEN_UNARY(acos,scalar_acos_op)
-    EIGEN_ARRAY_DECLARE_GLOBAL_EIGEN_UNARY(tan,scalar_tan_op)
-    EIGEN_ARRAY_DECLARE_GLOBAL_EIGEN_UNARY(exp,scalar_exp_op)
-    EIGEN_ARRAY_DECLARE_GLOBAL_EIGEN_UNARY(log,scalar_log_op)
-    EIGEN_ARRAY_DECLARE_GLOBAL_EIGEN_UNARY(abs,scalar_abs_op)
-    EIGEN_ARRAY_DECLARE_GLOBAL_EIGEN_UNARY(abs2,scalar_abs2_op)
-    EIGEN_ARRAY_DECLARE_GLOBAL_EIGEN_UNARY(sqrt,scalar_sqrt_op)
-  }
-}
-
-// TODO: cleanly disable those functions that are not supported on Array (internal::real_ref, internal::random, internal::isApprox...)
-
-#endif // EIGEN_GLOBAL_FUNCTIONS_H
--- a/Eigen/src/Core/IO.h
+++ b/Eigen/src/Core/IO.h
@@ -1,8 +1,8 @@
 // This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
+// for linear algebra. Eigen itself is part of the KDE project.
 //
 // Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
-// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
 //
 // Eigen is free software; you can redistribute it and/or
 // modify it under the terms of the GNU Lesser General Public
@@ -26,30 +26,15 @@
 #ifndef EIGEN_IO_H
 #define EIGEN_IO_H

-namespace Eigen { 
-
-enum { DontAlignCols = 1 };
-enum { StreamPrecision = -1,
-       FullPrecision = -2 };
-
-namespace internal {
-template<typename Derived>
-std::ostream & print_matrix(std::ostream & s, const Derived& _m, const IOFormat& fmt);
-}
+enum { Raw, AlignCols };

 /** \class IOFormat
-  * \ingroup Core_Module
  *
  * \brief Stores a set of parameters controlling the way matrices are printed
  *
  * List of available parameters:
-  *  - \b precision number of digits for floating point values, or one of the special constants \c StreamPrecision and \c FullPrecision.
-  *                 The default is the special value \c StreamPrecision which means to use the
-  *                 stream's own precision setting, as set for instance using \c cout.precision(3). The other special value
-  *                 \c FullPrecision means that the number of digits will be computed to match the full precision of each floating-point
-  *                 type.
-  *  - \b flags an OR-ed combination of flags, the default value is 0, the only currently available flag is \c DontAlignCols which
-  *             allows to disable the alignment of columns, resulting in faster code.
+  *  - \b precision number of digits for floating point values
+  *  - \b flags can be either Raw (default) or AlignCols which aligns all the columns
  *  - \b coeffSeparator string printed between two coefficients of the same row
  *  - \b rowSeparator string printed between two rows
  *  - \b rowPrefix string printed at the beginning of each row
@@ -60,12 +45,12 @@ std::ostream & print_matrix(std::ostream & s, const Derived& _m, const IOFormat&
  * Example: \include IOFormat.cpp
  * Output: \verbinclude IOFormat.out
  *
-  * \sa DenseBase::format(), class WithFormat
+  * \sa MatrixBase::format(), class WithFormat
  */
 struct IOFormat
 {
  /** Default contructor, see class IOFormat for the meaning of the parameters */
-  IOFormat(int _precision = StreamPrecision, int _flags = 0,
+  IOFormat(int _precision=4, int _flags=Raw,
    const std::string& _coeffSeparator = " ",
    const std::string& _rowSeparator = "\n", const std::string& _rowPrefix="", const std::string& _rowSuffix="",
    const std::string& _matPrefix="", const std::string& _matSuffix="")
@@ -88,19 +73,18 @@ struct IOFormat
 };

 /** \class WithFormat
-  * \ingroup Core_Module
  *
  * \brief Pseudo expression providing matrix output with given format
  *
  * \param ExpressionType the type of the object on which IO stream operations are performed
  *
  * This class represents an expression with stream operators controlled by a given IOFormat.
-  * It is the return type of DenseBase::format()
+  * It is the return type of MatrixBase::format()
  * and most of the time this is the only way it is used.
  *
  * See class IOFormat for some examples.
  *
-  * \sa DenseBase::format(), class IOFormat
+  * \sa MatrixBase::format(), class IOFormat
  */
 template<typename ExpressionType>
 class WithFormat
@@ -113,7 +97,7 @@ class WithFormat

    friend std::ostream & operator << (std::ostream & s, const WithFormat& wf)
    {
-      return internal::print_matrix(s, wf.m_matrix.eval(), wf.m_format);
+      return ei_print_matrix(s, wf.m_matrix.eval(), wf.m_format);
    }

  protected:
@@ -130,100 +114,41 @@ class WithFormat
  */
 template<typename Derived>
 inline const WithFormat<Derived>
-DenseBase<Derived>::format(const IOFormat& fmt) const
+MatrixBase<Derived>::format(const IOFormat& fmt) const
 {
  return WithFormat<Derived>(derived(), fmt);
 }

-namespace internal {
-
-template<typename Scalar, bool IsInteger>
-struct significant_decimals_default_impl
-{
-  typedef typename NumTraits<Scalar>::Real RealScalar;
-  static inline int run()
-  {
-    using std::ceil;
-    return cast<RealScalar,int>(ceil(-log(NumTraits<RealScalar>::epsilon())/log(RealScalar(10))));
-  }
-};
-
-template<typename Scalar>
-struct significant_decimals_default_impl<Scalar, true>
-{
-  static inline int run()
-  {
-    return 0;
-  }
-};
-
-template<typename Scalar>
-struct significant_decimals_impl
-  : significant_decimals_default_impl<Scalar, NumTraits<Scalar>::IsInteger>
-{};
-
 /** \internal
  * print the matrix \a _m to the output stream \a s using the output format \a fmt */
 template<typename Derived>
-std::ostream & print_matrix(std::ostream & s, const Derived& _m, const IOFormat& fmt)
+std::ostream & ei_print_matrix(std::ostream & s, const Derived& _m, const IOFormat& fmt)
 {
-  if(_m.size() == 0)
-  {
-    s << fmt.matPrefix << fmt.matSuffix;
-    return s;
-  }
-  
-  typename Derived::Nested m = _m;
-  typedef typename Derived::Scalar Scalar;
-  typedef typename Derived::Index Index;
+  const typename Derived::Nested m = _m;

-  Index width = 0;
-
-  std::streamsize explicit_precision;
-  if(fmt.precision == StreamPrecision)
-  {
-    explicit_precision = 0;
-  }
-  else if(fmt.precision == FullPrecision)
-  {
-    if (NumTraits<Scalar>::IsInteger)
-    {
-      explicit_precision = 0;
-    }
-    else
-    {
-      explicit_precision = significant_decimals_impl<Scalar>::run();
-    }
-  }
-  else
-  {
-    explicit_precision = fmt.precision;
-  }
-
-  bool align_cols = !(fmt.flags & DontAlignCols);
-  if(align_cols)
+  int width = 0;
+  if (fmt.flags & AlignCols)
  {
    // compute the largest width
-    for(Index j = 1; j < m.cols(); ++j)
-      for(Index i = 0; i < m.rows(); ++i)
+    for(int j = 1; j < m.cols(); ++j)
+      for(int i = 0; i < m.rows(); ++i)
      {
        std::stringstream sstr;
-        if(explicit_precision) sstr.precision(explicit_precision);
+        sstr.precision(fmt.precision);
        sstr << m.coeff(i,j);
-        width = std::max<Index>(width, Index(sstr.str().length()));
+        width = std::max<int>(width, int(sstr.str().length()));
      }
  }
-  std::streamsize old_precision = 0;
-  if(explicit_precision) old_precision = s.precision(explicit_precision);
+  s.precision(fmt.precision);
  s << fmt.matPrefix;
-  for(Index i = 0; i < m.rows(); ++i)
+  for(int i = 0; i < m.rows(); ++i)
  {
    if (i)
      s << fmt.rowSpacer;
    s << fmt.rowPrefix;
    if(width) s.width(width);
    s << m.coeff(i, 0);
-    for(Index j = 1; j < m.cols(); ++j)
+    for(int j = 1; j < m.cols(); ++j)
    {
      s << fmt.coeffSeparator;
      if (width) s.width(width);
@@ -234,31 +159,26 @@ std::ostream & print_matrix(std::ostream & s, const Derived& _m, const IOFormat&
      s << fmt.rowSeparator;
  }
  s << fmt.matSuffix;
-  if(explicit_precision) s.precision(old_precision);
  return s;
 }

-} // end namespace internal
-
-/** \relates DenseBase
+/** \relates MatrixBase
  *
  * Outputs the matrix, to the given stream.
  *
-  * If you wish to print the matrix with a format different than the default, use DenseBase::format().
+  * If you wish to print the matrix with a format different than the default, use MatrixBase::format().
  *
  * It is also possible to change the default format by defining EIGEN_DEFAULT_IO_FORMAT before including Eigen headers.
  * If not defined, this will automatically be defined to Eigen::IOFormat(), that is the Eigen::IOFormat with default parameters.
  *
-  * \sa DenseBase::format()
+  * \sa MatrixBase::format()
  */
 template<typename Derived>
 std::ostream & operator <<
 (std::ostream & s,
- const DenseBase<Derived> & m)
+ const MatrixBase<Derived> & m)
 {
-  return internal::print_matrix(s, m.eval(), EIGEN_DEFAULT_IO_FORMAT);
+  return ei_print_matrix(s, m.eval(), EIGEN_DEFAULT_IO_FORMAT);
 }

-} // end namespace Eigen
-
 #endif // EIGEN_IO_H
--- a/Eigen/src/Core/Map.h
+++ b/Eigen/src/Core/Map.h
@@ -1,8 +1,8 @@
 // This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
+// for linear algebra. Eigen itself is part of the KDE project.
 //
-// Copyright (C) 2007-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
-// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
 //
 // Eigen is free software; you can redistribute it and/or
 // modify it under the terms of the GNU Lesser General Public
@@ -26,182 +26,86 @@
 #ifndef EIGEN_MAP_H
 #define EIGEN_MAP_H

-namespace Eigen { 
-
 /** \class Map
-  * \ingroup Core_Module
  *
  * \brief A matrix or vector expression mapping an existing array of data.
  *
-  * \tparam PlainObjectType the equivalent matrix type of the mapped data
-  * \tparam MapOptions specifies whether the pointer is \c #Aligned, or \c #Unaligned.
-  *                The default is \c #Unaligned.
-  * \tparam StrideType optionally specifies strides. By default, Map assumes the memory layout
-  *                   of an ordinary, contiguous array. This can be overridden by specifying strides.
-  *                   The type passed here must be a specialization of the Stride template, see examples below.
+  * \param MatrixType the equivalent matrix type of the mapped data
+  * \param _PacketAccess allows to enforce aligned loads and stores if set to ForceAligned.
+  *                      The default is AsRequested. This parameter is internaly used by Eigen
+  *                      in expressions such as \code Map<...>(...) += other; \endcode and most
+  *                      of the time this is the only way it is used.
  *
  * This class represents a matrix or vector expression mapping an existing array of data.
  * It can be used to let Eigen interface without any overhead with non-Eigen data structures,
-  * such as plain C arrays or structures from other libraries. By default, it assumes that the
-  * data is laid out contiguously in memory. You can however override this by explicitly specifying
-  * inner and outer strides.
+  * such as plain C arrays or structures from other libraries.
  *
-  * Here's an example of simply mapping a contiguous array as a \ref TopicStorageOrders "column-major" matrix:
-  * \include Map_simple.cpp
-  * Output: \verbinclude Map_simple.out
+  * This class is the return type of Matrix::Map() but can also be used directly.
  *
-  * If you need to map non-contiguous arrays, you can do so by specifying strides:
-  *
-  * Here's an example of mapping an array as a vector, specifying an inner stride, that is, the pointer
-  * increment between two consecutive coefficients. Here, we're specifying the inner stride as a compile-time
-  * fixed value.
-  * \include Map_inner_stride.cpp
-  * Output: \verbinclude Map_inner_stride.out
-  *
-  * Here's an example of mapping an array while specifying an outer stride. Here, since we're mapping
-  * as a column-major matrix, 'outer stride' means the pointer increment between two consecutive columns.
-  * Here, we're specifying the outer stride as a runtime parameter. Note that here \c OuterStride<> is
-  * a short version of \c OuterStride<Dynamic> because the default template parameter of OuterStride
-  * is  \c Dynamic
-  * \include Map_outer_stride.cpp
-  * Output: \verbinclude Map_outer_stride.out
-  *
-  * For more details and for an example of specifying both an inner and an outer stride, see class Stride.
-  *
-  * \b Tip: to change the array of data mapped by a Map object, you can use the C++
-  * placement new syntax:
-  *
-  * Example: \include Map_placement_new.cpp
-  * Output: \verbinclude Map_placement_new.out
-  *
-  * This class is the return type of PlainObjectBase::Map() but can also be used directly.
-  *
-  * \sa PlainObjectBase::Map(), \ref TopicStorageOrders
+  * \sa Matrix::Map()
  */
-
-namespace internal {
-template<typename PlainObjectType, int MapOptions, typename StrideType>
-struct traits<Map<PlainObjectType, MapOptions, StrideType> >
-  : public traits<PlainObjectType>
+template<typename MatrixType, int _PacketAccess>
+struct ei_traits<Map<MatrixType, _PacketAccess> > : public ei_traits<MatrixType>
 {
-  typedef traits<PlainObjectType> TraitsBase;
-  typedef typename PlainObjectType::Index Index;
-  typedef typename PlainObjectType::Scalar Scalar;
  enum {
-    InnerStrideAtCompileTime = StrideType::InnerStrideAtCompileTime == 0
-                             ? int(PlainObjectType::InnerStrideAtCompileTime)
-                             : int(StrideType::InnerStrideAtCompileTime),
-    OuterStrideAtCompileTime = StrideType::OuterStrideAtCompileTime == 0
-                             ? int(PlainObjectType::OuterStrideAtCompileTime)
-                             : int(StrideType::OuterStrideAtCompileTime),
-    HasNoInnerStride = InnerStrideAtCompileTime == 1,
-    HasNoOuterStride = StrideType::OuterStrideAtCompileTime == 0,
-    HasNoStride = HasNoInnerStride && HasNoOuterStride,
-    IsAligned = bool(EIGEN_ALIGN) && ((int(MapOptions)&Aligned)==Aligned),
-    IsDynamicSize = PlainObjectType::SizeAtCompileTime==Dynamic,
-    KeepsPacketAccess = bool(HasNoInnerStride)
-                        && ( bool(IsDynamicSize)
-                           || HasNoOuterStride
-                           || ( OuterStrideAtCompileTime!=Dynamic
-                           && ((static_cast<int>(sizeof(Scalar))*OuterStrideAtCompileTime)%16)==0 ) ),
-    Flags0 = TraitsBase::Flags & (~NestByRefBit),
-    Flags1 = IsAligned ? (int(Flags0) | AlignedBit) : (int(Flags0) & ~AlignedBit),
-    Flags2 = (bool(HasNoStride) || bool(PlainObjectType::IsVectorAtCompileTime))
-           ? int(Flags1) : int(Flags1 & ~LinearAccessBit),
-    Flags3 = is_lvalue<PlainObjectType>::value ? int(Flags2) : (int(Flags2) & ~LvalueBit),
-    Flags = KeepsPacketAccess ? int(Flags3) : (int(Flags3) & ~PacketAccessBit)
+    PacketAccess = _PacketAccess,
+    Flags = ei_traits<MatrixType>::Flags & ~AlignedBit
  };
-private:
-  enum { Options }; // Expressions don't have Options
+  typedef typename ei_meta_if<int(PacketAccess)==ForceAligned,
+                              Map<MatrixType, _PacketAccess>&,
+                              Map<MatrixType, ForceAligned> >::ret AlignedDerivedType;
 };
-}

-template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
-  : public MapBase<Map<PlainObjectType, MapOptions, StrideType> >
+template<typename MatrixType, int PacketAccess> class Map
+  : public MapBase<Map<MatrixType, PacketAccess> >
 {
  public:

-    typedef MapBase<Map> Base;
-    EIGEN_DENSE_PUBLIC_INTERFACE(Map)
+    _EIGEN_GENERIC_PUBLIC_INTERFACE(Map, MapBase<Map>)
+    typedef typename ei_traits<Map>::AlignedDerivedType AlignedDerivedType;

-    typedef typename Base::PointerType PointerType;
-#if EIGEN2_SUPPORT_STAGE <= STAGE30_FULL_EIGEN3_API
-    typedef const Scalar* PointerArgType;
-    inline PointerType cast_to_pointer_type(PointerArgType ptr) { return const_cast<PointerType>(ptr); }
-#else
-    typedef PointerType PointerArgType;
-    inline PointerType cast_to_pointer_type(PointerArgType ptr) { return ptr; }
-#endif
+    inline int stride() const { return this->innerSize(); }

-    inline Index innerStride() const
+    AlignedDerivedType _convertToForceAligned()
    {
-      return StrideType::InnerStrideAtCompileTime != 0 ? m_stride.inner() : 1;
+      return Map<MatrixType,ForceAligned>(Base::m_data, Base::m_rows.value(), Base::m_cols.value());
    }

-    inline Index outerStride() const
+    inline Map(const Scalar* data) : Base(data) {}
+
+    inline Map(const Scalar* data, int size) : Base(data, size) {}
+
+    inline Map(const Scalar* data, int rows, int cols) : Base(data, rows, cols) {}
+
+    inline void resize(int rows, int cols)
    {
-      return StrideType::OuterStrideAtCompileTime != 0 ? m_stride.outer()
-           : IsVectorAtCompileTime ? this->size()
-           : int(Flags)&RowMajorBit ? this->cols()
-           : this->rows();
+      EIGEN_ONLY_USED_FOR_DEBUG(rows);
+      EIGEN_ONLY_USED_FOR_DEBUG(cols);
+      ei_assert(rows == this->rows());
+      ei_assert(cols == this->cols());
    }

-    /** Constructor in the fixed-size case.
-      *
-      * \param data pointer to the array to map
-      * \param stride optional Stride object, passing the strides.
-      */
-    inline Map(PointerArgType data, const StrideType& stride = StrideType())
-      : Base(cast_to_pointer_type(data)), m_stride(stride)
+    inline void resize(int size)
    {
-      PlainObjectType::Base::_check_template_params();
-    }
-
-    /** Constructor in the dynamic-size vector case.
-      *
-      * \param data pointer to the array to map
-      * \param size the size of the vector expression
-      * \param stride optional Stride object, passing the strides.
-      */
-    inline Map(PointerArgType data, Index size, const StrideType& stride = StrideType())
-      : Base(cast_to_pointer_type(data), size), m_stride(stride)
-    {
-      PlainObjectType::Base::_check_template_params();
-    }
-
-    /** Constructor in the dynamic-size matrix case.
-      *
-      * \param data pointer to the array to map
-      * \param rows the number of rows of the matrix expression
-      * \param cols the number of columns of the matrix expression
-      * \param stride optional Stride object, passing the strides.
-      */
-    inline Map(PointerArgType data, Index rows, Index cols, const StrideType& stride = StrideType())
-      : Base(cast_to_pointer_type(data), rows, cols), m_stride(stride)
-    {
-      PlainObjectType::Base::_check_template_params();
+      EIGEN_STATIC_ASSERT_VECTOR_ONLY(MatrixType)
+      EIGEN_ONLY_USED_FOR_DEBUG(size);
+      ei_assert(size == this->size());
    }

    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(Map)
-
-  protected:
-    StrideType m_stride;
 };

-template<typename _Scalar, int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols>
-inline Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>
-  ::Array(const Scalar *data)
-{
-  this->_set_noalias(Eigen::Map<const Array>(data));
-}
-
-template<typename _Scalar, int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols>
-inline Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>
+/** Constructor copying an existing array of data.
+  * Only for fixed-size matrices and vectors.
+  * \param data The array of data to copy
+  *
+  * \sa Matrix::Map(const Scalar *)
+  */
+template<typename _Scalar, int _Rows, int _Cols, int _StorageOrder, int _MaxRows, int _MaxCols>
+inline Matrix<_Scalar, _Rows, _Cols, _StorageOrder, _MaxRows, _MaxCols>
  ::Matrix(const Scalar *data)
 {
-  this->_set_noalias(Eigen::Map<const Matrix>(data));
+  _set_noalias(Eigen::Map<Matrix>(data));
 }

-} // end namespace Eigen
-
 #endif // EIGEN_MAP_H
--- a/Eigen/src/Core/MapBase.h
+++ b/Eigen/src/Core/MapBase.h
@@ -1,8 +1,8 @@
 // This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
+// for linear algebra. Eigen itself is part of the KDE project.
 //
-// Copyright (C) 2007-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
-// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
 //
 // Eigen is free software; you can redistribute it and/or
 // modify it under the terms of the GNU Lesser General Public
@@ -26,232 +26,177 @@
 #ifndef EIGEN_MAPBASE_H
 #define EIGEN_MAPBASE_H

-#define EIGEN_STATIC_ASSERT_INDEX_BASED_ACCESS(Derived) \
-      EIGEN_STATIC_ASSERT((int(internal::traits<Derived>::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \
-                          YOU_ARE_TRYING_TO_USE_AN_INDEX_BASED_ACCESSOR_ON_AN_EXPRESSION_THAT_DOES_NOT_SUPPORT_THAT)
-
-namespace Eigen { 
-
 /** \class MapBase
-  * \ingroup Core_Module
  *
  * \brief Base class for Map and Block expression with direct access
  *
+  * Expression classes inheriting MapBase must define the constant \c PacketAccess,
+  * and type \c AlignedDerivedType in their respective ei_traits<> specialization structure.
+  * The value of \c PacketAccess can be either:
+  *  - \b ForceAligned which enforces both aligned loads and stores
+  *  - \b AsRequested which is the default behavior
+  * The type \c AlignedDerivedType should correspond to the equivalent expression type
+  * with \c PacketAccess being \c ForceAligned.
+  *
  * \sa class Map, class Block
  */
-template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
-  : public internal::dense_xpr_base<Derived>::type
+template<typename Derived> class MapBase
+  : public MatrixBase<Derived>
 {
  public:

-    typedef typename internal::dense_xpr_base<Derived>::type Base;
+    typedef MatrixBase<Derived> Base;
    enum {
-      RowsAtCompileTime = internal::traits<Derived>::RowsAtCompileTime,
-      ColsAtCompileTime = internal::traits<Derived>::ColsAtCompileTime,
+      IsRowMajor = (int(ei_traits<Derived>::Flags) & RowMajorBit) ? 1 : 0,
+      PacketAccess = ei_traits<Derived>::PacketAccess,
+      RowsAtCompileTime = ei_traits<Derived>::RowsAtCompileTime,
+      ColsAtCompileTime = ei_traits<Derived>::ColsAtCompileTime,
      SizeAtCompileTime = Base::SizeAtCompileTime
    };

-    typedef typename internal::traits<Derived>::StorageKind StorageKind;
-    typedef typename internal::traits<Derived>::Index Index;
-    typedef typename internal::traits<Derived>::Scalar Scalar;
-    typedef typename internal::packet_traits<Scalar>::type PacketScalar;
-    typedef typename NumTraits<Scalar>::Real RealScalar;
-    typedef typename internal::conditional<
-                         bool(internal::is_lvalue<Derived>::value),
-                         Scalar *,
-                         const Scalar *>::type
-                     PointerType;
-
+    typedef typename ei_traits<Derived>::AlignedDerivedType AlignedDerivedType;
+    typedef typename ei_traits<Derived>::Scalar Scalar;
+    typedef typename Base::PacketScalar PacketScalar;
    using Base::derived;
-//    using Base::RowsAtCompileTime;
-//    using Base::ColsAtCompileTime;
-//    using Base::SizeAtCompileTime;
-    using Base::MaxRowsAtCompileTime;
-    using Base::MaxColsAtCompileTime;
-    using Base::MaxSizeAtCompileTime;
-    using Base::IsVectorAtCompileTime;
-    using Base::Flags;
-    using Base::IsRowMajor;

-    using Base::rows;
-    using Base::cols;
-    using Base::size;
-    using Base::coeff;
-    using Base::coeffRef;
-    using Base::lazyAssign;
-    using Base::eval;
+    inline int rows() const { return m_rows.value(); }
+    inline int cols() const { return m_cols.value(); }

