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restart Eigen2 development from scratch.

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This commit is contained in:
Benoit Jacob
2007-09-01 10:47:07 +00:00
parent bb114eb67f
commit 7eeb620880
167 changed files with 0 additions and 34603 deletions
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3
CMakeLists.txt
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@@ -1,7 +1,5 @@
project(Eigen)
set(CMAKE_MODULE_PATH "${CMAKE_SOURCE_DIR}/cmake/modules")
OPTION(BUILD_TESTS "Build tests" OFF)
OPTION(BUILD_EXAMPLES "Build examples" OFF)
@@ -16,4 +14,3 @@ endif (CMAKE_COMPILER_IS_GNUCXX)
include_directories( ${CMAKE_SOURCE_DIR} ${CMAKE_BINARY_DIR} )
add_subdirectory(tvmet-1.7.1)

47
TODO
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@@ -1,47 +0,0 @@
Eigen 2 business plan, aka TODO.
This is the work branch for Eigen2, eventually to supersede to Eigen 1 in
/trunk/kdesupport/eigen.
Eigen2 starts as a fork of the orphaned code of Tvmet.
- Phase A: cleanup and reorganize Tvmet code.
-- port from autotools to CMake (IN PROGRESS)
-- Remove unneeded/obsolete configure checks (IN PROGRESS)
-- Remove other unneeded defines and #ifdefs, like TVMET_DYNAMIC_MEMORY
(we want to use fixed-size only at this stage).
-- Make sure the test-suite compiles and succeeds.
-- add a meta-header including all headers (requested by Andre)
- Phase B: Complete the fixed-size part of Eigen 2.
-- Add to the Vector and Matrix classes all the useful methods from
Eigen 1. Also implement the other useful features from Eigen 1, like
projective geometry, linear regression, quaternions.
Make sure all that works nicely with the expression templates.
-- review the API for consistency, naming scheme etc.
-- Make sure all the optimizations of Eigen 1 survive in Eigen 2. For
instance, in Eigen 1 we hand-unroll most of the nested loops that GCC 4.1
fails to unroll. This is most useful and we need to make sure that Eigen 2
does it too.
-- Extend the test-suite to cover everything.
-- Rename consistently Tvmet to Eigen while giving credit (keep copyright
lines, mention Tvmet in documentation, README, website, etc.)
- Phase C: Do the dynamic-size part of Eigen 2 (as a GMM++ wrapper).
-- Import a SVN snapshot of GMM++ (there have been useful changes since the
last stable release 2.0.2).
-- Write the wrapping classes using the expression template mechanisms from
Tvmet.
-- Evaluate adding some methods/functions from Eigen 1, like those for linear
regression.
-- Review the whole API (fixed-size and dynamic-size) for consistency and
add bridges between the fixed-size and dynamic-size classes: constructors,
conversion operators, etc.
-- In a perfect world we would be able to do dynamic-size matrices with
fixed-size-matrix entries.
-- give credit to GMM in the documentation, README, website, etc.
- Phase D: ??????
- Phase E: $$$ Profit!!! $$$

44
cmake/modules/CheckAlwaysInline.cmake
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@@ -1,44 +0,0 @@
# This module checks if the C++ compiler supports
# __attribute__((always_inline)).
#
# If yes, _RESULT is set to __attribute__((always_inline)).
# If no, _RESULT is set to empty value.
#
# Copyright Benoit Jacob 2007 <jacob@math.jussieu.fr>
#
# Redistribution and use is allowed according to the terms of the BSD license.
# For details see the accompanying COPYING-CMAKE-SCRIPTS file in
# kdelibs/cmake/modules.
INCLUDE(CheckCXXSourceCompiles)
MACRO (CHECK_ALWAYS_INLINE _RESULT)
SET(_CHECK_attribute_always_inline_SRC "
#ifdef __GNUC__
# define ALL_IS_WELL
#endif
#ifdef __INTEL_COMPILER
# if (__INTEL_COMPILER == 800) || (__INTEL_COMPILER > 800)
# define ALL_IS_WELL
# endif
#endif
#ifndef ALL_IS_WELL
# error I guess your compiler doesn't support __attribute__((always_inline))
#endif
int main(int argc, char *argv[]) { return 0; }
")
CHECK_CXX_SOURCE_COMPILES("${_CHECK_attribute_always_inline_SRC}"
HAVE_attribute_always_inline)
IF(HAVE_attribute_always_inline)
SET(${_RESULT} "__attribute__((always_inline))")
ELSE(HAVE_attribute_always_inline)
SET(${_RESULT} ) # attribute always_inline unsupported
ENDIF(HAVE_attribute_always_inline)
ENDMACRO (CHECK_ALWAYS_INLINE)

87
cmake/modules/CheckRestrictKeyword.cmake
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@@ -1,87 +0,0 @@
# This module checks if the C++ compiler supports the restrict keyword or
# some variant of it. The following variants are checked for in that order:
# 1. restrict (The standard C99 keyword, not yet in C++ standard)
# 2. __restrict (G++ has it)
# 3. __restrict__ (G++ has it too)
# 4. _Restrict (seems to be used by Sun's compiler)
# These four cases seem to cover all existing variants; however some C++
# compilers don't support any variant, in which case the _RESULT variable is
# set to empty value.
#
# Copyright Benoit Jacob 2007 <jacob@math.jussieu.fr>
#
# Redistribution and use is allowed according to the terms of the BSD license.
# For details see the accompanying COPYING-CMAKE-SCRIPTS file in
# kdelibs/cmake/modules.
INCLUDE(CheckCXXSourceCompiles)
MACRO (CHECK_RESTRICT_KEYWORD _RESULT)
SET(_CHECK_restrict_KEYWORD_SRC "
char f( const char * restrict x )
{
return *x;
}
int main(int argc, char *argv[]) { return 0; }
")
SET(_CHECK___restrict_KEYWORD_SRC "
char f( const char * __restrict x )
{
return *x;
}
int main(int argc, char *argv[]) { return 0; }
")
SET(_CHECK___restrict___KEYWORD_SRC "
char f( const char * __restrict__ x )
{
return *x;
}
int main(int argc, char *argv[]) { return 0; }
")
SET(_CHECK__Restrict_KEYWORD_SRC "
char f( const char * _Restrict x )
{
return *x;
}
int main(int argc, char *argv[]) { return 0; }
")
CHECK_CXX_SOURCE_COMPILES("${_CHECK_restrict_KEYWORD_SRC}"
HAVE_KEYWORD_restrict)
IF(HAVE_KEYWORD_restrict)
SET(${_RESULT} restrict)
ELSE(HAVE_KEYWORD_restrict)
CHECK_CXX_SOURCE_COMPILES("${_CHECK___restrict_KEYWORD_SRC}"
HAVE_KEYWORD___restrict)
IF(HAVE_KEYWORD___restrict)
SET(${_RESULT} __restrict)
ELSE(HAVE_KEYWORD___restrict)
CHECK_CXX_SOURCE_COMPILES("${_CHECK___restrict___KEYWORD_SRC}"
HAVE_KEYWORD___restrict__)
IF(HAVE_KEYWORD___restrict__)
SET(${_RESULT} __restrict__)
ELSE(HAVE_KEYWORD___restrict__)
CHECK_CXX_SOURCE_COMPILES("${_CHECK__Restrict_KEYWORD_SRC}"
HAVE_KEYWORD__Restrict)
IF(HAVE_KEYWORD__Restrict)
SET(${_RESULT} _Restrict)
ELSE(HAVE_KEYWORD__Restrict)
SET(${_RESULT} ) # no variant of restrict keyword supported
ENDIF(HAVE_KEYWORD__Restrict)
ENDIF(HAVE_KEYWORD___restrict__)
ENDIF(HAVE_KEYWORD___restrict)
ENDIF(HAVE_KEYWORD_restrict)
ENDMACRO (CHECK_RESTRICT_KEYWORD)

1
tvmet-1.7.1/AUTHORS
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@@ -1 +0,0 @@
Olaf Petzold <opetzold@users.sourceforge.net>

2
tvmet-1.7.1/CMakeLists.txt
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@@ -1,2 +0,0 @@
ADD_SUBDIRECTORY(include)
ADD_SUBDIRECTORY(testsuite)

504
tvmet-1.7.1/COPYING
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@@ -1,504 +0,0 @@
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This library 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 2.1 of the License, or (at your option) any later version.
This library 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 for more details.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
Also add information on how to contact you by electronic and paper mail.
You should also get your employer (if you work as a programmer) or your
school, if any, to sign a "copyright disclaimer" for the library, if
necessary. Here is a sample; alter the names:
Yoyodyne, Inc., hereby disclaims all copyright interest in the
library `Frob' (a library for tweaking knobs) written by James Random Hacker.
<signature of Ty Coon>, 1 April 1990
Ty Coon, President of Vice
That's all there is to it!

229
tvmet-1.7.1/INSTALL
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@@ -1,229 +0,0 @@
Copyright (C) 1994, 1995, 1996, 1999, 2000, 2001, 2002 Free Software
Foundation, Inc.
This file is free documentation; the Free Software Foundation gives
unlimited permission to copy, distribute and modify it.
Basic Installation
==================
These are generic installation instructions.
The `configure' shell script attempts to guess correct values for
various system-dependent variables used during compilation. It uses
those values to create a `Makefile' in each directory of the package.
It may also create one or more `.h' files containing system-dependent
definitions. Finally, it creates a shell script `config.status' that
you can run in the future to recreate the current configuration, and a
file `config.log' containing compiler output (useful mainly for
debugging `configure').
It can also use an optional file (typically called `config.cache'
and enabled with `--cache-file=config.cache' or simply `-C') that saves
the results of its tests to speed up reconfiguring. (Caching is
disabled by default to prevent problems with accidental use of stale
cache files.)
If you need to do unusual things to compile the package, please try
to figure out how `configure' could check whether to do them, and mail
diffs or instructions to the address given in the `README' so they can
be considered for the next release. If you are using the cache, and at
some point `config.cache' contains results you don't want to keep, you
may remove or edit it.
The file `configure.ac' (or `configure.in') is used to create
`configure' by a program called `autoconf'. You only need
`configure.ac' if you want to change it or regenerate `configure' using
a newer version of `autoconf'.
The simplest way to compile this package is:
1. `cd' to the directory containing the package's source code and type
`./configure' to configure the package for your system. If you're
using `csh' on an old version of System V, you might need to type
`sh ./configure' instead to prevent `csh' from trying to execute
`configure' itself.
Running `configure' takes awhile. While running, it prints some
messages telling which features it is checking for.
2. Type `make' to compile the package.
3. Optionally, type `make check' to run any self-tests that come with
the package.
4. Type `make install' to install the programs and any data files and
documentation.
5. You can remove the program binaries and object files from the
source code directory by typing `make clean'. To also remove the
files that `configure' created (so you can compile the package for
a different kind of computer), type `make distclean'. There is
also a `make maintainer-clean' target, but that is intended mainly
for the package's developers. If you use it, you may have to get
all sorts of other programs in order to regenerate files that came
with the distribution.
Compilers and Options
=====================
Some systems require unusual options for compilation or linking that
the `configure' script does not know about. Run `./configure --help'
for details on some of the pertinent environment variables.
You can give `configure' initial values for configuration parameters
by setting variables in the command line or in the environment. Here
is an example:
./configure CC=c89 CFLAGS=-O2 LIBS=-lposix
*Note Defining Variables::, for more details.
Compiling For Multiple Architectures
====================================
You can compile the package for more than one kind of computer at the
same time, by placing the object files for each architecture in their
own directory. To do this, you must use a version of `make' that
supports the `VPATH' variable, such as GNU `make'. `cd' to the
directory where you want the object files and executables to go and run
the `configure' script. `configure' automatically checks for the
source code in the directory that `configure' is in and in `..'.
If you have to use a `make' that does not support the `VPATH'
variable, you have to compile the package for one architecture at a
time in the source code directory. After you have installed the
package for one architecture, use `make distclean' before reconfiguring
for another architecture.
Installation Names
==================
By default, `make install' will install the package's files in
`/usr/local/bin', `/usr/local/man', etc. You can specify an
installation prefix other than `/usr/local' by giving `configure' the
option `--prefix=PATH'.
You can specify separate installation prefixes for
architecture-specific files and architecture-independent files. If you
give `configure' the option `--exec-prefix=PATH', the package will use
PATH as the prefix for installing programs and libraries.
Documentation and other data files will still use the regular prefix.
In addition, if you use an unusual directory layout you can give
options like `--bindir=PATH' to specify different values for particular
kinds of files. Run `configure --help' for a list of the directories
you can set and what kinds of files go in them.
If the package supports it, you can cause programs to be installed
with an extra prefix or suffix on their names by giving `configure' the
option `--program-prefix=PREFIX' or `--program-suffix=SUFFIX'.
Optional Features
=================
Some packages pay attention to `--enable-FEATURE' options to
`configure', where FEATURE indicates an optional part of the package.
They may also pay attention to `--with-PACKAGE' options, where PACKAGE
is something like `gnu-as' or `x' (for the X Window System). The
`README' should mention any `--enable-' and `--with-' options that the
package recognizes.
For packages that use the X Window System, `configure' can usually
find the X include and library files automatically, but if it doesn't,
you can use the `configure' options `--x-includes=DIR' and
`--x-libraries=DIR' to specify their locations.
Specifying the System Type
==========================
There may be some features `configure' cannot figure out
automatically, but needs to determine by the type of machine the package
will run on. Usually, assuming the package is built to be run on the
_same_ architectures, `configure' can figure that out, but if it prints
a message saying it cannot guess the machine type, give it the
`--build=TYPE' option. TYPE can either be a short name for the system
type, such as `sun4', or a canonical name which has the form:
CPU-COMPANY-SYSTEM
where SYSTEM can have one of these forms:
OS KERNEL-OS
See the file `config.sub' for the possible values of each field. If
`config.sub' isn't included in this package, then this package doesn't
need to know the machine type.
If you are _building_ compiler tools for cross-compiling, you should
use the `--target=TYPE' option to select the type of system they will
produce code for.
If you want to _use_ a cross compiler, that generates code for a
platform different from the build platform, you should specify the
"host" platform (i.e., that on which the generated programs will
eventually be run) with `--host=TYPE'.
Sharing Defaults
================
If you want to set default values for `configure' scripts to share,
you can create a site shell script called `config.site' that gives
default values for variables like `CC', `cache_file', and `prefix'.
`configure' looks for `PREFIX/share/config.site' if it exists, then
`PREFIX/etc/config.site' if it exists. Or, you can set the
`CONFIG_SITE' environment variable to the location of the site script.
A warning: not all `configure' scripts look for a site script.
Defining Variables
==================
Variables not defined in a site shell script can be set in the
environment passed to `configure'. However, some packages may run
configure again during the build, and the customized values of these
variables may be lost. In order to avoid this problem, you should set
them in the `configure' command line, using `VAR=value'. For example:
./configure CC=/usr/local2/bin/gcc
will cause the specified gcc to be used as the C compiler (unless it is
overridden in the site shell script).
`configure' Invocation
======================
`configure' recognizes the following options to control how it
operates.
`--help'
`-h'
Print a summary of the options to `configure', and exit.
`--version'
`-V'
Print the version of Autoconf used to generate the `configure'
script, and exit.
`--cache-file=FILE'
Enable the cache: use and save the results of the tests in FILE,
traditionally `config.cache'. FILE defaults to `/dev/null' to
disable caching.
`--config-cache'
`-C'
Alias for `--cache-file=config.cache'.
`--quiet'
`--silent'
`-q'
Do not print messages saying which checks are being made. To
suppress all normal output, redirect it to `/dev/null' (any error
messages will still be shown).
`--srcdir=DIR'
Look for the package's source code in directory DIR. Usually
`configure' can determine that directory automatically.
`configure' also accepts some other, not widely useful, options. Run
`configure --help' for more details.

53
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@@ -1,53 +0,0 @@
ADDENDUM TO LICENSE
Februar 2003
Copyright (C) 2003 Olaf Petzold
Everyone is permitted to copy and distribute verbatim copies
of this license addendum document, but changing it is not allowed.
tvmet License Agreement.
0. tvmet ("The Library") is licensed under GNU Lesser General Public License
as published by the Free Software Foundation, version 2.1 of the License, or
(at your option) any later version, with the following additional conditions.
The following conditions take precedence over any conditions or restrictions
stipulated by the Lesser General Public License insofar as a conflict exists.
1. The tvmet License Agreement ("License") covers only tvmet ("The Library").
Other libraries which the Library may use are covered by their own respective
licenses.
2. Modification of the configure scripts, makefiles, or installation tools of
the Library to support a specific platform does not constitute creating a
modified or derivative work based on the Library.
3. Statically linking of a copy of the Library against any work using the
Library, i.e. the inclusion of (parts of) the Library into a program or binary,
is functionally equivalent to a work using the Library by linking to it
dynamically, and therefore does not constitute creating a modified or derivative
work based on the Library.
4. Otherwise, if the work is a derivative of the Library, you may distribute
the object code for the work under the terms of the GNU Lesser General Public
License. Any executables containing that work also may be distributed under
the Lesser General Public License whether or not they are linked directly with
the Library itself.
5. Programs or binaries linked with the Library must be identified as such by
including, in the Documentation or by other means (for example in the About
Box or Online Help), the following statement:
"This software uses tvmet (http://tvmet.sourceforge.net)."
END OF ADDENDUM

190
tvmet-1.7.1/NEWS
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* release 1.7.1
- major and minor bug fix release.
- element wise operations on non square matrix expressions.
does work as expected now.
- tvmet compiles with gcc 3.4.3.
- extended docs.
- new regression tests.
* release 1.7.0
- support for Microsoft VC++ 7.1
- several critical bug fixes.
- docs enhanced and corrected; new chapter for VC++ 7.1.
- conj for signed types disabled, since an unary minus operator
applied to unsigned type will result unsigned type.
- drem, hypot, jn, yn, cbrt and rint are inside the global namespace
now.
- some fixes for Makefile on creating pdf documentation.
- header depencies limited.
* release 1.6.0
- major bug fix: tvmet did crash on zero matrix print (introduced
with release 1.5.0, there was only a patch available).
- corrected and extended docs.
- new regressions added for traits.
- some compiler specific optimizations for gcc and icc
(compatibility mode) introduced, use it by defined TVMET_OPTIMIZE.
This uses the gcc's __attribute__((always_inline)) wrapped by a
macro - this allows to produce high optimized and inline code
even on lower optimization levels, e.g. -O. This is enabled by
configure process by --enable-optimize.
- For pgCC 5.1 the TVMET_HAVE_LONG_DOUBLE has been disabled, since
the support is incomplete imo. For icc some pragma are used
to avoid warnings about 'operands are evaluated in unspecified
order' since it concerns ostream printing only.
- traits prepared to be an entry point of several functions
used in the feature.
- new functions c{matrix,vector}_ref to handle C style vectors
and arrays as expressions - using inside the tvmet Matrix/Vector
expressions as usual.
- tvmet's syntax/naming convention more cleaner, code should be
more readable now. Further more unused template parameter has
been removed.
- new function identity<>() to create identity matrices.
- some cosmetic changes.
* release 1.5.0
- the build process is more compliant to the GNU standard.
- alias function extended.
- Matrix and Vector data printing improved, gives better output
even by negative values/contents.
- configure script supports different compiler better; users
can specify --enable-optimize, --enable-debug and
--enable-warnings for their needs.
- the configure and build process has been improved generally;
tvmet can be build in a separate build directory and passes
the distcheck target successfully.
* release 1.4.1
- new function alias to solve the aliasing problem.
- major bug fix: forgotten header tvmet/loop/Vector.h added
and benchmark shows AtA and AAt graph with matrices
less than 10x10 too - the BTL patch is updated.
* release 1.4.0
- major and minor bug fixes
- Matrix/Vector and XprMatrix/XprVector uses an assign_to()
function - this could be a way for pre-evaluate/caching
nodes of the sub expressions for further releases.
- an alternate way of computing matrix-matrix and matrix-vector
products added: using meta templates or loops. Therefore some
trigger are introduced which are not tuned yet. Using
matrix-matrix products less than Rows*Cols 8*8 or
matrix-vector products less than Sz=8 uses meta templates
else loops.
- regression tests added for loop products, as well as bugs
fixed.
- enums Rows, Cols and Size for Matrix and Vector are
introduced.
- expression level printing improved - more info's are shown
- output format has been changed, the output is compatible
to octave/matlab. To get the type and size info as before
a new member function info() has been introduced which can
be streamed to ostreams.
- improved data printing, aligns output regarding of maximum
element.
- different members for expression and data printing.
- BTL benchmark results added.
* release 1.3.0
- major and minor bug fixes - all users should update !
- RVO problem/bug removed, chaining/composed expressions are
working now. The problem was related on use of temporaries
on composed functions, which gone out of scope.
- sources compiled without optimizations, by -O0, doesn't crash
any more. The Problem was related by holding expressions by
references instead by value. At higher optimization levels
there were no faults than.
- better english documentation (spelling and grammar) as well
some corrections and extensions.
- benchmark removed from sources.
- interface changes.
- prodTrans renamed to trans_prod to follow the naming convention
- boolean version of eval removed to avoid confusion, comparing
is done using all_elements and any_elements.
- support for complex<> slightly improved.
* release 1.2.1
- major and minor bug fixes.
- corrected and extended docs.
- tvmet's const correctness improved.
* release 1.2.0
- major and minor bug fixes
- better gcc 2.95.3 support but, still problems
- function naming convention from product to prod, transpose
to trans etc. changed.
- new functions add,sub,mul and div on element wise functions.
- expressions used for row/col and diag vectors on matrices,
prevents use of temporaries on expressions for pre-evaluation.
- Vector access using braces () is default on internal use,
brackets [] are still valid and supported.
- better debug support.
- regression test improved and more tests added, especially
on expressions.
- more functions and operators on functions.
- better header file layout.
* release 1.1.0
- major and minor bug fixes
- new meta templated functions for matrix operations for
product(transpose(M), M), product(M, transpose(M)) and
transpose(product(M,M)), namely MtM_product(), MMt_product
as well as productTransposed().
- productTranspose(M,V) renamed to Mtx_product(). In this
function is a return dimension bug removed (working for non-
square matrices too now).
- Therefore, old productTransposed() functions doesn't have
the old meaning any more!
- a matrix expression can be transposed too.
- new functions and operators for products of expression of
matrices and vectors added - chaining of this should work
now.
- better support for non-square matrices and non-square
matrix-matrix and matrix-vector functions/operations.
- regression test improved and more tests added.
- file and directory structure extended.
* release 1.0.1:
- minor bug fixes
* release 1.0.0:
- corrected and improved documents
- new product(XprMatrix, Vector) and operator*(XprMatrix, Vector)
as well as product(XprMatrix<>, XprVector<>),
- more regression tests
- better intel compiler support
- extended include directory structure
* release 0.9.0:
- the benchmark is delayed.
- new function product(XprMatrix<>,XprMatrix<>) and operator*
(XprMatrix<>,XprMatrix<>), therefore concating of mathematical
expressions are better supported now.
- Addendum to the LGPL, static linking is explicit allowed.
- regression tests for element wise operations added.
- docs FAQ enhanced.
- new function diag(Matrix<>) added.
- autoconf 2.5x ready.
- default distribution is tar.bz2 now.
- tvmet-doc-xxx.prm target removed, docs are inside the rpm
package self.
%%% Local IspellDict: "english"

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tvmet-1.7.1/README
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@@ -1,9 +0,0 @@
This tiny vector and matrix template libary uses meta templates and
template expressions to evaluate results at compile time - to make
it fast for low order systems. Temporaries are kicked off.
Nevertheless, this isn't a matlab or octave in C++!
For more informations please have a look into docs/html/ or to the
project web page at http://tvmet.sourceforge.net

49
tvmet-1.7.1/THANKS
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@@ -1,49 +0,0 @@
Thanks to:
- Alexei Sheplyakov reported a bug inside the matrix expressions
using elementwise operations and others.
- Robi Carnecky for his report on success using MS VC 7.1 and
reporting missing typename keyword inside CommaInitializer.h
and others.
- Krzysiek Goj found a bug inside the swap functions and
reported problems on calling functions in wrong namespace.
- Claudia Bertram for reporting a bug by printing a zero
elements matrix.
- Julian Cummings for his help on supporting complex types and
some other comments on tvmet.
- Alex V. Frolov found inconsistens on typepromotion used.
- David J. C. Beach, thanks! He checked the grammar and spelling
of tvmet's documents. Further more, he gave me hints for
any/all_elements and eval.
- David Sarrut for correction on the matrix column access bug.
- Holger Spiess, for his testing on real application (FEM), reporting
problems and conversations.
- Erik Kruus, he found a bug inside tvmet.m4.
- George Schnurer for his suggestions and help concerning the licensing
and the need to an addendum to it.
- Laurent Plagne, the author of the BTL, for his testing and comparing
tvmet against other libs and others.
- Jörg Walter about using uBlas faster assuming alias free operations.
Further more for his great conversation about benchmarking and others,
thanks!
- Jörg Barfurth from de.compl.lang.iso-c++ for his help on instance
problems with templates occoured on regressions test.
- Michael Kochetkov and Tom from comp.lang.c++ for help on namespace
problems. Now I know more about Koenig lookup and the problems due
too 8)
- Darin DeForest, he found a nasty bug inside the regression tests.