-    using Base::innerStride;
-    using Base::outerStride;
-    using Base::rowStride;
-    using Base::colStride;
-
-    // bug 217 - compile error on ICC 11.1
-    using Base::operator=;
-
-    typedef typename Base::CoeffReturnType CoeffReturnType;
-
-    inline Index rows() const { return m_rows.value(); }
-    inline Index cols() const { return m_cols.value(); }
-
-    /** Returns a pointer to the first coefficient of the matrix or vector.
-      *
-      * \note When addressing this data, make sure to honor the strides returned by innerStride() and outerStride().
-      *
-      * \sa innerStride(), outerStride()
-      */
+    inline int stride() const { return derived().stride(); }
    inline const Scalar* data() const { return m_data; }

-    inline const Scalar& coeff(Index row, Index col) const
+    template<bool IsForceAligned,typename Dummy> struct force_aligned_impl {
+      AlignedDerivedType static run(MapBase& a) { return a.derived(); }
+    };
+
+    template<typename Dummy> struct force_aligned_impl<false,Dummy> {
+      AlignedDerivedType static run(MapBase& a) { return a.derived()._convertToForceAligned(); }
+    };
+
+    /** \returns an expression equivalent to \c *this but having the \c PacketAccess constant
+      * set to \c ForceAligned. Must be reimplemented by the derived class. */
+    AlignedDerivedType forceAligned()
    {
-      return m_data[col * colStride() + row * rowStride()];
+      return force_aligned_impl<int(PacketAccess)==int(ForceAligned),Derived>::run(*this);
    }

-    inline const Scalar& coeff(Index index) const
+    inline const Scalar& coeff(int row, int col) const
    {
-      EIGEN_STATIC_ASSERT_INDEX_BASED_ACCESS(Derived)
-      return m_data[index * innerStride()];
+      if(IsRowMajor)
+        return m_data[col + row * stride()];
+      else // column-major
+        return m_data[row + col * stride()];
    }

-    inline const Scalar& coeffRef(Index row, Index col) const
+    inline Scalar& coeffRef(int row, int col)
    {
-      return this->m_data[col * colStride() + row * rowStride()];
+      if(IsRowMajor)
+        return const_cast<Scalar*>(m_data)[col + row * stride()];
+      else // column-major
+        return const_cast<Scalar*>(m_data)[row + col * stride()];
    }

-    inline const Scalar& coeffRef(Index index) const
+    inline const Scalar coeff(int index) const
    {
-      EIGEN_STATIC_ASSERT_INDEX_BASED_ACCESS(Derived)
-      return this->m_data[index * innerStride()];
+      ei_assert(Derived::IsVectorAtCompileTime || (ei_traits<Derived>::Flags & LinearAccessBit));
+      if ( ((RowsAtCompileTime == 1) == IsRowMajor) )
+        return m_data[index];
+      else
+        return m_data[index*stride()];
+    }
+
+    inline Scalar& coeffRef(int index)
+    {
+      ei_assert(Derived::IsVectorAtCompileTime || (ei_traits<Derived>::Flags & LinearAccessBit));
+      if ( ((RowsAtCompileTime == 1) == IsRowMajor) )
+        return const_cast<Scalar*>(m_data)[index];
+      else
+        return const_cast<Scalar*>(m_data)[index*stride()];
    }

    template<int LoadMode>
-    inline PacketScalar packet(Index row, Index col) const
+    inline PacketScalar packet(int row, int col) const
    {
-      return internal::ploadt<PacketScalar, LoadMode>
-               (m_data + (col * colStride() + row * rowStride()));
+      return ei_ploadt<Scalar, int(PacketAccess) == ForceAligned ? Aligned : LoadMode>
+               (m_data + (IsRowMajor ? col + row * stride()
+                                     : row + col * stride()));
    }

    template<int LoadMode>
-    inline PacketScalar packet(Index index) const
+    inline PacketScalar packet(int index) const
    {
-      EIGEN_STATIC_ASSERT_INDEX_BASED_ACCESS(Derived)
-      return internal::ploadt<PacketScalar, LoadMode>(m_data + index * innerStride());
+      return ei_ploadt<Scalar, int(PacketAccess) == ForceAligned ? Aligned : LoadMode>(m_data + index);
    }

-    inline MapBase(PointerType data) : m_data(data), m_rows(RowsAtCompileTime), m_cols(ColsAtCompileTime)
+    template<int StoreMode>
+    inline void writePacket(int row, int col, const PacketScalar& x)
+    {
+      ei_pstoret<Scalar, PacketScalar, int(PacketAccess) == ForceAligned ? Aligned : StoreMode>
+               (const_cast<Scalar*>(m_data) + (IsRowMajor ? col + row * stride()
+                                                          : row + col * stride()), x);
+    }
+
+    template<int StoreMode>
+    inline void writePacket(int index, const PacketScalar& x)
+    {
+      ei_pstoret<Scalar, PacketScalar, int(PacketAccess) == ForceAligned ? Aligned : StoreMode>
+        (const_cast<Scalar*>(m_data) + index, x);
+    }
+
+    inline MapBase(const Scalar* data) : m_data(data), m_rows(RowsAtCompileTime), m_cols(ColsAtCompileTime)
    {
      EIGEN_STATIC_ASSERT_FIXED_SIZE(Derived)
-      checkSanity();
    }

-    inline MapBase(PointerType data, Index size)
+    inline MapBase(const Scalar* data, int size)
            : m_data(data),
-              m_rows(RowsAtCompileTime == Dynamic ? size : Index(RowsAtCompileTime)),
-              m_cols(ColsAtCompileTime == Dynamic ? size : Index(ColsAtCompileTime))
+              m_rows(RowsAtCompileTime == Dynamic ? size : RowsAtCompileTime),
+              m_cols(ColsAtCompileTime == Dynamic ? size : ColsAtCompileTime)
    {
      EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
-      eigen_assert(size >= 0);
-      eigen_assert(data == 0 || SizeAtCompileTime == Dynamic || SizeAtCompileTime == size);
-      checkSanity();
+      ei_assert(size > 0 || data == 0);
+      ei_assert(SizeAtCompileTime == Dynamic || SizeAtCompileTime == size);
    }

-    inline MapBase(PointerType data, Index rows, Index cols)
+    inline MapBase(const Scalar* data, int rows, int cols)
            : m_data(data), m_rows(rows), m_cols(cols)
    {
-      eigen_assert( (data == 0)
-              || (   rows >= 0 && (RowsAtCompileTime == Dynamic || RowsAtCompileTime == rows)
-                  && cols >= 0 && (ColsAtCompileTime == Dynamic || ColsAtCompileTime == cols)));
-      checkSanity();
+      ei_assert( (data == 0)
+              || (   rows > 0 && (RowsAtCompileTime == Dynamic || RowsAtCompileTime == rows)
+                  && cols > 0 && (ColsAtCompileTime == Dynamic || ColsAtCompileTime == cols)));
    }

-  protected:
-
-    void checkSanity() const
-    {
-      EIGEN_STATIC_ASSERT(EIGEN_IMPLIES(internal::traits<Derived>::Flags&PacketAccessBit,
-                                        internal::inner_stride_at_compile_time<Derived>::ret==1),
-                          PACKET_ACCESS_REQUIRES_TO_HAVE_INNER_STRIDE_FIXED_TO_1);
-      eigen_assert(EIGEN_IMPLIES(internal::traits<Derived>::Flags&AlignedBit, (size_t(m_data) % 16) == 0)
-                   && "data is not aligned");
-    }
-
-    PointerType m_data;
-    const internal::variable_if_dynamic<Index, RowsAtCompileTime> m_rows;
-    const internal::variable_if_dynamic<Index, ColsAtCompileTime> m_cols;
-};
-
-template<typename Derived> class MapBase<Derived, WriteAccessors>
-  : public MapBase<Derived, ReadOnlyAccessors>
-{
-  public:
-
-    typedef MapBase<Derived, ReadOnlyAccessors> Base;
-
-    typedef typename Base::Scalar Scalar;
-    typedef typename Base::PacketScalar PacketScalar;
-    typedef typename Base::Index Index;
-    typedef typename Base::PointerType PointerType;
-
-    using Base::derived;
-    using Base::rows;
-    using Base::cols;
-    using Base::size;
-    using Base::coeff;
-    using Base::coeffRef;
-
-    using Base::innerStride;
-    using Base::outerStride;
-    using Base::rowStride;
-    using Base::colStride;
-
-    typedef typename internal::conditional<
-                    internal::is_lvalue<Derived>::value,
-                    Scalar,
-                    const Scalar
-                  >::type ScalarWithConstIfNotLvalue;
-
-    inline const Scalar* data() const { return this->m_data; }
-    inline ScalarWithConstIfNotLvalue* data() { return this->m_data; } // no const-cast here so non-const-correct code will give a compile error
-
-    inline ScalarWithConstIfNotLvalue& coeffRef(Index row, Index col)
-    {
-      return this->m_data[col * colStride() + row * rowStride()];
-    }
-
-    inline ScalarWithConstIfNotLvalue& coeffRef(Index index)
-    {
-      EIGEN_STATIC_ASSERT_INDEX_BASED_ACCESS(Derived)
-      return this->m_data[index * innerStride()];
-    }
-
-    template<int StoreMode>
-    inline void writePacket(Index row, Index col, const PacketScalar& x)
-    {
-      internal::pstoret<Scalar, PacketScalar, StoreMode>
-               (this->m_data + (col * colStride() + row * rowStride()), x);
-    }
-
-    template<int StoreMode>
-    inline void writePacket(Index index, const PacketScalar& x)
-    {
-      EIGEN_STATIC_ASSERT_INDEX_BASED_ACCESS(Derived)
-      internal::pstoret<Scalar, PacketScalar, StoreMode>
-                (this->m_data + index * innerStride(), x);
-    }
-
-    explicit inline MapBase(PointerType data) : Base(data) {}
-    inline MapBase(PointerType data, Index size) : Base(data, size) {}
-    inline MapBase(PointerType data, Index rows, Index cols) : Base(data, rows, cols) {}
-
    Derived& operator=(const MapBase& other)
    {
-      Base::Base::operator=(other);
-      return derived();
+      return Base::operator=(other);
    }

-    using Base::Base::operator=;
+    template<typename OtherDerived>
+    Derived& operator=(const MatrixBase<OtherDerived>& other)
+    {
+      return Base::operator=(other);
+    }
+    
+    using Base::operator*=;
+
+    template<typename OtherDerived>
+    Derived& operator+=(const MatrixBase<OtherDerived>& other)
+    { return derived() = forceAligned() + other; }
+
+    template<typename OtherDerived>
+    Derived& operator-=(const MatrixBase<OtherDerived>& other)
+    { return derived() = forceAligned() - other; }
+
+    Derived& operator*=(const Scalar& other)
+    { return derived() = forceAligned() * other; }
+
+    Derived& operator/=(const Scalar& other)
+    { return derived() = forceAligned() / other; }
+
+  protected:
+    const Scalar* EIGEN_RESTRICT m_data;
+    const ei_int_if_dynamic<RowsAtCompileTime> m_rows;
+    const ei_int_if_dynamic<ColsAtCompileTime> m_cols;
 };

-} // end namespace Eigen
-
 #endif // EIGEN_MAPBASE_H
--- a/Eigen/src/Core/MathFunctions.h
+++ b/Eigen/src/Core/MathFunctions.h
--- a/Eigen/src/Core/Matrix.h
+++ b/Eigen/src/Core/Matrix.h
@@ -1,8 +1,7 @@
 // This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
+// for linear algebra. Eigen itself is part of the KDE project.
 //
-// Copyright (C) 2006-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
-// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
 //
 // Eigen is free software; you can redistribute it and/or
 // modify it under the terms of the GNU Lesser General Public
@@ -26,10 +25,8 @@
 #ifndef EIGEN_MATRIX_H
 #define EIGEN_MATRIX_H

-namespace Eigen {

 /** \class Matrix
-  * \ingroup Core_Module
  *
  * \brief The matrix class, also used for vectors and row-vectors
  *
@@ -39,18 +36,17 @@ namespace Eigen {
  * The %Matrix class encompasses \em both fixed-size and dynamic-size objects (\ref fixedsize "note").
  *
  * The first three template parameters are required:
-  * \tparam _Scalar \anchor matrix_tparam_scalar Numeric type, e.g. float, double, int or std::complex<float>.
-  *                 User defined sclar types are supported as well (see \ref user_defined_scalars "here").
-  * \tparam _Rows Number of rows, or \b Dynamic
-  * \tparam _Cols Number of columns, or \b Dynamic
+  * \param _Scalar Numeric type, i.e. float, double, int
+  * \param _Rows Number of rows, or \b Dynamic
+  * \param _Cols Number of columns, or \b Dynamic
  *
  * The remaining template parameters are optional -- in most cases you don't have to worry about them.
-  * \tparam _Options \anchor matrix_tparam_options A combination of either \b #RowMajor or \b #ColMajor, and of either
-  *                 \b #AutoAlign or \b #DontAlign.
-  *                 The former controls \ref TopicStorageOrders "storage order", and defaults to column-major. The latter controls alignment, which is required
+  * \param _Options A combination of either \b RowMajor or \b ColMajor, and of either
+  *                 \b AutoAlign or \b DontAlign.
+  *                 The former controls storage order, and defaults to column-major. The latter controls alignment, which is required
  *                 for vectorization. It defaults to aligning matrices except for fixed sizes that aren't a multiple of the packet size.
-  * \tparam _MaxRows Maximum number of rows. Defaults to \a _Rows (\ref maxrows "note").
-  * \tparam _MaxCols Maximum number of columns. Defaults to \a _Cols (\ref maxrows "note").
+  * \param _MaxRows Maximum number of rows. Defaults to \a _Rows (\ref maxrows "note").
+  * \param _MaxCols Maximum number of columns. Defaults to \a _Cols (\ref maxrows "note").
  *
  * Eigen provides a number of typedefs covering the usual cases. Here are some examples:
  *
@@ -61,9 +57,6 @@ namespace Eigen {
  * \li \c MatrixXf is a dynamic-size matrix of floats (\c Matrix<float, Dynamic, Dynamic>)
  * \li \c VectorXf is a dynamic-size vector of floats (\c Matrix<float, Dynamic, 1>)
  *
-  * \li \c Matrix2Xf is a partially fixed-size (dynamic-size) matrix of floats (\c Matrix<float, 2, Dynamic>)
-  * \li \c MatrixX3d is a partially dynamic-size (fixed-size) matrix of double (\c Matrix<double, Dynamic, 3>)
-  *
  * See \link matrixtypedefs this page \endlink for a complete list of predefined \em %Matrix and \em Vector typedefs.
  *
  * You can access elements of vectors and matrices using normal subscripting:
@@ -81,9 +74,6 @@ namespace Eigen {
  * m(0, 3) = 3;
  * \endcode
  *
-  * This class can be extended with the help of the plugin mechanism described on the page
-  * \ref TopicCustomizingEigen by defining the preprocessor symbol \c EIGEN_MATRIX_PLUGIN.
-  *
  * <i><b>Some notes:</b></i>
  *
  * <dl>
@@ -112,67 +102,151 @@ namespace Eigen {
  * are the dimensions of the original matrix, while _Rows and _Cols are Dynamic.</dd>
  * </dl>
  *
-  * \see MatrixBase for the majority of the API methods for matrices, \ref TopicClassHierarchy, 
-  * \ref TopicStorageOrders 
+  * \see MatrixBase for the majority of the API methods for matrices
  */
-
-namespace internal {
 template<typename _Scalar, int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols>
-struct traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
+struct ei_traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
 {
  typedef _Scalar Scalar;
-  typedef Dense StorageKind;
-  typedef DenseIndex Index;
-  typedef MatrixXpr XprKind;
  enum {
    RowsAtCompileTime = _Rows,
    ColsAtCompileTime = _Cols,
    MaxRowsAtCompileTime = _MaxRows,
    MaxColsAtCompileTime = _MaxCols,
-    Flags = compute_matrix_flags<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::ret,
-    CoeffReadCost = NumTraits<Scalar>::ReadCost,
-    Options = _Options,
-    InnerStrideAtCompileTime = 1,
-    OuterStrideAtCompileTime = (Options&RowMajor) ? ColsAtCompileTime : RowsAtCompileTime
+    Flags = ei_compute_matrix_flags<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::ret,
+    CoeffReadCost = NumTraits<Scalar>::ReadCost
  };
 };
-}

 template<typename _Scalar, int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols>
 class Matrix
-  : public PlainObjectBase<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
+  : public MatrixBase<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
 {
  public:
-
-    /** \brief Base class typedef.
-      * \sa PlainObjectBase
-      */
-    typedef PlainObjectBase<Matrix> Base;
-
+    EIGEN_GENERIC_PUBLIC_INTERFACE(Matrix)
    enum { Options = _Options };
+    friend class Eigen::Map<Matrix, Unaligned>;
+    typedef class Eigen::Map<Matrix, Unaligned> UnalignedMapType;
+    friend class Eigen::Map<Matrix, Aligned>;
+    typedef class Eigen::Map<Matrix, Aligned> AlignedMapType;

-    EIGEN_DENSE_PUBLIC_INTERFACE(Matrix)
+  protected:
+    ei_matrix_storage<Scalar, MaxSizeAtCompileTime, RowsAtCompileTime, ColsAtCompileTime, Options> m_storage;

-    typedef typename Base::PlainObject PlainObject;
+  public:
+    enum { NeedsToAlign = (Options&AutoAlign) == AutoAlign
+                          && SizeAtCompileTime!=Dynamic && ((sizeof(Scalar)*SizeAtCompileTime)%16)==0 };
+    EIGEN_MAKE_ALIGNED_OPERATOR_NEW_IF(NeedsToAlign)

-    using Base::base;
-    using Base::coeffRef;
+    EIGEN_STRONG_INLINE int rows() const { return m_storage.rows(); }
+    EIGEN_STRONG_INLINE int cols() const { return m_storage.cols(); }

-    /**
-      * \brief Assigns matrices to each other.
-      *
-      * \note This is a special case of the templated operator=. Its purpose is
-      * to prevent a default operator= from hiding the templated operator=.
-      *
-      * \callgraph
-      */
-    EIGEN_STRONG_INLINE Matrix& operator=(const Matrix& other)
+    EIGEN_STRONG_INLINE int stride(void) const
    {
-      return Base::_set(other);
+      if(Flags & RowMajorBit)
+        return m_storage.cols();
+      else
+        return m_storage.rows();
    }

-    /** \internal
-      * \brief Copies the value of the expression \a other into \c *this with automatic resizing.
+    EIGEN_STRONG_INLINE const Scalar& coeff(int row, int col) const
+    {
+      if(Flags & RowMajorBit)
+        return m_storage.data()[col + row * m_storage.cols()];
+      else // column-major
+        return m_storage.data()[row + col * m_storage.rows()];
+    }
+
+    EIGEN_STRONG_INLINE const Scalar& coeff(int index) const
+    {
+      return m_storage.data()[index];
+    }
+
+    EIGEN_STRONG_INLINE Scalar& coeffRef(int row, int col)
+    {
+      if(Flags & RowMajorBit)
+        return m_storage.data()[col + row * m_storage.cols()];
+      else // column-major
+        return m_storage.data()[row + col * m_storage.rows()];
+    }
+
+    EIGEN_STRONG_INLINE Scalar& coeffRef(int index)
+    {
+      return m_storage.data()[index];
+    }
+
+    template<int LoadMode>
+    EIGEN_STRONG_INLINE PacketScalar packet(int row, int col) const
+    {
+      return ei_ploadt<Scalar, LoadMode>
+               (m_storage.data() + (Flags & RowMajorBit
+                                   ? col + row * m_storage.cols()
+                                   : row + col * m_storage.rows()));
+    }
+
+    template<int LoadMode>
+    EIGEN_STRONG_INLINE PacketScalar packet(int index) const
+    {
+      return ei_ploadt<Scalar, LoadMode>(m_storage.data() + index);
+    }
+
+    template<int StoreMode>
+    EIGEN_STRONG_INLINE void writePacket(int row, int col, const PacketScalar& x)
+    {
+      ei_pstoret<Scalar, PacketScalar, StoreMode>
+              (m_storage.data() + (Flags & RowMajorBit
+                                   ? col + row * m_storage.cols()
+                                   : row + col * m_storage.rows()), x);
+    }
+
+    template<int StoreMode>
+    EIGEN_STRONG_INLINE void writePacket(int index, const PacketScalar& x)
+    {
+      ei_pstoret<Scalar, PacketScalar, StoreMode>(m_storage.data() + index, x);
+    }
+
+    /** \returns a const pointer to the data array of this matrix */
+    EIGEN_STRONG_INLINE const Scalar *data() const
+    { return m_storage.data(); }
+
+    /** \returns a pointer to the data array of this matrix */
+    EIGEN_STRONG_INLINE Scalar *data()
+    { return m_storage.data(); }
+
+    /** Resizes \c *this to a \a rows x \a cols matrix.
+      *
+      * Makes sense for dynamic-size matrices only.
+      *
+      * If the current number of coefficients of \c *this exactly matches the
+      * product \a rows * \a cols, then no memory allocation is performed and
+      * the current values are left unchanged. In all other cases, including
+      * shrinking, the data is reallocated and all previous values are lost.
+      *
+      * \sa resize(int) for vectors.
+      */
+    inline void resize(int rows, int cols)
+    {
+      ei_assert((MaxRowsAtCompileTime == Dynamic || MaxRowsAtCompileTime >= rows)
+             && (RowsAtCompileTime == Dynamic || RowsAtCompileTime == rows)
+             && (MaxColsAtCompileTime == Dynamic || MaxColsAtCompileTime >= cols)
+             && (ColsAtCompileTime == Dynamic || ColsAtCompileTime == cols));
+      m_storage.resize(rows * cols, rows, cols);
+    }
+
+    /** Resizes \c *this to a vector of length \a size
+      *
+      * \sa resize(int,int) for the details.
+      */
+    inline void resize(int size)
+    {
+      EIGEN_STATIC_ASSERT_VECTOR_ONLY(Matrix)
+      if(RowsAtCompileTime == 1)
+        m_storage.resize(size, 1, size);
+      else
+        m_storage.resize(size, size, 1);
+    }
+
+    /** Copies the value of the expression \a other into \c *this with automatic resizing.
      *
      * *this might be resized to match the dimensions of \a other. If *this was a null matrix (not already initialized),
      * it will be initialized.
@@ -184,28 +258,23 @@ class Matrix
    template<typename OtherDerived>
    EIGEN_STRONG_INLINE Matrix& operator=(const MatrixBase<OtherDerived>& other)
    {
-      return Base::_set(other);
+      return _set(other);
    }

-    /* Here, doxygen failed to copy the brief information when using \copydoc */
-
-    /**
-      * \brief Copies the generic expression \a other into *this.
-      * \copydetails DenseBase::operator=(const EigenBase<OtherDerived> &other)
+    /** This is a special case of the templated operator=. Its purpose is to
+      * prevent a default operator= from hiding the templated operator=.
      */
-    template<typename OtherDerived>
-    EIGEN_STRONG_INLINE Matrix& operator=(const EigenBase<OtherDerived> &other)
+    EIGEN_STRONG_INLINE Matrix& operator=(const Matrix& other)
    {
-      return Base::operator=(other);
+      return _set(other);
    }

-    template<typename OtherDerived>
-    EIGEN_STRONG_INLINE Matrix& operator=(const ReturnByValue<OtherDerived>& func)
-    {
-      return Base::operator=(func);
-    }
+    EIGEN_INHERIT_ASSIGNMENT_OPERATOR(Matrix, +=)
+    EIGEN_INHERIT_ASSIGNMENT_OPERATOR(Matrix, -=)
+    EIGEN_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Matrix, *=)
+    EIGEN_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Matrix, /=)

-    /** \brief Default constructor.
+    /** Default constructor.
      *
      * For fixed-size matrices, does nothing.
      *
@@ -213,66 +282,89 @@ class Matrix
      * is called a null matrix. This constructor is the unique way to create null matrices: resizing
      * a matrix to 0 is not supported.
      *
-      * \sa resize(Index,Index)
+      * \sa resize(int,int)
      */
-    EIGEN_STRONG_INLINE explicit Matrix() : Base()
+    EIGEN_STRONG_INLINE explicit Matrix() : m_storage()
    {
-      Base::_check_template_params();
-      EIGEN_INITIALIZE_BY_ZERO_IF_THAT_OPTION_IS_ENABLED
+      _check_template_params();
    }

-    // FIXME is it still needed
-    Matrix(internal::constructor_without_unaligned_array_assert)
-      : Base(internal::constructor_without_unaligned_array_assert())
-    { Base::_check_template_params(); EIGEN_INITIALIZE_BY_ZERO_IF_THAT_OPTION_IS_ENABLED }
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+    /** \internal */
+    Matrix(ei_constructor_without_unaligned_array_assert)
+      : m_storage(ei_constructor_without_unaligned_array_assert())
+    {}
+#endif

-    /** \brief Constructs a vector or row-vector with given dimension. \only_for_vectors
+    /** Constructs a vector or row-vector with given dimension. \only_for_vectors
      *
      * Note that this is only useful for dynamic-size vectors. For fixed-size vectors,
      * it is redundant to pass the dimension here, so it makes more sense to use the default
      * constructor Matrix() instead.
      */
-    EIGEN_STRONG_INLINE explicit Matrix(Index dim)
-      : Base(dim, RowsAtCompileTime == 1 ? 1 : dim, ColsAtCompileTime == 1 ? 1 : dim)
+    EIGEN_STRONG_INLINE explicit Matrix(int dim)
+      : m_storage(dim, RowsAtCompileTime == 1 ? 1 : dim, ColsAtCompileTime == 1 ? 1 : dim)
    {
-      Base::_check_template_params();
+      _check_template_params();
      EIGEN_STATIC_ASSERT_VECTOR_ONLY(Matrix)
-      eigen_assert(dim >= 0);
-      eigen_assert(SizeAtCompileTime == Dynamic || SizeAtCompileTime == dim);
-      EIGEN_INITIALIZE_BY_ZERO_IF_THAT_OPTION_IS_ENABLED
+      ei_assert(dim > 0);
+      ei_assert(SizeAtCompileTime == Dynamic || SizeAtCompileTime == dim);
    }

-    #ifndef EIGEN_PARSED_BY_DOXYGEN
-    template<typename T0, typename T1>
-    EIGEN_STRONG_INLINE Matrix(const T0& x, const T1& y)
-    {
-      Base::_check_template_params();
-      Base::template _init2<T0,T1>(x, y);
-    }
-    #else
-    /** \brief Constructs an uninitialized matrix with \a rows rows and \a cols columns.
+    /** This constructor has two very different behaviors, depending on the type of *this.
      *
-      * This is useful for dynamic-size matrices. For fixed-size matrices,
-      * it is redundant to pass these parameters, so one should use the default constructor
-      * Matrix() instead. */
-    Matrix(Index rows, Index cols);
-    /** \brief Constructs an initialized 2D vector with given coefficients */
-    Matrix(const Scalar& x, const Scalar& y);
-    #endif
-
-    /** \brief Constructs an initialized 3D vector with given coefficients */
+      * \li When Matrix is a fixed-size vector type of size 2, this constructor constructs
+      *     an initialized vector. The parameters \a x, \a y are copied into the first and second
+      *     coords of the vector respectively.
+      * \li Otherwise, this constructor constructs an uninitialized matrix with \a x rows and
+      *     \a y columns. This is useful for dynamic-size matrices. For fixed-size matrices,
+      *     it is redundant to pass these parameters, so one should use the default constructor
+      *     Matrix() instead.
+      */
+    EIGEN_STRONG_INLINE Matrix(int x, int y) : m_storage(x*y, x, y)
+    {
+      _check_template_params();
+      if((RowsAtCompileTime == 1 && ColsAtCompileTime == 2)
+      || (RowsAtCompileTime == 2 && ColsAtCompileTime == 1))
+      {
+        m_storage.data()[0] = Scalar(x);
+        m_storage.data()[1] = Scalar(y);
+      }
+      else
+      {
+        ei_assert(x > 0 && (RowsAtCompileTime == Dynamic || RowsAtCompileTime == x)
+               && y > 0 && (ColsAtCompileTime == Dynamic || ColsAtCompileTime == y));
+      }
+    }
+    /** constructs an initialized 2D vector with given coefficients */
+    EIGEN_STRONG_INLINE Matrix(const float& x, const float& y)
+    {
+      _check_template_params();
+      EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(Matrix, 2)
+      m_storage.data()[0] = x;
+      m_storage.data()[1] = y;
+    }
+    /** constructs an initialized 2D vector with given coefficients */
+    EIGEN_STRONG_INLINE Matrix(const double& x, const double& y)
+    {
+      _check_template_params();
+      EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(Matrix, 2)
+      m_storage.data()[0] = x;
+      m_storage.data()[1] = y;
+    }
+    /** constructs an initialized 3D vector with given coefficients */
    EIGEN_STRONG_INLINE Matrix(const Scalar& x, const Scalar& y, const Scalar& z)
    {
-      Base::_check_template_params();
+      _check_template_params();
      EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(Matrix, 3)
      m_storage.data()[0] = x;
      m_storage.data()[1] = y;
      m_storage.data()[2] = z;
    }
-    /** \brief Constructs an initialized 4D vector with given coefficients */
+    /** constructs an initialized 4D vector with given coefficients */
    EIGEN_STRONG_INLINE Matrix(const Scalar& x, const Scalar& y, const Scalar& z, const Scalar& w)
    {
-      Base::_check_template_params();
+      _check_template_params();
      EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(Matrix, 4)
      m_storage.data()[0] = x;
      m_storage.data()[1] = y;
@@ -282,84 +374,147 @@ class Matrix

    explicit Matrix(const Scalar *data);

-    /** \brief Constructor copying the value of the expression \a other */
+    /** Constructor copying the value of the expression \a other */
    template<typename OtherDerived>
    EIGEN_STRONG_INLINE Matrix(const MatrixBase<OtherDerived>& other)
-             : Base(other.rows() * other.cols(), other.rows(), other.cols())
+             : m_storage(other.rows() * other.cols(), other.rows(), other.cols())
    {
-      // This test resides here, to bring the error messages closer to the user. Normally, these checks
-      // are performed deeply within the library, thus causing long and scary error traces.
-      EIGEN_STATIC_ASSERT((internal::is_same<Scalar, typename OtherDerived::Scalar>::value),
-        YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
-
-      Base::_check_template_params();
-      Base::_set_noalias(other);
+      _check_template_params();
+      _set_noalias(other);
    }
-    /** \brief Copy constructor */
+    /** Copy constructor */
    EIGEN_STRONG_INLINE Matrix(const Matrix& other)
-            : Base(other.rows() * other.cols(), other.rows(), other.cols())
+            : Base(), m_storage(other.rows() * other.cols(), other.rows(), other.cols())
    {
-      Base::_check_template_params();
-      Base::_set_noalias(other);
-    }
-    /** \brief Copy constructor with in-place evaluation */
-    template<typename OtherDerived>
-    EIGEN_STRONG_INLINE Matrix(const ReturnByValue<OtherDerived>& other)
-    {
-      Base::_check_template_params();
-      Base::resize(other.rows(), other.cols());
-      other.evalTo(*this);
+      _check_template_params();
+      _set_noalias(other);
    }
+    /** Destructor */
+    inline ~Matrix() {}

-    /** \brief Copy constructor for generic expressions.
-      * \sa MatrixBase::operator=(const EigenBase<OtherDerived>&)
+    /** Override MatrixBase::swap() since for dynamic-sized matrices of same type it is enough to swap the
+      * data pointers.
      */
-    template<typename OtherDerived>
-    EIGEN_STRONG_INLINE Matrix(const EigenBase<OtherDerived> &other)
-      : Base(other.derived().rows() * other.derived().cols(), other.derived().rows(), other.derived().cols())
+    inline void swap(Matrix& other)
    {
-      Base::_check_template_params();
-      Base::resize(other.rows(), other.cols());
-      // FIXME/CHECK: isn't *this = other.derived() more efficient. it allows to
-      //              go for pure _set() implementations, right?
-      *this = other;
+      if (Base::SizeAtCompileTime==Dynamic)
+        m_storage.swap(other.m_storage);
+      else
+        this->Base::swap(other);
    }

-    /** \internal
-      * \brief Override MatrixBase::swap() since for dynamic-sized matrices
-      * of same type it is enough to swap the data pointers.
+    /** \name Map
+      * These are convenience functions returning Map objects. The Map() static functions return unaligned Map objects,
+      * while the AlignedMap() functions return aligned Map objects and thus should be called only with 16-byte-aligned
+      * \a data pointers.
+      *
+      * \see class Map
      */
-    template<typename OtherDerived>
-    void swap(MatrixBase<OtherDerived> const & other)
-    { this->_swap(other.derived()); }
+    //@{
+    inline static const UnalignedMapType Map(const Scalar* data)
+    { return UnalignedMapType(data); }
+    inline static UnalignedMapType Map(Scalar* data)
+    { return UnalignedMapType(data); }
+    inline static const UnalignedMapType Map(const Scalar* data, int size)
+    { return UnalignedMapType(data, size); }
+    inline static UnalignedMapType Map(Scalar* data, int size)
+    { return UnalignedMapType(data, size); }
+    inline static const UnalignedMapType Map(const Scalar* data, int rows, int cols)
+    { return UnalignedMapType(data, rows, cols); }
+    inline static UnalignedMapType Map(Scalar* data, int rows, int cols)
+    { return UnalignedMapType(data, rows, cols); }

-    inline Index innerStride() const { return 1; }
-    inline Index outerStride() const { return this->innerSize(); }
+    inline static const AlignedMapType MapAligned(const Scalar* data)
+    { return AlignedMapType(data); }
+    inline static AlignedMapType MapAligned(Scalar* data)
+    { return AlignedMapType(data); }
+    inline static const AlignedMapType MapAligned(const Scalar* data, int size)
+    { return AlignedMapType(data, size); }
+    inline static AlignedMapType MapAligned(Scalar* data, int size)
+    { return AlignedMapType(data, size); }
+    inline static const AlignedMapType MapAligned(const Scalar* data, int rows, int cols)
+    { return AlignedMapType(data, rows, cols); }
+    inline static AlignedMapType MapAligned(Scalar* data, int rows, int cols)
+    { return AlignedMapType(data, rows, cols); }
+    //@}

-    /////////// Geometry module ///////////
+/////////// Geometry module ///////////

    template<typename OtherDerived>
    explicit Matrix(const RotationBase<OtherDerived,ColsAtCompileTime>& r);
    template<typename OtherDerived>
    Matrix& operator=(const RotationBase<OtherDerived,ColsAtCompileTime>& r);

-    #ifdef EIGEN2_SUPPORT
-    template<typename OtherDerived>
-    explicit Matrix(const eigen2_RotationBase<OtherDerived,ColsAtCompileTime>& r);
-    template<typename OtherDerived>
-    Matrix& operator=(const eigen2_RotationBase<OtherDerived,ColsAtCompileTime>& r);
-    #endif
-
    // allow to extend Matrix outside Eigen
    #ifdef EIGEN_MATRIX_PLUGIN
    #include EIGEN_MATRIX_PLUGIN
    #endif

-  protected:
-    template <typename Derived, typename OtherDerived, bool IsVector>
-    friend struct internal::conservative_resize_like_impl;
+  private:
+    /** \internal Resizes *this in preparation for assigning \a other to it.
+      * Takes care of doing all the checking that's needed.
+      *
+      * Note that copying a row-vector into a vector (and conversely) is allowed.
+      * The resizing, if any, is then done in the appropriate way so that row-vectors
+      * remain row-vectors and vectors remain vectors.
+      */
+    template<typename OtherDerived>
+    EIGEN_STRONG_INLINE void _resize_to_match(const MatrixBase<OtherDerived>& other)
+    {
+      if(RowsAtCompileTime == 1)
+      {
+        ei_assert(other.isVector());
+        resize(1, other.size());
+      }
+      else if(ColsAtCompileTime == 1)
+      {
+        ei_assert(other.isVector());
+        resize(other.size(), 1);
+      }
+      else resize(other.rows(), other.cols());
+    }

-    using Base::m_storage;
+    /** \internal Copies the value of the expression \a other into \c *this with automatic resizing.
+      *
+      * *this might be resized to match the dimensions of \a other. If *this was a null matrix (not already initialized),
+      * it will be initialized.
+      *
+      * Note that copying a row-vector into a vector (and conversely) is allowed.
+      * The resizing, if any, is then done in the appropriate way so that row-vectors
+      * remain row-vectors and vectors remain vectors.
+      *
+      * \sa operator=(const MatrixBase<OtherDerived>&), _set_noalias()
+      */
+    template<typename OtherDerived>
+    EIGEN_STRONG_INLINE Matrix& _set(const MatrixBase<OtherDerived>& other)
+    {
+      _resize_to_match(other);
+      return Base::operator=(other);
+    }
+
+    /** \internal Like _set() but additionally makes the assumption that no aliasing effect can happen (which
+      * is the case when creating a new matrix) so one can enforce lazy evaluation.
+      *
+      * \sa operator=(const MatrixBase<OtherDerived>&), _set()
+      */
+    template<typename OtherDerived>
+    EIGEN_STRONG_INLINE Matrix& _set_noalias(const MatrixBase<OtherDerived>& other)
+    {
+      _resize_to_match(other);
+      // the 'false' below means to enforce lazy evaluation. We don't use lazyAssign() because
+      // it wouldn't allow to copy a row-vector into a column-vector.
+      return ei_assign_selector<Matrix,OtherDerived,false>::run(*this, other.derived());
+    }
+
+    static EIGEN_STRONG_INLINE void _check_template_params()
+    {
+        EIGEN_STATIC_ASSERT((_Rows > 0
+                        && _Cols > 0
+                        && _MaxRows <= _Rows
+                        && _MaxCols <= _Cols
+                        && (_Options & (AutoAlign|RowMajor)) == _Options),
+          INVALID_MATRIX_TEMPLATE_PARAMETERS)
+    }
 };

 /** \defgroup matrixtypedefs Global matrix typedefs
@@ -390,20 +545,11 @@ typedef Matrix<Type, Size, 1>    Vector##SizeSuffix##TypeSuffix;  \
 /** \ingroup matrixtypedefs */                                    \
 typedef Matrix<Type, 1, Size>    RowVector##SizeSuffix##TypeSuffix;

-#define EIGEN_MAKE_FIXED_TYPEDEFS(Type, TypeSuffix, Size)         \
-/** \ingroup matrixtypedefs */                                    \
-typedef Matrix<Type, Size, Dynamic> Matrix##Size##X##TypeSuffix;  \
-/** \ingroup matrixtypedefs */                                    \
-typedef Matrix<Type, Dynamic, Size> Matrix##X##Size##TypeSuffix;
-
 #define EIGEN_MAKE_TYPEDEFS_ALL_SIZES(Type, TypeSuffix) \
 EIGEN_MAKE_TYPEDEFS(Type, TypeSuffix, 2, 2) \
 EIGEN_MAKE_TYPEDEFS(Type, TypeSuffix, 3, 3) \
 EIGEN_MAKE_TYPEDEFS(Type, TypeSuffix, 4, 4) \
-EIGEN_MAKE_TYPEDEFS(Type, TypeSuffix, Dynamic, X) \
-EIGEN_MAKE_FIXED_TYPEDEFS(Type, TypeSuffix, 2) \
-EIGEN_MAKE_FIXED_TYPEDEFS(Type, TypeSuffix, 3) \
-EIGEN_MAKE_FIXED_TYPEDEFS(Type, TypeSuffix, 4)
+EIGEN_MAKE_TYPEDEFS(Type, TypeSuffix, Dynamic, X)

 EIGEN_MAKE_TYPEDEFS_ALL_SIZES(int,                  i)
 EIGEN_MAKE_TYPEDEFS_ALL_SIZES(float,                f)
@@ -413,8 +559,25 @@ EIGEN_MAKE_TYPEDEFS_ALL_SIZES(std::complex<double>, cd)

 #undef EIGEN_MAKE_TYPEDEFS_ALL_SIZES
 #undef EIGEN_MAKE_TYPEDEFS
-#undef EIGEN_MAKE_FIXED_TYPEDEFS

-} // end namespace Eigen
+#undef EIGEN_MAKE_TYPEDEFS_LARGE
+
+#define EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, SizeSuffix) \
+using Eigen::Matrix##SizeSuffix##TypeSuffix; \
+using Eigen::Vector##SizeSuffix##TypeSuffix; \
+using Eigen::RowVector##SizeSuffix##TypeSuffix;
+
+#define EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE(TypeSuffix) \
+EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, 2) \
+EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, 3) \
+EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, 4) \
+EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, X) \
+
+#define EIGEN_USING_MATRIX_TYPEDEFS \
+EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE(i) \
+EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE(f) \
+EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE(d) \
+EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE(cf) \
+EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE(cd)

 #endif // EIGEN_MATRIX_H
--- a/Eigen/src/Core/MatrixBase.h
+++ b/Eigen/src/Core/MatrixBase.h
@@ -1,8 +1,8 @@
 // This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
+// for linear algebra. Eigen itself is part of the KDE project.
 //
-// Copyright (C) 2006-2009 Benoit Jacob <jacob.benoit.1@gmail.com>
-// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
 //
 // Eigen is free software; you can redistribute it and/or
 // modify it under the terms of the GNU Lesser General Public
@@ -26,21 +26,17 @@
 #ifndef EIGEN_MATRIXBASE_H
 #define EIGEN_MATRIXBASE_H

-namespace Eigen {
-
 /** \class MatrixBase
-  * \ingroup Core_Module
  *
-  * \brief Base class for all dense matrices, vectors, and expressions
+  * \brief Base class for all matrices, vectors, and expressions
  *
-  * This class is the base that is inherited by all matrix, vector, and related expression
-  * types. Most of the Eigen API is contained in this class, and its base classes. Other important
-  * classes for the Eigen API are Matrix, and VectorwiseOp.
+  * This class is the base that is inherited by all matrix, vector, and expression
+  * types. Most of the Eigen API is contained in this class. Other important classes for
+  * the Eigen API are Matrix, Cwise, and PartialRedux.
  *
-  * Note that some methods are defined in other modules such as the \ref LU_Module LU module
-  * for all functions related to matrix inversions.
+  * Note that some methods are defined in the \ref Array module.
  *
-  * \tparam Derived is the derived type, e.g. a matrix type, or an expression, etc.
+  * \param Derived is the derived type, e.g. a matrix type, or an expression, etc.
  *
  * When writing a function taking Eigen objects as argument, if you want your function
  * to take as argument any matrix, vector, or expression, just let it take a
@@ -55,472 +51,578 @@ namespace Eigen {
    }
  * \endcode
  *
-  * This class can be extended with the help of the plugin mechanism described on the page
-  * \ref TopicCustomizingEigen by defining the preprocessor symbol \c EIGEN_MATRIXBASE_PLUGIN.
-  *
-  * \sa \ref TopicClassHierarchy
  */
 template<typename Derived> class MatrixBase
-  : public DenseBase<Derived>
 {
  public:
+
 #ifndef EIGEN_PARSED_BY_DOXYGEN
-    typedef MatrixBase StorageBaseType;
-    typedef typename internal::traits<Derived>::StorageKind StorageKind;
-    typedef typename internal::traits<Derived>::Index Index;
-    typedef typename internal::traits<Derived>::Scalar Scalar;
-    typedef typename internal::packet_traits<Scalar>::type PacketScalar;
+    class InnerIterator;
+
+    typedef typename ei_traits<Derived>::Scalar Scalar;
+    typedef typename ei_packet_traits<Scalar>::type PacketScalar;
+#endif // not EIGEN_PARSED_BY_DOXYGEN
+
+    enum {
+
+      RowsAtCompileTime = ei_traits<Derived>::RowsAtCompileTime,
+        /**< The number of rows at compile-time. This is just a copy of the value provided
+          * by the \a Derived type. If a value is not known at compile-time,
+          * it is set to the \a Dynamic constant.
+          * \sa MatrixBase::rows(), MatrixBase::cols(), ColsAtCompileTime, SizeAtCompileTime */
+
+      ColsAtCompileTime = ei_traits<Derived>::ColsAtCompileTime,
+        /**< The number of columns at compile-time. This is just a copy of the value provided
+          * by the \a Derived type. If a value is not known at compile-time,
+          * it is set to the \a Dynamic constant.
+          * \sa MatrixBase::rows(), MatrixBase::cols(), RowsAtCompileTime, SizeAtCompileTime */
+
+
+      SizeAtCompileTime = (ei_size_at_compile_time<ei_traits<Derived>::RowsAtCompileTime,
+                                                   ei_traits<Derived>::ColsAtCompileTime>::ret),
+        /**< This is equal to the number of coefficients, i.e. the number of
+          * rows times the number of columns, or to \a Dynamic if this is not
+          * known at compile-time. \sa RowsAtCompileTime, ColsAtCompileTime */
+
+      MaxRowsAtCompileTime = ei_traits<Derived>::MaxRowsAtCompileTime,
+        /**< This value is equal to the maximum possible number of rows that this expression
+          * might have. If this expression might have an arbitrarily high number of rows,
+          * this value is set to \a Dynamic.
+          *
+          * This value is useful to know when evaluating an expression, in order to determine
+          * whether it is possible to avoid doing a dynamic memory allocation.
+          *
+          * \sa RowsAtCompileTime, MaxColsAtCompileTime, MaxSizeAtCompileTime
+          */
+
+      MaxColsAtCompileTime = ei_traits<Derived>::MaxColsAtCompileTime,
+        /**< This value is equal to the maximum possible number of columns that this expression
+          * might have. If this expression might have an arbitrarily high number of columns,
+          * this value is set to \a Dynamic.
+          *
+          * This value is useful to know when evaluating an expression, in order to determine
+          * whether it is possible to avoid doing a dynamic memory allocation.
+          *
+          * \sa ColsAtCompileTime, MaxRowsAtCompileTime, MaxSizeAtCompileTime
+          */
+
+      MaxSizeAtCompileTime = (ei_size_at_compile_time<ei_traits<Derived>::MaxRowsAtCompileTime,
+                                                      ei_traits<Derived>::MaxColsAtCompileTime>::ret),
+        /**< This value is equal to the maximum possible number of coefficients that this expression
+          * might have. If this expression might have an arbitrarily high number of coefficients,
+          * this value is set to \a Dynamic.
+          *
+          * This value is useful to know when evaluating an expression, in order to determine
+          * whether it is possible to avoid doing a dynamic memory allocation.
+          *
+          * \sa SizeAtCompileTime, MaxRowsAtCompileTime, MaxColsAtCompileTime
+          */
+
+      IsVectorAtCompileTime = ei_traits<Derived>::RowsAtCompileTime == 1
+                           || ei_traits<Derived>::ColsAtCompileTime == 1,
+        /**< This is set to true if either the number of rows or the number of
+          * columns is known at compile-time to be equal to 1. Indeed, in that case,
+          * we are dealing with a column-vector (if there is only one column) or with
+          * a row-vector (if there is only one row). */
+
+      Flags = ei_traits<Derived>::Flags,
+        /**< This stores expression \ref flags flags which may or may not be inherited by new expressions
+          * constructed from this one. See the \ref flags "list of flags".
+          */
+
+      CoeffReadCost = ei_traits<Derived>::CoeffReadCost
+        /**< This is a rough measure of how expensive it is to read one coefficient from
+          * this expression.
+          */
+    };
+
+    /** Default constructor. Just checks at compile-time for self-consistency of the flags. */
+    MatrixBase()
+    {
+      ei_assert(ei_are_flags_consistent<Flags>::ret);
+    }
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+    /** This is the "real scalar" type; if the \a Scalar type is already real numbers
+      * (e.g. int, float or double) then \a RealScalar is just the same as \a Scalar. If
+      * \a Scalar is \a std::complex<T> then RealScalar is \a T.
+      *
+      * \sa class NumTraits
+      */
    typedef typename NumTraits<Scalar>::Real RealScalar;