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tvmet-1.7.1/benchmark/Makefile.am
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# $Id: Makefile.am,v 1.4 2003/12/04 19:18:09 opetzold Exp $
EXTRA_DIST = BTL-20030124.patch

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# $Id: Makefile.am,v 1.22 2004/09/16 08:12:13 opetzold Exp $
AM_CXXFLAGS = -O \
-I@top_srcdir@/include -I@top_builddir@/include
DOXY_DOC = \
benchmark.dox \
build.dox \
compiler.dox \
faq.dox \
intro.dox \
license.dox \
links.dox \
misc.dox \
notes.dox \
projects.dox \
usage.dox \
works.dox
HTML_MISC = \
tvmet.css \
header.html footer.html.in
LTEX_MISC = \
tvmet.sty.in
BENCH_FIG = \
axpy.png \
matrix_matrix.png \
matrix_vector.png \
aat.png \
ata.png
EXTRA_DIST = \
$(DOXY_DOC) \
$(HTML_MISC) \
$(LTEX_MISC) \
$(BENCH_FIG)
DISTCLEANFILES = \
Doxyfile doxygen-warning \
footer.html tvmet.sty
# some depencies
Doxyfile: Doxyfile.in
footer.html: footer.html.in
tvmet.sty: tvmet.sty.in
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noinst_PROGRAMS = dox_operators dox_functions
dox_operators_SOURCES = dox_operators.cc Util.h
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#
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#
if CONFIG_DOC
#
# file created on the fly
#
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changelog.dox \
news.dox \
credits.dox \
install.dox \
operators.dox \
functions.dox
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$(DOXY_DOC) \
$(DOXY_BUILD) \
$(patsubst %.in, %, $(HTML_MISC))
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$(patsubst %.in, %, $(LTEX_MISC))
# file creating rules; not needed every time
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./dox_operators > operators.dox
functions.dox: dox_functions
./dox_functions > functions.dox
# file creating rules
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@echo "Making HTML manual"
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@$(RM) -f ./html/tvmet.sty
#
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#
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noinst_DATA = $(DOC_API_PDF)
all-local: $(noinst_DATA)
dvi-local:
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$(DOC_API_PDF): Doxyfile $(DOXY_LTEX_SRC)
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$(RM) $@; \
fi; \
TEXINPUTS=$(TEXINPUTS_PATH) $(MAKE) -C ./latex refman.pdf; \
$(LN_S) ./latex/refman.pdf $@; \
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@if test -f $(DOC_API_PDF); then \
$(RM) -f $(DOC_API_PDF); \
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$(RM) -rf html; \
fi
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fi
@if test -d rtf; then \
$(RM) -rf rtf; \
fi
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echo "please wait while archiving the html docs."; \
tar cf - -C ./html . | bzip2 --best -c > $(PACKAGE)-docs-$(VERSION).tar.bz2
# where to install all html documents
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# Automake's "distcheck" is sensitive to having files left over
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uninstall-local:
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rm -rf $(TVMET_DOC_DIR); \
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$(mkinstalldirs) $(TVMET_DOC_DIR); \
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@echo "install html"
@$(INSTALL_DATA) @top_builddir@/doc/html/* $(TVMET_DOC_DIR)
else
doc-dist:
install-data-hook:
endif # CONFIG_DOC
# --------------------------------------------------------
# in progress:
# make refman twoside
twoside:
class=`cat latex/refman.tex | grep documentclass`
newclass=`echo $$class | sed -e 's/twoside,//' -e 's/\[/\[twoside,/'`
@echo "class:" $$class
@echo "newclass:" $$newclass
cat latex/refman.tex | sed 's/$$class/$$newclass/' >foo

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tvmet-1.7.1/doc/Makefile.in
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@@ -1,687 +0,0 @@
# Makefile.in generated by automake 1.8.3 from Makefile.am.
# @configure_input@
# Copyright (C) 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002,
# 2003, 2004 Free Software Foundation, Inc.
# This Makefile.in is free software; the Free Software Foundation
# gives unlimited permission to copy and/or distribute it,
# with or without modifications, as long as this notice is preserved.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY, to the extent permitted by law; without
# even the implied warranty of MERCHANTABILITY or FITNESS FOR A
# PARTICULAR PURPOSE.
@SET_MAKE@
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intro.dox \
license.dox \
links.dox \
misc.dox \
notes.dox \
projects.dox \
usage.dox \
works.dox
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tvmet.css \
header.html footer.html.in
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footer.html: $(top_builddir)/config.status $(srcdir)/footer.html.in
cd $(top_builddir) && $(SHELL) ./config.status $(subdir)/$@
tvmet.sty: $(top_builddir)/config.status $(srcdir)/tvmet.sty.in
cd $(top_builddir) && $(SHELL) ./config.status $(subdir)/$@
clean-noinstPROGRAMS:
@list='$(noinst_PROGRAMS)'; for p in $$list; do \
f=`echo $$p|sed 's/$(EXEEXT)$$//'`; \
echo " rm -f $$p $$f"; \
rm -f $$p $$f ; \
done
dox_functions$(EXEEXT): $(dox_functions_OBJECTS) $(dox_functions_DEPENDENCIES)
@rm -f dox_functions$(EXEEXT)
$(CXXLINK) $(dox_functions_LDFLAGS) $(dox_functions_OBJECTS) $(dox_functions_LDADD) $(LIBS)
dox_operators$(EXEEXT): $(dox_operators_OBJECTS) $(dox_operators_DEPENDENCIES)
@rm -f dox_operators$(EXEEXT)
$(CXXLINK) $(dox_operators_LDFLAGS) $(dox_operators_OBJECTS) $(dox_operators_LDADD) $(LIBS)
mostlyclean-compile:
-rm -f *.$(OBJEXT)
distclean-compile:
-rm -f *.tab.c
@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/dox_functions.Po@am__quote@
@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/dox_operators.Po@am__quote@
.cc.o:
@am__fastdepCXX_TRUE@ if $(CXXCOMPILE) -MT $@ -MD -MP -MF "$(DEPDIR)/$*.Tpo" -c -o $@ $<; \
@am__fastdepCXX_TRUE@ then mv -f "$(DEPDIR)/$*.Tpo" "$(DEPDIR)/$*.Po"; else rm -f "$(DEPDIR)/$*.Tpo"; exit 1; fi
@AMDEP_TRUE@@am__fastdepCXX_FALSE@ source='$<' object='$@' libtool=no @AMDEPBACKSLASH@
@AMDEP_TRUE@@am__fastdepCXX_FALSE@ depfile='$(DEPDIR)/$*.Po' tmpdepfile='$(DEPDIR)/$*.TPo' @AMDEPBACKSLASH@
@AMDEP_TRUE@@am__fastdepCXX_FALSE@ $(CXXDEPMODE) $(depcomp) @AMDEPBACKSLASH@
@am__fastdepCXX_FALSE@ $(CXXCOMPILE) -c -o $@ $<
.cc.obj:
@am__fastdepCXX_TRUE@ if $(CXXCOMPILE) -MT $@ -MD -MP -MF "$(DEPDIR)/$*.Tpo" -c -o $@ `$(CYGPATH_W) '$<'`; \
@am__fastdepCXX_TRUE@ then mv -f "$(DEPDIR)/$*.Tpo" "$(DEPDIR)/$*.Po"; else rm -f "$(DEPDIR)/$*.Tpo"; exit 1; fi
@AMDEP_TRUE@@am__fastdepCXX_FALSE@ source='$<' object='$@' libtool=no @AMDEPBACKSLASH@
@AMDEP_TRUE@@am__fastdepCXX_FALSE@ depfile='$(DEPDIR)/$*.Po' tmpdepfile='$(DEPDIR)/$*.TPo' @AMDEPBACKSLASH@
@AMDEP_TRUE@@am__fastdepCXX_FALSE@ $(CXXDEPMODE) $(depcomp) @AMDEPBACKSLASH@
@am__fastdepCXX_FALSE@ $(CXXCOMPILE) -c -o $@ `$(CYGPATH_W) '$<'`
.cc.lo:
@am__fastdepCXX_TRUE@ if $(LTCXXCOMPILE) -MT $@ -MD -MP -MF "$(DEPDIR)/$*.Tpo" -c -o $@ $<; \
@am__fastdepCXX_TRUE@ then mv -f "$(DEPDIR)/$*.Tpo" "$(DEPDIR)/$*.Plo"; else rm -f "$(DEPDIR)/$*.Tpo"; exit 1; fi
@AMDEP_TRUE@@am__fastdepCXX_FALSE@ source='$<' object='$@' libtool=yes @AMDEPBACKSLASH@
@AMDEP_TRUE@@am__fastdepCXX_FALSE@ depfile='$(DEPDIR)/$*.Plo' tmpdepfile='$(DEPDIR)/$*.TPlo' @AMDEPBACKSLASH@
@AMDEP_TRUE@@am__fastdepCXX_FALSE@ $(CXXDEPMODE) $(depcomp) @AMDEPBACKSLASH@
@am__fastdepCXX_FALSE@ $(LTCXXCOMPILE) -c -o $@ $<
mostlyclean-libtool:
-rm -f *.lo
clean-libtool:
-rm -rf .libs _libs
distclean-libtool:
-rm -f libtool
uninstall-info-am:
ID: $(HEADERS) $(SOURCES) $(LISP) $(TAGS_FILES)
list='$(SOURCES) $(HEADERS) $(LISP) $(TAGS_FILES)'; \
unique=`for i in $$list; do \
if test -f "$$i"; then echo $$i; else echo $(srcdir)/$$i; fi; \
done | \
$(AWK) ' { files[$$0] = 1; } \
END { for (i in files) print i; }'`; \
mkid -fID $$unique
tags: TAGS
TAGS: $(HEADERS) $(SOURCES) $(TAGS_DEPENDENCIES) \
$(TAGS_FILES) $(LISP)
tags=; \
here=`pwd`; \
list='$(SOURCES) $(HEADERS) $(LISP) $(TAGS_FILES)'; \
unique=`for i in $$list; do \
if test -f "$$i"; then echo $$i; else echo $(srcdir)/$$i; fi; \
done | \
$(AWK) ' { files[$$0] = 1; } \
END { for (i in files) print i; }'`; \
test -z "$(ETAGS_ARGS)$$tags$$unique" \
|| $(ETAGS) $(ETAGSFLAGS) $(AM_ETAGSFLAGS) $(ETAGS_ARGS) \
$$tags $$unique
ctags: CTAGS
CTAGS: $(HEADERS) $(SOURCES) $(TAGS_DEPENDENCIES) \
$(TAGS_FILES) $(LISP)
tags=; \
here=`pwd`; \
list='$(SOURCES) $(HEADERS) $(LISP) $(TAGS_FILES)'; \
unique=`for i in $$list; do \
if test -f "$$i"; then echo $$i; else echo $(srcdir)/$$i; fi; \
done | \
$(AWK) ' { files[$$0] = 1; } \
END { for (i in files) print i; }'`; \
test -z "$(CTAGS_ARGS)$$tags$$unique" \
|| $(CTAGS) $(CTAGSFLAGS) $(AM_CTAGSFLAGS) $(CTAGS_ARGS) \
$$tags $$unique
GTAGS:
here=`$(am__cd) $(top_builddir) && pwd` \
&& cd $(top_srcdir) \
&& gtags -i $(GTAGS_ARGS) $$here
distclean-tags:
-rm -f TAGS ID GTAGS GRTAGS GSYMS GPATH tags
distdir: $(DISTFILES)
@srcdirstrip=`echo "$(srcdir)" | sed 's|.|.|g'`; \
topsrcdirstrip=`echo "$(top_srcdir)" | sed 's|.|.|g'`; \
list='$(DISTFILES)'; for file in $$list; do \
case $$file in \
$(srcdir)/*) file=`echo "$$file" | sed "s|^$$srcdirstrip/||"`;; \
$(top_srcdir)/*) file=`echo "$$file" | sed "s|^$$topsrcdirstrip/|$(top_builddir)/|"`;; \
esac; \
if test -f $$file || test -d $$file; then d=.; else d=$(srcdir); fi; \
dir=`echo "$$file" | sed -e 's,/[^/]*$$,,'`; \
if test "$$dir" != "$$file" && test "$$dir" != "."; then \
dir="/$$dir"; \
$(mkdir_p) "$(distdir)$$dir"; \
else \
dir=''; \
fi; \
if test -d $$d/$$file; then \
if test -d $(srcdir)/$$file && test $$d != $(srcdir); then \
cp -pR $(srcdir)/$$file $(distdir)$$dir || exit 1; \
fi; \
cp -pR $$d/$$file $(distdir)$$dir || exit 1; \
else \
test -f $(distdir)/$$file \
|| cp -p $$d/$$file $(distdir)/$$file \
|| exit 1; \
fi; \
done
check-am: all-am
check: check-am
all-am: Makefile $(PROGRAMS) $(DATA) all-local
installdirs:
install: install-am
install-exec: install-exec-am
install-data: install-data-am
uninstall: uninstall-am
install-am: all-am
@$(MAKE) $(AM_MAKEFLAGS) install-exec-am install-data-am
installcheck: installcheck-am
install-strip:
$(MAKE) $(AM_MAKEFLAGS) INSTALL_PROGRAM="$(INSTALL_STRIP_PROGRAM)" \
install_sh_PROGRAM="$(INSTALL_STRIP_PROGRAM)" INSTALL_STRIP_FLAG=-s \
`test -z '$(STRIP)' || \
echo "INSTALL_PROGRAM_ENV=STRIPPROG='$(STRIP)'"` install
mostlyclean-generic:
clean-generic:
distclean-generic:
-rm -f $(CONFIG_CLEAN_FILES)
-test -z "$(DISTCLEANFILES)" || rm -f $(DISTCLEANFILES)
maintainer-clean-generic:
@echo "This command is intended for maintainers to use"
@echo "it deletes files that may require special tools to rebuild."
clean: clean-am
clean-am: clean-generic clean-libtool clean-noinstPROGRAMS \
mostlyclean-am
distclean: distclean-am
-rm -rf ./$(DEPDIR)
-rm -f Makefile
distclean-am: clean-am distclean-compile distclean-generic \
distclean-libtool distclean-local distclean-tags
dvi: dvi-am
dvi-am: dvi-local
html: html-am
info: info-am
info-am:
install-data-am:
@$(NORMAL_INSTALL)
$(MAKE) $(AM_MAKEFLAGS) install-data-hook
install-exec-am:
install-info: install-info-am
install-man:
installcheck-am:
maintainer-clean: maintainer-clean-am
-rm -rf ./$(DEPDIR)
-rm -f Makefile
maintainer-clean-am: distclean-am maintainer-clean-generic
mostlyclean: mostlyclean-am
mostlyclean-am: mostlyclean-compile mostlyclean-generic \
mostlyclean-libtool
pdf: pdf-am
pdf-am: pdf-local
ps: ps-am
ps-am: ps-local
uninstall-am: uninstall-info-am uninstall-local
.PHONY: CTAGS GTAGS all all-am all-local check check-am clean \
clean-generic clean-libtool clean-noinstPROGRAMS ctags \
distclean distclean-compile distclean-generic \
distclean-libtool distclean-local distclean-tags distdir dvi \
dvi-am dvi-local html html-am info info-am install install-am \
install-data install-data-am install-exec install-exec-am \
install-info install-info-am install-man install-strip \
installcheck installcheck-am installdirs maintainer-clean \
maintainer-clean-generic mostlyclean mostlyclean-compile \
mostlyclean-generic mostlyclean-libtool pdf pdf-am pdf-local \
ps ps-am ps-local tags uninstall uninstall-am \
uninstall-info-am uninstall-local
# some depencies
Doxyfile: Doxyfile.in
footer.html: footer.html.in
tvmet.sty: tvmet.sty.in
# file creating rules; not needed every time
@CONFIG_DOC_TRUE@operators.dox: dox_operators
@CONFIG_DOC_TRUE@ ./dox_operators > operators.dox
@CONFIG_DOC_TRUE@functions.dox: dox_functions
@CONFIG_DOC_TRUE@ ./dox_functions > functions.dox
# file creating rules
@CONFIG_DOC_TRUE@changelog.dox: @top_srcdir@/ChangeLog
@CONFIG_DOC_TRUE@ @echo "/** \page changelog ChangeLog" > $@
@CONFIG_DOC_TRUE@ @echo "\verbatim" >> $@
@CONFIG_DOC_TRUE@ cat $< >> $@
@CONFIG_DOC_TRUE@ @echo "\endverbatim" >> $@
@CONFIG_DOC_TRUE@ @echo "*/" >> $@
@CONFIG_DOC_TRUE@news.dox: @top_srcdir@/NEWS
@CONFIG_DOC_TRUE@ @echo "/** \page news News" > $@
@CONFIG_DOC_TRUE@ @echo "\verbatim" >> $@
@CONFIG_DOC_TRUE@ cat $< >> $@
@CONFIG_DOC_TRUE@ @echo "\endverbatim" >> $@
@CONFIG_DOC_TRUE@ @echo "*/" >> $@
@CONFIG_DOC_TRUE@credits.dox: @top_srcdir@/THANKS
@CONFIG_DOC_TRUE@ @echo "/** \page credits Credits" > $@
@CONFIG_DOC_TRUE@ @echo "\verbatim" >> $@
@CONFIG_DOC_TRUE@ cat $< >> $@
@CONFIG_DOC_TRUE@ @echo "\endverbatim" >> $@
@CONFIG_DOC_TRUE@ @echo "*/" >> $@
@CONFIG_DOC_TRUE@install.dox: @top_srcdir@/INSTALL
@CONFIG_DOC_TRUE@ @echo "/** \page basic_install INSTALL" > $@
@CONFIG_DOC_TRUE@ @echo "\verbatim" >> $@
@CONFIG_DOC_TRUE@ cat $< >> $@
@CONFIG_DOC_TRUE@ @echo "\endverbatim" >> $@
@CONFIG_DOC_TRUE@ @echo "*/" >> $@
@CONFIG_DOC_TRUE@all-local: doxygen-api
# need's LaTeX style, since we use an own style for LaTeX
# which is required for generating formulas in HTML too.
# Doxygen LaTeX batchmode doesn't solves the problem right here.
@CONFIG_DOC_TRUE@doxygen-html-dir:
@CONFIG_DOC_TRUE@ @if test ! -d ./html; then mkdir ./html; fi
@CONFIG_DOC_TRUE@doxygen-api: doxygen-html-dir Doxyfile $(DOXY_HTML_SRC)
@CONFIG_DOC_TRUE@ @echo "Making HTML manual"
@CONFIG_DOC_TRUE@ @cp @builddir@/tvmet.sty ./html/
@CONFIG_DOC_TRUE@ @DOXYGEN@ $(DOXYGEN_OPTS)
@CONFIG_DOC_TRUE@ @$(RM) -f ./html/tvmet.sty
@CONFIG_DOC_TRUE@all-local: $(noinst_DATA)
@CONFIG_DOC_TRUE@dvi-local:
@CONFIG_DOC_TRUE@ps-local:
@CONFIG_DOC_TRUE@pdf-local: $(DOC_API_PDF)
@CONFIG_DOC_TRUE@$(DOC_API_PDF): Doxyfile $(DOXY_LTEX_SRC)
@CONFIG_DOC_TRUE@ @if test -d ./latex; then \
@CONFIG_DOC_TRUE@ echo "Making PDF manual"; \
@CONFIG_DOC_TRUE@ if test -f $@; then \
@CONFIG_DOC_TRUE@ $(RM) $@; \
@CONFIG_DOC_TRUE@ fi; \
@CONFIG_DOC_TRUE@ TEXINPUTS=$(TEXINPUTS_PATH) $(MAKE) -C ./latex refman.pdf; \
@CONFIG_DOC_TRUE@ $(LN_S) ./latex/refman.pdf $@; \
@CONFIG_DOC_TRUE@ fi
#
# misc hooks
#
@CONFIG_DOC_TRUE@distclean-local:
@CONFIG_DOC_TRUE@ @rm -f $(DOXY_BUILD)
@CONFIG_DOC_TRUE@ @if test -f $(DOC_API_PDF); then \
@CONFIG_DOC_TRUE@ $(RM) -f $(DOC_API_PDF); \
@CONFIG_DOC_TRUE@ fi
@CONFIG_DOC_TRUE@ @if test -d html; then \
@CONFIG_DOC_TRUE@ $(RM) -rf html; \
@CONFIG_DOC_TRUE@ fi
@CONFIG_DOC_TRUE@ @if test -d latex; then \
@CONFIG_DOC_TRUE@ $(RM) -rf latex; \
@CONFIG_DOC_TRUE@ fi
@CONFIG_DOC_TRUE@ @if test -d rtf; then \
@CONFIG_DOC_TRUE@ $(RM) -rf rtf; \
@CONFIG_DOC_TRUE@ fi
@CONFIG_DOC_TRUE@ @if test -d man; then \
@CONFIG_DOC_TRUE@ $(RM) -rf man; \
@CONFIG_DOC_TRUE@ fi
@CONFIG_DOC_TRUE@doc-dist: doxygen-api
@CONFIG_DOC_TRUE@ echo "please wait while archiving the html docs."; \
@CONFIG_DOC_TRUE@ tar cf - -C ./html . | bzip2 --best -c > $(PACKAGE)-docs-$(VERSION).tar.bz2
# Automake's "distcheck" is sensitive to having files left over
# after "make uninstall", so we have to clean up the install hook.
@CONFIG_DOC_TRUE@uninstall-local:
@CONFIG_DOC_TRUE@ @if test -d $(TVMET_DOC_DIR); then \
@CONFIG_DOC_TRUE@ rm -rf $(TVMET_DOC_DIR); \
@CONFIG_DOC_TRUE@ fi
# Install hooks
@CONFIG_DOC_TRUE@make-install-dirs:
@CONFIG_DOC_TRUE@ @if test '!' -d $(TVMET_DOC_DIR); then \
@CONFIG_DOC_TRUE@ $(mkinstalldirs) $(TVMET_DOC_DIR); \
@CONFIG_DOC_TRUE@ fi
@CONFIG_DOC_TRUE@install-data-hook: make-install-dirs
@CONFIG_DOC_TRUE@ @echo Installing documentations into $(TVMET_DOC_DIR)
@CONFIG_DOC_TRUE@ @echo "install html"
@CONFIG_DOC_TRUE@ @$(INSTALL_DATA) @top_builddir@/doc/html/* $(TVMET_DOC_DIR)
@CONFIG_DOC_FALSE@doc-dist:
@CONFIG_DOC_FALSE@install-data-hook:
# --------------------------------------------------------
# in progress:
# make refman twoside
twoside:
class=`cat latex/refman.tex | grep documentclass`
newclass=`echo $$class | sed -e 's/twoside,//' -e 's/\[/\[twoside,/'`
@echo "class:" $$class
@echo "newclass:" $$newclass
cat latex/refman.tex | sed 's/$$class/$$newclass/' >foo
# Tell versions [3.59,3.63) of GNU make to not export all variables.
# Otherwise a system limit (for SysV at least) may be exceeded.
.NOEXPORT:

202
tvmet-1.7.1/doc/Util.h
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@@ -1,202 +0,0 @@
/*
* Tiny Vector Matrix Library
* Dense Vector Matrix Libary of Tiny size using Expression Templates
*
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: Util.h,v 1.5 2003/12/19 18:01:37 opetzold Exp $
*/
#ifndef TVMET_DOC_UTIL_H
#define TVMET_DOC_UTIL_H
#include <vector>
#include <tvmet/config.h>
struct Function {
Function() { }
virtual ~Function() { }
virtual const char* name() const = 0;
virtual const char* description() const = 0;
virtual bool int_only() const = 0;
static const char* group() { return "_function"; }
static const char* group_unary() { return "_unary_function"; }
static const char* group_binary() { return "_binary_function"; }
template<class Stream> static Stream& doxy_groups(Stream& os) {
os << "/**\n"
<< " * \\defgroup " << group() << " Global Functions\n"
<< " */\n\n";
os << "/**\n"
<< " * \\defgroup " << group_unary() << " Global Unary Functions\n"
<< " * \\ingroup " << group() << "\n"
<< " */\n\n";
os << "/**\n"
<< " * \\defgroup " << group_binary() << " Global Binary Functions\n"
<< " * \\ingroup " << group() << "\n"
<< " */\n\n";
os << "/**\n"
<< " * \\defgroup " << "_trinary_function" << " Global Trinary Functions\n"
<< " * \\ingroup " << group() << "\n"
<< " */\n\n";
return os;
}
};
class BinaryFunction : public Function {
public:
BinaryFunction(const char* s, const char* d, bool i = false)
: m_name(s), m_description(d), m_int_only(i) { }
const char* name() const { return m_name; }
const char* description() const { return m_description; }
const char* group() const { return group_binary(); }
bool int_only() const { return m_int_only; }
private:
const char* m_name;
const char* m_description;
bool m_int_only;
};
class UnaryFunction : public Function {
public:
UnaryFunction(const char* s, const char* d, bool i = false)
: m_name(s), m_description(d), m_int_only(i) { }
virtual ~UnaryFunction() { }
const char* name() const { return m_name; }
const char* description() const { return m_description; }
const char* group() const { return group_unary(); }
bool int_only() const { return m_int_only; }
private:
const char* m_name;
const char* m_description;
bool m_int_only;
};
struct Operator {
Operator() { }
virtual ~Operator() { }
virtual const char* symbol() const = 0;
virtual const char* description() const = 0;
virtual bool int_only() const = 0;
static const char* group() { return "_operator"; }
static const char* group_unary() { return "_unary_operator"; }
static const char* group_binary() { return "_binary_operator"; }
template<class Stream> static Stream& doxy_groups(Stream& os) {
os << "/**\n"
<< " * \\defgroup " << group() << " Global Operators\n"
<< " */\n\n";
os << "/**\n"
<< " * \\defgroup " << group_binary() << " Global Binary Operators\n"
<< " * \\ingroup " << group() << "\n"
<< " */\n\n";
os << "/**\n"
<< " * \\defgroup " << group_unary() << " Global Unary Operators\n"
<< " * \\ingroup " << group() << "\n"
<< " */\n\n";
return os;
}
};
class BinaryOperator : public Operator {
public:
BinaryOperator(const char* s, const char* d, bool i = false)
: m_symbol(s), m_description(d), m_int_only(i) { }
virtual ~BinaryOperator() { }
const char* symbol() const { return m_symbol; }
const char* description() const { return m_description; }
const char* group() const { return group_binary(); }
bool int_only() const { return m_int_only; }
private:
const char* m_symbol;
const char* m_description;
bool m_int_only;
};
class UnaryOperator : public Operator {
public:
UnaryOperator(const char* s, const char* d, bool i = false)
: m_symbol(s), m_description(d), m_int_only(i) { }
virtual ~UnaryOperator() { }
const char* symbol() const { return m_symbol; }
const char* description() const { return m_description; }
const char* group() const { return group_unary(); }
bool int_only() const { return m_int_only; }
private:
const char* m_symbol;
const char* m_description;
bool m_int_only;
};
class DataType {
public:
DataType(const char* s, const char* d, bool i = false)
: m_name(s), m_description(d), m_is_int(i){ }
const char* name() const { return m_name; }
const char* description() const { return m_description; }
bool is_int() const { return m_is_int; }
private:
const char* m_name;
const char* m_description;
bool m_is_int;
};
class Type
{
public:
Type() {
datatypes.push_back( DataType("int", "int", true) );
datatypes.push_back( DataType("float", "float") );
datatypes.push_back( DataType("double", "double") );
#ifdef TVMET_HAVE_LONG_DOUBLE
datatypes.push_back( DataType("long double", "long double") );
#endif // HAVE_LONG_DOUBLE
#ifdef EIGEN_USE_COMPLEX
datatypes.push_back( DataType("const std::complex<T>&", "std::complex<T>") );
#endif // HAVE_COMPLEX
}
virtual ~Type() { }
public:
template<class Stream>
Stream& header(Stream& os) const {
os << "namespace tvmet {\n\n";
return os;
}
template<class Stream>
Stream& footer(Stream& os) const {
os << "\n} // namespace tvmet\n\n";
return os;
}
public:
typedef std::vector< DataType >::const_iterator const_iterator;
public:
const_iterator begin() const { return datatypes.begin(); }
const_iterator end() const { return datatypes.end(); }
private:
std::vector< DataType > datatypes;
};
#endif // TVMET_DOC_UTIL_H
// Local Variables:
// mode:C++
// End:

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52
tvmet-1.7.1/doc/benchmark.dox
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/*
* $Id: benchmark.dox,v 1.8 2004/04/10 04:58:35 opetzold Exp $
*/
/**
\page benchmark Benchmark
Prior to version 0.8.0, tvmet had benchmark results listed here. Benchmarking
isn't as easy as had been thought. The compiler's optimizer is very tricky -
even more than I am. 8( To outwit the optimizer takes time - I would rather
put the time into tvmet, itself.
Laurent Plagne has created some benchmarks using tvmet and other libraries,
please have a look at
<a href="http://www.opencascade.org/upload/87">opencascade</a>.
The following benchmarks are done on my
Intel(R) Pentium(R) 4 CPU 2.40GHz
Linux box:
- \ref bench_axpy
- \ref bench_matrix_matrix
- \ref bench_matrix_vector
- \ref bench_aat
- \ref bench_ata
using a patched version of BTL 20030124. The patch is necessary to be able
to compile tvmet due to the high inline level used here. The patch is
distributed with the package.
\section bench_axpy axpy
\image html axpy.png "axpy"
\section bench_matrix_matrix Matrix-Matrix
\image html matrix_matrix.png "Matrix-Matrix"
\section bench_matrix_vector Matrix-Vector
\image html matrix_vector.png "Matrix-Vector"
\section bench_aat MMt
\image html aat.png "M M^t"
\section bench_ata MtM
\image html ata.png "M^t M"
*/
// Local Variables:
// mode:c++
// End:
// LocalWords: BTL GHz Plagne