-    typedef DenseBase<Derived> Base;
-    using Base::RowsAtCompileTime;
-    using Base::ColsAtCompileTime;
-    using Base::SizeAtCompileTime;
-    using Base::MaxRowsAtCompileTime;
-    using Base::MaxColsAtCompileTime;
-    using Base::MaxSizeAtCompileTime;
-    using Base::IsVectorAtCompileTime;
-    using Base::Flags;
-    using Base::CoeffReadCost;
-
-    using Base::derived;
-    using Base::const_cast_derived;
-    using Base::rows;
-    using Base::cols;
-    using Base::size;
-    using Base::coeff;
-    using Base::coeffRef;
-    using Base::lazyAssign;
-    using Base::eval;
-    using Base::operator+=;
-    using Base::operator-=;
-    using Base::operator*=;
-    using Base::operator/=;
-
-    typedef typename Base::CoeffReturnType CoeffReturnType;
-    typedef typename Base::ConstTransposeReturnType ConstTransposeReturnType;
-    typedef typename Base::RowXpr RowXpr;
-    typedef typename Base::ColXpr ColXpr;
-#endif // not EIGEN_PARSED_BY_DOXYGEN
-
-
-
-#ifndef EIGEN_PARSED_BY_DOXYGEN
    /** type of the equivalent square matrix */
-    typedef Matrix<Scalar,EIGEN_SIZE_MAX(RowsAtCompileTime,ColsAtCompileTime),
-                          EIGEN_SIZE_MAX(RowsAtCompileTime,ColsAtCompileTime)> SquareMatrixType;
+    typedef Matrix<Scalar,EIGEN_ENUM_MAX(RowsAtCompileTime,ColsAtCompileTime),
+                          EIGEN_ENUM_MAX(RowsAtCompileTime,ColsAtCompileTime)> SquareMatrixType;
 #endif // not EIGEN_PARSED_BY_DOXYGEN

-    /** \returns the size of the main diagonal, which is min(rows(),cols()).
+    /** \returns the number of rows. \sa cols(), RowsAtCompileTime */
+    inline int rows() const { return derived().rows(); }
+    /** \returns the number of columns. \sa rows(), ColsAtCompileTime*/
+    inline int cols() const { return derived().cols(); }
+    /** \returns the number of coefficients, which is \a rows()*cols().
      * \sa rows(), cols(), SizeAtCompileTime. */
-    inline Index diagonalSize() const { return (std::min)(rows(),cols()); }
-
-    /** \brief The plain matrix type corresponding to this expression.
-      *
-      * This is not necessarily exactly the return type of eval(). In the case of plain matrices,
-      * the return type of eval() is a const reference to a matrix, not a matrix! It is however guaranteed
-      * that the return type of eval() is either PlainObject or const PlainObject&.
-      */
-    typedef Matrix<typename internal::traits<Derived>::Scalar,
-                internal::traits<Derived>::RowsAtCompileTime,
-                internal::traits<Derived>::ColsAtCompileTime,
-                AutoAlign | (internal::traits<Derived>::Flags&RowMajorBit ? RowMajor : ColMajor),
-                internal::traits<Derived>::MaxRowsAtCompileTime,
-                internal::traits<Derived>::MaxColsAtCompileTime
-          > PlainObject;
+    inline int size() const { return rows() * cols(); }
+    /** \returns the number of nonzero coefficients which is in practice the number
+      * of stored coefficients. */
+    inline int nonZeros() const { return derived.nonZeros(); }
+    /** \returns true if either the number of rows or the number of columns is equal to 1.
+      * In other words, this function returns
+      * \code rows()==1 || cols()==1 \endcode
+      * \sa rows(), cols(), IsVectorAtCompileTime. */
+    inline bool isVector() const { return rows()==1 || cols()==1; }
+    /** \returns the size of the storage major dimension,
+      * i.e., the number of columns for a columns major matrix, and the number of rows otherwise */
+    int outerSize() const { return (int(Flags)&RowMajorBit) ? this->rows() : this->cols(); }
+    /** \returns the size of the inner dimension according to the storage order,
+      * i.e., the number of rows for a columns major matrix, and the number of cols otherwise */
+    int innerSize() const { return (int(Flags)&RowMajorBit) ? this->cols() : this->rows(); }

 #ifndef EIGEN_PARSED_BY_DOXYGEN
+    /** \internal the plain matrix type corresponding to this expression. Note that is not necessarily
+      * exactly the return type of eval(): in the case of plain matrices, the return type of eval() is a const
+      * reference to a matrix, not a matrix! It guaranteed however, that the return type of eval() is either
+      * PlainMatrixType or const PlainMatrixType&.
+      */
+    typedef typename ei_plain_matrix_type<Derived>::type PlainMatrixType;
+    /** \internal the column-major plain matrix type corresponding to this expression. Note that is not necessarily
+      * exactly the return type of eval(): in the case of plain matrices, the return type of eval() is a const
+      * reference to a matrix, not a matrix!
+      * The only difference from PlainMatrixType is that PlainMatrixType_ColMajor is guaranteed to be column-major.
+      */
+    typedef typename ei_plain_matrix_type<Derived>::type PlainMatrixType_ColMajor;
+
    /** \internal Represents a matrix with all coefficients equal to one another*/
-    typedef CwiseNullaryOp<internal::scalar_constant_op<Scalar>,Derived> ConstantReturnType;
+    typedef CwiseNullaryOp<ei_scalar_constant_op<Scalar>,Derived> ConstantReturnType;
+    /** \internal Represents a scalar multiple of a matrix */
+    typedef CwiseUnaryOp<ei_scalar_multiple_op<Scalar>, Derived> ScalarMultipleReturnType;
+    /** \internal Represents a quotient of a matrix by a scalar*/
+    typedef CwiseUnaryOp<ei_scalar_quotient1_op<Scalar>, Derived> ScalarQuotient1ReturnType;
+    /** \internal the return type of MatrixBase::conjugate() */
+    typedef typename ei_meta_if<NumTraits<Scalar>::IsComplex,
+                        const CwiseUnaryOp<ei_scalar_conjugate_op<Scalar>, Derived>,
+                        const Derived&
+                     >::ret ConjugateReturnType;
+    /** \internal the return type of MatrixBase::real() */
+    typedef CwiseUnaryOp<ei_scalar_real_op<Scalar>, Derived> RealReturnType;
+    /** \internal the return type of MatrixBase::imag() */
+    typedef CwiseUnaryOp<ei_scalar_imag_op<Scalar>, Derived> ImagReturnType;
    /** \internal the return type of MatrixBase::adjoint() */
-    typedef typename internal::conditional<NumTraits<Scalar>::IsComplex,
-                        CwiseUnaryOp<internal::scalar_conjugate_op<Scalar>, ConstTransposeReturnType>,
-                        ConstTransposeReturnType
-                     >::type AdjointReturnType;
-    /** \internal Return type of eigenvalues() */
-    typedef Matrix<std::complex<RealScalar>, internal::traits<Derived>::ColsAtCompileTime, 1, ColMajor> EigenvaluesReturnType;
+    typedef Eigen::Transpose<NestByValue<typename ei_cleantype<ConjugateReturnType>::type> >
+            AdjointReturnType;
+    /** \internal the return type of MatrixBase::eigenvalues() */
+    typedef Matrix<typename NumTraits<typename ei_traits<Derived>::Scalar>::Real, ei_traits<Derived>::ColsAtCompileTime, 1> EigenvaluesReturnType;
+    /** \internal expression tyepe of a column */
+    typedef Block<Derived, ei_traits<Derived>::RowsAtCompileTime, 1> ColXpr;
+    /** \internal expression tyepe of a column */
+    typedef Block<Derived, 1, ei_traits<Derived>::ColsAtCompileTime> RowXpr;
    /** \internal the return type of identity */
-    typedef CwiseNullaryOp<internal::scalar_identity_op<Scalar>,Derived> IdentityReturnType;
+    typedef CwiseNullaryOp<ei_scalar_identity_op<Scalar>,Derived> IdentityReturnType;
    /** \internal the return type of unit vectors */
-    typedef Block<const CwiseNullaryOp<internal::scalar_identity_op<Scalar>, SquareMatrixType>,
-                  internal::traits<Derived>::RowsAtCompileTime,
-                  internal::traits<Derived>::ColsAtCompileTime> BasisReturnType;
+    typedef Block<CwiseNullaryOp<ei_scalar_identity_op<Scalar>, SquareMatrixType>,
+                  ei_traits<Derived>::RowsAtCompileTime,
+                  ei_traits<Derived>::ColsAtCompileTime> BasisReturnType;
 #endif // not EIGEN_PARSED_BY_DOXYGEN

-#define EIGEN_CURRENT_STORAGE_BASE_CLASS Eigen::MatrixBase
-#   include "../plugins/CommonCwiseUnaryOps.h"
-#   include "../plugins/CommonCwiseBinaryOps.h"
-#   include "../plugins/MatrixCwiseUnaryOps.h"
-#   include "../plugins/MatrixCwiseBinaryOps.h"
-#   ifdef EIGEN_MATRIXBASE_PLUGIN
-#     include EIGEN_MATRIXBASE_PLUGIN
-#   endif
-#undef EIGEN_CURRENT_STORAGE_BASE_CLASS
+
+    /** Copies \a other into *this. \returns a reference to *this. */
+    template<typename OtherDerived>
+    Derived& operator=(const MatrixBase<OtherDerived>& other);

    /** Special case of the template operator=, in order to prevent the compiler
      * from generating a default operator= (issue hit with g++ 4.1)
      */
-    Derived& operator=(const MatrixBase& other);
-
-    // We cannot inherit here via Base::operator= since it is causing
-    // trouble with MSVC.
-
-    template <typename OtherDerived>
-    Derived& operator=(const DenseBase<OtherDerived>& other);
-
-    template <typename OtherDerived>
-    Derived& operator=(const EigenBase<OtherDerived>& other);
-
-    template<typename OtherDerived>
-    Derived& operator=(const ReturnByValue<OtherDerived>& other);
+    inline Derived& operator=(const MatrixBase& other)
+    {
+      return this->operator=<Derived>(other);
+    }

 #ifndef EIGEN_PARSED_BY_DOXYGEN
-    template<typename ProductDerived, typename Lhs, typename Rhs>
-    Derived& lazyAssign(const ProductBase<ProductDerived, Lhs,Rhs>& other);
+    /** Copies \a other into *this without evaluating other. \returns a reference to *this. */
+    template<typename OtherDerived>
+    Derived& lazyAssign(const MatrixBase<OtherDerived>& other);
+
+    /** Overloaded for cache friendly product evaluation */
+    template<typename Lhs, typename Rhs>
+    Derived& lazyAssign(const Product<Lhs,Rhs,CacheFriendlyProduct>& product);
+
+    /** Overloaded for cache friendly product evaluation */
+    template<typename OtherDerived>
+    Derived& lazyAssign(const Flagged<OtherDerived, 0, EvalBeforeNestingBit | EvalBeforeAssigningBit>& other)
+    { return lazyAssign(other._expression()); }
 #endif // not EIGEN_PARSED_BY_DOXYGEN

+    CommaInitializer<Derived> operator<< (const Scalar& s);
+
+    template<typename OtherDerived>
+    CommaInitializer<Derived> operator<< (const MatrixBase<OtherDerived>& other);
+
+    const Scalar coeff(int row, int col) const;
+    const Scalar operator()(int row, int col) const;
+
+    Scalar& coeffRef(int row, int col);
+    Scalar& operator()(int row, int col);
+
+    const Scalar coeff(int index) const;
+    const Scalar operator[](int index) const;
+    const Scalar operator()(int index) const;
+
+    Scalar& coeffRef(int index);
+    Scalar& operator[](int index);
+    Scalar& operator()(int index);
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+    template<typename OtherDerived>
+    void copyCoeff(int row, int col, const MatrixBase<OtherDerived>& other);
+    template<typename OtherDerived>
+    void copyCoeff(int index, const MatrixBase<OtherDerived>& other);
+    template<typename OtherDerived, int StoreMode, int LoadMode>
+    void copyPacket(int row, int col, const MatrixBase<OtherDerived>& other);
+    template<typename OtherDerived, int StoreMode, int LoadMode>
+    void copyPacket(int index, const MatrixBase<OtherDerived>& other);
+#endif // not EIGEN_PARSED_BY_DOXYGEN
+
+    template<int LoadMode>
+    PacketScalar packet(int row, int col) const;
+    template<int StoreMode>
+    void writePacket(int row, int col, const PacketScalar& x);
+
+    template<int LoadMode>
+    PacketScalar packet(int index) const;
+    template<int StoreMode>
+    void writePacket(int index, const PacketScalar& x);
+
+    const Scalar x() const;
+    const Scalar y() const;
+    const Scalar z() const;
+    const Scalar w() const;
+    Scalar& x();
+    Scalar& y();
+    Scalar& z();
+    Scalar& w();
+
+
+    const CwiseUnaryOp<ei_scalar_opposite_op<typename ei_traits<Derived>::Scalar>,Derived> operator-() const;
+
+    template<typename OtherDerived>
+    const CwiseBinaryOp<ei_scalar_sum_op<typename ei_traits<Derived>::Scalar>, Derived, OtherDerived>
+    operator+(const MatrixBase<OtherDerived> &other) const;
+
+    template<typename OtherDerived>
+    const CwiseBinaryOp<ei_scalar_difference_op<typename ei_traits<Derived>::Scalar>, Derived, OtherDerived>
+    operator-(const MatrixBase<OtherDerived> &other) const;
+
    template<typename OtherDerived>
    Derived& operator+=(const MatrixBase<OtherDerived>& other);
    template<typename OtherDerived>
    Derived& operator-=(const MatrixBase<OtherDerived>& other);

+    template<typename Lhs,typename Rhs>
+    Derived& operator+=(const Flagged<Product<Lhs,Rhs,CacheFriendlyProduct>, 0, EvalBeforeNestingBit | EvalBeforeAssigningBit>& other);
+
+    Derived& operator*=(const Scalar& other);
+    Derived& operator/=(const Scalar& other);
+
+    const ScalarMultipleReturnType operator*(const Scalar& scalar) const;
+    const CwiseUnaryOp<ei_scalar_quotient1_op<typename ei_traits<Derived>::Scalar>, Derived>
+    operator/(const Scalar& scalar) const;
+
+    inline friend const CwiseUnaryOp<ei_scalar_multiple_op<typename ei_traits<Derived>::Scalar>, Derived>
+    operator*(const Scalar& scalar, const MatrixBase& matrix)
+    { return matrix*scalar; }
+
+
    template<typename OtherDerived>
    const typename ProductReturnType<Derived,OtherDerived>::Type
    operator*(const MatrixBase<OtherDerived> &other) const;

    template<typename OtherDerived>
-    const typename LazyProductReturnType<Derived,OtherDerived>::Type
-    lazyProduct(const MatrixBase<OtherDerived> &other) const;
+    Derived& operator*=(const MatrixBase<OtherDerived>& other);

    template<typename OtherDerived>
-    Derived& operator*=(const EigenBase<OtherDerived>& other);
+    typename ei_plain_matrix_type_column_major<OtherDerived>::type
+		solveTriangular(const MatrixBase<OtherDerived>& other) const;

    template<typename OtherDerived>
-    void applyOnTheLeft(const EigenBase<OtherDerived>& other);
+    void solveTriangularInPlace(const MatrixBase<OtherDerived>& other) const;
+

    template<typename OtherDerived>
-    void applyOnTheRight(const EigenBase<OtherDerived>& other);
-
-    template<typename DiagonalDerived>
-    const DiagonalProduct<Derived, DiagonalDerived, OnTheRight>
-    operator*(const DiagonalBase<DiagonalDerived> &diagonal) const;
-
-    template<typename OtherDerived>
-    typename internal::scalar_product_traits<typename internal::traits<Derived>::Scalar,typename internal::traits<OtherDerived>::Scalar>::ReturnType
-    dot(const MatrixBase<OtherDerived>& other) const;
-
-    #ifdef EIGEN2_SUPPORT
-      template<typename OtherDerived>
-      Scalar eigen2_dot(const MatrixBase<OtherDerived>& other) const;
-    #endif
-
+    Scalar dot(const MatrixBase<OtherDerived>& other) const;
    RealScalar squaredNorm() const;
-    RealScalar norm() const;
-    RealScalar stableNorm() const;
-    RealScalar blueNorm() const;
-    RealScalar hypotNorm() const;
-    const PlainObject normalized() const;
+    RealScalar norm()  const;
+    const PlainMatrixType normalized() const;
    void normalize();

+    Eigen::Transpose<Derived> transpose();
+    const Eigen::Transpose<Derived> transpose() const;
+    void transposeInPlace();
    const AdjointReturnType adjoint() const;
-    void adjointInPlace();

-    typedef Diagonal<Derived> DiagonalReturnType;
-    DiagonalReturnType diagonal();
-    typedef const Diagonal<const Derived> ConstDiagonalReturnType;
-    const ConstDiagonalReturnType diagonal() const;

-    template<int Index> struct DiagonalIndexReturnType { typedef Diagonal<Derived,Index> Type; };
-    template<int Index> struct ConstDiagonalIndexReturnType { typedef const Diagonal<const Derived,Index> Type; };
+    RowXpr row(int i);
+    const RowXpr row(int i) const;

-    template<int Index> typename DiagonalIndexReturnType<Index>::Type diagonal();
-    template<int Index> typename ConstDiagonalIndexReturnType<Index>::Type diagonal() const;
+    ColXpr col(int i);
+    const ColXpr col(int i) const;

-    // Note: The "MatrixBase::" prefixes are added to help MSVC9 to match these declarations with the later implementations.
-    // On the other hand they confuse MSVC8...
-    #if (defined _MSC_VER) && (_MSC_VER >= 1500) // 2008 or later
-    typename MatrixBase::template DiagonalIndexReturnType<Dynamic>::Type diagonal(Index index);
-    typename MatrixBase::template ConstDiagonalIndexReturnType<Dynamic>::Type diagonal(Index index) const;
-    #else
-    typename DiagonalIndexReturnType<Dynamic>::Type diagonal(Index index);
-    typename ConstDiagonalIndexReturnType<Dynamic>::Type diagonal(Index index) const;
-    #endif
+    Minor<Derived> minor(int row, int col);
+    const Minor<Derived> minor(int row, int col) const;

-    #ifdef EIGEN2_SUPPORT
-    template<unsigned int Mode> typename internal::eigen2_part_return_type<Derived, Mode>::type part();
-    template<unsigned int Mode> const typename internal::eigen2_part_return_type<Derived, Mode>::type part() const;
-    
-    // huuuge hack. make Eigen2's matrix.part<Diagonal>() work in eigen3. Problem: Diagonal is now a class template instead
-    // of an integer constant. Solution: overload the part() method template wrt template parameters list.
-    template<template<typename T, int n> class U>
-    const DiagonalWrapper<ConstDiagonalReturnType> part() const
-    { return diagonal().asDiagonal(); }
-    #endif // EIGEN2_SUPPORT
+    typename BlockReturnType<Derived>::Type block(int startRow, int startCol, int blockRows, int blockCols);
+    const typename BlockReturnType<Derived>::Type
+    block(int startRow, int startCol, int blockRows, int blockCols) const;

-    template<unsigned int Mode> struct TriangularViewReturnType { typedef TriangularView<Derived, Mode> Type; };
-    template<unsigned int Mode> struct ConstTriangularViewReturnType { typedef const TriangularView<const Derived, Mode> Type; };
+    typename BlockReturnType<Derived>::SubVectorType segment(int start, int size);
+    const typename BlockReturnType<Derived>::SubVectorType segment(int start, int size) const;

-    template<unsigned int Mode> typename TriangularViewReturnType<Mode>::Type triangularView();
-    template<unsigned int Mode> typename ConstTriangularViewReturnType<Mode>::Type triangularView() const;
+    typename BlockReturnType<Derived,Dynamic>::SubVectorType start(int size);
+    const typename BlockReturnType<Derived,Dynamic>::SubVectorType start(int size) const;

-    template<unsigned int UpLo> struct SelfAdjointViewReturnType { typedef SelfAdjointView<Derived, UpLo> Type; };
-    template<unsigned int UpLo> struct ConstSelfAdjointViewReturnType { typedef const SelfAdjointView<const Derived, UpLo> Type; };
+    typename BlockReturnType<Derived,Dynamic>::SubVectorType end(int size);
+    const typename BlockReturnType<Derived,Dynamic>::SubVectorType end(int size) const;

-    template<unsigned int UpLo> typename SelfAdjointViewReturnType<UpLo>::Type selfadjointView();
-    template<unsigned int UpLo> typename ConstSelfAdjointViewReturnType<UpLo>::Type selfadjointView() const;
+    typename BlockReturnType<Derived>::Type corner(CornerType type, int cRows, int cCols);
+    const typename BlockReturnType<Derived>::Type corner(CornerType type, int cRows, int cCols) const;

-    const SparseView<Derived> sparseView(const Scalar& m_reference = Scalar(0),
-                                         typename NumTraits<Scalar>::Real m_epsilon = NumTraits<Scalar>::dummy_precision()) const;
+    template<int BlockRows, int BlockCols>
+    typename BlockReturnType<Derived, BlockRows, BlockCols>::Type block(int startRow, int startCol);
+    template<int BlockRows, int BlockCols>
+    const typename BlockReturnType<Derived, BlockRows, BlockCols>::Type block(int startRow, int startCol) const;
+
+    template<int CRows, int CCols>
+    typename BlockReturnType<Derived, CRows, CCols>::Type corner(CornerType type);
+    template<int CRows, int CCols>
+    const typename BlockReturnType<Derived, CRows, CCols>::Type corner(CornerType type) const;
+
+    template<int Size> typename BlockReturnType<Derived,Size>::SubVectorType start(void);
+    template<int Size> const typename BlockReturnType<Derived,Size>::SubVectorType start() const;
+
+    template<int Size> typename BlockReturnType<Derived,Size>::SubVectorType end();
+    template<int Size> const typename BlockReturnType<Derived,Size>::SubVectorType end() const;
+
+    template<int Size> typename BlockReturnType<Derived,Size>::SubVectorType segment(int start);
+    template<int Size> const typename BlockReturnType<Derived,Size>::SubVectorType segment(int start) const;
+
+    DiagonalCoeffs<Derived> diagonal();
+    const DiagonalCoeffs<Derived> diagonal() const;
+
+    template<unsigned int Mode> Part<Derived, Mode> part();
+    template<unsigned int Mode> const Part<Derived, Mode> part() const;
+
+
+    static const ConstantReturnType
+    Constant(int rows, int cols, const Scalar& value);
+    static const ConstantReturnType
+    Constant(int size, const Scalar& value);
+    static const ConstantReturnType
+    Constant(const Scalar& value);
+
+    template<typename CustomNullaryOp>
+    static const CwiseNullaryOp<CustomNullaryOp, Derived>
+    NullaryExpr(int rows, int cols, const CustomNullaryOp& func);
+    template<typename CustomNullaryOp>
+    static const CwiseNullaryOp<CustomNullaryOp, Derived>
+    NullaryExpr(int size, const CustomNullaryOp& func);
+    template<typename CustomNullaryOp>
+    static const CwiseNullaryOp<CustomNullaryOp, Derived>
+    NullaryExpr(const CustomNullaryOp& func);
+
+    static const ConstantReturnType Zero(int rows, int cols);
+    static const ConstantReturnType Zero(int size);
+    static const ConstantReturnType Zero();
+    static const ConstantReturnType Ones(int rows, int cols);
+    static const ConstantReturnType Ones(int size);
+    static const ConstantReturnType Ones();
    static const IdentityReturnType Identity();
-    static const IdentityReturnType Identity(Index rows, Index cols);
-    static const BasisReturnType Unit(Index size, Index i);
-    static const BasisReturnType Unit(Index i);
+    static const IdentityReturnType Identity(int rows, int cols);
+    static const BasisReturnType Unit(int size, int i);
+    static const BasisReturnType Unit(int i);
    static const BasisReturnType UnitX();
    static const BasisReturnType UnitY();
    static const BasisReturnType UnitZ();
    static const BasisReturnType UnitW();

-    const DiagonalWrapper<const Derived> asDiagonal() const;
-    const PermutationWrapper<const Derived> asPermutation() const;
+    const DiagonalMatrix<Derived> asDiagonal() const;

+    void fill(const Scalar& value);
+    Derived& setConstant(const Scalar& value);
+    Derived& setZero();
+    Derived& setOnes();
+    Derived& setRandom();
    Derived& setIdentity();
-    Derived& setIdentity(Index rows, Index cols);

-    bool isIdentity(RealScalar prec = NumTraits<Scalar>::dummy_precision()) const;
-    bool isDiagonal(RealScalar prec = NumTraits<Scalar>::dummy_precision()) const;

-    bool isUpperTriangular(RealScalar prec = NumTraits<Scalar>::dummy_precision()) const;
-    bool isLowerTriangular(RealScalar prec = NumTraits<Scalar>::dummy_precision()) const;
+    template<typename OtherDerived>
+    bool isApprox(const MatrixBase<OtherDerived>& other,
+                  RealScalar prec = precision<Scalar>()) const;
+    bool isMuchSmallerThan(const RealScalar& other,
+                           RealScalar prec = precision<Scalar>()) const;
+    template<typename OtherDerived>
+    bool isMuchSmallerThan(const MatrixBase<OtherDerived>& other,
+                           RealScalar prec = precision<Scalar>()) const;
+
+    bool isApproxToConstant(const Scalar& value, RealScalar prec = precision<Scalar>()) const;
+    bool isZero(RealScalar prec = precision<Scalar>()) const;
+    bool isOnes(RealScalar prec = precision<Scalar>()) const;
+    bool isIdentity(RealScalar prec = precision<Scalar>()) const;
+    bool isDiagonal(RealScalar prec = precision<Scalar>()) const;
+
+    bool isUpperTriangular(RealScalar prec = precision<Scalar>()) const;
+    bool isLowerTriangular(RealScalar prec = precision<Scalar>()) const;

    template<typename OtherDerived>
    bool isOrthogonal(const MatrixBase<OtherDerived>& other,
-                      RealScalar prec = NumTraits<Scalar>::dummy_precision()) const;
-    bool isUnitary(RealScalar prec = NumTraits<Scalar>::dummy_precision()) const;
+                      RealScalar prec = precision<Scalar>()) const;
+    bool isUnitary(RealScalar prec = precision<Scalar>()) const;

-    /** \returns true if each coefficients of \c *this and \a other are all exactly equal.
-      * \warning When using floating point scalar values you probably should rather use a
-      *          fuzzy comparison such as isApprox()
-      * \sa isApprox(), operator!= */
    template<typename OtherDerived>
    inline bool operator==(const MatrixBase<OtherDerived>& other) const
-    { return cwiseEqual(other).all(); }
+    { return (cwise() == other).all(); }

-    /** \returns true if at least one pair of coefficients of \c *this and \a other are not exactly equal to each other.
-      * \warning When using floating point scalar values you probably should rather use a
-      *          fuzzy comparison such as isApprox()
-      * \sa isApprox(), operator== */
    template<typename OtherDerived>
    inline bool operator!=(const MatrixBase<OtherDerived>& other) const
-    { return cwiseNotEqual(other).any(); }
+    { return (cwise() != other).any(); }

-    NoAlias<Derived,Eigen::MatrixBase > noalias();

-    inline const ForceAlignedAccess<Derived> forceAlignedAccess() const;
-    inline ForceAlignedAccess<Derived> forceAlignedAccess();
-    template<bool Enable> inline typename internal::add_const_on_value_type<typename internal::conditional<Enable,ForceAlignedAccess<Derived>,Derived&>::type>::type forceAlignedAccessIf() const;
-    template<bool Enable> inline typename internal::conditional<Enable,ForceAlignedAccess<Derived>,Derived&>::type forceAlignedAccessIf();
+    template<typename NewType>
+    const CwiseUnaryOp<ei_scalar_cast_op<typename ei_traits<Derived>::Scalar, NewType>, Derived> cast() const;

+    /** \returns the matrix or vector obtained by evaluating this expression.
+      *
+      * Notice that in the case of a plain matrix or vector (not an expression) this function just returns
+      * a const reference, in order to avoid a useless copy.
+      */
+    EIGEN_STRONG_INLINE const typename ei_eval<Derived>::type eval() const
+    { return typename ei_eval<Derived>::type(derived()); }
+
+    template<typename OtherDerived>
+    void swap(const MatrixBase<OtherDerived>& other);
+
+    template<unsigned int Added>
+    const Flagged<Derived, Added, 0> marked() const;
+    const Flagged<Derived, 0, EvalBeforeNestingBit | EvalBeforeAssigningBit> lazy() const;
+
+    /** \returns number of elements to skip to pass from one row (resp. column) to another
+      * for a row-major (resp. column-major) matrix.
+      * Combined with coeffRef() and the \ref flags flags, it allows a direct access to the data
+      * of the underlying matrix.
+      */
+    inline int stride(void) const { return derived().stride(); }
+
+    inline const NestByValue<Derived> nestByValue() const;
+
+
+    ConjugateReturnType conjugate() const;
+    const RealReturnType real() const;
+    const ImagReturnType imag() const;
+
+    template<typename CustomUnaryOp>
+    const CwiseUnaryOp<CustomUnaryOp, Derived> unaryExpr(const CustomUnaryOp& func = CustomUnaryOp()) const;
+
+    template<typename CustomBinaryOp, typename OtherDerived>
+    const CwiseBinaryOp<CustomBinaryOp, Derived, OtherDerived>
+    binaryExpr(const MatrixBase<OtherDerived> &other, const CustomBinaryOp& func = CustomBinaryOp()) const;
+
+
+    Scalar sum() const;
    Scalar trace() const;

+    typename ei_traits<Derived>::Scalar minCoeff() const;
+    typename ei_traits<Derived>::Scalar maxCoeff() const;
+
+    typename ei_traits<Derived>::Scalar minCoeff(int* row, int* col = 0) const;
+    typename ei_traits<Derived>::Scalar maxCoeff(int* row, int* col = 0) const;
+
+    template<typename BinaryOp>
+    typename ei_result_of<BinaryOp(typename ei_traits<Derived>::Scalar)>::type
+    redux(const BinaryOp& func) const;
+
+    template<typename Visitor>
+    void visit(Visitor& func) const;
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+    inline const Derived& derived() const { return *static_cast<const Derived*>(this); }
+    inline Derived& derived() { return *static_cast<Derived*>(this); }
+    inline Derived& const_cast_derived() const
+    { return *static_cast<Derived*>(const_cast<MatrixBase*>(this)); }
+#endif // not EIGEN_PARSED_BY_DOXYGEN
+
+    const Cwise<Derived> cwise() const;
+    Cwise<Derived> cwise();
+
+    inline const WithFormat<Derived> format(const IOFormat& fmt) const;
+
 /////////// Array module ///////////

+    bool all(void) const;
+    bool any(void) const;
+    int count() const;
+
+    const PartialRedux<Derived,Horizontal> rowwise() const;
+    const PartialRedux<Derived,Vertical> colwise() const;
+
+    static const CwiseNullaryOp<ei_scalar_random_op<Scalar>,Derived> Random(int rows, int cols);
+    static const CwiseNullaryOp<ei_scalar_random_op<Scalar>,Derived> Random(int size);
+    static const CwiseNullaryOp<ei_scalar_random_op<Scalar>,Derived> Random();
+
+    template<typename ThenDerived,typename ElseDerived>
+    const Select<Derived,ThenDerived,ElseDerived>
+    select(const MatrixBase<ThenDerived>& thenMatrix,
+           const MatrixBase<ElseDerived>& elseMatrix) const;
+
+    template<typename ThenDerived>
+    inline const Select<Derived,ThenDerived, NestByValue<typename ThenDerived::ConstantReturnType> >
+    select(const MatrixBase<ThenDerived>& thenMatrix, typename ThenDerived::Scalar elseScalar) const;
+
+    template<typename ElseDerived>
+    inline const Select<Derived, NestByValue<typename ElseDerived::ConstantReturnType>, ElseDerived >
+    select(typename ElseDerived::Scalar thenScalar, const MatrixBase<ElseDerived>& elseMatrix) const;
+
    template<int p> RealScalar lpNorm() const;

-    MatrixBase<Derived>& matrix() { return *this; }
-    const MatrixBase<Derived>& matrix() const { return *this; }
-
-    /** \returns an \link ArrayBase Array \endlink expression of this matrix
-      * \sa ArrayBase::matrix() */
-    ArrayWrapper<Derived> array() { return derived(); }
-    const ArrayWrapper<const Derived> array() const { return derived(); }
-
 /////////// LU module ///////////

-    const FullPivLU<PlainObject> fullPivLu() const;
-    const PartialPivLU<PlainObject> partialPivLu() const;
-
-    #if EIGEN2_SUPPORT_STAGE < STAGE20_RESOLVE_API_CONFLICTS
-    const LU<PlainObject> lu() const;
-    #endif
-
-    #ifdef EIGEN2_SUPPORT
-    const LU<PlainObject> eigen2_lu() const;
-    #endif
-
-    #if EIGEN2_SUPPORT_STAGE > STAGE20_RESOLVE_API_CONFLICTS
-    const PartialPivLU<PlainObject> lu() const;
-    #endif
-    
-    #ifdef EIGEN2_SUPPORT
-    template<typename ResultType>
-    void computeInverse(MatrixBase<ResultType> *result) const {
-      *result = this->inverse();
-    }
-    #endif
-
-    const internal::inverse_impl<Derived> inverse() const;
-    template<typename ResultType>
-    void computeInverseAndDetWithCheck(
-      ResultType& inverse,
-      typename ResultType::Scalar& determinant,
-      bool& invertible,
-      const RealScalar& absDeterminantThreshold = NumTraits<Scalar>::dummy_precision()
-    ) const;
-    template<typename ResultType>
-    void computeInverseWithCheck(
-      ResultType& inverse,
-      bool& invertible,
-      const RealScalar& absDeterminantThreshold = NumTraits<Scalar>::dummy_precision()
-    ) const;
+    const LU<PlainMatrixType> lu() const;
+    const PlainMatrixType inverse() const;
+    void computeInverse(PlainMatrixType *result) const;
    Scalar determinant() const;

 /////////// Cholesky module ///////////

-    const LLT<PlainObject>  llt() const;
-    const LDLT<PlainObject> ldlt() const;
+    const LLT<PlainMatrixType>  llt() const;
+    const LDLT<PlainMatrixType> ldlt() const;

 /////////// QR module ///////////

-    const HouseholderQR<PlainObject> householderQr() const;
-    const ColPivHouseholderQR<PlainObject> colPivHouseholderQr() const;
-    const FullPivHouseholderQR<PlainObject> fullPivHouseholderQr() const;
-    
-    #ifdef EIGEN2_SUPPORT
-    const QR<PlainObject> qr() const;
-    #endif
+    const QR<PlainMatrixType> qr() const;

    EigenvaluesReturnType eigenvalues() const;
    RealScalar operatorNorm() const;

 /////////// SVD module ///////////

-    JacobiSVD<PlainObject> jacobiSvd(unsigned int computationOptions = 0) const;
-
-    #ifdef EIGEN2_SUPPORT
-    SVD<PlainObject> svd() const;
-    #endif
+    SVD<PlainMatrixType> svd() const;

 /////////// Geometry module ///////////

-    #ifndef EIGEN_PARSED_BY_DOXYGEN
-    /// \internal helper struct to form the return type of the cross product
-    template<typename OtherDerived> struct cross_product_return_type {
-      typedef typename internal::scalar_product_traits<typename internal::traits<Derived>::Scalar,typename internal::traits<OtherDerived>::Scalar>::ReturnType Scalar;
-      typedef Matrix<Scalar,MatrixBase::RowsAtCompileTime,MatrixBase::ColsAtCompileTime> type;
-    };
-    #endif // EIGEN_PARSED_BY_DOXYGEN
    template<typename OtherDerived>
-    typename cross_product_return_type<OtherDerived>::type
-    cross(const MatrixBase<OtherDerived>& other) const;
-    template<typename OtherDerived>
-    PlainObject cross3(const MatrixBase<OtherDerived>& other) const;
-    PlainObject unitOrthogonal(void) const;
-    Matrix<Scalar,3,1> eulerAngles(Index a0, Index a1, Index a2) const;
-    
-    #if EIGEN2_SUPPORT_STAGE > STAGE20_RESOLVE_API_CONFLICTS
-    ScalarMultipleReturnType operator*(const UniformScaling<Scalar>& s) const;
-    // put this as separate enum value to work around possible GCC 4.3 bug (?)
-    enum { HomogeneousReturnTypeDirection = ColsAtCompileTime==1?Vertical:Horizontal };
-    typedef Homogeneous<Derived, HomogeneousReturnTypeDirection> HomogeneousReturnType;
-    HomogeneousReturnType homogeneous() const;
+    PlainMatrixType cross(const MatrixBase<OtherDerived>& other) const;
+    PlainMatrixType unitOrthogonal(void) const;
+    Matrix<Scalar,3,1> eulerAngles(int a0, int a1, int a2) const;
+
+/////////// Sparse module ///////////
+
+    // dense = spasre * dense
+    template<typename Derived1, typename Derived2>
+    Derived& lazyAssign(const SparseProduct<Derived1,Derived2,SparseTimeDenseProduct>& product);
+    // dense = dense * spasre
+    template<typename Derived1, typename Derived2>
+    Derived& lazyAssign(const SparseProduct<Derived1,Derived2,DenseTimeSparseProduct>& product);
+
+    #ifdef EIGEN_MATRIXBASE_PLUGIN
+    #include EIGEN_MATRIXBASE_PLUGIN
    #endif
-    
-    enum {
-      SizeMinusOne = SizeAtCompileTime==Dynamic ? Dynamic : SizeAtCompileTime-1
-    };
-    typedef Block<const Derived,
-                  internal::traits<Derived>::ColsAtCompileTime==1 ? SizeMinusOne : 1,
-                  internal::traits<Derived>::ColsAtCompileTime==1 ? 1 : SizeMinusOne> ConstStartMinusOne;
-    typedef CwiseUnaryOp<internal::scalar_quotient1_op<typename internal::traits<Derived>::Scalar>,
-                const ConstStartMinusOne > HNormalizedReturnType;
-
-    const HNormalizedReturnType hnormalized() const;
-
-////////// Householder module ///////////
-
-    void makeHouseholderInPlace(Scalar& tau, RealScalar& beta);
-    template<typename EssentialPart>
-    void makeHouseholder(EssentialPart& essential,
-                         Scalar& tau, RealScalar& beta) const;
-    template<typename EssentialPart>
-    void applyHouseholderOnTheLeft(const EssentialPart& essential,
-                                   const Scalar& tau,
-                                   Scalar* workspace);
-    template<typename EssentialPart>
-    void applyHouseholderOnTheRight(const EssentialPart& essential,
-                                    const Scalar& tau,
-                                    Scalar* workspace);
-
-///////// Jacobi module /////////
-
-    template<typename OtherScalar>
-    void applyOnTheLeft(Index p, Index q, const JacobiRotation<OtherScalar>& j);
-    template<typename OtherScalar>
-    void applyOnTheRight(Index p, Index q, const JacobiRotation<OtherScalar>& j);
-
-///////// MatrixFunctions module /////////
-
-    typedef typename internal::stem_function<Scalar>::type StemFunction;
-    const MatrixExponentialReturnValue<Derived> exp() const;
-    const MatrixFunctionReturnValue<Derived> matrixFunction(StemFunction f) const;
-    const MatrixFunctionReturnValue<Derived> cosh() const;
-    const MatrixFunctionReturnValue<Derived> sinh() const;
-    const MatrixFunctionReturnValue<Derived> cos() const;
-    const MatrixFunctionReturnValue<Derived> sin() const;
-    const MatrixSquareRootReturnValue<Derived> sqrt() const;
-    const MatrixLogarithmReturnValue<Derived> log() const;
-
-#ifdef EIGEN2_SUPPORT
-    template<typename ProductDerived, typename Lhs, typename Rhs>
-    Derived& operator+=(const Flagged<ProductBase<ProductDerived, Lhs,Rhs>, 0,
-                                      EvalBeforeAssigningBit>& other);
-
-    template<typename ProductDerived, typename Lhs, typename Rhs>
-    Derived& operator-=(const Flagged<ProductBase<ProductDerived, Lhs,Rhs>, 0,
-                                      EvalBeforeAssigningBit>& other);
-
-    /** \deprecated because .lazy() is deprecated
-      * Overloaded for cache friendly product evaluation */
-    template<typename OtherDerived>
-    Derived& lazyAssign(const Flagged<OtherDerived, 0, EvalBeforeAssigningBit>& other)
-    { return lazyAssign(other._expression()); }
-
-    template<unsigned int Added>
-    const Flagged<Derived, Added, 0> marked() const;
-    const Flagged<Derived, 0, EvalBeforeAssigningBit> lazy() const;
-
-    inline const Cwise<Derived> cwise() const;
-    inline Cwise<Derived> cwise();
-
-    VectorBlock<Derived> start(Index size);
-    const VectorBlock<const Derived> start(Index size) const;
-    VectorBlock<Derived> end(Index size);
-    const VectorBlock<const Derived> end(Index size) const;
-    template<int Size> VectorBlock<Derived,Size> start();
-    template<int Size> const VectorBlock<const Derived,Size> start() const;
-    template<int Size> VectorBlock<Derived,Size> end();
-    template<int Size> const VectorBlock<const Derived,Size> end() const;
-
-    Minor<Derived> minor(Index row, Index col);
-    const Minor<Derived> minor(Index row, Index col) const;
-#endif
-
-  protected:
-    MatrixBase() : Base() {}
-
-  private:
-    explicit MatrixBase(int);
-    MatrixBase(int,int);
-    template<typename OtherDerived> explicit MatrixBase(const MatrixBase<OtherDerived>&);
-  protected:
-    // mixing arrays and matrices is not legal
-    template<typename OtherDerived> Derived& operator+=(const ArrayBase<OtherDerived>& )
-    {EIGEN_STATIC_ASSERT(std::ptrdiff_t(sizeof(typename OtherDerived::Scalar))==-1,YOU_CANNOT_MIX_ARRAYS_AND_MATRICES); return *this;}
-    // mixing arrays and matrices is not legal
-    template<typename OtherDerived> Derived& operator-=(const ArrayBase<OtherDerived>& )
-    {EIGEN_STATIC_ASSERT(std::ptrdiff_t(sizeof(typename OtherDerived::Scalar))==-1,YOU_CANNOT_MIX_ARRAYS_AND_MATRICES); return *this;}
 };

-} // end namespace Eigen
-
 #endif // EIGEN_MATRIXBASE_H
--- a/Eigen/src/Core/MatrixStorage.h
+++ b/Eigen/src/Core/MatrixStorage.h
@@ -0,0 +1,249 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra. Eigen itself is part of the KDE project.
+//
+// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
+// Copyright (C) 2006-2009 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// Eigen is free software; you can redistribute it and/or
+// modify it under the terms of the GNU Lesser General Public
+// License as published by the Free Software Foundation; either
+// version 3 of the License, or (at your option) any later version.
+//
+// Alternatively, you can redistribute it and/or
+// modify it under the terms of the GNU General Public License as
+// published by the Free Software Foundation; either version 2 of
+// the License, or (at your option) any later version.
+//
+// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
+// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
+// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
+// GNU General Public License for more details.
+//
+// You should have received a copy of the GNU Lesser General Public
+// License and a copy of the GNU General Public License along with
+// Eigen. If not, see <http://www.gnu.org/licenses/>.
+
+#ifndef EIGEN_MATRIXSTORAGE_H
+#define EIGEN_MATRIXSTORAGE_H
+
+struct ei_constructor_without_unaligned_array_assert {};
+
+/** \internal
+  * Static array automatically aligned if the total byte size is a multiple of 16 and the matrix options require auto alignment
+  */
+template <typename T, int Size, int MatrixOptions,
+          bool Align = (MatrixOptions&AutoAlign) && (((Size*sizeof(T))&0xf)==0)
+> struct ei_matrix_array
+{
+  EIGEN_ALIGN_128 T array[Size];
+
+  ei_matrix_array()
+  {
+    #ifndef EIGEN_DISABLE_UNALIGNED_ARRAY_ASSERT
+    ei_assert((reinterpret_cast<size_t>(array) & 0xf) == 0
+              && "this assertion is explained here: http://eigen.tuxfamily.org/dox/UnalignedArrayAssert.html  **** READ THIS WEB PAGE !!! ****");
+    #endif
+  }
+
+  ei_matrix_array(ei_constructor_without_unaligned_array_assert) {}
+};
+
+template <typename T, int Size, int MatrixOptions> struct ei_matrix_array<T,Size,MatrixOptions,false>
+{
+  T array[Size];
+  ei_matrix_array() {}
+  ei_matrix_array(ei_constructor_without_unaligned_array_assert) {}
+};
+
+/** \internal
+  *
+  * \class ei_matrix_storage
+  *
+  * \brief Stores the data of a matrix
+  *
+  * This class stores the data of fixed-size, dynamic-size or mixed matrices
+  * in a way as compact as possible.
+  *
+  * \sa Matrix
+  */
+template<typename T, int Size, int _Rows, int _Cols, int _Options> class ei_matrix_storage;
+
+// purely fixed-size matrix
+template<typename T, int Size, int _Rows, int _Cols, int _Options> class ei_matrix_storage
+{
+    ei_matrix_array<T,Size,_Options> m_data;
+  public:
+    inline explicit ei_matrix_storage() {}
+    inline ei_matrix_storage(ei_constructor_without_unaligned_array_assert)
+      : m_data(ei_constructor_without_unaligned_array_assert()) {}
+    inline ei_matrix_storage(int,int,int) {}
+    inline void swap(ei_matrix_storage& other) { std::swap(m_data,other.m_data); }
+    inline static int rows(void) {return _Rows;}
+    inline static int cols(void) {return _Cols;}
+    inline void resize(int,int,int) {}
+    inline const T *data() const { return m_data.array; }
+    inline T *data() { return m_data.array; }
+};
+
+// dynamic-size matrix with fixed-size storage
+template<typename T, int Size, int _Options> class ei_matrix_storage<T, Size, Dynamic, Dynamic, _Options>
+{
+    ei_matrix_array<T,Size,_Options> m_data;
+    int m_rows;
+    int m_cols;
+  public:
+    inline explicit ei_matrix_storage() : m_rows(0), m_cols(0) {}
+    inline ei_matrix_storage(ei_constructor_without_unaligned_array_assert)
+      : m_data(ei_constructor_without_unaligned_array_assert()), m_rows(0), m_cols(0) {}
+    inline ei_matrix_storage(int, int rows, int cols) : m_rows(rows), m_cols(cols) {}
+    inline ~ei_matrix_storage() {}
+    inline void swap(ei_matrix_storage& other)
+    { std::swap(m_data,other.m_data); std::swap(m_rows,other.m_rows); std::swap(m_cols,other.m_cols); }
+    inline int rows(void) const {return m_rows;}
+    inline int cols(void) const {return m_cols;}
+    inline void resize(int, int rows, int cols)
+    {
+      m_rows = rows;
+      m_cols = cols;
+    }
+    inline const T *data() const { return m_data.array; }
+    inline T *data() { return m_data.array; }
+};
+
+// dynamic-size matrix with fixed-size storage and fixed width
+template<typename T, int Size, int _Cols, int _Options> class ei_matrix_storage<T, Size, Dynamic, _Cols, _Options>
+{
+    ei_matrix_array<T,Size,_Options> m_data;
+    int m_rows;
+  public:
+    inline explicit ei_matrix_storage() : m_rows(0) {}
+    inline ei_matrix_storage(ei_constructor_without_unaligned_array_assert)
+      : m_data(ei_constructor_without_unaligned_array_assert()), m_rows(0) {}
+    inline ei_matrix_storage(int, int rows, int) : m_rows(rows) {}
+    inline ~ei_matrix_storage() {}
+    inline void swap(ei_matrix_storage& other) { std::swap(m_data,other.m_data); std::swap(m_rows,other.m_rows); }
+    inline int rows(void) const {return m_rows;}
+    inline int cols(void) const {return _Cols;}
+    inline void resize(int /*size*/, int rows, int)
+    {
+      m_rows = rows;
+    }
+    inline const T *data() const { return m_data.array; }
+    inline T *data() { return m_data.array; }
+};
+
+// dynamic-size matrix with fixed-size storage and fixed height
+template<typename T, int Size, int _Rows, int _Options> class ei_matrix_storage<T, Size, _Rows, Dynamic, _Options>
+{
+    ei_matrix_array<T,Size,_Options> m_data;
+    int m_cols;
+  public:
+    inline explicit ei_matrix_storage() : m_cols(0) {}
+    inline ei_matrix_storage(ei_constructor_without_unaligned_array_assert)
+      : m_data(ei_constructor_without_unaligned_array_assert()), m_cols(0) {}
+    inline ei_matrix_storage(int, int, int cols) : m_cols(cols) {}
+    inline ~ei_matrix_storage() {}
+    inline void swap(ei_matrix_storage& other) { std::swap(m_data,other.m_data); std::swap(m_cols,other.m_cols); }
+    inline int rows(void) const {return _Rows;}
+    inline int cols(void) const {return m_cols;}
+    inline void resize(int, int, int cols)
+    {
+      m_cols = cols;
+    }
+    inline const T *data() const { return m_data.array; }
+    inline T *data() { return m_data.array; }
+};
+
+// purely dynamic matrix.
+template<typename T, int _Options> class ei_matrix_storage<T, Dynamic, Dynamic, Dynamic, _Options>
+{
+    T *m_data;
+    int m_rows;
+    int m_cols;
+  public:
+    inline explicit ei_matrix_storage() : m_data(0), m_rows(0), m_cols(0) {}
+    inline ei_matrix_storage(ei_constructor_without_unaligned_array_assert)
+       : m_data(0), m_rows(0), m_cols(0) {}
+    inline ei_matrix_storage(int size, int rows, int cols)
+      : m_data(ei_aligned_new<T>(size)), m_rows(rows), m_cols(cols) {}
+    inline ~ei_matrix_storage() { ei_aligned_delete(m_data, m_rows*m_cols); }
+    inline void swap(ei_matrix_storage& other)
+    { std::swap(m_data,other.m_data); std::swap(m_rows,other.m_rows); std::swap(m_cols,other.m_cols); }
+    inline int rows(void) const {return m_rows;}
+    inline int cols(void) const {return m_cols;}
+    void resize(int size, int rows, int cols)
+    {
+      if(size != m_rows*m_cols)
+      {
+        ei_aligned_delete(m_data, m_rows*m_cols);
+        if (size)
+          m_data = ei_aligned_new<T>(size);
+        else
+          m_data = 0;
+      }
+      m_rows = rows;
+      m_cols = cols;
+    }
+    inline const T *data() const { return m_data; }
+    inline T *data() { return m_data; }
+};
+
+// matrix with dynamic width and fixed height (so that matrix has dynamic size).
+template<typename T, int _Rows, int _Options> class ei_matrix_storage<T, Dynamic, _Rows, Dynamic, _Options>
+{
+    T *m_data;
+    int m_cols;
+  public:
+    inline explicit ei_matrix_storage() : m_data(0), m_cols(0) {}
+    inline ei_matrix_storage(ei_constructor_without_unaligned_array_assert) : m_data(0), m_cols(0) {}
+    inline ei_matrix_storage(int size, int, int cols) : m_data(ei_aligned_new<T>(size)), m_cols(cols) {}
+    inline ~ei_matrix_storage() { ei_aligned_delete(m_data, _Rows*m_cols); }
+    inline void swap(ei_matrix_storage& other) { std::swap(m_data,other.m_data); std::swap(m_cols,other.m_cols); }
+    inline static int rows(void) {return _Rows;}
+    inline int cols(void) const {return m_cols;}
+    void resize(int size, int, int cols)
+    {
+      if(size != _Rows*m_cols)
+      {
+        ei_aligned_delete(m_data, _Rows*m_cols);
+        if (size)
+          m_data = ei_aligned_new<T>(size);
+        else
+          m_data = 0;
+      }
+      m_cols = cols;
+    }
+    inline const T *data() const { return m_data; }
+    inline T *data() { return m_data; }
+};
+
+// matrix with dynamic height and fixed width (so that matrix has dynamic size).
+template<typename T, int _Cols, int _Options> class ei_matrix_storage<T, Dynamic, Dynamic, _Cols, _Options>
+{
+    T *m_data;
+    int m_rows;
+  public:
+    inline explicit ei_matrix_storage() : m_data(0), m_rows(0) {}
+    inline ei_matrix_storage(ei_constructor_without_unaligned_array_assert) : m_data(0), m_rows(0) {}
+    inline ei_matrix_storage(int size, int rows, int) : m_data(ei_aligned_new<T>(size)), m_rows(rows) {}
+    inline ~ei_matrix_storage() { ei_aligned_delete(m_data, _Cols*m_rows); }
+    inline void swap(ei_matrix_storage& other) { std::swap(m_data,other.m_data); std::swap(m_rows,other.m_rows); }
+    inline int rows(void) const {return m_rows;}
+    inline static int cols(void) {return _Cols;}
+    void resize(int size, int rows, int)
+    {
+      if(size != m_rows*_Cols)
+      {
+        ei_aligned_delete(m_data, _Cols*m_rows);
+        if (size)
+          m_data = ei_aligned_new<T>(size);
+        else
+          m_data = 0;
+      }
+      m_rows = rows;
+    }
+    inline const T *data() const { return m_data; }
+    inline T *data() { return m_data; }
+};
+
+#endif // EIGEN_MATRIX_H
--- a/Eigen/src/Eigen2Support/Minor.h
+++ b/Eigen/src/Eigen2Support/Minor.h
@@ -1,7 +1,7 @@
 // This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
+// for linear algebra. Eigen itself is part of the KDE project.
 //
-// Copyright (C) 2006-2009 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
 //
 // Eigen is free software; you can redistribute it and/or
 // modify it under the terms of the GNU Lesser General Public
@@ -25,9 +25,7 @@
 #ifndef EIGEN_MINOR_H
 #define EIGEN_MINOR_H