199
tvmet-1.7.1/doc/build.dox
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@@ -1,199 +0,0 @@
/*
* $Id: build.dox,v 1.14 2005/04/07 15:59:19 opetzold Exp $
*/
/**
\page build Download, Configuration, Build and Installation of the library
<p>Contents:</p>
- \ref download
- \ref configure_unix
- \ref install_unix
- \ref install_win
\section download Download tvmet
<p>
You can download %tvmet <a href=http://sourceforge.net/project/showfiles.php?group_id=39733>here</a>.
For the regression tests you will need <a href=http://sourceforge.net/projects/cppunit>CppUnit</a>.
While these tests are not mandatory, they are recommended.
</p>
<p>
For the API documentation you will also need <a href=http://www.doxygen.org>doxygen</a>,
maybe you want a graphical class hierarchy, class graph etc you need
the 'dot' tool of <a href="http://www.graphviz.org/">GraphViz</a>
to draw the miscellaneous graphs.
</p>
\section configure_unix Configure tvmet on unix
See the \ref basic_install file for general informations.
<b>NEW</b> Starting with tvmet version 1.5.0 the configuration options
has been changed!
<dl>
<dt><tt>--enable-optimize</tt></dt>
<dd>This affects the compiler optimization options. Machine specific
compiler flags are switched on as well. The <code>TVMET_OPTIMIZE</code>
symbol is defined, which uses the gcc's
<code>__attribute__((always_inline))</code>.
</dd>
</dl>
<dl>
<dt><tt>--enable-debug</tt></dt>
<dd>Enables debugging mode for %tvmet. This affects the compiler
options and preprocessor definitions. The <code>TVMET_DEBUG</code>
symbol is defined. If you compile %tvmet from another source directory
which defines <code>DEBUG</code>, then <code>TVMET_DEBUG</code> will be
<b>not</b> defined (This behavior differs from release less than 0.6.0).
Please have a look at the \ref debug section of the \ref faq.
</dd>
</dl>
<dl>
<dt><tt>--enable-warnings</tt></dt>
<dd>This affects the compiler warning options. The warning level is on
a high level for default!</dd>
</dl>
<dl>
<dt><tt>--enable-docs</tt></dt>
<dd>Enables generation of API documentation using <a href=http://www.doxygen.org>doxygen</a>.
If the configure scripts founds the <a href="http://www.graphviz.org/">GraphViz</a>
'dot' tool it will be used. Further more an PDF file of the API
will be generated using doxygen too.
</dd>
</dl>
<dl>
<dt><tt>--enable-verbose-latex</tt></dt>
<dd>Uses LaTeX non-stop mode for generating the PDF file of tvmet's
API documentation.
</dd>
</dl>
<dl>
<dt><tt>--disable-cppunit</tt></dt>
<dd>Disables the regression/unit test. For these tests you need an installed
<a href="http://www.sourceforge.net/projects/cppunit">CppUnit</a>.
</dd>
</dl>
<dl>
<dt><tt>--with-cxx=compiler</tt></dt>
<dd>Set the C++ compiler to compiler and options. The known compiler are
the GNU g++ (default), Intel icc, Kai C++ KCC, Portland Group C++ pgCC.
Please have a look at the \ref compiler page.
</dd>
</dl>
\section install_unix Build and Installation of tvmet on unix
The build target for make are:
<dl>
<dt><tt>all</tt></dt>
<dd>Makes tvmet ready for installation.</dd>
</dl>
<dl>
<dt><tt>docs</tt></dt>
<dd>Makes the documentation using doxygen. Depends on the options given
to the configure script, the documentation are HTML and PDF/LaTeX.</dd>
</dl>
<dl>
<dt><tt>check</tt></dt>
<dd>Build and run the regression tests (needs CppUnit).</dd>
</dl>
<dl>
<dt><tt>install</tt></dt>
<dd>Installs tvmet.</dd>
</dl>
<dl>
<dt><tt>uninstall</tt></dt>
<dd>Do you really want this? :-)</dd>
</dl>
Further more inside the <tt>examples</tt> directory there is the target:
<dl>
<dt><tt>examples</tt></dt>
<dd>Build tvmet's examples.
At this date the example directory contains simple examples
for matrix, vector and matrix-vector operations. Further more
some sources which shows the use for expression tree printing
(expands the expression tree used).
</dd>
</dl>
Files will be installed in the following directories:
<ul>
<li><tt>Executables&nbsp;&nbsp;&nbsp;&nbsp;-&gt; ${prefix}/bin</tt></li>
<li><tt>Docs&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;-&gt; ${prefix}/share/doc/tvmet-${version}</tt></li>
<li><tt>Man pages&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;-&gt; ${prefix}/man</tt></li>
<li><tt>Header file&nbsp;&nbsp;&nbsp;&nbsp;-&gt; ${prefix}/include/tvmet</tt></li>
</ul>
Default value for prefix is <tt>/usr/local</tt> but you may change it
with <tt>--prefix</tt> option to the <tt>configure</tt> script (see above).
\section install_win Build and Installation of tvmet on MS Windows
First, the windows version used doesn't matter - the compiler is your
tool. The compiler has to understand the high level C++ style of
tvmet.
Second, tvmet comes with pre-configured files for the windows compiler.
Therefore you don't need to follow the configure and build procedure. An
exception is the <a href="http://www.cygwin.com">cygwin</a> and
<a href="http://www.mingw.org/">MinGW</a> environment
since they emulate the unix environment on windows - they follow the
unix style process therefore.
Well, simply copy the tvmet source tree complete or only the include
directory to a location of your choice and include the path to your
compiler environment. Thats all.
To build the regression tests it's on your own to build support for
<a href="http://cppunit.sourceforge.net">cppunit</a> and create the
appropriate sub-project. tvmet does not deliver Microsoft Visual Studio
project files.
If of interest the config file for Visual Studio can be found on
<tt>tvmet/config/config-vc71.h</tt>. There are all compiler quirks and
defines needed.
\sa \ref vc71
*/
// Local Variables:
// mode:c++
// End:
// LocalWords: CppUnit GraphViz doxygen

375
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@@ -1,375 +0,0 @@
/*
* $Id: compiler.dox,v 1.24 2005/03/09 12:05:19 opetzold Exp $
*/
/**
\page compiler Compiler Support
<p>Contents:</p>
- \ref requirements
- \ref gcc
- \ref kcc
- \ref pgCC
- \ref intel
- \ref vc71
\section requirements General compiler Requirements
This library is designed for portability - no compiler specific extensions
are used. Nevertheless, there are a few requirements: (These are all a part
of the C++ standard.)
- Support for the <tt>mutable</tt> keyword is required. This is used by the
CommaInitializer only.
- The <tt>typename</tt> keyword is used exhaustively here.
- The namespace concept is required. The tvmet library is itself is a
namespace. To avoid collisions of operators, there is also an element_wise
namespace within tvmet.
- Partial specialization is needed for the extrema functions min and max
to distinguish between vectors and matrices. This allows tvmet to return
an object with a specific behavior. (The location of an extremum in a
matrix has a (row, column) position whereas a vector extremum has only a
single index for its position).
\section gcc The GNU Compiler Collection
The <a href=http://gcc.gnu.org>GNU compiler</a> collection is mainly used for
developing this library. Moreover, it does compile the library the fastest.
\subsection gcc2953 GNU C++ Compiler v2.95.3
Gcc v2.95.3 is the last official release of the version 2 series from gnu.org.
Since this compiler features the \ref requirements it does work, but only
partial.
There are certain difficulties - see \ref ambiguous_overload (also, please
read about \ref gcc296). Furthermore, there are problems with functions and
operators declared in the namespace <code>element_wise</code> - the
compiler doesn't seem to find them--even though the compiler does know
about namespace tvmet. It appears to be a problem with nested namespaces and
the compiler's ability to perform function/operator lookup, especially during
regression tests: <code> matrix /= matrix </code> compiles inside a single
file but not at the regression tests--which is a contradiction in terms.
Porting to gcc v2.95.3 requires a lot of knowledge and effort--unfortunately,
I don't have enough of either. The examples do compile and the regression
tests build partially.
Matrix and vector operators are working, but don't expect too much.
\subsection gcc296 GNU C++ Compiler v2.96 (Rh7.x, MD8.x)
This compiler isn't an official release of the GNU Compiler group but shipped
by <a href=http://www.redhat.com>Red Hat</a> and Co.
Blitz++ is using a hasFastAccess() flag to perform a check for the use of
_bz_meta_vecAssign::fastAssign (without bounds checking) or
_bz_meta_vecAssign::assign (with bounds checking). This
isn't really necessary for operations on blitz::TinyVector, since it's
always true. Nevertheless, it is important for the produced asm code using
the gcc-c++-2.96-0.48mdk. Generally the code for Blitz++ using the gcc-2.96
is better than tvmet because of this (tested!).
I got into trouble with stl_relops.h where miscellaneous operators are defined. A
simple define of __SGI_STL_INTERNAL_RELOPS in the config header doesn't solve
the problem, only the commented out header version, see \ref
ambiguous_overload. Because of this problem, the regression tests don't
compile with this version. Projects with do not use the relational
operators are not affected.
It seems that the inlining performed by this compiler collection isn't very
smart. I got a lot of warnings: can't inline call to ... So, it would be
best to use the \ref gcc30x and later compilers.
\subsection gcc30x GNU C++ Compiler v3.0.x
These compiler produce better code than the \ref gcc296! Even the problems
with blitz++ fastAssign have vanished. And this compiler conforms to the
standard. The regression tests does compile and run successfully.
Due to the nature of ET and MT there is a need for a high level of inlining.
The v3.0.x seems to do this well as compared to the v2.9x compilers which
produce inline warnings.
This compiler works great with the
<a href=http://www.stlport.org">STLPort-4.5.3</a>
implementation of the STL/C++ Library, Tiny Vector and Matrix template library
and <a href=http://cppunit.sourceforge.net>cpp-unit</a>.
\subsection gcc31x GNU C++ Compiler v3.1
%tvmet does compile with this new GNU C++ compiler. The produced code looks
as good as the code created by \ref gcc30x. (Does anyone have time to make
a benchmark?)
The primary goal is conformance to the standard ISO/IEC 14882:1998.
\subsection gcc32x GNU C++ Compiler v3.2.x
The once again changed Application Binary Interface (ABI) doesn't affect
tvmet since it isn't a binary library--it's only compiled templates inside
the client code.
There are some problems with the GNU C++ compiler collection on the
regression test due to some bugs (IMO), \sa \ref regressiontest_failed.
\subsection gcc33x GNU C++ Compiler v3.3
Tested and works fine. Only some warnings on failed inlining which doesn't
concern tvmet directly.
Anyway, here the code from <tt>examples/ray.cc</tt> on gcc 3.3.3 using
<tt>-O2 -DTVMET_OPTIMIZE</tt>
\par Assembler (IA-32 Intel® Architecture):
\code
movl 16(%ebp), %edx
movl 12(%ebp), %ebx
movl 8(%ebp), %esi
fldl 8(%edx)
fldl 16(%edx)
fmull 16(%ebx)
fxch %st(1)
movl %ebx, -24(%ebp)
fmull 8(%ebx)
movl %edx, -32(%ebp)
fldl (%edx)
fmull (%ebx)
fxch %st(1)
movl %edx, -60(%ebp)
movl %edx, -12(%ebp)
faddp %st, %st(2)
faddp %st, %st(1)
fadd %st(0), %st
fstpl -56(%ebp)
movl -56(%ebp), %ecx
movl -52(%ebp), %eax
movl %ecx, -20(%ebp)
movl %eax, -16(%ebp)
movl %ecx, -40(%ebp)
movl %eax, -36(%ebp)
movl %ecx, -68(%ebp)
movl %eax, -64(%ebp)
fldl (%edx)
fmull -20(%ebp)
fsubrl (%ebx)
fstpl (%esi)
fldl 8(%edx)
fmull -20(%ebp)
fsubrl 8(%ebx)
fstpl 8(%esi)
fldl 16(%edx)
fmull -20(%ebp)
fsubrl 16(%ebx)
fstpl 16(%esi)
addl $64, %esp
popl %ebx
popl %esi
popl %ebp
ret
\endcode
\subsection gcc34x GNU C++ Compiler v3.4.x
The compiler 3.4.3 works fine, starting with tvmet release 1.7.1. The problem is
the correct syntax for the CommaInitializer template declaration and
implementation.
There is no assembler output for our <tt>examples/ray.cc</tt>, since I don't
have this compiler yet (yes, I need to update my linux system ;-)
\section kcc Kai C++
This has not been tested. Unfortunately Kai's compiler is no longer shipped
-- one should use the Intel compiler instead
(see <a href=http://www.kai.com>here</a>).
If you have used it successfully including regression and/or benchmark tests,
please give me an answer.
\section pgCC Portland Group Compiler Technology
\subsection pgCC32 Portland Group C++ 3.2
The <a href=http://www.pgroup.com>Portland Group</a> C++ compiler is shipped
with the RogueWave Standard C++ Library which provides conformance to the
standard. Unfortunately, the &lt;cname&gt; C library wrapper headers and the C++
overloads of the math functions are not provided on all platforms, see
<http://www.cug.com/roundup>. The download evaluation version 3.2-4 for
Linux is affected for example. At first glance, it does compile with pgCC
since it has has the great <a href=http://www.edg.com>EDG</a> front-end.
Maybe there is a solution with other standard library implementations like
<a href=http://www.stlport.org>STLPort</a> (On a quick try the STL Port
doesn't recognize the pgCC). If you know more about this, please let me know.
Anyway, the code produced is very poor even if I use high inlining levels
like the command line option -Minline=levels:100 which increases the compile
time dramatically! The benchmark tests have not been done. Unfortunately,
my trial period has expired. I haven't any idea if this compiler will pass
the regression tests.
\subsection pgCC51 Portland Group C++ 5.1
The <a href=http://www.pgroup.com>Portland Group</a> C++ compiler is shipped
with the <a href=http://www.stlport.org>STLport</a> Standard C++ Library, cool!
The code produced isn't very compact compared with the intel or gnu compiler.
Anyway it works, but the compiler time increases dramatically
even on higher inline levels.
\section intel Intel Compiler
\subsection icc5 Intel Compiler v5.0.1
This compiler complains even more than gcc-3.0.x regarding template
specifiers (e.g. correct spaces for template arguments to std::complex are
needed even when not instanced).
The produced code looks good but, I haven't done a benchmark to compare it
with the gcc-3.0.x since the compile time increases for the benchmark test
dramatically.
I have not run any regression tests due to the compile time needed by my
AMD K6/400 Linux box ...
\subsection icc6 Intel Compiler v6.0.x
Should work, but I haven't tested it.
\subsection icc7 Intel Compiler v7.x
This compiler is well supported by tvmet and passes the regression tests
without any failure - as opposed to the GNU C++ compiler collection.
\subsection icc8 Intel Compiler v8.x
No regression tests are done - reports are welcome. I'm not expecting
problems. Anyway, this versions uses pure macros for IEEE math isnan and
isinf. This prevents overwriting with tvmet's functions. Therefore
this functions are disabled after tvmet release 1.4.1. The code produced
is even on <tt>examples/ray.cc</tt> more compact than the \ref gcc33x.
Anyway, here the code from <tt>examples/ray.cc</tt> using
<tt>-O2 -DTVMET_OPTIMIZE</tt>
\par Assembler (IA-32 Intel® Architecture):
\code
movl 4(%esp), %ecx
movl 8(%esp), %edx
movl 12(%esp), %eax
fldl (%edx)
fmull (%eax)
fldl 8(%edx)
fmull 8(%eax)
fldl 16(%edx)
fmull 16(%eax)
faddp %st, %st(1)
faddp %st, %st(1)
fldl (%eax)
fxch %st(1)
fadd %st(0), %st
fmul %st, %st(1)
fxch %st(1)
fsubrl (%edx)
fstpl (%ecx)
fldl 8(%eax)
fmul %st(1), %st
fsubrl 8(%edx)
fstpl 8(%ecx)
fldl 16(%eax)
fmulp %st, %st(1)
fsubrl 16(%edx)
fstpl 16(%ecx)
ret
\endcode
\section vc71 Microsoft Visual C++ v7.1
\htmlonly
<script language="JavaScript">
var m_name="blbounnejapny";
var m_domain="hotmail.com";
var m_text='<a href="mailto:'+m_name+'@'+m_domain+'?subject=tvmet and Microsoft VC++">';
m_text+='Robi Carnecky</a>';
document.write(m_text);
</script>
\endhtmlonly
\latexonly
Robi Carnecky <blbounnejapny@hotmail.com>
\endlatexonly
has reported the success on tvmet using Visual C++ v7.1. At this
release of tvmet there are some warnings left - the work is on
progress.
The <a href="http://msdn.microsoft.com/visualc/vctoolkit2003/">Microsoft Visual C++ Toolkit 2003</a>
and Visual C++ prior 7.1 do not compile - you will get an undefined
internal error unfortunally.
Anyway, here the code from <tt>examples/ray.cc</tt>:
\par Assembler (IA-32 Intel® Architecture, no SSE2):
\code
push ebp
mov ebp, esp
and esp, -8 ; fffffff8H
sub esp, 28 ; 0000001cH
mov eax, DWORD PTR _ray$[ebp]
mov ecx, DWORD PTR _surfaceNormal$[ebp]
fld QWORD PTR [eax+16]
fmul QWORD PTR [ecx+16]
push ebx
fld QWORD PTR [eax+8]
push esi
fmul QWORD PTR [ecx+8]
push edi
mov edi, DWORD PTR $T35206[esp+52]
faddp ST(1), ST(0)
mov DWORD PTR $T35027[esp+60], edi
fld QWORD PTR [eax]
pop edi
fmul QWORD PTR [ecx]
faddp ST(1), ST(0)
fadd ST(0), ST(0)
fstp QWORD PTR $T35206[esp+36]
mov esi, DWORD PTR $T35206[esp+40]
mov edx, DWORD PTR $T35206[esp+36]
mov ebx, DWORD PTR $T35265[esp+40]
mov DWORD PTR $T35027[esp+44], edx
mov edx, DWORD PTR _reflection$[ebp]
mov DWORD PTR $T35027[esp+48], esi
fld QWORD PTR $T35027[esp+44]
fmul QWORD PTR [ecx]
pop esi
mov DWORD PTR $T35027[esp+36], ebx
pop ebx
fsubr QWORD PTR [eax]
fstp QWORD PTR [edx]
fld QWORD PTR $T35027[esp+36]
fmul QWORD PTR [ecx+8]
fsubr QWORD PTR [eax+8]
fstp QWORD PTR [edx+8]
fld QWORD PTR $T35027[esp+36]
fmul QWORD PTR [ecx+16]
fsubr QWORD PTR [eax+16]
fstp QWORD PTR [edx+16]
mov esp, ebp
pop ebp
\endcode
\sa \ref regressiontest_failed
\sa \ref install_win
*/
// Local Variables:
// mode:c++
// End:

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@@ -1,448 +0,0 @@
/*
* Tiny Vector Matrix Library
* Dense Vector Matrix Libary of Tiny size using Expression Templates
*
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: dox_functions.cc,v 1.8 2003/12/19 18:01:37 opetzold Exp $
*/
#include <iostream>
#include <tvmet/config.h>
#include "Util.h"
class FunctionBase
{
public:
FunctionBase() {
m_binary_functions.push_back( BinaryFunction("atan2", "arcus tangent of two variables") );
m_binary_functions.push_back( BinaryFunction("drem", "floating-point remainder") );
m_binary_functions.push_back( BinaryFunction("fmod", "floating-point remainder") );
m_binary_functions.push_back( BinaryFunction("hypot", "Euclidean distance") );
m_binary_functions.push_back( BinaryFunction("jn", "Bessel") );
m_binary_functions.push_back( BinaryFunction("yn", "Bessel") );
m_binary_functions.push_back( BinaryFunction("pow", "power") );
m_unary_functions.push_back( UnaryFunction("abs", "absolute value") );
m_unary_functions.push_back( UnaryFunction("cbrt", "cube root") );
m_unary_functions.push_back( UnaryFunction("floor", "round") );
m_unary_functions.push_back( UnaryFunction("rint", "round") );
m_unary_functions.push_back( UnaryFunction("sin", "sin") );
m_unary_functions.push_back( UnaryFunction("sinh", "sinh") );
m_unary_functions.push_back( UnaryFunction("cos", "cos") );
m_unary_functions.push_back( UnaryFunction("cosh", "cosh") );
m_unary_functions.push_back( UnaryFunction("asin", "asin") );
m_unary_functions.push_back( UnaryFunction("acos", "acos") );
m_unary_functions.push_back( UnaryFunction("atan", "atan") );
m_unary_functions.push_back( UnaryFunction("exp", "exponential") );
m_unary_functions.push_back( UnaryFunction("log", "logarithmic") );
m_unary_functions.push_back( UnaryFunction("log10", "logarithmic") );
m_unary_functions.push_back( UnaryFunction("sqrt", "sqrt") );
#ifdef TVMET_HAVE_IEEE_MATH
m_unary_functions.push_back( UnaryFunction("asinh", "IEEE Math asinh") );
m_unary_functions.push_back( UnaryFunction("acosh", "IEEE Math acosh") );
m_unary_functions.push_back( UnaryFunction("atanh", "IEEE Math atanh") );
m_unary_functions.push_back( UnaryFunction("expm1", "IEEE Math expm1") );
m_unary_functions.push_back( UnaryFunction("log1p", "IEEE Math log1p") );
m_unary_functions.push_back( UnaryFunction("erf", "IEEE Math erf") );
m_unary_functions.push_back( UnaryFunction("erfc", "IEEE Math erfc") );
m_unary_functions.push_back( UnaryFunction("isnan", "IEEE Math isnan. "
"Return nonzero value if X is a NaN.") );
m_unary_functions.push_back( UnaryFunction("isinf", "IEEE Math isinf. "
"Return nonzero value if X is positive or negative infinity.") );
m_unary_functions.push_back( UnaryFunction("isfinite", "fIEEE Math isfinite. "
"Return nonzero value if X is not +-Inf or NaN.") );
m_unary_functions.push_back( UnaryFunction("j0", "IEEE Math Bessel") );
m_unary_functions.push_back( UnaryFunction("j1", "IEEE Math Bessel") );
m_unary_functions.push_back( UnaryFunction("y0", "IEEE Math Bessel") );
m_unary_functions.push_back( UnaryFunction("y1", "IEEE Math Bessel") );
m_unary_functions.push_back( UnaryFunction("lgamma", "IEEE Math lgamma") );
#endif
}
virtual ~FunctionBase() { }
public:
template<class Stream>
Stream& header(Stream& os) const {
m_type.header(os);
return os;
}
template<class Stream>
Stream& footer(Stream& os) const {
m_type.footer(os);
return os;
}
template<class Stream>
Stream& binary(Stream& os) const {
return os;
}
template<class Stream>
Stream& unary(Stream& os) const {
return os;
}
public:
typedef std::vector< BinaryFunction >::const_iterator bfun_iterator;
typedef std::vector< UnaryFunction >::const_iterator ufun_iterator;
public:
virtual const std::vector< BinaryFunction >& bfun() const { return m_binary_functions; }
virtual const std::vector< UnaryFunction >& ufun() const { return m_unary_functions; }
protected:
std::vector< BinaryFunction > m_binary_functions;
std::vector< UnaryFunction > m_unary_functions;
Type m_type;
};
class XprFunctions : public FunctionBase
{
public:
XprFunctions() { }
public:
template<class Stream>
Stream& operator()(Stream& os) const {
header(os);
binary(os);
binary2(os);
unary(os);
footer(os);
return os;
}
public:
template<class Stream>
Stream& header(Stream& os) const {
FunctionBase::header(os);
os << "//\n"
<< "// XprFunctions.h\n"
<< "//\n\n";
return os;
}
// binary functions
template<class Stream>
Stream& binary(Stream& os) const {
FunctionBase::binary(os);
for(bfun_iterator fun = bfun().begin(); fun != bfun().end(); ++fun) {
os << "/**\n"
<< " * \\fn " << fun->name() << "(const XprVector<E1, Sz>& lhs, const XprVector<E2, Sz>& rhs)\n"
<< " * \\brief " << fun->description() << " function for two XprVector.\n"
<< " * \\ingroup " << fun->group() << "\n"
<< " */\n\n";
os << "/**\n"
<< " * \\fn " << fun->name() << "(const XprMatrix<E1, Rows, Cols>& lhs, const XprMatrix<E2, Rows, Cols>& rhs)\n"
<< " * \\brief " << fun->description() << " function for two XprMatrix.\n"
<< " * \\ingroup " << fun->group() << "\n"
<< " */\n\n";
}
return os;
}
// binary functions with pod and std::complex<>
template<class Stream>
Stream& binary2(Stream& os) const {
for(Type::const_iterator tp = m_type.begin(); tp != m_type.end(); ++tp) {
for(bfun_iterator fun = bfun().begin(); fun != bfun().end(); ++fun) {
os << "/**\n"
<< " * \\fn " << fun->name() << "(const XprVector<E, Sz>& lhs, " << tp->name() << " rhs)\n"
<< " * \\brief " << fun->description() << " function between XprVector and " << tp->description() << ".\n"
<< " * \\ingroup " << fun->group() << "\n"
<< " */\n\n";
// os << "/**\n"
// << " * \\fn " << fun->name() << "(" << tp->name() << " lhs, const XprVector<E, Sz>& rhs)\n"
// << " * \\brief " << fun->description() << " function between " << tp->description() << " and XprVector.\n"
// << " * \\ingroup " << fun->group() << "\n"
// << " */\n\n";
os << "/**\n"
<< " * \\fn " << fun->name() << "(const XprMatrix<E, Rows, Cols>& lhs, " << tp->name() << " rhs)\n"
<< " * \\brief " << fun->description() << " function between XprMatrix and " << tp->description() << ".\n"
<< " * \\ingroup " << fun->group() << "\n"
<< " */\n\n";
// os << "/**\n"
// << " * \\fn " << fun->name() << "(" << tp->name() << " lhs, const XprMatrix<E, Rows, Cols>& rhs)\n"
// << " * \\brief " << fun->description() << " function between " << tp->description() << " and XprMatrix.\n"
// << " * \\ingroup " << fun->group() << "\n"
// << " */\n\n";
}
}
return os;
}
// unary functions
template<class Stream>
Stream& unary(Stream& os) const {
FunctionBase::unary(os);
for(ufun_iterator fun = ufun().begin(); fun != ufun().end(); ++fun) {
os << "/**\n"
<< " * \\fn " << fun->name() << "(const XprVector<E, Sz>& rhs)\n"
<< " * \\brief " << fun->description() << " function for XprVector\n"
<< " * \\ingroup " << fun->group() << "\n"
<< " */\n\n";
os << "/**\n"
<< " * \\fn " << fun->name() << "(const XprMatrix<E, Rows, Cols>& rhs)\n"
<< " * \\brief " << fun->description() << " function for XprMatrix.\n"
<< " * \\ingroup " << fun->group() << "\n"
<< " */\n\n";
}
return os;
}
};
class VectorFunctions : public FunctionBase
{
public:
VectorFunctions() { }
public:
template<class Stream>
Stream& operator()(Stream& os) const {
header(os);
binary(os);
binary2(os);
binary3(os);
unary(os);
footer(os);
return os;
}
public:
template<class Stream>
Stream& header(Stream& os) const {
FunctionBase::header(os);
os << "//\n"
<< "// VectorFunctions.h\n"
<< "//\n\n";
return os;
}
// binary functions
template<class Stream>
Stream& binary(Stream& os) const {
FunctionBase::binary(os);
for(bfun_iterator fun = bfun().begin(); fun != bfun().end(); ++fun) {
os << "/**\n"
<< " * \\fn " << fun->name() << "(const Vector<T1, Sz>& lhs, const Vector<T2, Sz>& rhs)\n"
<< " * \\brief " << fun->description() << " function for two Vector.\n"
<< " * \\ingroup " << fun->group() << "\n"
<< " */\n\n";
}
return os;
}
// binary functions with pod and std::complex<>
template<class Stream>
Stream& binary2(Stream& os) const {
for(Type::const_iterator tp = m_type.begin(); tp != m_type.end(); ++tp) {
for(bfun_iterator fun = bfun().begin(); fun != bfun().end(); ++fun) {
os << "/**\n"
<< " * \\fn " << fun->name() << "(const Vector<T, Sz>& lhs, " << tp->name() << " rhs)\n"
<< " * \\brief " << fun->description() << " function on Vector and " << tp->description() << ".\n"
<< " * \\ingroup " << fun->group() << "\n"
<< " */\n\n";
// os << "/**\n"
// << " * \\fn " << fun->name() << "(" << tp->name() << " lhs, const Vector<T, Sz>& rhs)\n"
// << " * \\brief " << fun->description() << " function on " << tp->description() << " and Vector.\n"
// << " * \\ingroup " << fun->group() << "\n"
// << " */\n\n";
}
}
return os;
}
// binary functions with expressions
template<class Stream>
Stream& binary3(Stream& os) const {
for(bfun_iterator fun = bfun().begin(); fun != bfun().end(); ++fun) {
os << "/**\n"
<< " * \\fn " << fun->name() << "(const XprVector<E, Sz>& lhs, const Vector<T, Sz>& rhs)\n"
<< " * \\brief " << fun->description() << " function on XprVector and Vector.\n"
<< " * \\ingroup " << fun->group() << "\n"
<< " */\n\n";
os << "/**\n"
<< " * \\fn " << fun->name() << "(const Vector<T, Sz>& lhs, const XprVector<E, Sz>& rhs)\n"
<< " * \\brief " << fun->description() << " function on Vector and XprVector.\n"
<< " * \\ingroup " << fun->group() << "\n"
<< " */\n\n";
}
return os;
}
// unary functions
template<class Stream>
Stream& unary(Stream& os) const {
FunctionBase::unary(os);
for(ufun_iterator fun = ufun().begin(); fun != ufun().end(); ++fun) {
os << "/**\n"
<< " * \\fn " << fun->name() << "(const Vector<T, Sz>& rhs)\n"
<< " * \\brief " << fun->description() << " function on Vector.\n"
<< " * \\ingroup " << fun->group() << "\n"
<< " */\n\n";
}
return os;
}
};
class MatrixFunctions : public FunctionBase
{
public:
MatrixFunctions() { }
public:
template<class Stream>
Stream& operator()(Stream& os) const {
header(os);
binary(os);
binary2(os);
binary3(os);
unary(os);
footer(os);
return os;
}
public:
template<class Stream>
Stream& header(Stream& os) const {
FunctionBase::header(os);
os << "//\n"
<< "// MatrixFunctions.h\n"
<< "//\n\n";
return os;
}
// binary functions
template<class Stream>
Stream& binary(Stream& os) const {
FunctionBase::binary(os);
for(bfun_iterator fun = bfun().begin(); fun != bfun().end(); ++fun) {
os << "/**\n"
<< " * \\fn " << fun->name() << "(const Matrix<T1, Rows, Cols>& lhs, const Matrix<T2, Cols, Cols>& rhs)\n"
<< " * \\brief " << fun->description() << " function for two Matrizes.\n"
<< " * \\ingroup " << fun->group() << "\n"
<< " */\n\n";
}
return os;
}
// binary functions with pod and std::complex<>
template<class Stream>
Stream& binary2(Stream& os) const {
for(Type::const_iterator tp = m_type.begin(); tp != m_type.end(); ++tp) {
for(bfun_iterator fun = bfun().begin(); fun != bfun().end(); ++fun) {
os << "/**\n"
<< " * \\fn " << fun->name() << "(const Matrix<T, Rows, Cols>& lhs, " << tp->name() << " rhs)\n"
<< " * \\brief " << fun->description() << " function on Matrix and " << tp->description() << ".\n"
<< " * \\ingroup " << fun->group() << "\n"
<< " */\n\n";
// os << "/**\n"
// << " * \\fn " << fun->name() << "(" << tp->name() << " lhs, const Matrix<T, Rows, Cols>& rhs)\n"
// << " * \\brief " << fun->description() << " function on " << tp->description() << " and Matrix.\n"
// << " * \\ingroup " << fun->group() << "\n"
// << " */\n\n";
}
}
return os;
}
// binary functions with expressions
template<class Stream>
Stream& binary3(Stream& os) const {
for(bfun_iterator fun = bfun().begin(); fun != bfun().end(); ++fun) {
os << "/**\n"
<< " * \\fn " << fun->name() << "(const XprMatrix<E, Rows, Cols>& lhs, const Matrix<T, Rows, Cols>& rhs)\n"
<< " * \\brief " << fun->description() << " function on XprMatrix and Matrix.\n"
<< " * \\ingroup " << fun->group() << "\n"
<< " */\n\n";
os << "/**\n"
<< " * \\fn " << fun->name() << "(const Matrix<T, Rows, Cols>& lhs, const XprMatrix<E, Rows, Cols>& rhs)\n"
<< " * \\brief " << fun->description() << " function on Matrix and XprMatrix.\n"
<< " * \\ingroup " << fun->group() << "\n"
<< " */\n\n";
}
return os;
}
// unary functions
template<class Stream>
Stream& unary(Stream& os) const {
FunctionBase::unary(os);
for(ufun_iterator fun = ufun().begin(); fun != ufun().end(); ++fun) {
os << "/**\n"
<< " * \\fn " << fun->name() << "(const Matrix<T, Rows, Cols>& rhs)\n"
<< " * \\brief " << fun->description() << " function on Matrix.\n"
<< " * \\ingroup " << fun->group() << "\n"
<< " */\n\n";
}
return os;
}
};
int main()
{
XprFunctions xpr_fun;
VectorFunctions vec_fun;
MatrixFunctions mtx_fun;
Function::doxy_groups(std::cout);
xpr_fun(std::cout);
vec_fun(std::cout);
mtx_fun(std::cout);
}