-namespace Eigen { 
-
-/**
+/** \nonstableyet 
  * \class Minor
  *
  * \brief Expression of a minor
@@ -40,15 +38,12 @@ namespace Eigen {
  *
  * \sa MatrixBase::minor()
  */
-
-namespace internal {
 template<typename MatrixType>
-struct traits<Minor<MatrixType> >
- : traits<MatrixType>
+struct ei_traits<Minor<MatrixType> >
 {
-  typedef typename nested<MatrixType>::type MatrixTypeNested;
-  typedef typename remove_reference<MatrixTypeNested>::type _MatrixTypeNested;
-  typedef typename MatrixType::StorageKind StorageKind;
+  typedef typename MatrixType::Scalar Scalar;
+  typedef typename ei_nested<MatrixType>::type MatrixTypeNested;
+  typedef typename ei_unref<MatrixTypeNested>::type _MatrixTypeNested;
  enum {
    RowsAtCompileTime = (MatrixType::RowsAtCompileTime != Dynamic) ?
                          int(MatrixType::RowsAtCompileTime) - 1 : Dynamic,
@@ -58,50 +53,47 @@ struct traits<Minor<MatrixType> >
                             int(MatrixType::MaxRowsAtCompileTime) - 1 : Dynamic,
    MaxColsAtCompileTime = (MatrixType::MaxColsAtCompileTime != Dynamic) ?
                             int(MatrixType::MaxColsAtCompileTime) - 1 : Dynamic,
-    Flags = _MatrixTypeNested::Flags & (HereditaryBits | LvalueBit),
-    CoeffReadCost = _MatrixTypeNested::CoeffReadCost // minor is used typically on tiny matrices,
-      // where loops are unrolled and the 'if' evaluates at compile time
+    Flags = _MatrixTypeNested::Flags & HereditaryBits,
+    CoeffReadCost = _MatrixTypeNested::CoeffReadCost
  };
 };
-}

 template<typename MatrixType> class Minor
  : public MatrixBase<Minor<MatrixType> >
 {
  public:

-    typedef MatrixBase<Minor> Base;
-    EIGEN_DENSE_PUBLIC_INTERFACE(Minor)
+    EIGEN_GENERIC_PUBLIC_INTERFACE(Minor)

    inline Minor(const MatrixType& matrix,
-                       Index row, Index col)
+                       int row, int col)
      : m_matrix(matrix), m_row(row), m_col(col)
    {
-      eigen_assert(row >= 0 && row < matrix.rows()
+      ei_assert(row >= 0 && row < matrix.rows()
          && col >= 0 && col < matrix.cols());
    }

    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(Minor)

-    inline Index rows() const { return m_matrix.rows() - 1; }
-    inline Index cols() const { return m_matrix.cols() - 1; }
+    inline int rows() const { return m_matrix.rows() - 1; }
+    inline int cols() const { return m_matrix.cols() - 1; }

-    inline Scalar& coeffRef(Index row, Index col)
+    inline Scalar& coeffRef(int row, int col)
    {
      return m_matrix.const_cast_derived().coeffRef(row + (row >= m_row), col + (col >= m_col));
    }

-    inline const Scalar coeff(Index row, Index col) const
+    inline const Scalar coeff(int row, int col) const
    {
      return m_matrix.coeff(row + (row >= m_row), col + (col >= m_col));
    }

  protected:
    const typename MatrixType::Nested m_matrix;
-    const Index m_row, m_col;
+    const int m_row, m_col;
 };

-/**
+/** \nonstableyet 
  * \return an expression of the (\a row, \a col)-minor of *this,
  * i.e. an expression constructed from *this by removing the specified
  * row and column.
@@ -113,20 +105,18 @@ template<typename MatrixType> class Minor
  */
 template<typename Derived>
 inline Minor<Derived>
-MatrixBase<Derived>::minor(Index row, Index col)
+MatrixBase<Derived>::minor(int row, int col)
 {
  return Minor<Derived>(derived(), row, col);
 }

-/**
+/** \nonstableyet 
  * This is the const version of minor(). */
 template<typename Derived>
 inline const Minor<Derived>
-MatrixBase<Derived>::minor(Index row, Index col) const
+MatrixBase<Derived>::minor(int row, int col) const
 {
  return Minor<Derived>(derived(), row, col);
 }

-} // end namespace Eigen
-
 #endif // EIGEN_MINOR_H
--- a/Eigen/src/Core/NestByValue.h
+++ b/Eigen/src/Core/NestByValue.h
@@ -1,7 +1,7 @@
 // This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
+// for linear algebra. Eigen itself is part of the KDE project.
 //
-// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
 // Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
 //
 // Eigen is free software; you can redistribute it and/or
@@ -26,10 +26,7 @@
 #ifndef EIGEN_NESTBYVALUE_H
 #define EIGEN_NESTBYVALUE_H

-namespace Eigen {
-
 /** \class NestByValue
-  * \ingroup Core_Module
  *
  * \brief Expression which must be nested by value
  *
@@ -40,74 +37,67 @@ namespace Eigen {
  *
  * \sa MatrixBase::nestByValue()
  */
-
-namespace internal {
 template<typename ExpressionType>
-struct traits<NestByValue<ExpressionType> > : public traits<ExpressionType>
+struct ei_traits<NestByValue<ExpressionType> > : public ei_traits<ExpressionType>
 {};
-}

 template<typename ExpressionType> class NestByValue
-  : public internal::dense_xpr_base< NestByValue<ExpressionType> >::type
+  : public MatrixBase<NestByValue<ExpressionType> >
 {
  public:

-    typedef typename internal::dense_xpr_base<NestByValue>::type Base;
-    EIGEN_DENSE_PUBLIC_INTERFACE(NestByValue)
+    EIGEN_GENERIC_PUBLIC_INTERFACE(NestByValue)

    inline NestByValue(const ExpressionType& matrix) : m_expression(matrix) {}

-    inline Index rows() const { return m_expression.rows(); }
-    inline Index cols() const { return m_expression.cols(); }
-    inline Index outerStride() const { return m_expression.outerStride(); }
-    inline Index innerStride() const { return m_expression.innerStride(); }
+    inline int rows() const { return m_expression.rows(); }
+    inline int cols() const { return m_expression.cols(); }
+    inline int stride() const { return m_expression.stride(); }

-    inline const CoeffReturnType coeff(Index row, Index col) const
+    inline const Scalar coeff(int row, int col) const
    {
      return m_expression.coeff(row, col);
    }

-    inline Scalar& coeffRef(Index row, Index col)
+    inline Scalar& coeffRef(int row, int col)
    {
      return m_expression.const_cast_derived().coeffRef(row, col);
    }

-    inline const CoeffReturnType coeff(Index index) const
+    inline const Scalar coeff(int index) const
    {
      return m_expression.coeff(index);
    }

-    inline Scalar& coeffRef(Index index)
+    inline Scalar& coeffRef(int index)
    {
      return m_expression.const_cast_derived().coeffRef(index);
    }

    template<int LoadMode>
-    inline const PacketScalar packet(Index row, Index col) const
+    inline const PacketScalar packet(int row, int col) const
    {
      return m_expression.template packet<LoadMode>(row, col);
    }

    template<int LoadMode>
-    inline void writePacket(Index row, Index col, const PacketScalar& x)
+    inline void writePacket(int row, int col, const PacketScalar& x)
    {
      m_expression.const_cast_derived().template writePacket<LoadMode>(row, col, x);
    }

    template<int LoadMode>
-    inline const PacketScalar packet(Index index) const
+    inline const PacketScalar packet(int index) const
    {
      return m_expression.template packet<LoadMode>(index);
    }

    template<int LoadMode>
-    inline void writePacket(Index index, const PacketScalar& x)
+    inline void writePacket(int index, const PacketScalar& x)
    {
      m_expression.const_cast_derived().template writePacket<LoadMode>(index, x);
    }

-    operator const ExpressionType&() const { return m_expression; }
-
  protected:
    const ExpressionType m_expression;
 };
@@ -116,11 +106,9 @@ template<typename ExpressionType> class NestByValue
  */
 template<typename Derived>
 inline const NestByValue<Derived>
-DenseBase<Derived>::nestByValue() const
+MatrixBase<Derived>::nestByValue() const
 {
  return NestByValue<Derived>(derived());
 }

-} // end namespace Eigen
-
 #endif // EIGEN_NESTBYVALUE_H
--- a/Eigen/src/Core/NoAlias.h
+++ b/Eigen/src/Core/NoAlias.h
@@ -1,140 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
-//
-// Eigen is free software; you can redistribute it and/or
-// modify it under the terms of the GNU Lesser General Public
-// License as published by the Free Software Foundation; either
-// version 3 of the License, or (at your option) any later version.
-//
-// Alternatively, you can redistribute it and/or
-// modify it under the terms of the GNU General Public License as
-// published by the Free Software Foundation; either version 2 of
-// the License, or (at your option) any later version.
-//
-// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
-// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
-// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU Lesser General Public
-// License and a copy of the GNU General Public License along with
-// Eigen. If not, see <http://www.gnu.org/licenses/>.
-
-#ifndef EIGEN_NOALIAS_H
-#define EIGEN_NOALIAS_H
-
-namespace Eigen {
-
-/** \class NoAlias
-  * \ingroup Core_Module
-  *
-  * \brief Pseudo expression providing an operator = assuming no aliasing
-  *
-  * \param ExpressionType the type of the object on which to do the lazy assignment
-  *
-  * This class represents an expression with special assignment operators
-  * assuming no aliasing between the target expression and the source expression.
-  * More precisely it alloas to bypass the EvalBeforeAssignBit flag of the source expression.
-  * It is the return type of MatrixBase::noalias()
-  * and most of the time this is the only way it is used.
-  *
-  * \sa MatrixBase::noalias()
-  */
-template<typename ExpressionType, template <typename> class StorageBase>
-class NoAlias
-{
-    typedef typename ExpressionType::Scalar Scalar;
-  public:
-    NoAlias(ExpressionType& expression) : m_expression(expression) {}
-
-    /** Behaves like MatrixBase::lazyAssign(other)
-      * \sa MatrixBase::lazyAssign() */
-    template<typename OtherDerived>
-    EIGEN_STRONG_INLINE ExpressionType& operator=(const StorageBase<OtherDerived>& other)
-    { return internal::assign_selector<ExpressionType,OtherDerived,false>::run(m_expression,other.derived()); }
-
-    /** \sa MatrixBase::operator+= */
-    template<typename OtherDerived>
-    EIGEN_STRONG_INLINE ExpressionType& operator+=(const StorageBase<OtherDerived>& other)
-    {
-      typedef SelfCwiseBinaryOp<internal::scalar_sum_op<Scalar>, ExpressionType, OtherDerived> SelfAdder;
-      SelfAdder tmp(m_expression);
-      typedef typename internal::nested<OtherDerived>::type OtherDerivedNested;
-      typedef typename internal::remove_all<OtherDerivedNested>::type _OtherDerivedNested;
-      internal::assign_selector<SelfAdder,_OtherDerivedNested,false>::run(tmp,OtherDerivedNested(other.derived()));
-      return m_expression;
-    }
-
-    /** \sa MatrixBase::operator-= */
-    template<typename OtherDerived>
-    EIGEN_STRONG_INLINE ExpressionType& operator-=(const StorageBase<OtherDerived>& other)
-    {
-      typedef SelfCwiseBinaryOp<internal::scalar_difference_op<Scalar>, ExpressionType, OtherDerived> SelfAdder;
-      SelfAdder tmp(m_expression);
-      typedef typename internal::nested<OtherDerived>::type OtherDerivedNested;
-      typedef typename internal::remove_all<OtherDerivedNested>::type _OtherDerivedNested;
-      internal::assign_selector<SelfAdder,_OtherDerivedNested,false>::run(tmp,OtherDerivedNested(other.derived()));
-      return m_expression;
-    }
-
-#ifndef EIGEN_PARSED_BY_DOXYGEN
-    template<typename ProductDerived, typename Lhs, typename Rhs>
-    EIGEN_STRONG_INLINE ExpressionType& operator+=(const ProductBase<ProductDerived, Lhs,Rhs>& other)
-    { other.derived().addTo(m_expression); return m_expression; }
-
-    template<typename ProductDerived, typename Lhs, typename Rhs>
-    EIGEN_STRONG_INLINE ExpressionType& operator-=(const ProductBase<ProductDerived, Lhs,Rhs>& other)
-    { other.derived().subTo(m_expression); return m_expression; }
-
-    template<typename Lhs, typename Rhs, int NestingFlags>
-    EIGEN_STRONG_INLINE ExpressionType& operator+=(const CoeffBasedProduct<Lhs,Rhs,NestingFlags>& other)
-    { return m_expression.derived() += CoeffBasedProduct<Lhs,Rhs,NestByRefBit>(other.lhs(), other.rhs()); }
-
-    template<typename Lhs, typename Rhs, int NestingFlags>
-    EIGEN_STRONG_INLINE ExpressionType& operator-=(const CoeffBasedProduct<Lhs,Rhs,NestingFlags>& other)
-    { return m_expression.derived() -= CoeffBasedProduct<Lhs,Rhs,NestByRefBit>(other.lhs(), other.rhs()); }
-#endif
-
-  protected:
-    ExpressionType& m_expression;
-};
-
-/** \returns a pseudo expression of \c *this with an operator= assuming
-  * no aliasing between \c *this and the source expression.
-  *
-  * More precisely, noalias() allows to bypass the EvalBeforeAssignBit flag.
-  * Currently, even though several expressions may alias, only product
-  * expressions have this flag. Therefore, noalias() is only usefull when
-  * the source expression contains a matrix product.
-  *
-  * Here are some examples where noalias is usefull:
-  * \code
-  * D.noalias()  = A * B;
-  * D.noalias() += A.transpose() * B;
-  * D.noalias() -= 2 * A * B.adjoint();
-  * \endcode
-  *
-  * On the other hand the following example will lead to a \b wrong result:
-  * \code
-  * A.noalias() = A * B;
-  * \endcode
-  * because the result matrix A is also an operand of the matrix product. Therefore,
-  * there is no alternative than evaluating A * B in a temporary, that is the default
-  * behavior when you write:
-  * \code
-  * A = A * B;
-  * \endcode
-  *
-  * \sa class NoAlias
-  */
-template<typename Derived>
-NoAlias<Derived,MatrixBase> MatrixBase<Derived>::noalias()
-{
-  return derived();
-}
-
-} // end namespace Eigen
-
-#endif // EIGEN_NOALIAS_H
--- a/Eigen/src/Core/NumTraits.h
+++ b/Eigen/src/Core/NumTraits.h
@@ -1,7 +1,7 @@
 // This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
+// for linear algebra. Eigen itself is part of the KDE project.
 //
-// Copyright (C) 2006-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
 //
 // Eigen is free software; you can redistribute it and/or
 // modify it under the terms of the GNU Lesser General Public
@@ -25,138 +25,118 @@
 #ifndef EIGEN_NUMTRAITS_H
 #define EIGEN_NUMTRAITS_H

-namespace Eigen {
-
 /** \class NumTraits
-  * \ingroup Core_Module
  *
-  * \brief Holds information about the various numeric (i.e. scalar) types allowed by Eigen.
+  * \brief Holds some data about the various numeric (i.e. scalar) types allowed by Eigen.
  *
-  * \param T the numeric type at hand
-  *
-  * This class stores enums, typedefs and static methods giving information about a numeric type.
+  * \param T the numeric type about which this class provides data. Recall that Eigen allows
+  *          only the following types for \a T: \c int, \c float, \c double,
+  *          \c std::complex<float>, \c std::complex<double>, and \c long \c double (especially
+  *          useful to enforce x87 arithmetics when SSE is the default).
  *
  * The provided data consists of:
  * \li A typedef \a Real, giving the "real part" type of \a T. If \a T is already real,
  *     then \a Real is just a typedef to \a T. If \a T is \c std::complex<U> then \a Real
  *     is a typedef to \a U.
-  * \li A typedef \a NonInteger, giving the type that should be used for operations producing non-integral values,
-  *     such as quotients, square roots, etc. If \a T is a floating-point type, then this typedef just gives
-  *     \a T again. Note however that many Eigen functions such as internal::sqrt simply refuse to
-  *     take integers. Outside of a few cases, Eigen doesn't do automatic type promotion. Thus, this typedef is
-  *     only intended as a helper for code that needs to explicitly promote types.
-  * \li A typedef \a Nested giving the type to use to nest a value inside of the expression tree. If you don't know what
-  *     this means, just use \a T here.
+  * \li A typedef \a FloatingPoint, giving the "floating-point type" of \a T. If \a T is
+  *     \c int, then \a FloatingPoint is a typedef to \c double. Otherwise, \a FloatingPoint
+  *     is a typedef to \a T.
  * \li An enum value \a IsComplex. It is equal to 1 if \a T is a \c std::complex
  *     type, and to 0 otherwise.
-  * \li An enum value \a IsInteger. It is equal to \c 1 if \a T is an integer type such as \c int,
-  *     and to \c 0 otherwise.
-  * \li Enum values ReadCost, AddCost and MulCost representing a rough estimate of the number of CPU cycles needed
-  *     to by move / add / mul instructions respectively, assuming the data is already stored in CPU registers.
-  *     Stay vague here. No need to do architecture-specific stuff.
-  * \li An enum value \a IsSigned. It is equal to \c 1 if \a T is a signed type and to 0 if \a T is unsigned.
-  * \li An enum value \a RequireInitialization. It is equal to \c 1 if the constructor of the numeric type \a T must
-  *     be called, and to 0 if it is safe not to call it. Default is 0 if \a T is an arithmetic type, and 1 otherwise.
-  * \li An epsilon() function which, unlike std::numeric_limits::epsilon(), returns a \a Real instead of a \a T.
-  * \li A dummy_precision() function returning a weak epsilon value. It is mainly used as a default
-  *     value by the fuzzy comparison operators.
-  * \li highest() and lowest() functions returning the highest and lowest possible values respectively.
+  * \li An enum \a HasFloatingPoint. It is equal to \c 0 if \a T is \c int,
+  *     and to \c 1 otherwise.
  */
+template<typename T> struct NumTraits;

-template<typename T> struct GenericNumTraits
+template<> struct NumTraits<int>
 {
+  typedef int Real;
+  typedef double FloatingPoint;
  enum {
-    IsInteger = std::numeric_limits<T>::is_integer,
-    IsSigned = std::numeric_limits<T>::is_signed,
    IsComplex = 0,
-    RequireInitialization = internal::is_arithmetic<T>::value ? 0 : 1,
+    HasFloatingPoint = 0,
    ReadCost = 1,
    AddCost = 1,
    MulCost = 1
  };
-
-  typedef T Real;
-  typedef typename internal::conditional<
-                     IsInteger,
-                     typename internal::conditional<sizeof(T)<=2, float, double>::type,
-                     T
-                   >::type NonInteger;
-  typedef T Nested;
-
-  static inline Real epsilon() { return std::numeric_limits<T>::epsilon(); }
-  static inline Real dummy_precision()
-  {
-    // make sure to override this for floating-point types
-    return Real(0);
-  }
-  static inline T highest() { return (std::numeric_limits<T>::max)(); }
-  static inline T lowest()  { return IsInteger ? (std::numeric_limits<T>::min)() : (-(std::numeric_limits<T>::max)()); }
-  
-#ifdef EIGEN2_SUPPORT
-  enum {
-    HasFloatingPoint = !IsInteger
-  };
-  typedef NonInteger FloatingPoint;
-#endif
 };

-template<typename T> struct NumTraits : GenericNumTraits<T>
-{};
-
 template<> struct NumTraits<float>
-  : GenericNumTraits<float>
 {
-  static inline float dummy_precision() { return 1e-5f; }
+  typedef float Real;
+  typedef float FloatingPoint;
+  enum {
+    IsComplex = 0,
+    HasFloatingPoint = 1,
+    ReadCost = 1,
+    AddCost = 1,
+    MulCost = 1
+  };
 };

-template<> struct NumTraits<double> : GenericNumTraits<double>
+template<> struct NumTraits<double>
 {
-  static inline double dummy_precision() { return 1e-12; }
-};
-
-template<> struct NumTraits<long double>
-  : GenericNumTraits<long double>
-{
-  static inline long double dummy_precision() { return 1e-15l; }
+  typedef double Real;
+  typedef double FloatingPoint;
+  enum {
+    IsComplex = 0,
+    HasFloatingPoint = 1,
+    ReadCost = 1,
+    AddCost = 1,
+    MulCost = 1
+  };
 };

 template<typename _Real> struct NumTraits<std::complex<_Real> >
-  : GenericNumTraits<std::complex<_Real> >
 {
  typedef _Real Real;
+  typedef std::complex<_Real> FloatingPoint;
  enum {
    IsComplex = 1,
-    RequireInitialization = NumTraits<_Real>::RequireInitialization,
-    ReadCost = 2 * NumTraits<_Real>::ReadCost,
+    HasFloatingPoint = NumTraits<Real>::HasFloatingPoint,
+    ReadCost = 2,
    AddCost = 2 * NumTraits<Real>::AddCost,
    MulCost = 4 * NumTraits<Real>::MulCost + 2 * NumTraits<Real>::AddCost
  };
-
-  static inline Real epsilon() { return NumTraits<Real>::epsilon(); }
-  static inline Real dummy_precision() { return NumTraits<Real>::dummy_precision(); }
 };

-template<typename Scalar, int Rows, int Cols, int Options, int MaxRows, int MaxCols>
-struct NumTraits<Array<Scalar, Rows, Cols, Options, MaxRows, MaxCols> >
+template<> struct NumTraits<long long int>
 {
-  typedef Array<Scalar, Rows, Cols, Options, MaxRows, MaxCols> ArrayType;
-  typedef typename NumTraits<Scalar>::Real RealScalar;
-  typedef Array<RealScalar, Rows, Cols, Options, MaxRows, MaxCols> Real;
-  typedef typename NumTraits<Scalar>::NonInteger NonIntegerScalar;
-  typedef Array<NonIntegerScalar, Rows, Cols, Options, MaxRows, MaxCols> NonInteger;
-  typedef ArrayType & Nested;
-  
+  typedef long long int Real;
+  typedef long double FloatingPoint;
  enum {
-    IsComplex = NumTraits<Scalar>::IsComplex,
-    IsInteger = NumTraits<Scalar>::IsInteger,
-    IsSigned  = NumTraits<Scalar>::IsSigned,
-    RequireInitialization = 1,
-    ReadCost = ArrayType::SizeAtCompileTime==Dynamic ? Dynamic : ArrayType::SizeAtCompileTime * NumTraits<Scalar>::ReadCost,
-    AddCost  = ArrayType::SizeAtCompileTime==Dynamic ? Dynamic : ArrayType::SizeAtCompileTime * NumTraits<Scalar>::AddCost,
-    MulCost  = ArrayType::SizeAtCompileTime==Dynamic ? Dynamic : ArrayType::SizeAtCompileTime * NumTraits<Scalar>::MulCost
+    IsComplex = 0,
+    HasFloatingPoint = 0,
+    ReadCost = 1,
+    AddCost = 1,
+    MulCost = 1
  };
 };

-} // end namespace Eigen
+template<> struct NumTraits<long double>
+{
+  typedef long double Real;
+  typedef long double FloatingPoint;
+  enum {
+    IsComplex = 0,
+    HasFloatingPoint = 1,
+    ReadCost = 1,
+    AddCost = 1,
+    MulCost = 1
+  };
+};
+
+template<> struct NumTraits<bool>
+{
+  typedef bool Real;
+  typedef float FloatingPoint;
+  enum {
+    IsComplex = 0,
+    HasFloatingPoint = 0,
+    ReadCost = 1,
+    AddCost = 1,
+    MulCost = 1
+  };
+};