425
tvmet-1.7.1/doc/dox_operators.cc
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@@ -1,425 +0,0 @@
/*
* Tiny Vector Matrix Library
* Dense Vector Matrix Libary of Tiny size using Expression Templates
*
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: dox_operators.cc,v 1.6 2003/11/30 08:26:25 opetzold Exp $
*/
#include <iostream>
#include <vector>
#include <string>
#include <tvmet/config.h>
#include "Util.h"
class OperatorBase
{
public:
OperatorBase() {
m_binary_operators.push_back( BinaryOperator("+", "Addition") );
m_binary_operators.push_back( BinaryOperator("-", "Subtraction") );
m_binary_operators.push_back( BinaryOperator("*", "Multliply") );
m_binary_operators.push_back( BinaryOperator("/", "Division") );
m_binary_operators.push_back( BinaryOperator("%", "Modulo", true) );
m_binary_operators.push_back( BinaryOperator("^", "Exclusive OR", true) );
m_binary_operators.push_back( BinaryOperator("&", "AND", true) );
m_binary_operators.push_back( BinaryOperator("|", "OR", true) );
m_binary_operators.push_back( BinaryOperator("<<", "Left Shift", true) );
m_binary_operators.push_back( BinaryOperator(">>", "Right Shift", true) );
m_binary_operators.push_back( BinaryOperator(">", "Bigger") );
m_binary_operators.push_back( BinaryOperator("<", "Lesser") );
m_binary_operators.push_back( BinaryOperator(">=", "Bigger Equal") );
m_binary_operators.push_back( BinaryOperator("<=", "Less Equal") );
m_binary_operators.push_back( BinaryOperator("==", "Equal") );
m_binary_operators.push_back( BinaryOperator("!=", "Not Equal") );
m_binary_operators.push_back( BinaryOperator("&&", "Logical AND", true) );
m_binary_operators.push_back( BinaryOperator("||", "Logical OR", true) );
m_unary_operators.push_back( UnaryOperator("!", "Logical Not", true) );
m_unary_operators.push_back( UnaryOperator("~", "Bitwise Not", true) );
m_unary_operators.push_back( UnaryOperator("-", "Negate") );
}
virtual ~OperatorBase() { }
public:
template<class Stream>
Stream& header(Stream& os) const {
m_type.header(os);
return os;
}
template<class Stream>
Stream& footer(Stream& os) const {
m_type.footer(os);
return os;
}
template<class Stream>
Stream& binary(Stream& os) const {
return os;
}
template<class Stream>
Stream& unary(Stream& os) const {
return os;
}
public:
typedef std::vector< BinaryOperator >::const_iterator bop_iterator;
typedef std::vector< UnaryOperator >::const_iterator uop_iterator;
public:
virtual const std::vector< BinaryOperator >& bop() const { return m_binary_operators; }
virtual const std::vector< UnaryOperator >& uop() const { return m_unary_operators; }
protected:
std::vector< BinaryOperator > m_binary_operators;
std::vector< UnaryOperator > m_unary_operators;
Type m_type;
};
class XprOperators : public OperatorBase
{
public:
XprOperators() { }
public:
template<class Stream>
Stream& operator()(Stream& os) const {
header(os);
binary(os);
binary2(os);
unary(os);
footer(os);
return os;
}
public:
template<class Stream>
Stream& header(Stream& os) const {
OperatorBase::header(os);
os << "//\n"
<< "// XprOperators.h\n"
<< "//\n\n";
return os;
}
// global binary math, bitops and logical operators
template<class Stream>
Stream& binary(Stream& os) const {
OperatorBase::binary(os);
for(bop_iterator op = bop().begin(); op != bop().end(); ++op) {
os << "/**\n"
<< " * \\fn operator" << op->symbol() << "(const XprVector<E1, Sz>& lhs, const XprVector<E2, Sz>& rhs)\n"
<< " * \\brief " << op->description() << " operator for two XprVector\n"
<< " * \\ingroup " << op->group() << "\n"
<< " */\n\n";
os << "/**\n"
<< " * \\fn operator" << op->symbol() << "(const XprMatrix<E1, Rows1, Cols1>& lhs, const XprMatrix<E2, Cols1, Cols2>& rhs)\n"
<< " * \\brief " << op->description() << " operator for two XprMatrix.\n"
<< " * \\ingroup " << op->group() << "\n"
<< " */\n\n";
}
return os;
}
// global binary math, bitops and logical operators with pod and std::complex<>
template<class Stream>
Stream& binary2(Stream& os) const {
for(Type::const_iterator tp = m_type.begin(); tp != m_type.end(); ++tp) {
for(bop_iterator op = bop().begin(); op != bop().end(); ++op) {
if(tp->is_int() && op->int_only()) {
os << "/**\n"
<< " * \\fn operator" << op->symbol() << "(const XprVector<E, Sz>& lhs, " << tp->name() << " rhs)\n"
<< " * \\brief " << op->description() << " operator between XprVector and " << tp->description() << ".\n"
<< " * \\ingroup " << op->group() << "\n"
<< " */\n\n";
os << "/**\n"
<< " * \\fn operator" << op->symbol() << "(" << tp->name() << " lhs, const XprVector<E, Sz>& rhs)\n"
<< " * \\brief " << op->description() << " operator between " << tp->description() << " and XprVector.\n"
<< " * \\ingroup " << op->group() << "\n"
<< " */\n\n";
os << "/**\n"
<< " * \\fn operator" << op->symbol() << "(const XprMatrix<E, Rows, Cols>& lhs, " << tp->name() << " rhs)\n"
<< " * \\brief " << op->description() << " operator between XprMatrix and " << tp->description() << ".\n"
<< " * \\ingroup " << op->group() << "\n"
<< " */\n\n";
os << "/**\n"
<< " * \\fn operator" << op->symbol() << "(" << tp->name() << " lhs, const XprMatrix<E, Rows, Cols>& rhs)\n"
<< " * \\brief " << op->description() << " operator between " << tp->description() << " and XprMatrix.\n"
<< " * \\ingroup " << op->group() << "\n"
<< " */\n\n";
}
}
}
return os;
}
// global unary operators
template<class Stream>
Stream& unary(Stream& os) const {
OperatorBase::unary(os);
for(uop_iterator op = uop().begin(); op != uop().end(); ++op) {
os << "/**\n"
<< " * \\fn operator" << op->symbol() << "(const XprVector<E, Sz>& rhs)\n"
<< " * \\brief " << op->description() << " operator for XprVector\n"
<< " * \\ingroup " << op->group() << "\n"
<< " */\n\n";
os << "/**\n"
<< " * \\fn operator" << op->symbol() << "(const XprMatrix<E, Rows, Cols>& rhs)\n"
<< " * \\brief " << op->description() << " operator for XprMatrix.\n"
<< " * \\ingroup " << op->group() << "\n"
<< " */\n\n";
}
return os;
}
};
class VectorOperators : public OperatorBase
{
public:
VectorOperators() { }
public:
template<class Stream>
Stream& operator()(Stream& os) const {
header(os);
binary(os);
binary2(os);
binary3(os);
unary(os);
footer(os);
}
public:
template<class Stream>
Stream& header(Stream& os) const {
OperatorBase::header(os);
os << "//\n"
<< "// VectorOperators.h\n"
<< "//\n\n";
return os;
}
// global binary math, bitops and logical operators
template<class Stream>
Stream& binary(Stream& os) const {
OperatorBase::binary(os);
for(bop_iterator op = bop().begin(); op != bop().end(); ++op) {
os << "/**\n"
<< " * \\fn operator" << op->symbol() << "(const Vector<T1, Sz>& lhs, const Vector<T2, Sz>& rhs)\n"
<< " * \\brief " << op->description() << " operator for two Vector\n"
<< " * \\ingroup " << op->group() << "\n"
<< " */\n\n";
}
return os;
}
// global binary math, bitops and logical operators with pod and std::complex<>
template<class Stream>
Stream& binary2(Stream& os) const {
for(Type::const_iterator tp = m_type.begin(); tp != m_type.end(); ++tp) {
for(bop_iterator op = bop().begin(); op != bop().end(); ++op) {
if(tp->is_int() && op->int_only()) {
os << "/**\n"
<< " * \\fn operator" << op->symbol() << "(const Vector<T, Sz>& lhs, " << tp->name() << " rhs)\n"
<< " * \\brief " << op->description() << " operator between Vector and " << tp->description() << ".\n"
<< " * \\ingroup _operators\n"
<< " * \\ingroup " << op->group() << "\n";
os << "/**\n"
<< " * \\fn operator" << op->symbol() << "(" << tp->name() << " lhs, const Vector<T, Sz>& rhs)\n"
<< " * \\brief " << op->description() << " operator between " << tp->description() << " and Vector.\n"
<< " * \\ingroup " << op->group() << "\n"
<< " */\n\n";
}
}
}
return os;
}
// global binary operations with expressions
template<class Stream>
Stream& binary3(Stream& os) const {
for(bop_iterator op = bop().begin(); op != bop().end(); ++op) {
os << "/**\n"
<< " * \\fn operator" << op->symbol() << "(const XprVector<E, Sz>& lhs, const Vector<T, Sz>& rhs)\n"
<< " * \\brief " << op->description() << " operator between XprVector and Vector\n"
<< " * \\ingroup " << op->group() << "\n"
<< " */\n\n";
os << "/**\n"
<< " * \\fn operator" << op->symbol() << "(const Vector<T, Sz>& lhs, const XprVector<E, Sz>& rhs)\n"
<< " * \\brief " << op->description() << " operator between Vector and XprVector\n"
<< " * \\ingroup " << op->group() << "\n"
<< " */\n\n";
}
return os;
}
// global unary operators
template<class Stream>
Stream& unary(Stream& os) const {
OperatorBase::unary(os);
for(uop_iterator op = uop().begin(); op != uop().end(); ++op) {
os << "/**\n"
<< " * \\fn operator" << op->symbol() << "(const Vector<T, Sz>& rhs)\n"
<< " * \\brief " << op->description() << " operator for Vector\n"
<< " * \\ingroup " << op->group() << "\n"
<< " */\n\n";
}
return os;
}
};
class MatrixOperators : public OperatorBase
{
public:
MatrixOperators() { }
public:
template<class Stream>
Stream& operator()(Stream& os) const {
header(os);
binary(os);
binary2(os);
binary3(os);
unary(os);
footer(os);
}
public:
template<class Stream>
Stream& header(Stream& os) const {
OperatorBase::header(os);
os << "//\n"
<< "// MatrixOperators.h\n"
<< "//\n\n";
return os;
}
// global binary math, bitops and logical operators
template<class Stream>
Stream& binary(Stream& os) const {
OperatorBase::binary(os);
for(bop_iterator op = bop().begin(); op != bop().end(); ++op) {
os << "/**\n"
<< " * \\fn operator" << op->symbol() << "(const Matrix<T1, Rows1, Cols1>& lhs, const Matrix<T2, Cols1, Cols2>& rhs)\n"
<< " * \\brief " << op->description() << " operator for two Matrizes\n"
<< " * \\ingroup " << op->group() << "\n"
<< " */\n\n";
}
return os;
}
// global binary math, bitops and logical operators with pod and std::complex<>
template<class Stream>
Stream& binary2(Stream& os) const {
for(Type::const_iterator tp = m_type.begin(); tp != m_type.end(); ++tp) {
for(bop_iterator op = bop().begin(); op != bop().end(); ++op) {
if(tp->is_int() && op->int_only()) {
os << "/**\n"
<< " * \\fn operator" << op->symbol() << "(const Matrix<T, Rows, Cols>& lhs, " << tp->name() << " rhs)\n"
<< " * \\brief " << op->description() << " operator between Vector and " << tp->description() << ".\n"
<< " * \\ingroup " << op->group() << "\n"
<< " */\n\n";
os << "/**\n"
<< " * \\fn operator" << op->symbol() << "(" << tp->name() << " lhs, const Matrix<T, Rows, Cols>& rhs)\n"
<< " * \\brief " << op->description() << " operator between " << tp->description() << " and Vector.\n"
<< " * \\ingroup " << op->group() << "\n"
<< " */\n\n";
}
}
}
return os;
}
// global binary operations with expressions
template<class Stream>
Stream& binary3(Stream& os) const {
for(bop_iterator op = bop().begin(); op != bop().end(); ++op) {
os << "/**\n"
<< " * \\fn operator" << op->symbol() << "(const XprMatrix<E, Rows, Cols>& lhs, const Matrix<T, Rows, Cols>& rhs)\n"
<< " * \\brief " << op->description() << " operator between XprMatrix and Matrix\n"
<< " * \\ingroup " << op->group() << "\n"
<< " */\n\n";
os << "/**\n"
<< " * \\fn operator" << op->symbol() << "(const Matrix<T, Rows, Cols>& lhs, const XprMatrix<E, Rows, Cols>& rhs)\n"
<< " * \\brief " << op->description() << " operator between Matrix and XprMatrix\n"
<< " * \\ingroup " << op->group() << "\n"
<< " */\n\n";
}
return os;
}
// global unary operators
template<class Stream>
Stream& unary(Stream& os) const {
OperatorBase::unary(os);
for(uop_iterator op = uop().begin(); op != uop().end(); ++op) {
os << "/**\n"
<< " * \\fn operator" << op->symbol() << "(const Matrix<T, Rows, Cols>& rhs)\n"
<< " * \\brief " << op->description() << " operator for Matrix\n"
<< " * \\ingroup " << op->group() << "\n"
<< " */\n\n";
}
return os;
}
};
int main()
{
XprOperators xpr_op;
VectorOperators vec_op;
MatrixOperators mtx_op;
Operator::doxy_groups(std::cout);
xpr_op(std::cout);
//vec_op(std::cout);
//mtx_op(std::cout);
}

295
tvmet-1.7.1/doc/faq.dox
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@@ -1,295 +0,0 @@
/**
\page faq FAQ
<p>Contents:</p>
-# \ref license_tvmet
-# \ref commercial_tvmet
-# \ref debug
-# \ref optimize
-# \ref ambiguous_overload
-# \ref conversion_non_scalar
-# \ref could_not_convert
-# \ref assign_op
-# \ref comma_initializer
-# \ref no_match_operator
-# \ref dimension_error
-# \ref rtlx_kernel_crash
-# \ref regressiontest_failed
Certain items on this page are also covered by the \ref usage and \ref notes
pages!
\section license_tvmet How is tvmet licensed?
tvmet comes with completely free source code. tvmet is available under the
terms of the GNU Lesser General Public License (LGPL).
I have amended the LGPL to explicitly allow statically linking tvmet (or any
modified version of tvmet) to your software. The LGPL is not clear on this
and I definitely want to allow it.
\sa \ref license
\section commercial_tvmet Can I use it in commercial software products?
Yes, you can. The LGPL allows you to do this, and you do not need to release
the source code to your software. You do need to release the source code for
any modifications you make to tvmet itself. (We would hope you would send
any improvements like these back to us anyways.)
\section debug Debugging the code
Not all faults can be caught at compile time. Therefore, there is a need
for runtime debugging by defining <code>TVMET_DEBUG</code> (e.g. index
operators of <code>Vector::operator(i)</code> and
<code>Matrix::operator(i,j)</code>). On defined TVMET_DEBUG a bounds checking
is involved. Runtime errors are handled throwing an assertion failure using
std::assert(). <code>TVMET_DEBUG</code> is <b>not</b> enabled by defining
<code>DEBUG</code>. This behavior differs from release less than 0.6.0
If you don't get the expected result on certain operations you can try the
\ref expr_print feature to check that the expression is being evaluated as
you expect.
\section optimize Optimizing the code
Starting after tvmet 1.5.0 there is a new define <code>TVMET_OPTIMIZE</code>.
If this is defined tvmet uses some compiler specific keywords.
Mainly, this declares the functions using gcc's
<tt>__attribute__((always_inline))</tt>. This allows the
compiler to produce high efficient code even on less
optimization levels, like gcc's -O2 or even -O!
This is known to work with gcc v3.3.3 (and higher).
Using icc's v8 gnuc compatibility mode this may work, I've read
that it's using as an hint, this means you can have static inline
functions inside left so you can't get the full power of this feature
for circumstances.
\section ambiguous_overload ambiguous overload for ... Compiler Error
When using gcc-2.96 you can get a compiler error like:
\code
ambiguous overload for ...
/usr/include/g++-3/stl_relops.h:42: candidates are: bool operator>
...
\endcode
I haven't any solution for this--even if I don't use it in the tvmet library.
A simple define __SGI_STL_INTERNAL_RELOPS in the config header doesn't solve
the problem. The easiest way (brute force method) is to comment out all
operators in stl_reops.h. (The better way is to use the gcc-3.0.x and later,
see \ref compiler.)
\section conversion_non_scalar conversion from ... to non-scalar type ... Compiler Error
You get a compiler error like:
\code
conversion from `tvmet::XprVector< ... >, Sz>' to non-scalar type
`tvmet::Vector<T, Sz>' requested
\endcode
Please read about \ref construct. You probably ignored or forgot the rules
of using expression templates.
\section could_not_convert could not convert `tvmet::operatorXX(...)' to `bool' ... Compiler Error
You get a compiler error like:
\code
could not convert `tvmet::operator==( ... , ... )' to `bool'
\endcode
In the example above, you did try (or hoped) to use a global operator==
which doesn't return a bool. Please read \ref compare.
\section assign_op no match for ?= operator
You get a compiler error like:
\code
no match for `tvmet::Vector<...>& /= tvmet::Vector<...>&' operator
\endcode
For element-wise operations, you need to use the element_wise namespace
(found within tvmet). As the name suggests, all these operators are
performed in an element wise fashion. (e.g. division of two vectors--not
allowed from a mathematical perspective--element by element.) The following
code snippet shows how to use it:
\code
using namespace tvmet;
Vector<double,3> v1, v2;
v1 = 1,2,3;
v2 = v1;
cout << v1 << endl;
{
using namespace tvmet::element_wise;
v1 /= v2;
}
cout << v1 << endl;
\endcode
\sa \ref operators
\sa \ref alias
\section comma_initializer storage size of `ERROR_CommaInitializerList_is_too_long' isn't known
You get a compiler error like:
\code
In member function `tvmet::CommaInitializer<Obj, LEN>::Initializer<T, (N + 1)> ....
storage size of `ERROR_CommaInitializerList_is_too_long' isn't known
\endcode
You have caused a forced compile time error. tvmet prevents you from
overwriting foreign memory! In other words, your comma separated initializer
list is too long, e.g. you wrote something like:
\code
using namespace tvmet;
Vector<double,3> v0;
v0 = 1,2,3,4,5,6,7,8,9;
\endcode
You just tried to fill a %Vector of length 3 with 9 values, which would
normally result in values being written off the end of the vector. tvmet
prevents this with the compile time error you just saw.
\section no_match_operator no match for `...' operator
You get a compiler error like:
\code
no match for `tvmet::Matrix<T, Sz, Sz>& * tvmet::XprVector<tvmet::MatrixColVectorReference<T, Sz, Sz>, Sz>' operator
include/tvmet/xpr/VectorOperators.h:123: candidates are:
// a lot of candidates....
\endcode
Perhaps you wrote code like:
\code
Matrix<float,3,3> eigenvecs;
Matrix<float,3,3> M;
...
Vector<float,3> ev0( M * col(eigenvecs, 0) );
\endcode
Using %tvmet prior to release 1.2.0 in this case: Obviously an operator
is missing... but which one? Well, all arithmetic operators have a
functional equivalent, in this case, prod(). Rewriting the code above
using the function syntax will give you a more descriptive error message:
\code
no matching function for call to
`prod(tvmet::Matrix<float, 3, 3>&, tvmet::XprVector<tvmet::MatrixColVectorReference<float, 3, 3>, 3>)'
\endcode
This says, I forgot to write a function with the appropriate operator.
In this case, please give me a hint by writing a short example, used compiler
and tvmet release.
\sa \ref dimension_error.
\section dimension_error no match for `tvmet::Matrix<double, R, C>& * tvmet::Vector<double, Sz>&' operator
You get a compiler error like:
\code
no match for `tvmet::Matrix<double, 4, 4>& * tvmet::Vector<double, 3>&' operator
candidates are: T tvmet::operator*(const T&, ...) ...
\endcode
This is a feature of tvmet. The compiler detects a mathematical problem:
You tried call an operator between tvmet objects which had incompatible
dimensions. For example, you attempted to multiply a matrix of dimension
4x4 with a vector of size 3 - this isn't mathematically feasible.
\section rtlx_kernel_crash Using with Linux Real-time Extensions crashes in kernel mode
Normally there should not be a problem on using tvmet inside Linux kernel
space as a C++ kernel module. Unfortunately, code working in normal
environment (e.g. Linux user space) crashes the Linux box by using linux
real-time extensions, definitely on <a href=http://www.rtai.org>RTAI</a>.
I haven't found the reason yet, my knowledge of assembler and debugging is
too limited.
\section regressiontest_failed Failed regression tests
Well, this is a strange world. It can happen that some (especially the
tan) regression test can fail. This is not a problem with the %tvmet library.
After some hours I reduce the problem to:
\code
cout << (std::tan(1.0) - std::tan(1.0)) << endl;
\endcode
got <tt>6.17995e-17</tt> on my Linux Mandrake 8.2/9.1 box. It makes no
difference if I take the tan function from namespace std or from the global
namespace. This is especially a problem for g++ v3.2 and prior. The Intel
compiler v7.0 isn't affected.
Especially on VC++ 7.1 you will get 2 failed tests for complex
%Matrix and %Vector. The error is about <tt>8.88178e-016</tt> and
<tt>1.77636e-015</tt>.
*/
// Local Variables:
// mode:c++
// End:
// LocalWords: RTAI

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<hr>
<table width="100%">
<tr>
<td width="20%" align="right" valign="center">
Author:<br>
<script language="JavaScript">
var m_name="opetzold";
var m_domain="users.sourceforge.net";
var m_text='<a href="mailto:'+m_name+'@'+m_domain+'?subject=tvmet @VERSION@">';
m_text+='Olaf Petzold</a>';
document.write(m_text);
</script>
</td>
</tr>
</table>
</body>
</html>

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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">
<html>
<head><meta http-equiv="Content-Type" content="text/html;charset=iso-8859-1">
<title>
Tiny Vector Matrix library using Expression Templates
</title>
<!-- This Tiny Vector and Matrix C++ template libary uses Meta Templates and
Expression Templates to evaluate results at compile time - to make it fast
for low order (tiny) systems. -->
<META name="description" content="This Tiny Vector and Matrix C++ template
libary uses Meta Templates and Expression Templates to evaluate results
at compile time - to make it fast for low order (tiny) systems.">
<META name="keywords" content="tiny, vector, matrix, fast, C++, STL, template, library,
expression templates, meta templates, fixed size, fixed dimension,
matrix-matrix, matrix-vector, vector-matrix, binary, unary, operations, operators,
product, transpose, linear algebra, cross product, dot product, type promotion,
exception, linux, kernel, embedded system, regression test, gcc, g++,
blitz, blitz++, TinyVector, TinyMatrix, MTL, TNT,
gnu compiler suite, portland group c++, kai c++, intel compiler, LGPL">
<link href="tvmet.css" rel="stylesheet" type="text/css">
</head>
<body bgcolor="#ffffff">
<table width="100%">
<tr>
<td width="20%" align="left" valign="center">
<a href="http://sourceforge.net/projects/tvmet">
<img src="http://sourceforge.net/sflogo.php?group_id=39733&type=3" width="125" height="37" border="0" alt="SourceForge Logo"></a>
</td>
<td width="50%" align="center" valign="center">
<b><big>T</big>iny <big>V</big>ector <big>M</big>atrix library using <big>E</big>xpression <big>T</big>emplates</b>
</td>
<td width="20%" align="right" valign="center">
<a href="http://tvmet.sourceforge.net">Sourceforge Project Page</a>
</td>
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<hr>

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/*
* $Id: intro.dox,v 1.12 2004/11/30 09:05:53 opetzold Exp $
*/
/**
\mainpage
\section intro_contents Contents
- \ref introduction
- \ref license
- \ref news
- \ref changelog
- \ref benchmark
- \ref build
- \ref usage
- \ref faq
- \ref notes
- \ref compiler
- \ref works
- \ref credits
- \ref projects
- \ref links
*/
/**
\page introduction Introduction
This Tiny %Vector and %Matrix template library uses
<a href=http://extreme.indiana.edu/~tveldhui/papers/Template-Metaprograms/meta-art.html>Meta Templates</a>
(MT) and <a href=http://extreme.indiana.edu/~tveldhui/papers/Expression-Templates/exprtmpl.html>
Expression Templates</a> (ET) to evaluate results at compile time -- which
makes it fast for low order (tiny) systems. "Tiny" is a subjective term,
but typically means vectors and matrices of size ten (10) or less.
The technique used internally by tvmet is described by Todd Veldhuizen:
- <a href=http://osl.iu.edu/~tveldhui/papers/techniques/>
Techniques for Scientific C++</a>
- <a href=http://osl.iu.edu/~tveldhui/papers/Expression-Templates/exprtmpl.html>
Expression Templates</a>
- <a href=http://osl.iu.edu/~tveldhui/papers/Template-Metaprograms/meta-art.html>
Template Metaprograms</a>
and is used by his <a href=http://oonumerics.org/blitz/>blitz++</a>, too.
Therefore, the speed achieved by tvmet is similar to the speed of blitz++.
Unfortunately, blitz++ isn't developed any more (year 2001, 2002)
because of other interests being pursued by Todd Veldhuizen (like his Ph.D.).
Furthermore, blitz++'s TinyVector is mainly developed for use by the blitz++
Array class -- and not for minimalistic/tiny fast math support for which
tvmet <b>is</b> designed. Because of this, the operators and functions are
incomplete or not supported well. blitz::TinyMatrix supports a few lesser
operators and functions (as with blitz::TinyVector). blitz++ doesn't conform
to STL (e.g. Container<>::value_type isn't defined), it defines a T_numtype
or, for blitz::TinyVector, it does have an iterator begin() - but the end()
is missing (blitz::TinyMatrix doesn't have anything).
These were reasons why I developed tvmet. Still, tvmet is designed to be more
than a mere rehashing of blitz++. The primary design goals are:
-# mathematical notation and correctness,
-# high efficiency for small/tiny vector and matrices,
-# functionality and wide range of supported operators and functions, and
-# compatibility and portability.
The dimensions for vectors and matrices are statically bound at compile
time using template arguments. The bounded dimensions feature a <b>compile
time dimension check</b> to force adherence to proper dimensional sizes
between operands (even in the night if you are sleepy). For example, you
can't assign a %Vector or %Matrix with dimension = 3 to a %Vector or %Matrix
of dimension = 4; nor can you create an expression using a binary operation
between arguments with incompatible dimensions. This is a major difference
between tvmet (which features this) and blitz++ (which does not prevent
from this). Nevertheless, tvmet isn't a matlab, maple or octave for C++.
tvmet is a general purpose library and is not (yet) a linear algebra library.
It does not have an interface to other numerical libraries as BLAS or LAPACK.
<a href="http://sourceforge.net/projects/tvmet">Tiny Vector Matrix template
library</a> offers these features:
-# Matrices and Vectors with fixed sizes (of course), the data is stored in
a static array.
-# compile time dimension check for Vectors and Matrices to preserve the
mathematical meaning.
-# vector, matrix, matrix-matrix and matrix-vector fast operations:
- complete set of standard arithmetic operations for Vectors and Matrices
(<a href=http://oonumerics.org/blitz/>blitz++</a> supports this only for
TinyVector).
- complete set of standard compare operations for Vectors and Matrices
as well as ternary functions like <tt>a ? b : c</tt> (see eval for use).
- binary and unary operations.
- meta template use for %Matrix-Matrix-Product \f$M\,M\f$,
%Matrix-Transpose \f$M^T\f$ and %Matrix-Vector-Product \f$M\,x\f$
functions and operators.
- meta template for special functions like
\f$M^T\, x\f$, \f$M^T\,M\f$, \f$M\,M^T\f$ and \f$(M\,M)^T\f$
functions, see \ref spec_meta_func.
- simple %Matrix rows and column access as a %Vector.
- chaining of matrix and vector expressions is possible and working.
- %Vector inner and outer product (dot and cross product).
-# special handling for the aliasing problem - see \ref alias.
-# STL iterator interface. This opens the door to all sorts of great STL
applications.
-# type promotion (for handling Matrices and Vectors of differing types).
-# works on self defined types such as the std::complex<> type.
-# makes no use of exceptions. Therefore you can use it for embedded systems
or in Linux kernel space.
-# nice expression level printing for debugging purposes (print the expanded
expression tree).
-# good documentation with examples.
-# regression tests for nearly all operations and functions.
-# support for several compilers (see \ref compiler).
-# written as a pure class and template library, no binary libraries and
versioning are needed - designed to avoid code blot due to the use of
templates.
-# ISO/IEC 14882:1998 compliant.
Although there are many advantages and features, tvmet has some limitations.
Due to the expression template and meta template programming, the compilation
time increases for higher dimensional constructs. This can cause resource
limitations, especially for memory (during compilation). On the other hand,
the runtime performance will also decrease on higher order. Therefore only
use tvmet only tiny (typically less than 10) sizes. (The maximum useful
size/dimension depends on the operation, of course.) The \ref benchmark
gives a good entry point about these problem.
<a href=http://www.oonumerics.org/oon/#libraries>Other</a>
general purpose libraries and linear algebra libraries will do a better job
for larger matrix/vector problems.
*/
/**
\bugs regression test TestUnFunc::Arc and TestUnFunc::Log fails due to
precision errors.
*/
// Local Variables:
// mode:c++
// End:

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/*
* $Id: license.dox,v 1.7 2004/06/08 12:11:15 opetzold Exp $
*/
/**
\page license License
<p>Contents:</p>
- \ref tvmet_license
- \ref addendum
- \ref rationale
\section license tvmet's License
Copyright (C) 2001-2003 Olaf Petzold.
tvmet basically follows the standard GNU Lesser General Public License (LGPL).
Because of repeated questions on this topic, it has become apparent that many
people still had a number of uncertainties about licensing issues. Also, a
number of stipulations in the GNU Lesser Public License statement have
evidently been an impediment to truely wide-spread adoption of the tvmet
Library.
Thus, the intent of the License Addendum has been to provide clarification
of a number of obscure issues in the GNU Lesser General Public License, and
to relax a few of its stipulations with an eye to solving a couple of
practical issues.
Below follows the GNU Lesser Public License, followed by the tvmet Library
License addendum.
Finally, detailed rationale behind the License Addendum is presented.
\section tvmet_license The License
<pre>
GNU LESSER GENERAL PUBLIC LICENSE
Version 2.1, February 1999
Copyright (C) 1991, 1999 Free Software Foundation, Inc.
59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
Everyone is permitted to copy and distribute verbatim copies
of this license document, but changing it is not allowed.
[This is the first released version of the Lesser GPL. It also counts
as the successor of the GNU Library Public License, version 2, hence
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Copyright (C) &lt;year&gt; &lt;name of author&gt;
This library 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 2.1 of the License, or (at your option) any later version.
This library 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 for more details.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
Also add information on how to contact you by electronic and paper mail.
You should also get your employer (if you work as a programmer) or your
school, if any, to sign a "copyright disclaimer" for the library, if
necessary. Here is a sample; alter the names:
Yoyodyne, Inc., hereby disclaims all copyright interest in the
library `Frob' (a library for tweaking knobs) written by James Random Hacker.
&lt;signature of Ty Coon&gt;, 1 April 1990
Ty Coon, President of Vice
That's all there is to it!
</pre>
\section addendum Addendum to License
<pre>
ADDENDUM TO LICENSE
February 2003
Copyright (C) 2003 Olaf Petzold
Everyone is permitted to create and distribute verbatim copies
of this license addendum document, but changing it is not allowed.
tvmet License Agreement:
0. tvmet ("The Library") is licensed under GNU Lesser General Public License
as published by the Free Software Foundation, version 2.1 of the License, or
(at your option) any later version, with the following additional conditions.
The following conditions take precedence over any conditions or restrictions
stipulated by the Lesser General Public License insofar as a conflict exists.
1. The tvmet License Agreement ("License") covers only tvmet ("The Library").
Other libraries which the Library may use are covered by their own respective
licenses.
2. Modification of the configure scripts, makefiles, or installation tools of
the Library to support a specific platform does not constitute creating a
modified or derivative work based on the Library.
3. Statically linking of a copy of the Library against any work using the
Library, i.e. the inclusion of (parts of) the Library into a program or
binary, is functionally equivalent to a work using the Library by linking to
it dynamically, and therefore does not constitute creating a modified or
derivative work based on the Library.
4. Otherwise, if the work is a derivative of the Library, you may distribute
the object code for the work under the terms of the GNU Lesser General Public
License. Any executables containing that work also may be distributed under
the Lesser General Public License whether or not they are linked directly
with the Library itself.
5. Programs or binaries linked with the Library must be identified as such by
including, in the Documentation or by other means (for example in the About
Box or Online Help), the following statement:
"This software uses tvmet (http://tvmet.sourceforge.net)."
END OF ADDENDUM
</pre>
\section rationale Rationale
We now launch into a point by point discussion of the License Addendum:
<ul>
<li>
Point 0 says that whereever LGPL and tvmet License Addendum disagree, the tvmet
License Addendum holds. In points not covered in the tvmet License Addendum,
LGPL shall hold.
</li>
<li>
Point 1 says we can not make any statements about anyone else's code; if your
application must use other libraries (jpeg, png, tiff, glibc, and so on), then
you must observe the licenses of these other libraries.
</li>
<li>
Point 2 clarifies that when we're talking about derived works, we're not talking
about making some minor changes to Makefiles or configuration scripts. However,
it would still be nice to communicate them with the tvmet community so as to be
able to support new platforms.
</li>
<li>
Point 3 addresses the practical problem of linking tvmet statically into an
application program or combined work. LGPL insists that the recipient of a
distribution of a combined work i.e. a program linked with the Library, be
allowed to relink; linking a program dynamically is usually the easiest way to
comply with this stipulation. However, there are sometimes practical or
logistical problems which make it difficult to comply with this requirement. We
have taken the position that static linking is functionally equivalent to
linking dynamically, and we're not really denying the recipient of a statically
linked program any source code he or she wouldn't be able to obtain otherwise.
</li>
<li>
Point 4 says that if you make a work based on the Library, then you may
distribute this under the Lesser General Public License:- in other words, point
4 applies only to a work using the Library being linked (statically or
dynamically) to the Library. It is in the spirit of LGPL that the recipient of
the combined work not be denied anything he or she would be able to receive with
the regular LGPL. However, statically linking an application program with a work
based on the Library, i.e. a modified copy would do just that! Point 5 says that
the regular Lesser General Public License applies in that case.
</li>
<li>
Point 5 requires you to identify your program as using the tvmet library. With
static linking, there would be no way for a normal user to tell otherwise. We
request that you include the given statement, and preferably a version number
also. The motivation is two-fold:
-# A certain amount of publicity for tvmet :-)
-# Some way for recipients of your program to know that (a) your program is
linked to the tvmet Library, and (b) for them to verify that they have in fact
not been denied anything they would have been able to obtain under LGPL, by
visiting this page which details the license information (there are many GPL-
vigilantes out there, and this might appease them).
</li>
</ul>
This concludes our remarks on the License revision; please feel free to contact
me if you have additional questions. The rationale section will likely be
expanded when there are still questions left unanswered.
*/
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/*
* $Id: links.dox,v 1.3 2003/12/05 19:08:59 opetzold Exp $
*/
/**
\page links Links of Interest or Related Links
\section generell General Information on Numeric C++
- <a href=http://osl.iu.edu/~tveldhui/papers/techniques/>Techniques for Scientific C++</a>
- <a href=http://osl.iu.edu/~tveldhui/papers/Expression-Templates/exprtmpl.html>Expression Templates</a>
- <a href=http://osl.iu.edu/~tveldhui/papers/Template-Metaprograms/meta-art.html>Template Metaprograms</a>
- <a href=http://oonumerics.org/oon/>The Object-Oriented Numerics Page</a> - a very good entry point
- <a href=http://www.openscience.org/links.php?section=103>The OpenScience Project > Mathematics > Linear Algebra</a>
- <a href=http://sal.kachinatech.com/B/0/>SAL- Numerical Analysis - Miscellaneous Software</a>
\section numlibs Other ET and MT Vector and Matrix Libraries
- <a href=http://oonumerics.org/blitz/>blitz++</a>
- <a href=http://www.genesys-e.org/ublas/>uBlas</a>
- <a href=http://www.lsc.nd.edu/research/mtl>MTL</a>
- <a href=http://sourceforge.net/projects/etsmo/>ETSMO</a> - no files released since over one year
- <a href=http://met.sourceforge.net/>MET</a>
- <a href=http://sourceforge.net/projects/metaet/>meta::Expr{T_emplate}</a>
- <a href=http://www.acl.lanl.gov/pete/>PETE</a>
- <a href=http://www.acl.lanl.gov/pooma/>POOMA</a>
- <a href=http://math.nist.gov/tnt/>TNT</a> - Template Numerical Toolkit
This list isn't complete. For more freely available libraries please have
a look <a href=http://www.oonumerics.org/oon/#libraries>here</a>.
*/
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/*
* $Id: misc.dox,v 1.1.1.1 2003/02/08 19:32:50 opetzold Exp $
*/
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/*
* $Id: notes.dox,v 1.20 2004/04/11 01:29:41 opetzold Exp $
*/
/**
\page notes Some Notes ...
<p>Contents:</p>
-# \ref optimizing
-# \ref temporaries
-# \ref operators
-# \ref threads
-# \ref expressions
-# \ref adl
-# \ref alias
-# \ref spec_meta_func
-# \ref mmv
\section optimizing ... on optimizing
This depends heavily on compiler and the flags used. The code produced with
-O could be better than with -O2 even on gcc-2.9x suite. To get the best
results, you should examine the assembler code generated by your compiler.
Maybe I will write a benchmark suite for different compiler options one day.
(Maybe you could contribute?)
\section temporaries ... on temporaries
The use of expression templates (ET) and meta templates (MT) allows the
generated code to avoid the creation of many temporaries -- especially with
standard mathematical and assignment operations. There are times that you
have to use actual temporaries e.g. when swapping variables of type
double -- with integer values you can use the XOR operator.
Some implementations are using a loop with temporaries even if there is a
solution with ET. Than the loops are faster than MT.
\sa \ref mmv
\section operators ... on operators and namespace element_wise
Some operations on matrices and vectors are not available at first glance.
These are defined in the namespace <code>element_wise</code> because they
are element wise (and not strictly mathematical) operations.
But there is more: some functions do element wise operations per se (e.g.
vector addition) and are NOT inside namespace element_wise. Furthermore,
all comparison operators perform element wise operations.
\sa \ref compare
\section threads ... about Threads
This library is not thread safe. It's designed for small math operations where
the overhead for locking policies is too great. If you require locking for
a multi-threaded application, you will need to write a wrapper.
\section expressions ... on expressions
The first versions of %tvmet had only one expression (Xpr) which was shared
for both vectors and matrices. This was working fine, but limited tvmet's
use for arithmetic expressions expressions on complex values. For this
reason, I had to separate expression types for vectors and matrices. The
same problem appeared when using the eval() function for evaluating these
expressions. (Which index operator should handle it?) Unfortunately, the
use of separate expression types vastly increases the number of operators
and functions needed to make the library viable. Fortunately, most boundary
checks are not necessary since they are done at compile time (such as those
needed by the assignment operator, etc).
\section adl ... on namespaces and Koenig Lookup
IMO, the cleanest way would be to put all functions into their own
namespace <code>Functional</code> instead of naming them with the
<code>fncl_</code> prefix they currently have. (I did beforehand, and
have thought better since). Unfortunately, this technique doesn't work well.
I got compiler errors like:
\code
template <class T> Functional::xyt<T>' is not a function
conflict with `template <class E> xyz(Xpr<E>)' in call to `xyz'
\endcode
when trying:
\code
typedef Vector<double, 3> vector3d;
vector3d t1(1,2,3);
vector3d t2(t1);
vector3d r;
r = sqrt( t1 * t2 );
\endcode
ADL (argument dependent lookup), aka Koenig Lookup, is causing the
compiler to check for a match in namespace Functional, since the
template instantiation is part of Functional (the Xpr stuff), it matches
before the global namespace (the Vector stuff) is checked. Writing:
\code
r = ::sqrt( t1 * t2 );
\endcode
seems to solve the problem at first glance. However, to force the user of
the library into this syntax is painful and could probably run cause other
problems with other namespaces (I haven't checked this). Therefore, all
"Functionals" have the prefix fncl_.
\section alias ... about aliasing
tvmet assumes that all matrices and vectors are alias free. These means that
source and destination memory layout of matrices and vectors never overlaps
(during an operation).
This is very easy to understood if you see a matrix-vector product. Both
contain different data in different (unique, non-overlapping) memory
regions -- hence, they are alias free. Contrast this with a matrix-matrix
multiply which maybe can have an aliasing, e.g. \f$A = A * B\f$.
When source and destination memory regions are the same, the computed results
may be wrong. (Probably they will be.) But, \f$C = A * B\f$ is alias free.
Let's see an example in detail:
\par Example:
\code
Matrix<double,3,3> M1;
M1 = 1,2,3,4,5,6,7,8,9;
cout << "M1 = " << M1 << endl;
M1 = trans(M1);
cout << "M1 = " << M1 << endl;
\endcode
\par Output:
\code
M1 = Matrix<d, 3, 3> = [
[1, 2, 3],
[4, 5, 6],
[7, 8, 9]
]
M1 = Matrix<d, 3, 3> = [
[1, 4, 7],
[4, 5, 8],
[7, 8, 9]
]
\endcode
As you can see, the lower triangular matrix isn't what you expected due to
the aliasing. These results depends on the compiler optimizations, too.
Unfortunately, to avoid the aliasing problem, you must use temporaries
as shown here:
\par Example:
\code
matrix_type temp_A(A);
A = temp_A * B;
cout << "matrix_type temp_A(A);\n"
<< "A = temp_A * B = " << A << endl;
\endcode
Anyway, it seems there is a small exception (no guarantee, since it's
compiler dependent I assume) for element wise operations with matrices
or vectors on right hand side.
Starting with tvmet release 1.4.1 there is a new function alias. These
function use a proxy to call special member functions of the %Matrix/Vector
class. These member functions introduce the temporary for you.
\par Example:
\code
typedef tvmet::Matrix<double, 3, 3> matrix_type;
matrix_type M;
std::generate(M.begin(), M.end(),
tvmet::util::Incrementor<matrix_type::value_type>());
std::cout << "M = " << M << std::endl;
alias(M) = trans(M);
std::cout << "M = " << M << std::endl;
\endcode
with the expected
\par Output:
\code
M = [
[1, 4, 7],
[2, 5, 8],
[3, 6, 9]
]
\endcode
These function/proxy will work for the element wise operators +=, -=, *= and /=
with expressions, e.g. as trans() returns.
\sa \ref assign_op
\section spec_meta_func ... special Meta-Template Functions
From a principle point of view, there is no need for some special functions
for %Matrix and %Vector functions, namely \f$M^T\, x\f$, \f$M^T\,M\f$,
\f$M\,M^T\f$, and \f$(M\,M)^T\f$.
Unfortunately, the g++ compiler throws in the towel sometimes even on
transposing matrices. Because of this, %tvmet offers specialized functions
which speed up at runtime (about factor 2 ... 3) using meta templates.
\par Example:
\code
using namespace tvmet;
Matrix<double, 6, 3> M1(0); // will be transposed to be conform to vector size
Vector<double, 6> v1(0);
Vector<double, 3> v2(0);
M1 = ...
v1 = ...
v2 = Mtx_prod(M1, v1); // equal to: v2 = trans(M1)*v1;
\endcode
BTW, the %Matrix-%Matrix \f$M\,M\f$ and %Matrix-%Vector \f$M\,x\f$
products use Meta-Templates, too.
\sa \ref Mtx_prod
\sa \ref MMt_prod
\sa \ref MtM_prod
\sa \ref trans_prod
\section mmv ... about Matrix-Matrix-Vector and Matrix-Matrix-Matrix-operations
The problem is related to the optimizer - due to the expression and meta
templates used.
Internally, an expression template may contain other expression templates
(meta templates inside as well as) too - the compiler will unroll all of
these expression into a single resultant expression (which is a hard job).
Sometimes the code generated from this is worse (from a performance point
of view) than just using simple temporaries.
You can chain matrix-matrix and matrix-vector operations without writing
temporaries by yourself (if this is what you want).
\par from examples/hspiess.cc:
\code
tvmet::Matrix<double,3,2> B;
tvmet::Matrix<double,3,3> D;
tvmet::Matrix<double,2,2> K;
B =
-0.05, 0,
0, 0.05,
0.05, -0.05;
D =
2000, 1000, 0,
1000, 2000, 0,
0, 0, 500;
K = trans(B) * D * B;
\endcode
The performance can be sub optimal due to the increasing complexity
of operations. This can be reduced by a user specified temporary:
\par from examples/hspiess.cc:
\code
// as before
K = tvmet::Matrix<double,2,3>(trans(B) * D) * B;
\endcode
or
\code
K = prod(tvmet::Matrix<double,2,3>(prod(trans(B), D)), B);
\endcode
At this moment an intelligent cache and pre-evaluating strategy is
missing by %tvmet.
\sa \ref spec_meta_func
\sa some notes \ref temporaries
*/
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/*
* $Id: projects.dox,v 1.6 2004/04/09 05:48:16 opetzold Exp $
*/
/**
\page projects Projects using tvmet
Please write me about projects using tvmet - I'm highly interested in !
-# Not really a project but, an interesting application is
<a href=http://www.radiumsoftware.com/files/pathtrace.cxx.1.12.txt>here</a>.
-# <a href=http://www.iplt.org>IPLT</a>, an image processing libary
and toolbox for the electron microscopy community.
*/
// Local Variables:
// mode:c++
// End:

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%% Version: $Id: tvmet.sty.in,v 1.2 2004/03/27 14:00:33 opetzold Exp $
\NeedsTeXFormat{LaTeX2e}[1995/12/01]
\def\@rcs@ $#1Date: #2 #3$$#4Revision: #5$ {
\ProvidesPackage{tvmet}[#2 v#5tvmet doxygen latex style]}
\@rcs@ $Date: 2004/03/27 14:00:33 $$Revision: 1.2 $
\DeclareOption{}{%%%
}
%%\DeclareOption*{\PassOptionsToPackage{\CurrentOption}{}}
\ExecuteOptions{}
\ProcessOptions
% elementary for pdflatex
\newif\ifpdf
\ifx\pdfoutput\undefined
\pdffalse % no pdftex
\else
\pdfoutput=1 % running pdftex
\pdftrue
\fi
% Postscript fonts
\RequirePackage[scaled=0.92]{helvet}
\RequirePackage{courier}
\RequirePackage{typearea} % from KOMA script
% doxygen need this; it includes the style for formulas too
\RequirePackage{fancyhdr}
%%%%%%%%%%%%%%%%%%%%%%%%% tvmet style %%%%%%%%%%%%%%%%%%%%%%%%%
%%
%% page borders
%%
\areaset[2cm]% % binding border
{16cm}{26cm} % text width and height
%%
%% sans serif is default font
%%
\renewcommand{\familydefault}{\sfdefault}
%%
%% overwrite doxygen's hyperref setup
%%
\ifpdf\hypersetup{
baseurl={http://tvmet.sourceforge.net},
pdftitle={@PACKAGE@ @VERSION@ Reference Manual},
pdfauthor={\textcopyright\,Olaf Petzold},
pdfsubject={%
This Tiny Vector and Matrix C++ template
libary uses Meta Templates and Expression Templates to evaluate results
at compile time - to make it fast for low order (tiny) systems.
},
pdfkeywords={%
tiny vector matrix fast C++ STL template library
expression templates meta templates fixed size fixed dimension
matrix-matrix matrix-vector vector-matrix binary unary operations operators
product transpose linear algebra cross product dot product type promotion
exception linux kernel embedded system regression test gcc g++
blitz blitz++ TinyVector TinyMatrix MTL TNT
gnu compiler suite portland group c++ kai c++ intel compiler LGPL
},
%
bookmarks={true},
bookmarksnumbered={true},
bookmarksopen={true},
pdfpagelabels={true},
pdfmenubar={true},
pdftoolbar={true},
plainpages={false},
pdfstartview={FitH},
pdfpagemode={UseOutlines},
pdfhighlight={/I}
}
\fi
%%
%% overwrite fancyheadings
%%
\makeatletter
\def\cleardoublepage{\clearpage\if@twoside \ifodd\c@page\else
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%%% End:

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/*
* $Id: usage.dox,v 1.14 2004/07/03 17:09:23 opetzold Exp $
*/
/**
\page usage Usage
<p>Contents:</p>
-# \ref include
-# \ref construct
-# \ref c_arrays
-# \ref compare
-# \ref pod
-# \ref stl
-# \ref matrix_access
-# \ref expr_print
\section include Include files
The Tiny %Vector and %Matrix template library has many include files spread
throughout the %tvmet include directory. As a user, you need only include
<tt><%tvmet/Vector></tt> for vector operations and/or
<tt><%tvmet/Matrix></tt> for matrix operations.
\par Example:
\code
#include <tvmet/Matrix.h>
#include <tvmet/Vector.h>
using namespace tvmet;
\endcode
Simple, isn't it? Don't forget to use the namespace tvmet, but keep in mind
that using the using directive inside headers will pollute the namespace. If
you write this in a header file, the namespace for all subsequent header
files (those which include the one you're writing) will also be polluted.
(This is not a %tvmet specific phenomenon.) Therefore, write the using
statement in the C++ file.
\section construct Construction and Initializing
Due to the nature of
<a href=http://extreme.indiana.edu/~tveldhui/papers/Expression-Templates/exprtmpl.html>
Expression Templates</a> (ET) you can't write code like
\par Example:
\code
tvmet::Vector<double, 3> v1(1,2,3); // OK
tvmet::Vector<double, 3> v2 = v1; // not possible
\endcode
The operator= function assigns an expression to the Vector which means that
the object must be constructed before you may assign something to it. The
solution is to write this as:
\par Example:
\code
using namespace tvmet;
Vector<double, 3> v1(1,2,3);
Vector<double, 3> v2; // construct the Vector<T,Sz> object at first
v2 = v1; // ... and assign the contents of v1 to v2
Vector<double, 3> v3(v1); // ... or simple use the copy constructor
std::cout << v3 << std::endl;
\endcode
since the object v2 needs to be constructed before the object's operator=()
can be called.
The same rule applies to the Matrix class. You can only assign vectors and
matrices of the same dimension or you will get a compile error. This also
applies to the argument list for the constructor of the classes.
Initializing can be done as shown above or by using a comma separated list:
\par Example:
\code
using namespace tvmet;
Matrix<double, 3, 2> m1; // yes, non-square matrices are possible as well
m1 = 1, 4,
2, 5,
3, 6;
\endcode
Matrix element initialization always performed column wise! If the length
of the comma separated list is longer than the storage size, you will get
a compile time error. (tvmet is designed to prevent this -- it will prevent
you from accidentally overwriting memory which does not belong to the
matrix you are initializing.) You can use a comma separated list to
initialize vectors as well.
If you want a clean (zero-valued) vector or matrix you can simple write:
\par Example:
\code
using namespace tvmet;
Vector<double, 3> v4(0);
Matrix<double, 3, 4> m2(0);
\endcode
All elements of v4 and m2 are initialized with zero (or whatever value you
provide at construction time). Keep in mind that the uninitialized %Matrix
and %Vector classes will have random data when the are created (since they
use a static array for internal storage) unless you initialize them!
Another way to initialize a vector or matrix follows:
\par Example:
\code
using namespace tvmet;
Vector<double, 3> v5(1,2,3);
Vector<double, 3> v6(v5);
Vector<double, 3> v7(v5+v6);
\endcode
This is useful for temporary results. The result will be immediately
assigned to the new vector elements using the expression passed to the
constructor.
Yet another way of initializing a vector or matrix is similar to the above.
We assign an expression to it:
\par Example:
\code
using namespace tvmet;
Matrix<double, 3, 3> m3, m4, m5;
m3 = 1, 2, 3,
4, 5, 6,
7, 8, 9;
m4 = m3;
m5 = m3 + m4;
\endcode
If you have your data inside arrays you can use tvmet's iterator interface
to initialize a vector or matrix with it:
\par Example:
\code
T data[] = { 1,4,7,
2,5,8,
3,6,9 };
int sz = sizeof(data)/sizeof(T);
T* first = data;
T* last = data + sz;
tvmet::Matrix<double, 3, 3> m(first, last);
\endcode
The data will be copied into the matrix itself. When the constructor has
finished, there will be no stored reference to the array pointer.
Starting with tvmet release 1.6.0 you can create an identity matrix
simply by using the function identity(). Note, we have to specify the
matrix type, since ADL can't work here.
\par Example:
\code
typedef Matrix<double,3,3> matrix_type;
...
matrix_type E( identity<matrix_type>() );
\endcode
\section c_arrays Use of C style Arrays with tvmet
Sometimes you have some data arranged in a C style array for matrices
and vectors. As with tvmet release 1.6.0 you can wrap an expression
around using the functions vector_ref(const T* mem) and
matrix_ref(const T* mem) where mem is the pointer to the C array.
The returned expressions (XprVector or XprMatrix) can be used
as usual like tvmet's vectors and matrices. This means, you
can use all mathematical functions on it.
\par Example:
\code
static float lhs[3][3] = {
{-1, 0, 1}, { 1, 0, 1}, {-1, 0, -1}
};
static float rhs[3][3] = {
{ 0, 1, 1}, { 0, 1, -1}, { 0, -1, 1}
};
...
typedef Matrix<float, 3, 3> matrix_type;
matrix_type M( prod(matrix_ref<float, 3, 3>(&lhs[0][0]),
matrix_ref<float, 3, 3>(&rhs[0][0])) );
\endcode
This allows to initialize tvmet's vectors and matrices by
an alternative way as described at \ref construct.
\section compare Compare Vectors and Matrices
If you expect to find global comparison operators for comparing Vectors
and Matrices, you are right -- these are provided. But, the return
value probably isn't what you expect: a boolean value. Instead, the operator
returns an expression (e.g. XprVector<>). The contents of this expression
type is a element wise logical operation (depends on the given operator
like ==, <, >, etc...)! To get a boolean value you need to evaluate the
expression using all_elements() or any_elements(), as follows:
\par Example:
\code
using namespace tvmet;
using namespace std;
Vector<double, 3> v1, v2, bv;
v1 = 1,2,3;
v2 = 1,3,3;
bv = v1 == v2;
cout << bv << endl;
cout << "v1 == v2 is "
<< ( all_elements( v1 == v2 ) ? "true" : "false" )
<< endl;
\endcode
This gives
\par [continued]
\code
Vector<d, 3>[1, 0, 1]
v1 == v2 is false
\endcode
The reason for this is the element wise operation on all elements (for both
Vectors and Matrices). Comparing two vectors will result in a "boolean Vector"
expression. Using all_elements/any_elements evaluates the result into a
single boolean by repeatedly applying the comparison for each element.
An other example on comparing is shown below:
\par Example:
\code
if(all_elements(X == Y)) { cout << "matrices are identical" << endl; }
if(any_elements(X == Y)) { cout << "at least one element is equal" << endl; }
if(any_elements(X != Y)) { cout << "not all elements are equal" << endl; }
\endcode
%tvmet prior release 1.2.1 did have a boolean version eval for comparing.
The functional and semantic meaning were not clear at all. Therefore I
decided to remove it.
\sa \ref operators
\section pod Data Types like std::complex<>
As we can see above we can use POD (plain old data) types like <tt>double</tt> and
<tt>int</tt> as data type of a %Vector or %Matrix. However, we are not limited to
this - we can use e.g. <tt>std::complex<></tt> as well:
\par Example:
\code
using namespace tvmet;
Vector<std::complex<double>,3> v1, v2;
Matrix<std::complex<double>,3,3> m1;
\endcode
And operate on these...
\par [continued]
\code
v1 = 1,2,3;
m1 = 1,4,7,
2,5,8,
3,6,9;
v2 = m1 * v1;
\endcode
Be careful. <tt>std::complex<></tt> isn't tested well on regression tests.
\section stl STL support
Since version 0.2.0 %tvmet has supported an iterator interface conform to
the STL and since version 0.5.0 reverse STL iterators have been supported,
too.
With these, you can mix the %tvmet Vector and Matrix containers with the
STL algorithms.
For example, if you don't like %tvmet's ostream operator, you can create
your own implementation like this:
\par Example:
\code
tvmet::Vector<double, 6> v(1,2,3,4,5,6);
std::cout << v << std::endl;
std::cout << "The Vector is:" << std::endl;
std::copy(v.begin(), v.end(), std::ostream_iterator<double>(std::cout, "\n"));
\endcode
Or, you create a random matrix and print it as shown here:
\par Example:
\code
tvmet::Matrix<double,6,6> m;
std::generate(m.begin(), m.end(), rand);
std::cout << m << std::endl;
\endcode
\section matrix_access Matrix access by rows and columns
If you need a specific row or column of a given matrix you can get access to
it by using the functions row and col. They will return an XprVector<T>.
Unfortunately, you do not get any write access to the vector elements - only
reading is permitted due to the expression template concept used here. For
write access, you have to use matrix indexing with the parentheses operator.
\par Example:
\code
using namespace tvmet;
typedef Matrix<double 5, 3> matrix_type;
typedef Vector<double, 5> matrix_rowvector;
typedef Vector<double, 3> matrix_colvector;
matrix_type M;
M = ....
matrix_rowvector row2 = row(M, 2);
matrix_colvector col3 = col(M, 3);
...
\endcode
\section expr_print Expression printing
Expression printing is a nice feature for debugging expressions. (For more
about expression templates and expression tree please have a look
<a href=http://extreme.indiana.edu/~tveldhui/papers/Expression-Templates/exprtmpl.html>here</a>).
You can write out a simple matrix-vector multiplication of a vector
<tt>v1</tt> and a matrix <tt>m1</tt> of the dimension of 3 as follows:
\par Example:
\code
std::cout << m1 * v1 << std::endl;
\endcode
which will be expanded to:
\par [continued]
\code
XprVector<
XprMVProduct<
d, 3, 3, 3, 1, d, 1
>
3
>
\endcode
The "d" is a g++ placeholder for double. (This may vary from compiler to
compiler since it is an implementation detail of runtime type information
[rtti] determined by the compiler's manufacturer). The purpose of this
feature is to check the right evaluation of expressions into the tree on
complicated mathematical expressions.
A rich source of examples are the regression tests. They show all of the
supported operations and functions (if there is a regression test for this
of course). Some examples are in the examples directory.
*/
// Local Variables:
// mode:c++
// End:

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/*
* $Id: works.dox,v 1.5 2005/03/09 12:33:00 opetzold Exp $
*/
/**
\page works Future works
A good library is never complete. Here are some points which I hope to cover
in the future:
-# more regression tests (bit operations are missing, not all functions and type
promotion are tested) and examples (temporary the regression test can act
as examples). The problems with the regression tests actually used is,
that they does not follow mathematical, strong logical guide lines to cover all
possible cases.
-# write more examples, the regression test should not act as examples.
-# better support for std::complex type.
-# add functions like
- matrix inverse using LUdecomposition and other matrix vector functions
- meta functions for sin, cos etc.
-# System V math support on linux seems to be incomplete
-# better compiler support
-# Interface to other numerical libraries as uBlas, BLAS, and LAPACK.
Maybe, there will be a tvmet2. Some of the features mentioned above will
require a redesign of tvmet. With this new design tvmet can better handle
special matrices, like banded, symmetric or triangular matrices etc.
Furthermore, sparse tiny vectors and matrices are easy to implement, as well
as an allocator concept for re-sizable containers.
The priority depends on the \ref projects as well as the support from the
community - please support %tvmet.
*/
// Local Variables:
// mode:c++
// End:

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# $Id: Makefile.am,v 1.12 2004/04/28 21:59:40 opetzold Exp $
AM_CXXFLAGS = -I$(top_srcdir)/include -I$(top_builddir)/include
EXTRA_PROGRAMS = \
xpr_print_v1 \
xpr_print_v2 \
xpr_print_v3 \
xpr_print_v4 \
xpr_print_m1 \
xpr_print_m2 \
xpr_print_m3 \
xpr_print_m4 \
xpr_print_mv1 \
xpr_print_mv2 \
mv \
mm \
cmv \
cmm \
matrix_col \
diag \
ray \
hspiess \
redwards \
frob_matrix_norm \
alias \
aliasing
DISTCLEANFILES = $(EXTRA_PROGRAMS)
xpr_print_v1_SOURCES = xpr_print_v1.cc
xpr_print_v2_SOURCES = xpr_print_v2.cc
xpr_print_v3_SOURCES = xpr_print_v3.cc
xpr_print_v4_SOURCES = xpr_print_v4.cc
xpr_print_m1_SOURCES = xpr_print_m1.cc
xpr_print_m2_SOURCES = xpr_print_m2.cc
xpr_print_m3_SOURCES = xpr_print_m3.cc
xpr_print_m4_SOURCES = xpr_print_m4.cc
xpr_print_mv1_SOURCES = xpr_print_mv1.cc
xpr_print_mv2_SOURCES = xpr_print_mv2.cc
mv_SOURCES = mv.cc
mm_SOURCES = mm.cc
cmv_SOURCES = cmv.cc
cmm_SOURCES = cmm.cc
matrix_col_SOURCES = matrix_col.cc
diag_SOURCES = diag.cc
ray_SOURCES = ray.cc
redwards_SOURCES = redwards.cc
hspiess_SOURCES = hspiess.cc
frob_matrix_norm_SOURCES = frob_matrix_norm.cc
alias_SOURCES = alias.cc
aliasing_SOURCES = aliasing.cc
examples: $(EXTRA_PROGRAMS)

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# Makefile.in generated by automake 1.8.3 from Makefile.am.
# @configure_input@
# Copyright (C) 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002,
# 2003, 2004 Free Software Foundation, Inc.
# This Makefile.in is free software; the Free Software Foundation
# gives unlimited permission to copy and/or distribute it,
# with or without modifications, as long as this notice is preserved.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY, to the extent permitted by law; without
# even the implied warranty of MERCHANTABILITY or FITNESS FOR A
# PARTICULAR PURPOSE.
@SET_MAKE@
# $Id: Makefile.am,v 1.12 2004/04/28 21:59:40 opetzold Exp $
SOURCES = $(alias_SOURCES) $(aliasing_SOURCES) $(cmm_SOURCES) $(cmv_SOURCES) $(diag_SOURCES) $(frob_matrix_norm_SOURCES) $(hspiess_SOURCES) $(matrix_col_SOURCES) $(mm_SOURCES) $(mv_SOURCES) $(ray_SOURCES) $(redwards_SOURCES) $(xpr_print_m1_SOURCES) $(xpr_print_m2_SOURCES) $(xpr_print_m3_SOURCES) $(xpr_print_m4_SOURCES) $(xpr_print_mv1_SOURCES) $(xpr_print_mv2_SOURCES) $(xpr_print_v1_SOURCES) $(xpr_print_v2_SOURCES) $(xpr_print_v3_SOURCES) $(xpr_print_v4_SOURCES)
srcdir = @srcdir@
top_srcdir = @top_srcdir@
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@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/xpr_print_v1.Po@am__quote@
@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/xpr_print_v2.Po@am__quote@
@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/xpr_print_v3.Po@am__quote@
@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/xpr_print_v4.Po@am__quote@
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@am__fastdepCXX_TRUE@ if $(CXXCOMPILE) -MT $@ -MD -MP -MF "$(DEPDIR)/$*.Tpo" -c -o $@ $<; \
@am__fastdepCXX_TRUE@ then mv -f "$(DEPDIR)/$*.Tpo" "$(DEPDIR)/$*.Po"; else rm -f "$(DEPDIR)/$*.Tpo"; exit 1; fi
@AMDEP_TRUE@@am__fastdepCXX_FALSE@ source='$<' object='$@' libtool=no @AMDEPBACKSLASH@
@AMDEP_TRUE@@am__fastdepCXX_FALSE@ depfile='$(DEPDIR)/$*.Po' tmpdepfile='$(DEPDIR)/$*.TPo' @AMDEPBACKSLASH@
@AMDEP_TRUE@@am__fastdepCXX_FALSE@ $(CXXDEPMODE) $(depcomp) @AMDEPBACKSLASH@
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@am__fastdepCXX_TRUE@ then mv -f "$(DEPDIR)/$*.Tpo" "$(DEPDIR)/$*.Po"; else rm -f "$(DEPDIR)/$*.Tpo"; exit 1; fi
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@AMDEP_TRUE@@am__fastdepCXX_FALSE@ source='$<' object='$@' libtool=yes @AMDEPBACKSLASH@
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@AMDEP_TRUE@@am__fastdepCXX_FALSE@ $(CXXDEPMODE) $(depcomp) @AMDEPBACKSLASH@
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mostlyclean-libtool:
-rm -f *.lo
clean-libtool:
-rm -rf .libs _libs
distclean-libtool:
-rm -f libtool
uninstall-info-am:
ID: $(HEADERS) $(SOURCES) $(LISP) $(TAGS_FILES)
list='$(SOURCES) $(HEADERS) $(LISP) $(TAGS_FILES)'; \
unique=`for i in $$list; do \
if test -f "$$i"; then echo $$i; else echo $(srcdir)/$$i; fi; \
done | \
$(AWK) ' { files[$$0] = 1; } \
END { for (i in files) print i; }'`; \
mkid -fID $$unique
tags: TAGS
TAGS: $(HEADERS) $(SOURCES) $(TAGS_DEPENDENCIES) \
$(TAGS_FILES) $(LISP)
tags=; \
here=`pwd`; \
list='$(SOURCES) $(HEADERS) $(LISP) $(TAGS_FILES)'; \
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test -z "$(ETAGS_ARGS)$$tags$$unique" \
|| $(ETAGS) $(ETAGSFLAGS) $(AM_ETAGSFLAGS) $(ETAGS_ARGS) \
$$tags $$unique
ctags: CTAGS
CTAGS: $(HEADERS) $(SOURCES) $(TAGS_DEPENDENCIES) \
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tags=; \
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distdir: $(DISTFILES)
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if test -f $$file || test -d $$file; then d=.; else d=$(srcdir); fi; \
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if test "$$dir" != "$$file" && test "$$dir" != "."; then \
dir="/$$dir"; \
$(mkdir_p) "$(distdir)$$dir"; \
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dvi: dvi-am
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examples: $(EXTRA_PROGRAMS)
# Tell versions [3.59,3.63) of GNU make to not export all variables.
# Otherwise a system limit (for SysV at least) may be exceeded.
.NOEXPORT:

33
tvmet-1.7.1/examples/alias.cc
View File

@@ -1,33 +0,0 @@
/*
* $Id: alias.cc,v 1.1 2004/03/26 07:56:32 opetzold Exp $
*
* This example shows the solution of the problem with aliasing
* mentioned at
* http://tvmet.sourceforge.net/notes.html#alias
*/
#include <iostream>
#include <algorithm>
#include <tvmet/Matrix.h>
#include <tvmet/Vector.h>
#include <tvmet/util/Incrementor.h>
using namespace std;
int main()
{
typedef tvmet::Matrix<double, 3, 3> matrix_type;
matrix_type M;
std::generate(M.begin(), M.end(),
tvmet::util::Incrementor<matrix_type::value_type>());
std::cout << "M = " << M << std::endl;
alias(M) = M * trans(M);
std::cout << M << std::endl;
}

44
tvmet-1.7.1/examples/aliasing.cc
View File

@@ -1,44 +0,0 @@
/*
* $Id: aliasing.cc,v 1.2 2004/03/26 07:58:06 opetzold Exp $
*
* This example shows the problem with aliasing mentioned at
* http://tvmet.sourceforge.net/notes.html#alias
*/
#include <iostream>
#include <algorithm>
#include <tvmet/Matrix.h>
#include <tvmet/util/Incrementor.h>
using std::cout; using std::endl;
using namespace tvmet;
typedef Matrix<double,3,3> matrix_type;
int main()
{
matrix_type A, B;
matrix_type C;
std::generate(A.begin(), A.end(),
tvmet::util::Incrementor<matrix_type::value_type>());
std::generate(B.begin(), B.end(),
tvmet::util::Incrementor<matrix_type::value_type>());
cout << "A = " << A << endl;
cout << "B = " << B << endl;
// matrix prod without aliasing
C = A * B;
cout << "C = A * B = " << C << endl;
// work around for aliasing
matrix_type temp_A(A);
A = temp_A * B;
cout << "matrix_type temp_A(A);\n"
<< "A = temp_A * B = " << A << endl;
// this shows the aliasing problem
A = A * B;
cout << "A = A * B = " << A << endl;
}

29
tvmet-1.7.1/examples/cmm.cc
View File

@@ -1,29 +0,0 @@
#include <iostream>
#include <complex>
#include <tvmet/Matrix.h>
using namespace tvmet;
using std::cout;
using std::endl;
typedef Matrix<std::complex<double>,3,3> matrix33d;
void testMM(matrix33d& res, const matrix33d& m1, const matrix33d& m2) {
res = m1 * m2;
}
int main()
{
matrix33d m1, m2, m3;
m1 = 1,4,7,
2,5,8,
3,6,9;
m2 = m1;
testMM(m3, m1, m2);
cout << m1 << "\n*\n" << m2 << "\n=";
cout << m3 << endl;
}

36
tvmet-1.7.1/examples/cmv.cc
View File

@@ -1,36 +0,0 @@
#include <iostream>
#include <complex>
#include <tvmet/Matrix.h>
#include <tvmet/Vector.h>
using namespace tvmet;
using std::cout;
using std::endl;
typedef Vector<std::complex<double>,3> vector3d;
typedef Matrix<std::complex<double>,3,3> matrix33d;
#if (defined __ICC )
#pragma warning(disable:1418) // external definition with no prior declaration
#endif
void testMV(vector3d& res, const matrix33d& m, const vector3d& v) {
res = m * v;
}
int main()
{
vector3d v1, vr;
matrix33d m1;
v1 = 1,2,3;
m1 = 1,4,7,
2,5,8,
3,6,9;
testMV(vr, m1, v1);
cout << m1 << " * " << v1 << " =\n";
cout << vr << endl;
}

32
tvmet-1.7.1/examples/diag.cc
View File

@@ -1,32 +0,0 @@
/* Version: $Id: diag.cc,v 1.1 2003/02/12 19:03:48 opetzold Exp $ */
#include <iostream>
#include <tvmet/Matrix.h>
#include <tvmet/Vector.h>
using namespace std;
using namespace tvmet;
typedef Matrix<double,3,3> matrix33d;
typedef Vector<double,3> vector3d;
int main()
{
matrix33d m1, m2(0);
vector3d v1, v2;
m1 = 1,4,7,
2,5,8,
3,6,9;
v1 = diag(m1);
// not yet, since we need to assign an expression/scalar to an expression
// diag(m2) = 1.0;
cout << "M1 = " << m1 << endl;
cout << "diag(M1) = " << v1 << endl;
cout << "identity(M2) = " << m2 << endl;
}

191
tvmet-1.7.1/examples/frob_matrix_norm.cc
View File

@@ -1,191 +0,0 @@
/*
* Tiny Vector Matrix Library
* Dense Vector Matrix Libary of Tiny size using Expression Templates
*
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: frob_matrix_norm.cc,v 1.3 2003/11/30 08:26:25 opetzold Exp $
*/
#include <iostream>
#include <tvmet/Matrix.h>
#include <tvmet/xpr/Vector.h>
using namespace std;
template<class T, int Rows, int Cols>
double
frob_norm(const tvmet::Matrix<T, Rows, Cols>& M) {
return std::sqrt(M(0,0)*M(0,0) + M(1,0)*M(1,0) + M(2,0)*M(2,0)
+ M(0,1)*M(0,1) + M(1,1)*M(1,1) + M(2,1)*M(2,1)
+ M(0,2)*M(0,2) + M(1,2)*M(1,2) + M(2,2)*M(2,2));
}
namespace tvmet {
template<class T, int Rows, int Cols>
typename Traits<T>::float_type
norm(const Matrix<T, Rows, Cols>& M) {
return std::sqrt( sum( diag( MtM_prod(M,M) ) ) );
}
}
int main()
{
typedef tvmet::Matrix<double,3,3> matrix_type;
matrix_type M;
M = 1,2,3,4,5,6,7,8,9;
cout << M << endl;
cout << "handopt norm = " << frob_norm(M) << endl;
cout << "tvmet::norm = " << tvmet::norm(M) << endl;
}
/*
gcc 3.3 produce for the hand optimized frob_norm:
_Z9frob_normIdLj3ELj3EEdRKN5tvmet6MatrixIT_XT0_EXT1_EEE:
.LFB3210:
pushl %ebp
.LCFI6:
movl %esp, %ebp
.LCFI7:
subl $8, %esp
.LCFI8:
movl 8(%ebp), %eax
fldl (%eax)
fldl 24(%eax)
fxch %st(1)
fmul %st(0), %st
fxch %st(1)
fmul %st(0), %st
faddp %st, %st(1)
fldl 48(%eax)
fmul %st(0), %st
faddp %st, %st(1)
fldl 8(%eax)
fmul %st(0), %st
faddp %st, %st(1)
fldl 32(%eax)
fmul %st(0), %st
faddp %st, %st(1)
fldl 56(%eax)
fmul %st(0), %st
faddp %st, %st(1)
fldl 16(%eax)
fmul %st(0), %st
faddp %st, %st(1)
fldl 40(%eax)
fmul %st(0), %st
faddp %st, %st(1)
fldl 64(%eax)
fmul %st(0), %st
faddp %st, %st(1)
fld %st(0)
fsqrt
fucom %st(0)
fnstsw %ax
sahf
jp .L189
jne .L189
fstp %st(1)
.L186:
leave
ret
*/
/*
gcc 3.3 produce the norm function using tvmet 1.3.0:
_ZN5tvmet4normIdLj3ELj3EEENS_13TraitsIT_E10float_typeERKNS_6MatrixIS2_XT0_EXT1_EEE:
.LFB3252:
.L194:
.L198:
.L203:
.L207:
.L212:
.L225:
.L238:
.L251:
pushl %ebp
.LCFI9:
movl %esp, %ebp
.LCFI10:
subl $56, %esp
.LCFI11:
movl 8(%ebp), %edx
leal -24(%ebp), %eax
movl %eax, -12(%ebp)
leal -12(%ebp), %eax
fldl 24(%edx)
fldl 48(%edx)
fldl (%edx)
fxch %st(2)
fmul %st(0), %st
fxch %st(1)
movl %eax, -28(%ebp)
fmul %st(0), %st
fxch %st(2)
movl %edx, -24(%ebp)
movl %edx, -20(%ebp)
fmul %st(0), %st
fldl 8(%edx)
fxch %st(2)
faddp %st, %st(3)
fldl 56(%edx)
fxch %st(2)
fmul %st(0), %st
fxch %st(1)
faddp %st, %st(3)
fldl 32(%edx)
fxch %st(2)
fmul %st(0), %st
fxch %st(2)
fmul %st(0), %st
fldl 16(%edx)
fxch %st(1)
faddp %st, %st(3)
fmul %st(0), %st
fldl 64(%edx)
fxch %st(2)
faddp %st, %st(3)
fldl 40(%edx)
fxch %st(2)
fmul %st(0), %st
fxch %st(2)
fmul %st(0), %st
faddp %st, %st(2)
faddp %st, %st(1)
faddp %st, %st(1)
faddp %st, %st(1)
fld %st(0)
fsqrt
fucom %st(0)
fnstsw %ax
sahf
jp .L265
jne .L265
fstp %st(1)
.L261:
fstpl -8(%ebp)
fldl -8(%ebp)
leave
ret
*/

37
tvmet-1.7.1/examples/hspiess.cc
View File

@@ -1,37 +0,0 @@
#include <iostream>
#include <tvmet/Matrix.h>
using namespace std;
int main()
{
tvmet::Matrix<double,3,2> B;
tvmet::Matrix<double,3,3> D;
B =
-0.05, 0,
0, 0.05,
0.05, -0.05;
D =
2000, 1000, 0,
1000, 2000, 0,
0, 0, 500;
cout << "B = " << B << endl;
cout << "D = " << D << endl;
{
tvmet::Matrix<double,2,2> K;
K = trans(B) * D * B;
cout << "K = " << K << endl;
}
{
tvmet::Matrix<double,2,2> K;
K = tvmet::Matrix<double,2,3>(trans(B) * D) * B;
cout << "K = " << K << endl;
}
}

44
tvmet-1.7.1/examples/matrix_col.cc
View File

@@ -1,44 +0,0 @@
#include <iostream>
#include <iomanip>
#include <algorithm>
#include <cstdlib>
#include <tvmet/Matrix.h>
#include <tvmet/Vector.h>
using namespace std;
using namespace tvmet;
typedef Vector<double,3> vector3d;
typedef Matrix<double,3,3> matrix33d;
int main()
{
matrix33d m1;
std::generate(m1.begin(), m1.end(), std::rand);
vector3d vc0( col(m1, 0) );
vector3d vc1( col(m1, 1) );
vector3d vc2( col(m1, 2) );
vector3d vr0( row(m1, 0) );
vector3d vr1( row(m1, 1) );
vector3d vr2( row(m1, 2) );
cout << std::setw(12) << m1 << endl;
cout << "col vectors:" << endl;
cout << vc0 << endl;
cout << vc1 << endl;
cout << vc2 << endl;
cout << "row vectors:" << endl;
cout << vr0 << endl;
cout << vr1 << endl;
cout << vr2 << endl;
}

30
tvmet-1.7.1/examples/mm.cc
View File

@@ -1,30 +0,0 @@
#include <iostream>
#include <tvmet/Matrix.h>
using namespace std;
using namespace tvmet;
typedef Matrix<double,3,3> matrix33d;
#if (defined __ICC )
#pragma warning(disable:1418) // external definition with no prior declaration
#endif
void testMM(matrix33d& res, const matrix33d& m1, const matrix33d& m2) {
res = m1 * m2;
}
int main()
{
matrix33d m1, m2, m3;
m1 = 1,4,7,
2,5,8,
3,6,9;
m2 = m1;
testMM(m3, m1, m2);
cout << m1 << "\n*\n" << m2 << "\n=";
cout << m3 << endl;
}

36
tvmet-1.7.1/examples/mv.cc
View File

@@ -1,36 +0,0 @@
#include <iostream>
#include <iomanip>
#include <algorithm>
#include <cstdlib>
#include <tvmet/Matrix.h>
#include <tvmet/Vector.h>
using namespace std;
using namespace tvmet;
typedef Vector<double,3> vector3d;
typedef Matrix<double,3,3> matrix33d;
#if (defined __ICC )
#pragma warning(disable:1418) // external definition with no prior declaration
#endif
void testMV(vector3d& res, const matrix33d& m, const vector3d& v) {
res = m * v;
}
int main()
{
vector3d v1, vr;
matrix33d m1;
std::generate(v1.begin(), v1.end(), std::rand);
std::generate(m1.begin(), m1.end(), std::rand);
testMV(vr, m1, v1);
cout << std::setw(12) << m1 << " * " << std::setw(12) << v1 << " =\n";
cout << std::setw(12) << vr << endl;
}

103
tvmet-1.7.1/examples/ray.cc
View File

@@ -1,103 +0,0 @@
#include <iostream>
#include <cmath>
#include <tvmet/Vector.h>
using namespace std;
using namespace tvmet;
typedef Vector<double,3> vector3d;
void reflect(vector3d& reflection, const vector3d& ray, const vector3d& surfaceNormal)
{
// The surface normal must be unit length to use this equation.
reflection = ray - 2 * dot(ray,surfaceNormal) * surfaceNormal;
// expression printing
// cout << (ray - 2 * dot(ray,surfaceNormal) * surfaceNormal) << endl;
}
int main()
{
vector3d x, y, z;
// y will be the incident ray
y[0] = 1;
y[1] = 0;
y[2] = -1;
// z is the surface normal
z[0] = 0;
z[1] = 0;
z[2] = 1;
reflect(x, y, z);
cout << "Reflected ray is: [ " << x[0] << " " << x[1] << " " << x[2]
<< " ]" << endl;
}
/*****************************************************************************************
gcc 3.2.0 produce this code (i586) using tvmet 1.3.0:
_Z7reflectRN5tvmet6VectorIdLj3EEERKS1_S4_:
.LFB2757:
.L8:
.L18:
.L22:
.L28:
.L32:
.L38:
.L44:
.L48:
pushl %ebp
.LCFI0:
movl %esp, %ebp
.LCFI1:
leal -32(%ebp), %eax
pushl %ebx
.LCFI2:
subl $52, %esp
.LCFI3:
movl 16(%ebp), %edx
movl %eax, -24(%ebp)
movl 12(%ebp), %ecx
leal -36(%ebp), %eax
movl %eax, -20(%ebp)
movl 8(%ebp), %ebx
leal -24(%ebp), %eax
fldl 8(%edx)
fldl 16(%edx)
fmull 16(%ecx)
fxch %st(1)
movl %eax, -12(%ebp)
leal -52(%ebp), %eax
fmull 8(%ecx)
movl %eax, -48(%ebp)
leal -12(%ebp), %eax
fldl (%edx)
fmull (%ecx)
fxch %st(1)
movl %eax, -44(%ebp)
faddp %st, %st(2)
faddp %st, %st(1)
fadd %st(0), %st
fld %st(0)
fstl -32(%ebp)
fxch %st(1)
fmull (%edx)
fsubrl (%ecx)
fstpl (%ebx)
fld %st(0)
fmull 8(%edx)
fsubrl 8(%ecx)
fstpl 8(%ebx)
fmull 16(%edx)
fsubrl 16(%ecx)
fstpl 16(%ebx)
addl $52, %esp
popl %ebx
popl %ebp
ret
*****************************************************************************************/