 #endif // EIGEN_NUMTRAITS_H
--- a/Eigen/src/Core/Part.h
+++ b/Eigen/src/Core/Part.h
@@ -0,0 +1,375 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra. Eigen itself is part of the KDE project.
+//
+// Copyright (C) 2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
+//
+// Eigen is free software; you can redistribute it and/or
+// modify it under the terms of the GNU Lesser General Public
+// License as published by the Free Software Foundation; either
+// version 3 of the License, or (at your option) any later version.
+//
+// Alternatively, you can redistribute it and/or
+// modify it under the terms of the GNU General Public License as
+// published by the Free Software Foundation; either version 2 of
+// the License, or (at your option) any later version.
+//
+// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
+// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
+// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
+// GNU General Public License for more details.
+//
+// You should have received a copy of the GNU Lesser General Public
+// License and a copy of the GNU General Public License along with
+// Eigen. If not, see <http://www.gnu.org/licenses/>.
+
+#ifndef EIGEN_PART_H
+#define EIGEN_PART_H
+
+/** \nonstableyet 
+  * \class Part
+  *
+  * \brief Expression of a triangular matrix extracted from a given matrix
+  *
+  * \param MatrixType the type of the object in which we are taking the triangular part
+  * \param Mode the kind of triangular matrix expression to construct. Can be UpperTriangular, StrictlyUpperTriangular,
+  *             UnitUpperTriangular, LowerTriangular, StrictlyLowerTriangular, UnitLowerTriangular. This is in fact a bit field; it must have either
+  *             UpperTriangularBit or LowerTriangularBit, and additionnaly it may have either ZeroDiagBit or
+  *             UnitDiagBit.
+  *
+  * This class represents an expression of the upper or lower triangular part of
+  * a square matrix, possibly with a further assumption on the diagonal. It is the return type
+  * of MatrixBase::part() and most of the time this is the only way it is used.
+  *
+  * \sa MatrixBase::part()
+  */
+template<typename MatrixType, unsigned int Mode>
+struct ei_traits<Part<MatrixType, Mode> > : ei_traits<MatrixType>
+{
+  typedef typename ei_nested<MatrixType>::type MatrixTypeNested;
+  typedef typename ei_unref<MatrixTypeNested>::type _MatrixTypeNested;
+  enum {
+    Flags = (_MatrixTypeNested::Flags & (HereditaryBits) & (~(PacketAccessBit | DirectAccessBit | LinearAccessBit))) | Mode,
+    CoeffReadCost = _MatrixTypeNested::CoeffReadCost
+  };
+};
+
+template<typename MatrixType, unsigned int Mode> class Part
+  : public MatrixBase<Part<MatrixType, Mode> >
+{
+  public:
+
+    EIGEN_GENERIC_PUBLIC_INTERFACE(Part)
+
+    inline Part(const MatrixType& matrix) : m_matrix(matrix)
+    { ei_assert(ei_are_flags_consistent<Mode>::ret); }
+
+    /** \sa MatrixBase::operator+=() */
+    template<typename Other> Part&  operator+=(const Other& other);
+    /** \sa MatrixBase::operator-=() */
+    template<typename Other> Part&  operator-=(const Other& other);
+    /** \sa MatrixBase::operator*=() */
+    Part&  operator*=(const typename ei_traits<MatrixType>::Scalar& other);
+    /** \sa MatrixBase::operator/=() */
+    Part&  operator/=(const typename ei_traits<MatrixType>::Scalar& other);
+
+    /** \sa operator=(), MatrixBase::lazyAssign() */
+    template<typename Other> void lazyAssign(const Other& other);
+    /** \sa MatrixBase::operator=() */
+    template<typename Other> Part& operator=(const Other& other);
+
+    inline int rows() const { return m_matrix.rows(); }
+    inline int cols() const { return m_matrix.cols(); }
+    inline int stride() const { return m_matrix.stride(); }
+
+    inline Scalar coeff(int row, int col) const
+    {
+      // SelfAdjointBit doesn't play any role here: just because a matrix is selfadjoint doesn't say anything about
+      // each individual coefficient, except for the not-very-useful-here fact that diagonal coefficients are real.
+      if( ((Flags & LowerTriangularBit) && (col>row)) || ((Flags & UpperTriangularBit) && (row>col)) )
+        return (Scalar)0;
+      if(Flags & UnitDiagBit)
+        return col==row ? (Scalar)1 : m_matrix.coeff(row, col);
+      else if(Flags & ZeroDiagBit)
+        return col==row ? (Scalar)0 : m_matrix.coeff(row, col);
+      else
+        return m_matrix.coeff(row, col);
+    }
+
+    inline Scalar& coeffRef(int row, int col)
+    {
+      EIGEN_STATIC_ASSERT(!(Flags & UnitDiagBit), WRITING_TO_TRIANGULAR_PART_WITH_UNIT_DIAGONAL_IS_NOT_SUPPORTED)
+      EIGEN_STATIC_ASSERT(!(Flags & SelfAdjointBit), COEFFICIENT_WRITE_ACCESS_TO_SELFADJOINT_NOT_SUPPORTED)
+      ei_assert(   (Mode==UpperTriangular && col>=row)
+                || (Mode==LowerTriangular && col<=row)
+                || (Mode==StrictlyUpperTriangular && col>row)
+                || (Mode==StrictlyLowerTriangular && col<row));
+      return m_matrix.const_cast_derived().coeffRef(row, col);
+    }
+
+    /** \internal */
+    const MatrixType& _expression() const { return m_matrix; }
+
+    /** discard any writes to a row */
+    const Block<Part, 1, ColsAtCompileTime> row(int i) { return Base::row(i); }
+    const Block<Part, 1, ColsAtCompileTime> row(int i) const { return Base::row(i); }
+    /** discard any writes to a column */
+    const Block<Part, RowsAtCompileTime, 1> col(int i) { return Base::col(i); }
+    const Block<Part, RowsAtCompileTime, 1> col(int i) const { return Base::col(i); }
+
+    template<typename OtherDerived/*, int OtherMode*/>
+    void swap(const MatrixBase<OtherDerived>& other)
+    {
+      Part<SwapWrapper<MatrixType>,Mode>(SwapWrapper<MatrixType>(const_cast<MatrixType&>(m_matrix))).lazyAssign(other.derived());
+    }
+
+  protected:
+
+    const typename MatrixType::Nested m_matrix;
+};
+
+/** \nonstableyet 
+  * \returns an expression of a triangular matrix extracted from the current matrix
+  *
+  * The parameter \a Mode can have the following values: \c UpperTriangular, \c StrictlyUpperTriangular, \c UnitUpperTriangular,
+  * \c LowerTriangular, \c StrictlyLowerTriangular, \c UnitLowerTriangular.
+  *
+  * \addexample PartExample \label How to extract a triangular part of an arbitrary matrix
+  *
+  * Example: \include MatrixBase_extract.cpp
+  * Output: \verbinclude MatrixBase_extract.out
+  *
+  * \sa class Part, part(), marked()
+  */
+template<typename Derived>
+template<unsigned int Mode>
+const Part<Derived, Mode> MatrixBase<Derived>::part() const
+{
+  return derived();
+}
+
+template<typename MatrixType, unsigned int Mode>
+template<typename Other>
+inline Part<MatrixType, Mode>& Part<MatrixType, Mode>::operator=(const Other& other)
+{
+  if(Other::Flags & EvalBeforeAssigningBit)
+  {
+    typename MatrixBase<Other>::PlainMatrixType other_evaluated(other.rows(), other.cols());
+    other_evaluated.template part<Mode>().lazyAssign(other);
+    lazyAssign(other_evaluated);
+  }
+  else
+    lazyAssign(other.derived());
+  return *this;
+}
+
+template<typename Derived1, typename Derived2, unsigned int Mode, int UnrollCount>
+struct ei_part_assignment_impl
+{
+  enum {
+    col = (UnrollCount-1) / Derived1::RowsAtCompileTime,
+    row = (UnrollCount-1) % Derived1::RowsAtCompileTime
+  };
+
+  inline static void run(Derived1 &dst, const Derived2 &src)
+  {
+    ei_part_assignment_impl<Derived1, Derived2, Mode, UnrollCount-1>::run(dst, src);
+
+    if(Mode == SelfAdjoint)
+    {
+      if(row == col)
+        dst.coeffRef(row, col) = ei_real(src.coeff(row, col));
+      else if(row < col)
+        dst.coeffRef(col, row) = ei_conj(dst.coeffRef(row, col) = src.coeff(row, col));
+    }
+    else
+    {
+      ei_assert(Mode == UpperTriangular || Mode == LowerTriangular || Mode == StrictlyUpperTriangular || Mode == StrictlyLowerTriangular);
+      if((Mode == UpperTriangular && row <= col)
+      || (Mode == LowerTriangular && row >= col)
+      || (Mode == StrictlyUpperTriangular && row < col)
+      || (Mode == StrictlyLowerTriangular && row > col))
+        dst.copyCoeff(row, col, src);
+    }
+  }
+};
+
+template<typename Derived1, typename Derived2, unsigned int Mode>
+struct ei_part_assignment_impl<Derived1, Derived2, Mode, 1>
+{
+  inline static void run(Derived1 &dst, const Derived2 &src)
+  {
+    if(!(Mode & ZeroDiagBit))
+      dst.copyCoeff(0, 0, src);
+  }
+};
+
+// prevent buggy user code from causing an infinite recursion
+template<typename Derived1, typename Derived2, unsigned int Mode>
+struct ei_part_assignment_impl<Derived1, Derived2, Mode, 0>
+{
+  inline static void run(Derived1 &, const Derived2 &) {}
+};
+
+template<typename Derived1, typename Derived2>
+struct ei_part_assignment_impl<Derived1, Derived2, UpperTriangular, Dynamic>
+{
+  inline static void run(Derived1 &dst, const Derived2 &src)
+  {
+    for(int j = 0; j < dst.cols(); ++j)
+      for(int i = 0; i <= j; ++i)
+        dst.copyCoeff(i, j, src);
+  }
+};
+
+template<typename Derived1, typename Derived2>
+struct ei_part_assignment_impl<Derived1, Derived2, LowerTriangular, Dynamic>
+{
+  inline static void run(Derived1 &dst, const Derived2 &src)
+  {
+    for(int j = 0; j < dst.cols(); ++j)
+      for(int i = j; i < dst.rows(); ++i)
+        dst.copyCoeff(i, j, src);
+  }
+};
+
+template<typename Derived1, typename Derived2>
+struct ei_part_assignment_impl<Derived1, Derived2, StrictlyUpperTriangular, Dynamic>
+{
+  inline static void run(Derived1 &dst, const Derived2 &src)
+  {
+    for(int j = 0; j < dst.cols(); ++j)
+      for(int i = 0; i < j; ++i)
+        dst.copyCoeff(i, j, src);
+  }
+};
+template<typename Derived1, typename Derived2>
+struct ei_part_assignment_impl<Derived1, Derived2, StrictlyLowerTriangular, Dynamic>
+{
+  inline static void run(Derived1 &dst, const Derived2 &src)
+  {
+    for(int j = 0; j < dst.cols(); ++j)
+      for(int i = j+1; i < dst.rows(); ++i)
+        dst.copyCoeff(i, j, src);
+  }
+};
+template<typename Derived1, typename Derived2>
+struct ei_part_assignment_impl<Derived1, Derived2, SelfAdjoint, Dynamic>
+{
+  inline static void run(Derived1 &dst, const Derived2 &src)
+  {
+    for(int j = 0; j < dst.cols(); ++j)
+    {
+      for(int i = 0; i < j; ++i)
+        dst.coeffRef(j, i) = ei_conj(dst.coeffRef(i, j) = src.coeff(i, j));
+      dst.coeffRef(j, j) = ei_real(src.coeff(j, j));
+    }
+  }
+};
+
+template<typename MatrixType, unsigned int Mode>
+template<typename Other>
+void Part<MatrixType, Mode>::lazyAssign(const Other& other)
+{
+  const bool unroll = MatrixType::SizeAtCompileTime * Other::CoeffReadCost / 2 <= EIGEN_UNROLLING_LIMIT;
+  ei_assert(m_matrix.rows() == other.rows() && m_matrix.cols() == other.cols());
+
+  ei_part_assignment_impl
+    <MatrixType, Other, Mode,
+    unroll ? int(MatrixType::SizeAtCompileTime) : Dynamic
+    >::run(m_matrix.const_cast_derived(), other.derived());
+}
+
+/** \nonstableyet 
+  * \returns a lvalue pseudo-expression allowing to perform special operations on \c *this.
+  *
+  * The \a Mode parameter can have the following values: \c UpperTriangular, \c StrictlyUpperTriangular, \c LowerTriangular,
+  * \c StrictlyLowerTriangular, \c SelfAdjoint.
+  *
+  * \addexample PartExample \label How to write to a triangular part of a matrix
+  *
+  * Example: \include MatrixBase_part.cpp
+  * Output: \verbinclude MatrixBase_part.out
+  *
+  * \sa class Part, MatrixBase::extract(), MatrixBase::marked()
+  */
+template<typename Derived>
+template<unsigned int Mode>
+inline Part<Derived, Mode> MatrixBase<Derived>::part()
+{
+  return Part<Derived, Mode>(derived());
+}
+
+/** \returns true if *this is approximately equal to an upper triangular matrix,
+  *          within the precision given by \a prec.
+  *
+  * \sa isLowerTriangular(), extract(), part(), marked()
+  */
+template<typename Derived>
+bool MatrixBase<Derived>::isUpperTriangular(RealScalar prec) const
+{
+  if(cols() != rows()) return false;
+  RealScalar maxAbsOnUpperTriangularPart = static_cast<RealScalar>(-1);
+  for(int j = 0; j < cols(); ++j)
+    for(int i = 0; i <= j; ++i)
+    {
+      RealScalar absValue = ei_abs(coeff(i,j));
+      if(absValue > maxAbsOnUpperTriangularPart) maxAbsOnUpperTriangularPart = absValue;
+    }
+  for(int j = 0; j < cols()-1; ++j)
+    for(int i = j+1; i < rows(); ++i)
+      if(!ei_isMuchSmallerThan(coeff(i, j), maxAbsOnUpperTriangularPart, prec)) return false;
+  return true;
+}
+
+/** \returns true if *this is approximately equal to a lower triangular matrix,
+  *          within the precision given by \a prec.
+  *
+  * \sa isUpperTriangular(), extract(), part(), marked()
+  */
+template<typename Derived>
+bool MatrixBase<Derived>::isLowerTriangular(RealScalar prec) const
+{
+  if(cols() != rows()) return false;
+  RealScalar maxAbsOnLowerTriangularPart = static_cast<RealScalar>(-1);
+  for(int j = 0; j < cols(); ++j)
+    for(int i = j; i < rows(); ++i)
+    {
+      RealScalar absValue = ei_abs(coeff(i,j));
+      if(absValue > maxAbsOnLowerTriangularPart) maxAbsOnLowerTriangularPart = absValue;
+    }
+  for(int j = 1; j < cols(); ++j)
+    for(int i = 0; i < j; ++i)
+      if(!ei_isMuchSmallerThan(coeff(i, j), maxAbsOnLowerTriangularPart, prec)) return false;
+  return true;
+}
+
+template<typename MatrixType, unsigned int Mode>
+template<typename Other>
+inline Part<MatrixType, Mode>& Part<MatrixType, Mode>::operator+=(const Other& other)
+{
+  return *this = m_matrix + other;
+}
+
+template<typename MatrixType, unsigned int Mode>
+template<typename Other>
+inline Part<MatrixType, Mode>& Part<MatrixType, Mode>::operator-=(const Other& other)
+{
+  return *this = m_matrix - other;
+}
+
+template<typename MatrixType, unsigned int Mode>
+inline Part<MatrixType, Mode>& Part<MatrixType, Mode>::operator*=
+(const typename ei_traits<MatrixType>::Scalar& other)
+{
+  return *this = m_matrix * other;
+}
+
+template<typename MatrixType, unsigned int Mode>
+inline Part<MatrixType, Mode>& Part<MatrixType, Mode>::operator/=
+(const typename ei_traits<MatrixType>::Scalar& other)
+{
+  return *this = m_matrix / other;
+}
+
+#endif // EIGEN_PART_H
--- a/Eigen/src/Core/PermutationMatrix.h
+++ b/Eigen/src/Core/PermutationMatrix.h
@@ -1,702 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
-// Copyright (C) 2009-2011 Gael Guennebaud <gael.guennebaud@inria.fr>
-//
-// Eigen is free software; you can redistribute it and/or
-// modify it under the terms of the GNU Lesser General Public
-// License as published by the Free Software Foundation; either
-// version 3 of the License, or (at your option) any later version.
-//
-// Alternatively, you can redistribute it and/or
-// modify it under the terms of the GNU General Public License as
-// published by the Free Software Foundation; either version 2 of
-// the License, or (at your option) any later version.
-//
-// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
-// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
-// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU Lesser General Public
-// License and a copy of the GNU General Public License along with
-// Eigen. If not, see <http://www.gnu.org/licenses/>.
-
-#ifndef EIGEN_PERMUTATIONMATRIX_H
-#define EIGEN_PERMUTATIONMATRIX_H
-
-namespace Eigen { 
-
-template<int RowCol,typename IndicesType,typename MatrixType, typename StorageKind> class PermutedImpl;
-
-/** \class PermutationBase
-  * \ingroup Core_Module
-  *
-  * \brief Base class for permutations
-  *
-  * \param Derived the derived class
-  *
-  * This class is the base class for all expressions representing a permutation matrix,
-  * internally stored as a vector of integers.
-  * The convention followed here is that if \f$ \sigma \f$ is a permutation, the corresponding permutation matrix
-  * \f$ P_\sigma \f$ is such that if \f$ (e_1,\ldots,e_p) \f$ is the canonical basis, we have:
-  *  \f[ P_\sigma(e_i) = e_{\sigma(i)}. \f]
-  * This convention ensures that for any two permutations \f$ \sigma, \tau \f$, we have:
-  *  \f[ P_{\sigma\circ\tau} = P_\sigma P_\tau. \f]
-  *
-  * Permutation matrices are square and invertible.
-  *
-  * Notice that in addition to the member functions and operators listed here, there also are non-member
-  * operator* to multiply any kind of permutation object with any kind of matrix expression (MatrixBase)
-  * on either side.
-  *
-  * \sa class PermutationMatrix, class PermutationWrapper
-  */
-
-namespace internal {
-
-template<typename PermutationType, typename MatrixType, int Side, bool Transposed=false>
-struct permut_matrix_product_retval;
-template<typename PermutationType, typename MatrixType, int Side, bool Transposed=false>
-struct permut_sparsematrix_product_retval;
-enum PermPermProduct_t {PermPermProduct};
-
-} // end namespace internal
-
-template<typename Derived>
-class PermutationBase : public EigenBase<Derived>
-{
-    typedef internal::traits<Derived> Traits;
-    typedef EigenBase<Derived> Base;
-  public:
-
-    #ifndef EIGEN_PARSED_BY_DOXYGEN
-    typedef typename Traits::IndicesType IndicesType;
-    enum {
-      Flags = Traits::Flags,
-      CoeffReadCost = Traits::CoeffReadCost,
-      RowsAtCompileTime = Traits::RowsAtCompileTime,
-      ColsAtCompileTime = Traits::ColsAtCompileTime,
-      MaxRowsAtCompileTime = Traits::MaxRowsAtCompileTime,
-      MaxColsAtCompileTime = Traits::MaxColsAtCompileTime
-    };
-    typedef typename Traits::Scalar Scalar;
-    typedef typename Traits::Index Index;
-    typedef Matrix<Scalar,RowsAtCompileTime,ColsAtCompileTime,0,MaxRowsAtCompileTime,MaxColsAtCompileTime>
-            DenseMatrixType;
-    typedef PermutationMatrix<IndicesType::SizeAtCompileTime,IndicesType::MaxSizeAtCompileTime,Index>
-            PlainPermutationType;
-    using Base::derived;
-    #endif
-
-    /** Copies the other permutation into *this */
-    template<typename OtherDerived>
-    Derived& operator=(const PermutationBase<OtherDerived>& other)
-    {
-      indices() = other.indices();
-      return derived();
-    }
-
-    /** Assignment from the Transpositions \a tr */
-    template<typename OtherDerived>
-    Derived& operator=(const TranspositionsBase<OtherDerived>& tr)
-    {
-      setIdentity(tr.size());
-      for(Index k=size()-1; k>=0; --k)
-        applyTranspositionOnTheRight(k,tr.coeff(k));
-      return derived();
-    }
-
-    #ifndef EIGEN_PARSED_BY_DOXYGEN
-    /** This is a special case of the templated operator=. Its purpose is to
-      * prevent a default operator= from hiding the templated operator=.
-      */
-    Derived& operator=(const PermutationBase& other)
-    {
-      indices() = other.indices();
-      return derived();
-    }
-    #endif
-
-    /** \returns the number of rows */
-    inline Index rows() const { return indices().size(); }
-
-    /** \returns the number of columns */
-    inline Index cols() const { return indices().size(); }
-
-    /** \returns the size of a side of the respective square matrix, i.e., the number of indices */
-    inline Index size() const { return indices().size(); }
-
-    #ifndef EIGEN_PARSED_BY_DOXYGEN
-    template<typename DenseDerived>
-    void evalTo(MatrixBase<DenseDerived>& other) const
-    {
-      other.setZero();
-      for (int i=0; i<rows();++i)
-        other.coeffRef(indices().coeff(i),i) = typename DenseDerived::Scalar(1);
-    }
-    #endif
-
-    /** \returns a Matrix object initialized from this permutation matrix. Notice that it
-      * is inefficient to return this Matrix object by value. For efficiency, favor using
-      * the Matrix constructor taking EigenBase objects.
-      */
-    DenseMatrixType toDenseMatrix() const
-    {
-      return derived();
-    }
-
-    /** const version of indices(). */
-    const IndicesType& indices() const { return derived().indices(); }
-    /** \returns a reference to the stored array representing the permutation. */
-    IndicesType& indices() { return derived().indices(); }
-
-    /** Resizes to given size.
-      */
-    inline void resize(Index size)
-    {
-      indices().resize(size);
-    }
-
-    /** Sets *this to be the identity permutation matrix */
-    void setIdentity()
-    {
-      for(Index i = 0; i < size(); ++i)
-        indices().coeffRef(i) = i;
-    }
-
-    /** Sets *this to be the identity permutation matrix of given size.
-      */
-    void setIdentity(Index size)
-    {
-      resize(size);
-      setIdentity();
-    }
-
-    /** Multiplies *this by the transposition \f$(ij)\f$ on the left.
-      *
-      * \returns a reference to *this.
-      *
-      * \warning This is much slower than applyTranspositionOnTheRight(int,int):
-      * this has linear complexity and requires a lot of branching.
-      *
-      * \sa applyTranspositionOnTheRight(int,int)
-      */
-    Derived& applyTranspositionOnTheLeft(Index i, Index j)
-    {
-      eigen_assert(i>=0 && j>=0 && i<size() && j<size());
-      for(Index k = 0; k < size(); ++k)
-      {
-        if(indices().coeff(k) == i) indices().coeffRef(k) = j;
-        else if(indices().coeff(k) == j) indices().coeffRef(k) = i;
-      }
-      return derived();
-    }
-
-    /** Multiplies *this by the transposition \f$(ij)\f$ on the right.
-      *
-      * \returns a reference to *this.
-      *
-      * This is a fast operation, it only consists in swapping two indices.
-      *
-      * \sa applyTranspositionOnTheLeft(int,int)
-      */
-    Derived& applyTranspositionOnTheRight(Index i, Index j)
-    {
-      eigen_assert(i>=0 && j>=0 && i<size() && j<size());
-      std::swap(indices().coeffRef(i), indices().coeffRef(j));
-      return derived();
-    }
-
-    /** \returns the inverse permutation matrix.
-      *
-      * \note \note_try_to_help_rvo
-      */
-    inline Transpose<PermutationBase> inverse() const
-    { return derived(); }
-    /** \returns the tranpose permutation matrix.
-      *
-      * \note \note_try_to_help_rvo
-      */
-    inline Transpose<PermutationBase> transpose() const
-    { return derived(); }
-
-    /**** multiplication helpers to hopefully get RVO ****/
-
-  
-#ifndef EIGEN_PARSED_BY_DOXYGEN
-  protected:
-    template<typename OtherDerived>
-    void assignTranspose(const PermutationBase<OtherDerived>& other)
-    {
-      for (int i=0; i<rows();++i) indices().coeffRef(other.indices().coeff(i)) = i;
-    }
-    template<typename Lhs,typename Rhs>
-    void assignProduct(const Lhs& lhs, const Rhs& rhs)
-    {
-      eigen_assert(lhs.cols() == rhs.rows());
-      for (int i=0; i<rows();++i) indices().coeffRef(i) = lhs.indices().coeff(rhs.indices().coeff(i));
-    }
-#endif
-
-  public:
-
-    /** \returns the product permutation matrix.
-      *
-      * \note \note_try_to_help_rvo
-      */
-    template<typename Other>
-    inline PlainPermutationType operator*(const PermutationBase<Other>& other) const
-    { return PlainPermutationType(internal::PermPermProduct, derived(), other.derived()); }
-
-    /** \returns the product of a permutation with another inverse permutation.
-      *
-      * \note \note_try_to_help_rvo
-      */
-    template<typename Other>
-    inline PlainPermutationType operator*(const Transpose<PermutationBase<Other> >& other) const
-    { return PlainPermutationType(internal::PermPermProduct, *this, other.eval()); }
-
-    /** \returns the product of an inverse permutation with another permutation.
-      *
-      * \note \note_try_to_help_rvo
-      */
-    template<typename Other> friend
-    inline PlainPermutationType operator*(const Transpose<PermutationBase<Other> >& other, const PermutationBase& perm)
-    { return PlainPermutationType(internal::PermPermProduct, other.eval(), perm); }
-
-  protected:
-
-};
-
-/** \class PermutationMatrix
-  * \ingroup Core_Module
-  *
-  * \brief Permutation matrix
-  *
-  * \param SizeAtCompileTime the number of rows/cols, or Dynamic
-  * \param MaxSizeAtCompileTime the maximum number of rows/cols, or Dynamic. This optional parameter defaults to SizeAtCompileTime. Most of the time, you should not have to specify it.
-  * \param IndexType the interger type of the indices
-  *
-  * This class represents a permutation matrix, internally stored as a vector of integers.
-  *
-  * \sa class PermutationBase, class PermutationWrapper, class DiagonalMatrix
-  */
-
-namespace internal {
-template<int SizeAtCompileTime, int MaxSizeAtCompileTime, typename IndexType>
-struct traits<PermutationMatrix<SizeAtCompileTime, MaxSizeAtCompileTime, IndexType> >
- : traits<Matrix<IndexType,SizeAtCompileTime,SizeAtCompileTime,0,MaxSizeAtCompileTime,MaxSizeAtCompileTime> >
-{
-  typedef IndexType Index;
-  typedef Matrix<IndexType, SizeAtCompileTime, 1, 0, MaxSizeAtCompileTime, 1> IndicesType;
-};
-}
-
-template<int SizeAtCompileTime, int MaxSizeAtCompileTime, typename IndexType>
-class PermutationMatrix : public PermutationBase<PermutationMatrix<SizeAtCompileTime, MaxSizeAtCompileTime, IndexType> >
-{
-    typedef PermutationBase<PermutationMatrix> Base;
-    typedef internal::traits<PermutationMatrix> Traits;
-  public:
-
-    #ifndef EIGEN_PARSED_BY_DOXYGEN
-    typedef typename Traits::IndicesType IndicesType;
-    #endif
-
-    inline PermutationMatrix()
-    {}
-
-    /** Constructs an uninitialized permutation matrix of given size.
-      */
-    inline PermutationMatrix(int size) : m_indices(size)
-    {}
-
-    /** Copy constructor. */
-    template<typename OtherDerived>
-    inline PermutationMatrix(const PermutationBase<OtherDerived>& other)
-      : m_indices(other.indices()) {}
-
-    #ifndef EIGEN_PARSED_BY_DOXYGEN
-    /** Standard copy constructor. Defined only to prevent a default copy constructor
-      * from hiding the other templated constructor */
-    inline PermutationMatrix(const PermutationMatrix& other) : m_indices(other.indices()) {}
-    #endif
-
-    /** Generic constructor from expression of the indices. The indices
-      * array has the meaning that the permutations sends each integer i to indices[i].
-      *
-      * \warning It is your responsibility to check that the indices array that you passes actually
-      * describes a permutation, i.e., each value between 0 and n-1 occurs exactly once, where n is the
-      * array's size.
-      */
-    template<typename Other>
-    explicit inline PermutationMatrix(const MatrixBase<Other>& indices) : m_indices(indices)
-    {}
-
-    /** Convert the Transpositions \a tr to a permutation matrix */
-    template<typename Other>
-    explicit PermutationMatrix(const TranspositionsBase<Other>& tr)
-      : m_indices(tr.size())
-    {
-      *this = tr;
-    }
-
-    /** Copies the other permutation into *this */
-    template<typename Other>
-    PermutationMatrix& operator=(const PermutationBase<Other>& other)
-    {
-      m_indices = other.indices();
-      return *this;
-    }
-
-    /** Assignment from the Transpositions \a tr */
-    template<typename Other>
-    PermutationMatrix& operator=(const TranspositionsBase<Other>& tr)
-    {
-      return Base::operator=(tr.derived());
-    }
-
-    #ifndef EIGEN_PARSED_BY_DOXYGEN
-    /** This is a special case of the templated operator=. Its purpose is to
-      * prevent a default operator= from hiding the templated operator=.
-      */
-    PermutationMatrix& operator=(const PermutationMatrix& other)
-    {
-      m_indices = other.m_indices;
-      return *this;
-    }
-    #endif
-
-    /** const version of indices(). */
-    const IndicesType& indices() const { return m_indices; }
-    /** \returns a reference to the stored array representing the permutation. */
-    IndicesType& indices() { return m_indices; }
-
-
-    /**** multiplication helpers to hopefully get RVO ****/
-
-#ifndef EIGEN_PARSED_BY_DOXYGEN
-    template<typename Other>
-    PermutationMatrix(const Transpose<PermutationBase<Other> >& other)
-      : m_indices(other.nestedPermutation().size())
-    {
-      for (int i=0; i<m_indices.size();++i) m_indices.coeffRef(other.nestedPermutation().indices().coeff(i)) = i;
-    }
-    template<typename Lhs,typename Rhs>
-    PermutationMatrix(internal::PermPermProduct_t, const Lhs& lhs, const Rhs& rhs)
-      : m_indices(lhs.indices().size())
-    {
-      Base::assignProduct(lhs,rhs);
-    }
-#endif
-
-  protected:
-
-    IndicesType m_indices;
-};
-
-
-namespace internal {
-template<int SizeAtCompileTime, int MaxSizeAtCompileTime, typename IndexType, int _PacketAccess>
-struct traits<Map<PermutationMatrix<SizeAtCompileTime, MaxSizeAtCompileTime, IndexType>,_PacketAccess> >
- : traits<Matrix<IndexType,SizeAtCompileTime,SizeAtCompileTime,0,MaxSizeAtCompileTime,MaxSizeAtCompileTime> >
-{
-  typedef IndexType Index;
-  typedef Map<const Matrix<IndexType, SizeAtCompileTime, 1, 0, MaxSizeAtCompileTime, 1>, _PacketAccess> IndicesType;
-};
-}
-
-template<int SizeAtCompileTime, int MaxSizeAtCompileTime, typename IndexType, int _PacketAccess>
-class Map<PermutationMatrix<SizeAtCompileTime, MaxSizeAtCompileTime, IndexType>,_PacketAccess>
-  : public PermutationBase<Map<PermutationMatrix<SizeAtCompileTime, MaxSizeAtCompileTime, IndexType>,_PacketAccess> >
-{
-    typedef PermutationBase<Map> Base;
-    typedef internal::traits<Map> Traits;
-  public:
-
-    #ifndef EIGEN_PARSED_BY_DOXYGEN
-    typedef typename Traits::IndicesType IndicesType;
-    typedef typename IndicesType::Scalar Index;
-    #endif
-
-    inline Map(const Index* indices)
-      : m_indices(indices)
-    {}
-
-    inline Map(const Index* indices, Index size)
-      : m_indices(indices,size)
-    {}
-
-    /** Copies the other permutation into *this */
-    template<typename Other>
-    Map& operator=(const PermutationBase<Other>& other)
-    { return Base::operator=(other.derived()); }
-
-    /** Assignment from the Transpositions \a tr */
-    template<typename Other>
-    Map& operator=(const TranspositionsBase<Other>& tr)
-    { return Base::operator=(tr.derived()); }
-
-    #ifndef EIGEN_PARSED_BY_DOXYGEN
-    /** This is a special case of the templated operator=. Its purpose is to
-      * prevent a default operator= from hiding the templated operator=.
-      */
-    Map& operator=(const Map& other)
-    {
-      m_indices = other.m_indices;
-      return *this;
-    }
-    #endif
-
-    /** const version of indices(). */
-    const IndicesType& indices() const { return m_indices; }
-    /** \returns a reference to the stored array representing the permutation. */
-    IndicesType& indices() { return m_indices; }
-
-  protected:
-
-    IndicesType m_indices;
-};
-
-/** \class PermutationWrapper
-  * \ingroup Core_Module
-  *
-  * \brief Class to view a vector of integers as a permutation matrix
-  *
-  * \param _IndicesType the type of the vector of integer (can be any compatible expression)
-  *
-  * This class allows to view any vector expression of integers as a permutation matrix.
-  *
-  * \sa class PermutationBase, class PermutationMatrix
-  */
-
-struct PermutationStorage {};
-
-template<typename _IndicesType> class TranspositionsWrapper;
-namespace internal {
-template<typename _IndicesType>
-struct traits<PermutationWrapper<_IndicesType> >
-{
-  typedef PermutationStorage StorageKind;
-  typedef typename _IndicesType::Scalar Scalar;
-  typedef typename _IndicesType::Scalar Index;
-  typedef _IndicesType IndicesType;
-  enum {
-    RowsAtCompileTime = _IndicesType::SizeAtCompileTime,
-    ColsAtCompileTime = _IndicesType::SizeAtCompileTime,
-    MaxRowsAtCompileTime = IndicesType::MaxRowsAtCompileTime,
-    MaxColsAtCompileTime = IndicesType::MaxColsAtCompileTime,
-    Flags = 0,
-    CoeffReadCost = _IndicesType::CoeffReadCost
-  };
-};
-}
-
-template<typename _IndicesType>
-class PermutationWrapper : public PermutationBase<PermutationWrapper<_IndicesType> >
-{
-    typedef PermutationBase<PermutationWrapper> Base;
-    typedef internal::traits<PermutationWrapper> Traits;
-  public:
-
-    #ifndef EIGEN_PARSED_BY_DOXYGEN
-    typedef typename Traits::IndicesType IndicesType;
-    #endif
-
-    inline PermutationWrapper(const IndicesType& indices)
-      : m_indices(indices)
-    {}
-
-    /** const version of indices(). */
-    const typename internal::remove_all<typename IndicesType::Nested>::type&
-    indices() const { return m_indices; }
-
-  protected:
-
-    typename IndicesType::Nested m_indices;
-};
-
-/** \returns the matrix with the permutation applied to the columns.
-  */
-template<typename Derived, typename PermutationDerived>
-inline const internal::permut_matrix_product_retval<PermutationDerived, Derived, OnTheRight>
-operator*(const MatrixBase<Derived>& matrix,
-          const PermutationBase<PermutationDerived> &permutation)
-{
-  return internal::permut_matrix_product_retval
-           <PermutationDerived, Derived, OnTheRight>
-           (permutation.derived(), matrix.derived());
-}
-
-/** \returns the matrix with the permutation applied to the rows.
-  */
-template<typename Derived, typename PermutationDerived>
-inline const internal::permut_matrix_product_retval
-               <PermutationDerived, Derived, OnTheLeft>
-operator*(const PermutationBase<PermutationDerived> &permutation,
-          const MatrixBase<Derived>& matrix)
-{
-  return internal::permut_matrix_product_retval
-           <PermutationDerived, Derived, OnTheLeft>
-           (permutation.derived(), matrix.derived());
-}
-
-namespace internal {
-
-template<typename PermutationType, typename MatrixType, int Side, bool Transposed>
-struct traits<permut_matrix_product_retval<PermutationType, MatrixType, Side, Transposed> >
-{
-  typedef typename MatrixType::PlainObject ReturnType;
-};
-
-template<typename PermutationType, typename MatrixType, int Side, bool Transposed>
-struct permut_matrix_product_retval
- : public ReturnByValue<permut_matrix_product_retval<PermutationType, MatrixType, Side, Transposed> >
-{
-    typedef typename remove_all<typename MatrixType::Nested>::type MatrixTypeNestedCleaned;
-
-    permut_matrix_product_retval(const PermutationType& perm, const MatrixType& matrix)
-      : m_permutation(perm), m_matrix(matrix)
-    {}
-
-    inline int rows() const { return m_matrix.rows(); }
-    inline int cols() const { return m_matrix.cols(); }
-
-    template<typename Dest> inline void evalTo(Dest& dst) const
-    {
-      const int n = Side==OnTheLeft ? rows() : cols();
-
-      if(is_same<MatrixTypeNestedCleaned,Dest>::value && extract_data(dst) == extract_data(m_matrix))
-      {
-        // apply the permutation inplace
-        Matrix<bool,PermutationType::RowsAtCompileTime,1,0,PermutationType::MaxRowsAtCompileTime> mask(m_permutation.size());
-        mask.fill(false);
-        int r = 0;
-        while(r < m_permutation.size())
-        {
-          // search for the next seed
-          while(r<m_permutation.size() && mask[r]) r++;
-          if(r>=m_permutation.size())
-            break;
-          // we got one, let's follow it until we are back to the seed
-          int k0 = r++;
-          int kPrev = k0;
-          mask.coeffRef(k0) = true;
-          for(int k=m_permutation.indices().coeff(k0); k!=k0; k=m_permutation.indices().coeff(k))
-          {
-                  Block<Dest, Side==OnTheLeft ? 1 : Dest::RowsAtCompileTime, Side==OnTheRight ? 1 : Dest::ColsAtCompileTime>(dst, k)
-            .swap(Block<Dest, Side==OnTheLeft ? 1 : Dest::RowsAtCompileTime, Side==OnTheRight ? 1 : Dest::ColsAtCompileTime>
-                       (dst,((Side==OnTheLeft) ^ Transposed) ? k0 : kPrev));
-
-            mask.coeffRef(k) = true;
-            kPrev = k;
-          }
-        }
-      }
-      else
-      {
-        for(int i = 0; i < n; ++i)
-        {
-          Block<Dest, Side==OnTheLeft ? 1 : Dest::RowsAtCompileTime, Side==OnTheRight ? 1 : Dest::ColsAtCompileTime>
-               (dst, ((Side==OnTheLeft) ^ Transposed) ? m_permutation.indices().coeff(i) : i)
-
-          =
-
-          Block<const MatrixTypeNestedCleaned,Side==OnTheLeft ? 1 : MatrixType::RowsAtCompileTime,Side==OnTheRight ? 1 : MatrixType::ColsAtCompileTime>
-               (m_matrix, ((Side==OnTheRight) ^ Transposed) ? m_permutation.indices().coeff(i) : i);
-        }
-      }
-    }
-
-  protected:
-    const PermutationType& m_permutation;
-    typename MatrixType::Nested m_matrix;
-};
-
-/* Template partial specialization for transposed/inverse permutations */
-
-template<typename Derived>
-struct traits<Transpose<PermutationBase<Derived> > >
- : traits<Derived>
-{};
-
-} // end namespace internal
-
-template<typename Derived>
-class Transpose<PermutationBase<Derived> >
-  : public EigenBase<Transpose<PermutationBase<Derived> > >
-{
-    typedef Derived PermutationType;
-    typedef typename PermutationType::IndicesType IndicesType;
-    typedef typename PermutationType::PlainPermutationType PlainPermutationType;
-  public:
-
-    #ifndef EIGEN_PARSED_BY_DOXYGEN
-    typedef internal::traits<PermutationType> Traits;
-    typedef typename Derived::DenseMatrixType DenseMatrixType;
-    enum {
-      Flags = Traits::Flags,
-      CoeffReadCost = Traits::CoeffReadCost,
-      RowsAtCompileTime = Traits::RowsAtCompileTime,
-      ColsAtCompileTime = Traits::ColsAtCompileTime,
-      MaxRowsAtCompileTime = Traits::MaxRowsAtCompileTime,
-      MaxColsAtCompileTime = Traits::MaxColsAtCompileTime
-    };
-    typedef typename Traits::Scalar Scalar;
-    #endif
-
-    Transpose(const PermutationType& p) : m_permutation(p) {}
-
-    inline int rows() const { return m_permutation.rows(); }
-    inline int cols() const { return m_permutation.cols(); }
-
-    #ifndef EIGEN_PARSED_BY_DOXYGEN
-    template<typename DenseDerived>
-    void evalTo(MatrixBase<DenseDerived>& other) const
-    {
-      other.setZero();
-      for (int i=0; i<rows();++i)
-        other.coeffRef(i, m_permutation.indices().coeff(i)) = typename DenseDerived::Scalar(1);
-    }
-    #endif
-
-    /** \return the equivalent permutation matrix */
-    PlainPermutationType eval() const { return *this; }
-
-    DenseMatrixType toDenseMatrix() const { return *this; }
-
-    /** \returns the matrix with the inverse permutation applied to the columns.
-      */
-    template<typename OtherDerived> friend
-    inline const internal::permut_matrix_product_retval<PermutationType, OtherDerived, OnTheRight, true>
-    operator*(const MatrixBase<OtherDerived>& matrix, const Transpose& trPerm)
-    {
-      return internal::permut_matrix_product_retval<PermutationType, OtherDerived, OnTheRight, true>(trPerm.m_permutation, matrix.derived());
-    }
-
-    /** \returns the matrix with the inverse permutation applied to the rows.
-      */
-    template<typename OtherDerived>
-    inline const internal::permut_matrix_product_retval<PermutationType, OtherDerived, OnTheLeft, true>
-    operator*(const MatrixBase<OtherDerived>& matrix) const
-    {
-      return internal::permut_matrix_product_retval<PermutationType, OtherDerived, OnTheLeft, true>(m_permutation, matrix.derived());
-    }
-
-    const PermutationType& nestedPermutation() const { return m_permutation; }
-
-  protected:
-    const PermutationType& m_permutation;
-};
-
-template<typename Derived>
-const PermutationWrapper<const Derived> MatrixBase<Derived>::asPermutation() const
-{
-  return derived();
-}
-
-} // end namespace Eigen
-
-#endif // EIGEN_PERMUTATIONMATRIX_H
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Benoit Jacob	a16d18a632	update version number to 2.0.1	2009-04-14 14:32:00 +00:00
Benoit Jacob	3c3653b9de	merge 953719: fix 4x4 inverse	2009-04-14 13:43:21 +00:00
Gael Guennebaud	c15842c374	backporting rev 951682 (compilation fix in aligned allocator)	2009-04-09 21:23:25 +00:00
Benoit Jacob	3c90fc2e64	patch by Hauke Heibel: compilation fix with VS 9	2009-04-09 12:05:36 +00:00
Benoit Jacob	d9c9508a12	backport 947492 -- fix static assertion / patch by Markus Moll	2009-03-31 16:08:06 +00:00
Gael Guennebaud	d6bb34fa5a	backporting various bug fixes related to MapBase/Map/Block and new StdVector workaround because the previous was really too limited. I hope it is not a too big change for a "stable" branch.	2009-03-24 08:20:43 +00:00
Gael Guennebaud	e5b5ab53b8	backporting bugfix in SliceVectorization	2009-03-07 15:12:42 +00:00
Gael Guennebaud	f2829c1358	backporting rev 918446: fix MSVC internal compilation error	2009-03-06 22:18:26 +00:00
Benoit Jacob	d38504a4c8	backport 921254-921261 to the branch: disable alignment altogether on exotic platforms	2009-02-16 16:29:33 +00:00
Gael Guennebaud	95e4508b04	backporting rev925153 (bugfix in MapBase::coeffRef(int) )	2009-02-12 15:32:32 +00:00
Benoit Jacob	b064b5e68e	forgot to update version number	2009-02-02 16:18:42 +00:00
Benoit Jacob	f7df9f92ff	backport 919961 and 920175	2009-02-02 14:26:40 +00:00
Benoit Jacob	d2dcca52a3	backport 920106: BSD's don't have aligned malloc	2009-02-02 13:24:17 +00:00
Gael Guennebaud	7408e923a7	backporting commit 918468 (fix MSVC internal error)	2009-01-29 23:14:51 +00:00
Gael Guennebaud	18ca438a62	backport r917694 (Patch from Frank fixing stupid MSVC internal crash)	2009-01-28 15:18:28 +00:00
Benoit Jacob	d286300362	backport unit-tests fixes	2009-01-27 20:56:47 +00:00
Benoit Jacob	02ba4e2f54	backport compilation fix	2009-01-27 17:46:02 +00:00
Benoit Jacob	2eef21a8d5	branch eigen 2.0	2009-01-27 17:26:44 +00:00