25
tvmet-1.7.1/examples/redwards.cc
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@@ -1,25 +0,0 @@
/*
* This is a reused case study used as example from Rusell Edwards.
* Works only with > release-1-2-0 due to a missed
* product/operator*(Matrix,XprVector) on releases prior.
* It shows a possible use of chained expressions.
*/
#include <iostream>
#include <tvmet/Matrix.h>
#include <tvmet/Vector.h>
using namespace std;
using namespace tvmet;
int main() {
Matrix<float,3,3> eigenvecs;
Matrix<float,3,3> M;
eigenvecs = 1,2,3,4,5,6,7,8,9;
M = 10,20,30,40,50,60,70,80,90;
Vector<float,3> ev0( M * col(eigenvecs, 0));
cout << "ev0 = " << ev0 << endl;
}

21
tvmet-1.7.1/examples/xpr_print_m1.cc
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@@ -1,21 +0,0 @@
#include <iostream>
#include <tvmet/Matrix.h>
using namespace std;
using namespace tvmet;
int main() {
// Matrix stuff I
Matrix<double,3,3> m1, m2, m3;
m1 = 1,2,3,
4,5,6,
7,8,9;
m2 = trans(m1);
cout << "Xpr Level printing of "
<< m1 << "\n*\n" << m2 <<"\nresults into:\n";
cout << m1*m2 << endl;
cout << "The result =\n";
m3 = m1*m2;
cout << m3 << endl << endl;
}

21
tvmet-1.7.1/examples/xpr_print_m2.cc
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@@ -1,21 +0,0 @@
#include <iostream>
#include <tvmet/Matrix.h>
using namespace std;
using namespace tvmet;
int main() {
// Matrix stuff II (unary functions)
Matrix<double,3,3> m1, m2, m3;
m1 = 1,2,3,
4,5,6,
7,8,9;
m2 = trans(m1);
cout << "Xpr Level printing of "
<< "sqrt(\n" << m1 <<"):\n";
cout << sqrt(m1) << endl;
cout << "The result = \n";
m3 = sqrt(m1);
cout << m3 << endl << endl;
}

21
tvmet-1.7.1/examples/xpr_print_m3.cc
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@@ -1,21 +0,0 @@
#include <iostream>
#include <tvmet/Matrix.h>
using namespace std;
using namespace tvmet;
int main() {
// Matrix stuff III (binary functions)
Matrix<double,3,3> m1, m2, m3;
m1 = 1,2,3,
4,5,6,
7,8,9;
m2 = trans(m1);
cout << "Xpr Level printing of "
<< "pow(\n" << m1 << ", " << m2 << "):\n";
cout << pow(m1, m2) << endl;
cout << "The result = \n";
m3 = pow(m1, m2);
cout << m3 << endl << endl;
}

21
tvmet-1.7.1/examples/xpr_print_m4.cc
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@@ -1,21 +0,0 @@
#include <iostream>
#include <tvmet/Matrix.h>
using namespace std;
using namespace tvmet;
int main() {
// Matrix stuff IV (binary functions with pod)
Matrix<double,3,3> m1, m2, m3;
m1 = 1,2,3,
4,5,6,
7,8,9;
m2 = trans(m1);
cout << "Xpr Level printing of "
<< "pow(\n" << m1 << ", " << 3 << "):\n";
cout << pow(m1, 3) << endl;
cout << "The result = \n";
m3 = pow(m1, 3);
cout << m3 << endl << endl;
}

26
tvmet-1.7.1/examples/xpr_print_mv1.cc
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@@ -1,26 +0,0 @@
#include <iostream>
#include <tvmet/Vector.h>
#include <tvmet/Matrix.h>
using namespace std;
using namespace tvmet;
int main() {
// Matrix Vector stuff I
Vector<double,3> v1(1,2,3), v2(v1);
Vector<double,3> v3(0);
Matrix<double,3,3> m1, m2, m3;
m1 = 1,2,3,
4,5,6,
7,8,9;
m2 = trans(m1);
cout << "Xpr Level printing of "
<< m1 << "\n* " << v1 <<"\nresults into:\n";
cout << m1*v1 << endl;
cout << "The result =\n";
v3 = m1*v1;
cout << v3 << endl << endl;
}

26
tvmet-1.7.1/examples/xpr_print_mv2.cc
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@@ -1,26 +0,0 @@
#include <iostream>
#include <tvmet/Vector.h>
#include <tvmet/Matrix.h>
using namespace std;
using namespace tvmet;
int main() {
// Matrix Vector stuff II
Vector<double,3> v1(1,2,3), v2(v1);
Vector<double,3> v3(0);
Matrix<double,3,3> m1, m2, m3;
m1 = 1,2,3,
4,5,6,
7,8,9;
m2 = trans(m1);
cout << "Xpr Level printing of "
<< "sqrt(\n" << m1 << "\n* " << v1 << ")\nresults into:\n";
cout << sqrt(m1*v1) << endl;
cout << "The result =\n";
v3 = sqrt(m1*v1);
cout << v3 << endl << endl;
}

19
tvmet-1.7.1/examples/xpr_print_v1.cc
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@@ -1,19 +0,0 @@
#include <iostream>
#include <tvmet/Vector.h>
using namespace std;
using namespace tvmet;
int main() {
// Vector stuff I
Vector<double,3> v1(1,2,3), v2(v1);
Vector<double,3> v3(0);
cout << "Xpr Level printing of "
<< v1 << " * " << v2 <<":\n";
cout << v1*v2 << endl;
cout << "The result = \n";
v3 = v1*v2;
cout << v3 << endl << endl;
}

19
tvmet-1.7.1/examples/xpr_print_v2.cc
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@@ -1,19 +0,0 @@
#include <iostream>
#include <tvmet/Vector.h>
using namespace std;
using namespace tvmet;
int main() {
// Vector stuff II (unary functions)
Vector<double,3> v1(1,2,3), v2(v1);
Vector<double,3> v3(0);
cout << "Xpr Level printing of "
<< "sqrt(" << v1 <<"):\n";
cout << sqrt(v1) << endl;
cout << "The result = \n";
v3 = sqrt(v1);
cout << v3 << endl << endl;
}

19
tvmet-1.7.1/examples/xpr_print_v3.cc
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@@ -1,19 +0,0 @@
#include <iostream>
#include <tvmet/Vector.h>
using namespace std;
using namespace tvmet;
int main() {
// Vector stuff III (binary functions)
Vector<double,3> v1(1,2,3), v2(v1);
Vector<double,3> v3(0);
cout << "Xpr Level printing of "
<< "pow(" << v1 << ", " << v2 << "):\n";
cout << pow(v1, v2) << endl;
cout << "The result = \n";
v3 = pow(v1, v2);
cout << v3 << endl << endl;
}

19
tvmet-1.7.1/examples/xpr_print_v4.cc
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@@ -1,19 +0,0 @@
#include <iostream>
#include <tvmet/Vector.h>
using namespace std;
using namespace tvmet;
int main() {
// Vector stuff IV (binary functions with pod)
Vector<double,3> v1(1,2,3), v2(v1);
Vector<double,3> v3(0);
cout << "Xpr Level printing of "
<< "pow(" << v1 << ", " << 3 << "):\n";
cout << pow(v1, 3) << endl;
cout << "The result = \n";
v3 = pow(v1, 3);
cout << v3 << endl << endl;
}

1
tvmet-1.7.1/include/CMakeLists.txt
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@@ -1 +0,0 @@
ADD_SUBDIRECTORY(tvmet)

127
tvmet-1.7.1/include/tvmet/AliasProxy.h
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@@ -1,127 +0,0 @@
/*
* Tiny Vector Matrix Library
* Dense Vector Matrix Libary of Tiny size using Expression Templates
*
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: AliasProxy.h,v 1.4 2004/06/10 16:36:55 opetzold Exp $
*/
#ifndef TVMET_ALIAS_PROXY_H
#define TVMET_ALIAS_PROXY_H
namespace tvmet {
/** forwards */
template<class E> class AliasProxy;
/**
* \brief Simplify syntax for alias Matrices and Vectors,
* where aliasing left hand values appear in the
* expression.
* \par Example:
* \code
* typedef tvmet::Matrix<double, 10, 10> matrix_type;
* matrix_type m;
* ...
* alias(m) += trans(m);
* \endcode
* \sa AliasProxy
* \sa Some Notes \ref alias
*/
template<class E>
AliasProxy<E> alias(E& expr) { return AliasProxy<E>(expr); }
/**
* \class AliasProxy AliasProxy.h "tvmet/AliasProxy.h"
* \brief Assign proxy for alias Matrices and Vectors.
*
* A short lived object to provide simplified alias syntax.
* Only the friend function alias is allowed to create
* such a object. The proxy calls the appropriate member
* alias_xyz() which have to use temporaries to avoid
* overlapping memory regions.
* \sa alias
* \sa Some Notes \ref alias
* \note Thanks to ublas-dev group, where the principle idea
* comes from.
*/
template<class E>
class AliasProxy
{
AliasProxy(const AliasProxy&);
AliasProxy& operator=(const AliasProxy&);
friend AliasProxy<E> alias<>(E& expr);
public:
AliasProxy(E& expr) : m_expr(expr) { }
template<class E2>
E& operator=(const E2& expr) {
return m_expr.alias_assign(expr);
}
template<class E2>
E& operator+=(const E2& expr) {
return m_expr.alias_add_eq(expr);
}
template<class E2>
E& operator-=(const E2& expr) {
return m_expr.alias_sub_eq(expr);
}
template<class E2>
E& operator*=(const E2& expr) {
return m_expr.alias_mul_eq(expr);
}
template<class E2>
E& operator/=(const E2& expr) {
return m_expr.alias_div_eq(expr);
}
private:
E& m_expr;
};
#if 0
namespace element_wise {
// \todo to write
template<class E, class E2>
E& operator/=(AliasProxy<E>& proxy, const E2& rhs) {
return proxy.div_upd(rhs);
}
}
#endif
} // namespace tvmet
#endif /* TVMET_ALIAS_PROXY_H */
// Local Variables:
// mode:C++
// End:

178
tvmet-1.7.1/include/tvmet/BinaryFunctionals.h
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@@ -1,178 +0,0 @@
/*
* Tiny Vector Matrix Library
* Dense Vector Matrix Libary of Tiny size using Expression Templates
*
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: BinaryFunctionals.h,v 1.19 2004/10/04 11:40:46 opetzold Exp $
*/
#ifndef TVMET_BINARY_FUNCTIONAL_H
#define TVMET_BINARY_FUNCTIONAL_H
namespace tvmet {
/**
* \class Fcnl_assign BinaryFunctionals.h "tvmet/BinaryFunctionals.h"
* \brief Binary operator for assign operations.
*
* Unfortunally we have sometimes to cast on assign operations e.g.,
* on assign on different POD. So we avoid warnings.
*/
template <class T1, class T2>
struct Fcnl_assign : public BinaryFunctional {
static inline
void apply_on(T1& _tvmet_restrict lhs, T2 rhs) {
lhs = static_cast<T1>(rhs);
}
static
void print_xpr(std::ostream& os, int l=0) {
os << IndentLevel(l) << "fcnl_assign<T1="
<< typeid(T1).name() << ", T2=" << typeid(T2).name() << ">,"
<< std::endl;
}
};
/** \class Fcnl_add_eq BinaryFunctionals.h "tvmet/BinaryFunctionals.h" */
/** \class Fcnl_sub_eq BinaryFunctionals.h "tvmet/BinaryFunctionals.h" */
/** \class Fcnl_mul_eq BinaryFunctionals.h "tvmet/BinaryFunctionals.h" */
/** \class Fcnl_div_eq BinaryFunctionals.h "tvmet/BinaryFunctionals.h" */
#define TVMET_IMPLEMENT_MACRO(NAME, OP) \
template <class T1, class T2> \
struct Fcnl_##NAME : public BinaryFunctional { \
typedef void value_type; \
\
static inline \
void apply_on(T1& _tvmet_restrict lhs, T2 rhs) { \
lhs OP rhs; \
} \
\
static \
void print_xpr(std::ostream& os, int l=0) { \
os << IndentLevel(l) \
<< "Fcnl_" << #NAME << "<T1=" \
<< typeid(T1).name() << ", T2=" << typeid(T2).name() << ">," \
<< std::endl; \
} \
};
TVMET_IMPLEMENT_MACRO(add_eq, +=)
TVMET_IMPLEMENT_MACRO(sub_eq, -=)
TVMET_IMPLEMENT_MACRO(mul_eq, *=)
TVMET_IMPLEMENT_MACRO(div_eq, /=)
#undef TVMET_IMPLEMENT_MACRO
/** \class Fcnl_add BinaryFunctionals.h "tvmet/BinaryFunctionals.h" */
/** \class Fcnl_sub BinaryFunctionals.h "tvmet/BinaryFunctionals.h" */
/** \class Fcnl_mul BinaryFunctionals.h "tvmet/BinaryFunctionals.h" */
/** \class Fcnl_div BinaryFunctionals.h "tvmet/BinaryFunctionals.h" */
#define TVMET_IMPLEMENT_MACRO(NAME, OP) \
template <class T1, class T2> \
struct Fcnl_##NAME : public BinaryFunctional { \
typedef typename PromoteTraits<T1, T2>::value_type value_type; \
\
static inline \
value_type apply_on(T1 lhs, T2 rhs) { \
return lhs OP rhs; \
} \
\
static \
void print_xpr(std::ostream& os, int l=0) { \
os << IndentLevel(l) \
<< "Fcnl_" << #NAME << "<T1=" \
<< typeid(T1).name() << ", T2=" << typeid(T2).name() << ">," \
<< std::endl; \
} \
};
TVMET_IMPLEMENT_MACRO(add, +)
TVMET_IMPLEMENT_MACRO(sub, -)
TVMET_IMPLEMENT_MACRO(mul, *)
TVMET_IMPLEMENT_MACRO(div, /)
#undef TVMET_IMPLEMENT_MACRO
#if defined(EIGEN_USE_COMPLEX)
/**
* \class Fcnl_polar BinaryFunctionals.h "tvmet/BinaryFunctionals.h"
* \brief %Functional for polar.
*/
template <class T1, class T2> struct Fcnl_polar : public BinaryFunctional { };
/**
* \class Fcnl_polar<T,T> BinaryFunctionals.h "tvmet/BinaryFunctionals.h"
* \brief %Functional for polar.
* \note This functional is partialy specialized due to the declaration
* of %polar in namespace std <tt>complex<T> polar(T, T)</tt>.
* This means especially that type promotion isn't avaible here.
*/
template <class T>
struct Fcnl_polar<T,T> : public BinaryFunctional {
typedef std::complex<T> value_type;
static inline
value_type apply_on(T lhs, T rhs) {
return std::polar(lhs, rhs);
}
static
void print_xpr(std::ostream& os, int l=0) {
os << IndentLevel(l) << "Fcnl_polar<T1="
<< typeid(T).name() << ", T2=" << typeid(T).name() << ">,"
<< std::endl;
}
};
#endif // defined(EIGEN_USE_COMPLEX)
/**
* \class Fcnl_swap BinaryFunctionals.h "tvmet/BinaryFunctionals.h"
* \brief Binary operator for swapping values using temporaries.
* \todo check for std::swap implementation; todo before LUdecomp
*/
template <class T1, class T2>
struct Fcnl_swap : public BinaryFunctional {
static inline
void apply_on(T1& _tvmet_restrict lhs, T2& _tvmet_restrict rhs) {
typedef typename PromoteTraits<T1, T2>::value_type temp_type;
temp_type temp(lhs);
lhs = static_cast<T1>(rhs);
rhs = static_cast<T2>(temp);
}
static
void print_xpr(std::ostream& os, int l=0) {
os << IndentLevel(l) << "Fcnl_swap<T1="
<< typeid(T1).name() << ", T2" << typeid(T2).name() << ">,"
<< std::endl;
}
};
} // namespace tvmet
#endif // TVMET_BINARY_FUNCTIONAL_H
// Local Variables:
// mode:C++
// End:

30
tvmet-1.7.1/include/tvmet/CMakeLists.txt
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@@ -1,30 +0,0 @@
INCLUDE (CheckIncludeFiles)
INCLUDE (CheckRestrictKeyword)
INCLUDE (CheckAlwaysInline)
FILE(GLOB tvmet_header_SRCS "*.h")
CHECK_INCLUDE_FILES (sys/time.h TVMET_HAVE_SYS_TIME_H)
CHECK_INCLUDE_FILES (unistd.h TVMET_HAVE_UNISTD_H)
CHECK_RESTRICT_KEYWORD (TVMET_RESTRICT_KEYWORD)
CHECK_ALWAYS_INLINE (TVMET_ALWAYS_INLINE)
# the following are directories where stuff will be installed to
SET(INCLUDE_INSTALL_DIR
"${CMAKE_INSTALL_PREFIX}/include/tvmet"
CACHE PATH
"The subdirectory to the header prefix"
FORCE)
CONFIGURE_FILE(${CMAKE_CURRENT_SOURCE_DIR}/config.h.cmake
${INCLUDE_INSTALL_DIR}/config.h)
INSTALL(FILES
${tvmet_header_SRCS}
DESTINATION ${INCLUDE_INSTALL_DIR}
)
ADD_SUBDIRECTORY(loop)
ADD_SUBDIRECTORY(meta)
ADD_SUBDIRECTORY(xpr)
ADD_SUBDIRECTORY(util)

130
tvmet-1.7.1/include/tvmet/CommaInitializer.h
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@@ -1,130 +0,0 @@
/* This file is part of Eigen, a C++ template library for linear algebra
* Copyright (C) 2007 Benoit Jacob <jacob@math.jussieu.fr>
*
* Based on Tvmet source code, http://tvmet.sourceforge.net,
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: CommaInitializer.h,v 1.14 2005/03/02 12:14:22 opetzold Exp $
*/
#ifndef TVMET_COMMA_INITIALIZER_H
#define TVMET_COMMA_INITIALIZER_H
#include <tvmet/CompileTimeError.h>
namespace tvmet {
/**
* \class CommaInitializer CommaInitializer.h "tvmet/CommaInitializer.h"
* \brief Initialize classes using a comma separated lists.
*
* The comma operator is called when it appears next to an object of
* the type the comma is defined for. However, "operator," is not called
* for function argument lists, only for objects that are out in the open,
* separated by commas (Thinking C++
* <a href=http://www.ida.liu.se/~TDDA14/online/v1ticpp/Chapter12.html>
* Ch.12: Operator comma</a>).
*
* This implementation uses the same technique as described in Todd Veldhuizen
* Techniques for Scientific C++
* <a href=http://extreme.indiana.edu/~tveldhui/papers/techniques/techniques01.html#l43>
* chapter 1.11 Comma overloading</a>.
*
* The initializer list is avaible after instanciation of the object,
* therefore use it like:
* \code
* vector3d t;
* t = 1.0, 2.0, 3.0;
* \endcode
* It's evaluated to (((t = 1.0), 2.0), 3.0)
*
* For matrizes the initilization is done row wise.
*
* If the comma separted list of values longer then the size of the vector
* or matrix a compile time error will occour. Otherwise the pending values
* will be written random into the memory.
*
*/
template<typename Obj, int LEN>
class CommaInitializer
{
typedef typename Obj::value_type value_type;
/**
* \class Initializer
* \brief Helper fo recursive overloaded comma operator.
*/
template<int N> class Initializer
{
Initializer();
Initializer& operator=(const Initializer&);
public:
Initializer(Obj& obj, int index) : m_obj(obj), m_index(index) {}
/** Overloads the comma operator for recursive assign values from comma
separated list. */
Initializer<N+1> operator,(value_type rhs)
{
TVMET_CT_CONDITION(N < LEN, CommaInitializerList_is_too_long)
m_obj.commaWrite(m_index, rhs);
return Initializer<N+1>(m_obj, m_index+1);
}
private:
Obj& m_obj;
int m_index;
};
public:
CommaInitializer(const CommaInitializer& rhs)
: m_object(rhs.m_object),
m_data(rhs.m_data)
{}
/** Constructor used by Vector or Matrix operator(value_type rhs) */
CommaInitializer(Obj& obj, value_type x)
: m_object(obj),
m_data(x)
{}
/** Destructor, does nothing. */
~CommaInitializer() {}
/** Overloaded comma operator, called only once for the first occoured comma. This
means the first value is assigned by %operator=() and the 2nd value after the
comma. Therefore we call the %Initializer::operator,() for the list starting
after the 2nd. */
Initializer<2> operator,(value_type rhs)
{
m_object.commaWrite(0, m_data);
m_object.commaWrite(1, rhs);
return Initializer<2>(m_object, 2);
}
private:
Obj& m_object;
value_type m_data;
};
} // namespace tvmet
#endif // TVMET_COMMA_INITIALIZER_H
// Local Variables:
// mode:C++
// End:

59
tvmet-1.7.1/include/tvmet/CompileTimeError.h
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@@ -1,59 +0,0 @@
/*
* Tiny Vector Matrix Library
* Dense Vector Matrix Libary of Tiny size using Expression Templates
*
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: CompileTimeError.h,v 1.7 2003/11/30 08:26:25 opetzold Exp $
*/
#ifndef TVMET_COMPILE_TIME_ERROR_H
#define TVMET_COMPILE_TIME_ERROR_H
namespace tvmet {
/**
* \class CompileTimeError CompileTimeError.h "tvmet/CompileTimeError.h"
* \brief Compile Time Assertation classes.
*/
template<bool> struct CompileTimeError;
/**
* \class CompileTimeError<true> CompileTimeError.h "tvmet/CompileTimeError.h"
* \brief Specialized Compile Time Assertation for successfully condition.
* This results in a compiler pass.
*/
template<> struct CompileTimeError<true> { };
/**
* \def TVMET_CT_CONDITION(XPR, MSG)
* \brief Simplify the Compile Time Assertation by using an expression
* Xpr and an error message MSG.
*/
#define TVMET_CT_CONDITION(XPR, MSG) { \
CompileTimeError<(XPR)> tvmet_ERROR_##MSG; \
(void)tvmet_ERROR_##MSG; \
}
} // namespace tvmet
#endif // TVMET_COMPILE_TIME_ERROR_H
// Local Variables:
// mode:C++
// End:

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@@ -1,107 +0,0 @@
/*
* Tiny Vector Matrix Library
* Dense Vector Matrix Libary of Tiny size using Expression Templates
*
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: Extremum.h,v 1.6 2003/11/30 08:26:25 opetzold Exp $
*/
#ifndef TVMET_EXTREMUM_H
#define TVMET_EXTREMUM_H
namespace tvmet {
/**
* \class matrix_tag Extremum.h "tvmet/Extremum.h"
* \brief For use with Extremum to simplify max handling.
* This allows the min/max functions to return an Extremum object.
*/
struct matrix_tag { };
/**
* \class vector_tag Extremum.h "tvmet/Extremum.h"
* \brief For use with Extremum to simplify max handling.
* This allows the min/max functions to return an Extremum object.
*/
struct vector_tag { };
/**
* \class Extremum Extremum.h "tvmet/Extremum.h"
* \brief Generell class for storing extremums determined by min/max.
*/
template<class T1, class T2, class Tag>
class Extremum { };
/**
* \class Extremum<T1, T2, vector_tag> Extremum.h "tvmet/Extremum.h"
* \brief Partial specialzed for vectors to store extremums by value and index.
*/
template<class T1, class T2>
class Extremum<T1, T2, vector_tag>
{
public:
typedef T1 value_type;
typedef T2 index_type;
public:
Extremum(value_type value, index_type index)
: m_value(value), m_index(index) { }
value_type value() const { return m_value; }
index_type index() const { return m_index; }
private:
value_type m_value;
index_type m_index;
};
/**
* \class Extremum<T1, T2, matrix_tag> Extremum.h "tvmet/Extremum.h"
* \brief Partial specialzed for matrix to store extremums by value, row and column.
*/
template<class T1, class T2>
class Extremum<T1, T2, matrix_tag>
{
public:
typedef T1 value_type;
typedef T2 index_type;
public:
Extremum(value_type value, index_type row, index_type col)
: m_value(value), m_row(row), m_col(col) { }
value_type value() const { return m_value; }
index_type row() const { return m_row; }
index_type col() const { return m_col; }
private:
value_type m_value;
index_type m_row, m_col;
};
} // namespace tvmet
#endif // TVMET_EXTREMUM_H
// Local Variables:
// mode:C++
// End:

87
tvmet-1.7.1/include/tvmet/Functional.h
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@@ -1,87 +0,0 @@
/*
* Tiny Vector Matrix Library
* Dense Vector Matrix Libary of Tiny size using Expression Templates
*
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: Functional.h,v 1.7 2004/09/16 09:14:18 opetzold Exp $
*/
#ifndef TVMET_FUNCTIONAL_H
#define TVMET_FUNCTIONAL_H
#include <tvmet/TypePromotion.h>
namespace tvmet {
/**
* \class Functional Functional.h "tvmet/Functional.h"
* \brief Base class for all binary und unary functionals.
*
* All functional operators and functions have a static apply
* member function for evaluating the expressions inside.
*/
struct Functional { };
/**
* \class BinaryFunctional Functional.h "tvmet/Functional.h"
* \brief Base class for all binary functions.
* \note Used for collecting classes for doxygen.
*/
struct BinaryFunctional : public Functional { };
/**
* \class UnaryFunctional Functional.h "tvmet/Functional.h"
* \brief Base class for all unary functions.
* \note Used for collecting classes for doxygen.
*/
struct UnaryFunctional : public Functional { };
/*
* some macro magic need below
*/
/**
* \def TVMET_STD_SCOPE(x)
* \brief Simple macro to allow using macros for namespace std functions.
*/
#define TVMET_STD_SCOPE(x) std::x
/**
* \def TVMET_GLOBAL_SCOPE(x)
* \brief Simple macro to allow using macros for global namespace functions.
*/
#define TVMET_GLOBAL_SCOPE(x) ::x
} // namespace tvmet
#include <tvmet/BinaryFunctionals.h>
#include <tvmet/UnaryFunctionals.h>
#endif // TVMET_FUNCTIONAL_H
// Local Variables:
// mode:C++
// End:

306
tvmet-1.7.1/include/tvmet/Matrix.h
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@@ -1,306 +0,0 @@
/* This file is part of Eigen, a C++ template library for linear algebra
* Copyright (C) 2007 Benoit Jacob <jacob@math.jussieu.fr>
*
* Based on Tvmet source code, http://tvmet.sourceforge.net,
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: Matrix.h,v 1.54 2005/03/02 12:12:51 opetzold Exp $
*/
#ifndef TVMET_MATRIX_H
#define TVMET_MATRIX_H
#include <iterator> // reverse_iterator
#include <cassert>
#include <tvmet/tvmet.h>
#include <tvmet/TypePromotion.h>
#include <tvmet/CommaInitializer.h>
#include <tvmet/xpr/Matrix.h>
#include <tvmet/xpr/MatrixRow.h>
#include <tvmet/xpr/MatrixCol.h>
#include <tvmet/xpr/MatrixDiag.h>
namespace tvmet {
/* forwards */
template<class T, int Rows, int Cols> class Matrix;
/**
* \class MatrixConstRef Matrix.h "tvmet/Matrix.h"
* \brief value iterator for ET
*/
template<class T, int Rows, int Cols>
class MatrixConstRef
: public TvmetBase < MatrixConstRef<T, Rows, Cols> >
{
public:
/** Complexity counter. */
enum {
ops = Rows * Cols
};
typedef T value_type;
private:
MatrixConstRef();
MatrixConstRef& operator=(const MatrixConstRef&);
public:
/** Constructor. */
explicit MatrixConstRef(const Matrix<T, Rows, Cols>& rhs)
: m_array(rhs.array())
{ }
/** Constructor by a given memory pointer. */
explicit MatrixConstRef(const T* data)
: m_array(data)
{ }
/** access by index. */
T operator()(int i, int j) const {
assert(i >= 0 && j >= 0 && i < Rows && j < Cols);
return m_array[i + j * Rows];
}
/** debugging Xpr parse tree */
void print_xpr(std::ostream& os, int l=0) const {
os << IndentLevel(l)
<< "MatrixConstRef[O=" << ops << "]<"
<< "T=" << typeid(T).name() << ">,"
<< std::endl;
}
private:
const T* _tvmet_restrict m_array;
};
/**
* \class Matrix Matrix.h "tvmet/Matrix.h"
* \brief A tiny matrix class.
*
* The array syntax A[j][j] isn't supported here. The reason is that
* operator[] always takes exactly one parameter, but operator() can
* take any number of parameters (in the case of a rectangular matrix,
* two paramters are needed). Therefore the cleanest way to do it is
* with operator() rather than with operator[]. \see C++ FAQ Lite 13.8
*/
template<class T, int Rows, int Cols>
class Matrix
{
public:
typedef T value_type;
/** Complexity counter. */
enum {
ops_assign = Rows * Cols,
ops = ops_assign,
use_meta = ops < TVMET_COMPLEXITY_M_ASSIGN_TRIGGER ? true : false
};
/** The number of rows of the matrix. */
static int rows() { return Rows; }
/** The number of columns of the matrix. */
static int cols() { return Cols; }
public:
/** Default Destructor. Does nothing. */
~Matrix() {}
/** Default Constructor. Does nothing. The matrix entries are not initialized. */
explicit Matrix() {}
/** Copy Constructor, not explicit! */
Matrix(const Matrix& rhs)
{
*this = XprMatrix<ConstRef, Rows, Cols>(rhs.constRef());
}
explicit Matrix(const value_type* array)
{
for(int i = 0; i < Rows * Cols; i++) m_array[i] = array[i];
}
/** Construct a matrix by expression. */
template<class E>
explicit Matrix(const XprMatrix<E, Rows, Cols>& e)
{
*this = e;
}
/** assign a T on array, this can be used for a single value
or a comma separeted list of values. */
CommaInitializer<Matrix, Rows * Cols> operator=(T rhs) {
return CommaInitializer<Matrix, Rows * Cols>(*this, rhs);
}
public: // access operators
T* _tvmet_restrict array() { return m_array; }
const T* _tvmet_restrict array() const { return m_array; }
public: // index access operators
T& _tvmet_restrict operator()(int i, int j) {
// Note: g++-2.95.3 does have problems on typedef reference
assert(i >= 0 && j >= 0 && i < Rows && j < Cols);
return m_array[i + j * Rows];
}
const T& operator()(int i, int j) const {
assert(i >= 0 && j >= 0 && i < Rows && j < Cols);
return m_array[i + j * Rows];
}
public: // ET interface
typedef MatrixConstRef<T, Rows, Cols> ConstRef;
/** Return a const Reference of the internal data */
ConstRef constRef() const { return ConstRef(*this); }
/** Return the matrix as const expression. */
XprMatrix<ConstRef, Rows, Cols> expr() const {
return XprMatrix<ConstRef, Rows, Cols>(this->constRef());
}
private:
/** Wrapper for meta assign. */
template<class Dest, class Src, class Assign>
static inline
void do_assign(dispatch<true>, Dest& dest, const Src& src, const Assign& assign_fn) {
meta::Matrix<Rows, Cols, 0, 0>::assign(dest, src, assign_fn);
}
/** Wrapper for loop assign. */
template<class Dest, class Src, class Assign>
static inline
void do_assign(dispatch<false>, Dest& dest, const Src& src, const Assign& assign_fn) {
loop::Matrix<Rows, Cols>::assign(dest, src, assign_fn);
}
/** assign *this to a matrix of a different type T2 using
the functional assign_fn. */
template<class T2, class Assign>
void assign_to(Matrix<T2, Rows, Cols>& dest, const Assign& assign_fn) const {
do_assign(dispatch<use_meta>(), dest, *this, assign_fn);
}
public: // assign operations
/** assign a given matrix of a different type T2 element wise
to this matrix. The operator=(const Matrix&) is compiler
generated. */
template<class T2>
Matrix& operator=(const Matrix<T2, Rows, Cols>& rhs) {
rhs.assign_to(*this, Fcnl_assign<T, T2>());
return *this;
}
/** assign a given XprMatrix element wise to this matrix. */
template <class E>
Matrix& operator=(const XprMatrix<E, Rows, Cols>& rhs) {
rhs.assign_to(*this, Fcnl_assign<T, typename E::value_type>());
return *this;
}
private:
template<class Obj, int LEN> friend class CommaInitializer;
void commaWrite(int index, T rhs)
{
m_array[(index / Cols) + (index % Cols) * Rows] = rhs;
}
public: // math operators with scalars
Matrix& operator+=(T) _tvmet_always_inline;
Matrix& operator-=(T) _tvmet_always_inline;
Matrix& operator*=(T) _tvmet_always_inline;
Matrix& operator/=(T) _tvmet_always_inline;
template <class T2> Matrix& M_add_eq(const Matrix<T2, Rows, Cols>&) _tvmet_always_inline;
template <class T2> Matrix& M_sub_eq(const Matrix<T2, Rows, Cols>&) _tvmet_always_inline;
template <class T2> Matrix& M_mul_eq(const Matrix<T2, Rows, Cols>&) _tvmet_always_inline;
template <class T2> Matrix& M_div_eq(const Matrix<T2, Rows, Cols>&) _tvmet_always_inline;
public: // math operators with expressions
template <class E> Matrix& M_add_eq(const XprMatrix<E, Rows, Cols>&) _tvmet_always_inline;
template <class E> Matrix& M_sub_eq(const XprMatrix<E, Rows, Cols>&) _tvmet_always_inline;
template <class E> Matrix& M_mul_eq(const XprMatrix<E, Rows, Cols>&) _tvmet_always_inline;
template <class E> Matrix& M_div_eq(const XprMatrix<E, Rows, Cols>&) _tvmet_always_inline;
public: // aliased math operators with expressions
template <class T2> Matrix& alias_assign(const Matrix<T2, Rows, Cols>&) _tvmet_always_inline;
template <class T2> Matrix& alias_add_eq(const Matrix<T2, Rows, Cols>&) _tvmet_always_inline;
template <class T2> Matrix& alias_sub_eq(const Matrix<T2, Rows, Cols>&) _tvmet_always_inline;
template <class T2> Matrix& alias_mul_eq(const Matrix<T2, Rows, Cols>&) _tvmet_always_inline;
template <class T2> Matrix& alias_div_eq(const Matrix<T2, Rows, Cols>&) _tvmet_always_inline;
template <class E> Matrix& alias_assign(const XprMatrix<E, Rows, Cols>&) _tvmet_always_inline;
template <class E> Matrix& alias_add_eq(const XprMatrix<E, Rows, Cols>&) _tvmet_always_inline;
template <class E> Matrix& alias_sub_eq(const XprMatrix<E, Rows, Cols>&) _tvmet_always_inline;
template <class E> Matrix& alias_mul_eq(const XprMatrix<E, Rows, Cols>&) _tvmet_always_inline;
template <class E> Matrix& alias_div_eq(const XprMatrix<E, Rows, Cols>&) _tvmet_always_inline;
public: // io
/** Structure for info printing as Matrix<T, Rows, Cols>. */
struct Info : public TvmetBase<Info> {
std::ostream& print_xpr(std::ostream& os) const {
os << "Matrix<T=" << typeid(T).name()
<< ", R=" << Rows << ", C=" << Cols << ">";
return os;
}
};
/** Get an info object of this matrix. */
static Info info() { return Info(); }
/** Member function for expression level printing. */
std::ostream& print_xpr(std::ostream& os, int l=0) const;
/** Member function for printing internal data. */
std::ostream& print_on(std::ostream& os) const;
private:
/** The data of matrix self. */
T m_array[Rows * Cols];
};
typedef Matrix<int, 2, 2> Matrix2i;
typedef Matrix<int, 3, 3> Matrix3i;
typedef Matrix<int, 4, 4> Matrix4i;
typedef Matrix<float, 2, 2> Matrix2f;
typedef Matrix<float, 3, 3> Matrix3f;
typedef Matrix<float, 4, 4> Matrix4f;
typedef Matrix<double, 2, 2> Matrix2d;
typedef Matrix<double, 3, 3> Matrix3d;
typedef Matrix<double, 4, 4> Matrix4d;
} // namespace tvmet
#include <tvmet/MatrixImpl.h>
#include <tvmet/MatrixFunctions.h>
#include <tvmet/MatrixUnaryFunctions.h>
#include <tvmet/MatrixOperators.h>
#include <tvmet/MatrixEval.h>
#include <tvmet/AliasProxy.h>
#endif // TVMET_MATRIX_H
// Local Variables:
// mode:C++
// End:

322
tvmet-1.7.1/include/tvmet/MatrixEval.h
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@@ -1,322 +0,0 @@
/*
* Tiny Vector Matrix Library
* Dense Vector Matrix Libary of Tiny size using Expression Templates
*
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: MatrixEval.h,v 1.14 2004/06/10 16:36:55 opetzold Exp $
*/
#ifndef TVMET_MATRIX_EVAL_H
#define TVMET_MATRIX_EVAL_H
namespace tvmet {
/**
* \fn eval(const XprMatrix<E1, Rows, Cols>& e1, const Matrix<T2, Rows, Cols>& m2, const Matrix<T3, Rows, Cols>& m3)
* \brief Evals the matrix expressions.
* \ingroup _trinary_function
* This eval is for the a?b:c syntax, since it's not allowed to overload
* these operators.
*/
template<class E1, class T2, class T3, int Rows, int Cols>
inline
XprMatrix<
XprEval<
XprMatrix<E1, Rows, Cols>,
MatrixConstRef<T2, Rows, Cols>,
MatrixConstRef<T3, Rows, Cols>
>,
Rows, Cols
>
eval(const XprMatrix<E1, Rows, Cols>& e1,
const Matrix<T2, Rows, Cols>& m2,
const Matrix<T3, Rows, Cols>& m3) {
typedef XprEval<
XprMatrix<E1, Rows, Cols>,
MatrixConstRef<T2, Rows, Cols>,
MatrixConstRef<T3, Rows, Cols>
> expr_type;
return XprMatrix<expr_type, Rows, Cols>(
expr_type(e1, m2.constRef(), m3.constRef()));
}
/**
* \fn eval(const XprMatrix<E1, Rows, Cols>& e1, const Matrix<T2, Rows, Cols>& m2, const XprMatrix<E3, Rows, Cols>& e3)
* \brief Evals the matrix expressions.
* \ingroup _trinary_function
* This eval is for the a?b:c syntax, since it's not allowed to overload
* these operators.
*/
template<class E1, class T2, class E3, int Rows, int Cols>
inline
XprMatrix<
XprEval<
XprMatrix<E1, Rows, Cols>,
MatrixConstRef<T2, Rows, Cols>,
XprMatrix<E3, Rows, Cols>
>,
Rows, Cols
>
eval(const XprMatrix<E1, Rows, Cols>& e1,
const Matrix<T2, Rows, Cols>& m2,
const XprMatrix<E3, Rows, Cols>& e3) {
typedef XprEval<
XprMatrix<E1, Rows, Cols>,
MatrixConstRef<T2, Rows, Cols>,
XprMatrix<E3, Rows, Cols>
> expr_type;
return XprMatrix<expr_type, Rows, Cols>(
expr_type(e1, m2.constRef(), e3));
}
/**
* \fn eval(const XprMatrix<E1, Rows, Cols>& e1, const XprMatrix<E2, Rows, Cols>& e2, const Matrix<T3, Rows, Cols>& m3)
* \brief Evals the matrix expressions.
* \ingroup _trinary_function
* This eval is for the a?b:c syntax, since it's not allowed to overload
* these operators.
*/
template<class E1, class E2, class T3, int Rows, int Cols>
inline
XprMatrix<
XprEval<
XprMatrix<E1, Rows, Cols>,
XprMatrix<E2, Rows, Cols>,
MatrixConstRef<T3, Rows, Cols>
>,
Rows, Cols
>
eval(const XprMatrix<E1, Rows, Cols>& e1,
const XprMatrix<E2, Rows, Cols>& e2,
const Matrix<T3, Rows, Cols>& m3) {
typedef XprEval<
XprMatrix<E1, Rows, Cols>,
XprMatrix<E2, Rows, Cols>,
MatrixConstRef<T3, Rows, Cols>
> expr_type;
return XprMatrix<expr_type, Rows, Cols>(
expr_type(e1, e2, m3.constRef()));
}
/**
* \fn eval(const XprMatrix<E1, Rows, Cols>& e1, const XprMatrix<E2, Rows, Cols>& e2, const XprMatrix<E3, Rows, Cols>& e3)
* \brief Evals the matrix expressions.
* \ingroup _trinary_function
* This eval is for the a?b:c syntax, since it's not allowed to overload
* these operators.
*/
template<class E1, class E2, class E3, int Rows, int Cols>
inline
XprMatrix<
XprEval<
XprMatrix<E1, Rows, Cols>,
XprMatrix<E2, Rows, Cols>,
XprMatrix<E3, Rows, Cols>
>,
Rows, Cols
>
eval(const XprMatrix<E1, Rows, Cols>& e1,
const XprMatrix<E2, Rows, Cols>& e2,
const XprMatrix<E3, Rows, Cols>& e3) {
typedef XprEval<
XprMatrix<E1, Rows, Cols>,
XprMatrix<E2, Rows, Cols>,
XprMatrix<E3, Rows, Cols>
> expr_type;
return XprMatrix<expr_type, Rows, Cols>(expr_type(e1, e2, e3));
}
/*
* trinary evaluation functions with matrizes, xpr of and POD
*
* XprMatrix<E, Rows, Cols> ? POD1 : POD2
* XprMatrix<E1, Rows, Cols> ? POD : XprMatrix<E3, Rows, Cols>
* XprMatrix<E1, Rows, Cols> ? XprMatrix<E2, Rows, Cols> : POD
*/
#define TVMET_IMPLEMENT_MACRO(POD) \
template<class E, int Rows, int Cols> \
inline \
XprMatrix< \
XprEval< \
XprMatrix<E, Rows, Cols>, \
XprLiteral< POD >, \
XprLiteral< POD > \
>, \
Rows, Cols \
> \
eval(const XprMatrix<E, Rows, Cols>& e, POD x2, POD x3) { \
typedef XprEval< \
XprMatrix<E, Rows, Cols>, \
XprLiteral< POD >, \
XprLiteral< POD > \
> expr_type; \
return XprMatrix<expr_type, Rows, Cols>( \
expr_type(e, XprLiteral< POD >(x2), XprLiteral< POD >(x3))); \
} \
\
template<class E1, class E3, int Rows, int Cols> \
inline \
XprMatrix< \
XprEval< \
XprMatrix<E1, Rows, Cols>, \
XprLiteral< POD >, \
XprMatrix<E3, Rows, Cols> \
>, \
Rows, Cols \
> \
eval(const XprMatrix<E1, Rows, Cols>& e1, POD x2, const XprMatrix<E3, Rows, Cols>& e3) { \
typedef XprEval< \
XprMatrix<E1, Rows, Cols>, \
XprLiteral< POD >, \
XprMatrix<E3, Rows, Cols> \
> expr_type; \
return XprMatrix<expr_type, Rows, Cols>( \
expr_type(e1, XprLiteral< POD >(x2), e3)); \
} \
\
template<class E1, class E2, int Rows, int Cols> \
inline \
XprMatrix< \
XprEval< \
XprMatrix<E1, Rows, Cols>, \
XprMatrix<E2, Rows, Cols>, \
XprLiteral< POD > \
>, \
Rows, Cols \
> \
eval(const XprMatrix<E1, Rows, Cols>& e1, const XprMatrix<E2, Rows, Cols>& e2, POD x3) { \
typedef XprEval< \
XprMatrix<E1, Rows, Cols>, \
XprMatrix<E2, Rows, Cols>, \
XprLiteral< POD > \
> expr_type; \
return XprMatrix<expr_type, Rows, Cols>( \
expr_type(e1, e2, XprLiteral< POD >(x3))); \
}
TVMET_IMPLEMENT_MACRO(int)
TVMET_IMPLEMENT_MACRO(float)
TVMET_IMPLEMENT_MACRO(double)
#undef TVMET_IMPLEMENT_MACRO
/*
* trinary evaluation functions with matrizes, xpr of and complex<> types
*
* XprMatrix<E, Rows, Cols> e, std::complex<T> z2, std::complex<T> z3
* XprMatrix<E1, Rows, Cols> e1, std::complex<T> z2, XprMatrix<E3, Rows, Cols> e3
* XprMatrix<E1, Rows, Cols> e1, XprMatrix<E2, Rows, Cols> e2, std::complex<T> z3
*/
#if defined(EIGEN_USE_COMPLEX)
/**
* \fn eval(const XprMatrix<E, Rows, Cols>& e, const std::complex<T>& x2, const std::complex<T>& x3)
* \brief Evals the matrix expressions.
* \ingroup _trinary_function
* This eval is for the a?b:c syntax, since it's not allowed to overload
* these operators.
*/
template<class E, int Rows, int Cols, class T>
inline
XprMatrix<
XprEval<
XprMatrix<E, Rows, Cols>,
XprLiteral< std::complex<T> >,
XprLiteral< std::complex<T> >
>,
Rows, Cols
>
eval(const XprMatrix<E, Rows, Cols>& e, const std::complex<T>& x2, const std::complex<T>& x3) {
typedef XprEval<
XprMatrix<E, Rows, Cols>,
XprLiteral< std::complex<T> >,
XprLiteral< std::complex<T> >
> expr_type;
return XprMatrix<expr_type, Rows, Cols>(
expr_type(e, XprLiteral< std::complex<T> >(x2), XprLiteral< std::complex<T> >(x3)));
}
/**
* \fn eval(const XprMatrix<E1, Rows, Cols>& e1, const std::complex<T>& x2, const XprMatrix<E3, Rows, Cols>& e3)
* \brief Evals the matrix expressions.
* \ingroup _trinary_function
* This eval is for the a?b:c syntax, since it's not allowed to overload
* these operators.
*/
template<class E1, class E3, int Rows, int Cols, class T>
inline
XprMatrix<
XprEval<
XprMatrix<E1, Rows, Cols>,
XprLiteral< std::complex<T> >,
XprMatrix<E3, Rows, Cols>
>,
Rows, Cols
>
eval(const XprMatrix<E1, Rows, Cols>& e1, const std::complex<T>& x2, const XprMatrix<E3, Rows, Cols>& e3) {
typedef XprEval<
XprMatrix<E1, Rows, Cols>,
XprLiteral< std::complex<T> >,
XprMatrix<E3, Rows, Cols>
> expr_type;
return XprMatrix<expr_type, Rows, Cols>(
expr_type(e1, XprLiteral< std::complex<T> >(x2), e3));
}
/**
* \fn eval(const XprMatrix<E1, Rows, Cols>& e1, const XprMatrix<E2, Rows, Cols>& e2, const std::complex<T>& x3)
* \brief Evals the matrix expressions.
* \ingroup _trinary_function
* This eval is for the a?b:c syntax, since it's not allowed to overload
* these operators.
*/
template<class E1, class E2, int Rows, int Cols, class T>
inline
XprMatrix<
XprEval<
XprMatrix<E1, Rows, Cols>,
XprMatrix<E2, Rows, Cols>,
XprLiteral< std::complex<T> >
>,
Rows, Cols
>
eval(const XprMatrix<E1, Rows, Cols>& e1, const XprMatrix<E2, Rows, Cols>& e2, const std::complex<T>& x3) {
typedef XprEval<
XprMatrix<E1, Rows, Cols>,
XprMatrix<E2, Rows, Cols>,
XprLiteral< std::complex<T> >
> expr_type;
return XprMatrix<expr_type, Rows, Cols>(
expr_type(e1, e2, XprLiteral< std::complex<T> >(x3)));
}
#endif // defined(EIGEN_USE_COMPLEX)
} // namespace tvmet
#endif // TVMET_MATRIX_EVAL_H
// Local Variables:
// mode:C++
// End:

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tvmet-1.7.1/include/tvmet/MatrixFunctions.h
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tvmet-1.7.1/include/tvmet/MatrixImpl.h
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/*
* Tiny Vector Matrix Library
* Dense Vector Matrix Libary of Tiny size using Expression Templates
*
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: MatrixImpl.h,v 1.27 2004/06/10 16:36:55 opetzold Exp $
*/
#ifndef TVMET_MATRIX_IMPL_H
#define TVMET_MATRIX_IMPL_H
#include <iomanip> // setw
#include <tvmet/Functional.h>
namespace tvmet {
/*
* member operators for i/o
*/
template<class T, int Rows, int Cols>
std::ostream& Matrix<T, Rows, Cols>::print_xpr(std::ostream& os, int l) const
{
os << IndentLevel(l++) << "Matrix[" << ops << "]<"
<< typeid(T).name() << ", " << Rows << ", " << Cols << ">,"
<< IndentLevel(--l)
<< std::endl;
return os;
}
template<class T, int Rows, int Cols>
std::ostream& Matrix<T, Rows, Cols>::print_on(std::ostream& os) const
{
os << "[\n";
for(int i = 0; i < Rows; ++i) {
os << " [";
for(int j = 0; j < (Cols - 1); ++j) {
os << this->operator()(i, j) << ", ";
}
os << this->operator()(i, Cols - 1)
<< (i != (Rows-1) ? "],\n" : "]\n");
}
os << "]";
return os;
}
/*
* member operators with scalars, per se element wise
*/
#define TVMET_IMPLEMENT_MACRO(NAME, OP) \
template<class T, int Rows, int Cols> \
inline \
Matrix<T, Rows, Cols>& \
Matrix<T, Rows, Cols>::operator OP (value_type rhs) { \
typedef XprLiteral<value_type> expr_type; \
this->M_##NAME(XprMatrix<expr_type, Rows, Cols>(expr_type(rhs))); \
return *this; \
}
TVMET_IMPLEMENT_MACRO(add_eq, +=)
TVMET_IMPLEMENT_MACRO(sub_eq, -=)
TVMET_IMPLEMENT_MACRO(mul_eq, *=)
TVMET_IMPLEMENT_MACRO(div_eq, /=)
#undef TVMET_IMPLEMENT_MACRO
/*
* member functions (operators) with matrizes, for use with +=,-= ...
*/
#define TVMET_IMPLEMENT_MACRO(NAME) \
template<class T1, int Rows, int Cols> \
template <class T2> \
inline \
Matrix<T1, Rows, Cols>& \
Matrix<T1, Rows, Cols>::M_##NAME (const Matrix<T2, Rows, Cols>& rhs) { \
this->M_##NAME( XprMatrix<typename Matrix<T2, Rows, Cols>::ConstRef, Rows, Cols>(rhs.constRef()) ); \
return *this; \
}
TVMET_IMPLEMENT_MACRO(add_eq)
TVMET_IMPLEMENT_MACRO(sub_eq)
TVMET_IMPLEMENT_MACRO(mul_eq)
TVMET_IMPLEMENT_MACRO(div_eq)
#undef TVMET_IMPLEMENT_MACRO
/*
* member functions (operators) with expressions, for use with +=,-= ...
*/
#define TVMET_IMPLEMENT_MACRO(NAME) \
template<class T, int Rows, int Cols> \
template<class E> \
inline \
Matrix<T, Rows, Cols>& \
Matrix<T, Rows, Cols>::M_##NAME (const XprMatrix<E, Rows, Cols>& rhs) { \
rhs.assign_to(*this, Fcnl_##NAME<value_type, typename E::value_type>()); \
return *this; \
}
TVMET_IMPLEMENT_MACRO(add_eq)
TVMET_IMPLEMENT_MACRO(sub_eq)
TVMET_IMPLEMENT_MACRO(mul_eq)
TVMET_IMPLEMENT_MACRO(div_eq)
#undef TVMET_IMPLEMENT_MACRO
/*
* aliased member functions (operators) with matrizes,
* for use with +=,-= ...
*/
#define TVMET_IMPLEMENT_MACRO(NAME) \
template<class T1, int Rows, int Cols> \
template <class T2> \
inline \
Matrix<T1, Rows, Cols>& \
Matrix<T1, Rows, Cols>::alias_##NAME (const Matrix<T2, Rows, Cols>& rhs) { \
this->alias_##NAME( XprMatrix<typename Matrix<T2, Rows, Cols>::ConstRef, Rows, Cols>(rhs.constRef()) ); \
return *this; \
}
TVMET_IMPLEMENT_MACRO(assign)
TVMET_IMPLEMENT_MACRO(add_eq)
TVMET_IMPLEMENT_MACRO(sub_eq)
TVMET_IMPLEMENT_MACRO(mul_eq)
TVMET_IMPLEMENT_MACRO(div_eq)
#undef TVMET_IMPLEMENT_MACRO
/*
* aliased member functions (operators) with expressions,
* for use with +=,-= ... and aliased(),
*/
#define TVMET_IMPLEMENT_MACRO(NAME) \
template<class T, int Rows, int Cols> \
template<class E> \
inline \
Matrix<T, Rows, Cols>& \
Matrix<T, Rows, Cols>::alias_##NAME (const XprMatrix<E, Rows, Cols>& rhs) { \
typedef Matrix<T, Rows, Cols> temp_type; \
temp_type(rhs).assign_to(*this, Fcnl_##NAME<value_type, typename E::value_type>()); \
return *this; \
}
TVMET_IMPLEMENT_MACRO(assign)
TVMET_IMPLEMENT_MACRO(add_eq)
TVMET_IMPLEMENT_MACRO(sub_eq)
TVMET_IMPLEMENT_MACRO(mul_eq)
TVMET_IMPLEMENT_MACRO(div_eq)
#undef TVMET_IMPLEMENT_MACRO
} // namespace tvmet
#endif // TVMET_MATRIX_IMPL_H
// Local Variables:
// mode:C++
// End:

718
tvmet-1.7.1/include/tvmet/MatrixOperators.h
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@@ -1,718 +0,0 @@
/*
* Tiny Vector Matrix Library
* Dense Vector Matrix Libary of Tiny size using Expression Templates
*
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: MatrixOperators.h,v 1.33 2004/06/17 15:53:12 opetzold Exp $
*/
#ifndef TVMET_MATRIX_OPERATORS_H
#define TVMET_MATRIX_OPERATORS_H
namespace tvmet {
/*********************************************************
* PART I: DECLARATION
*********************************************************/
template<class T, int Rows, int Cols>
std::ostream& operator<<(std::ostream& os,
const Matrix<T, Rows, Cols>& rhs) _tvmet_always_inline;
/*++++++++++++++++++++++++++++++++++++++++++++++++++++++++
* Member operators (arithmetic and bit ops)
*++++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
/*
* update_operator(Matrix<T1, Rows, Cols>, Matrix<T2, Rows, Cols>)
* update_operator(Matrix<T1, Rows, Cols>, XprMatrix<E, Rows, Cols> rhs)
* Note: per se element wise
* \todo: the operator*= can have element wise mul oder product, decide!
*/
#define TVMET_DECLARE_MACRO(NAME, OP) \
template<class T1, class T2, int Rows, int Cols> \
Matrix<T1, Rows, Cols>& \
operator OP (Matrix<T1, Rows, Cols>& lhs, \
const Matrix<T2, Rows, Cols>& rhs) _tvmet_always_inline; \
\
template<class T, class E, int Rows, int Cols> \
Matrix<T, Rows, Cols>& \
operator OP (Matrix<T, Rows, Cols>& lhs, \
const XprMatrix<E, Rows, Cols>& rhs) _tvmet_always_inline;
TVMET_DECLARE_MACRO(add_eq, +=) // per se element wise
TVMET_DECLARE_MACRO(sub_eq, -=) // per se element wise
namespace element_wise {
TVMET_DECLARE_MACRO(mul_eq, *=) // see note
TVMET_DECLARE_MACRO(div_eq, /=) // not defined for vectors
}
#undef TVMET_DECLARE_MACRO
/*++++++++++++++++++++++++++++++++++++++++++++++++++++++++
* Matrix arithmetic operators implemented by functions
* add, sub, mul and div
*+++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
/*
* operator(Matrix<T1, Rows, Cols>, Matrix<T2, Rows, Cols>)
* operator(XprMatrix<E, Rows, Cols>, Matrix<T, Rows, Cols>)
* operator(Matrix<T, Rows, Cols>, XprMatrix<E, Rows, Cols>)
* Note: per se element wise
*/
#define TVMET_DECLARE_MACRO(NAME, OP) \
template<class T1, class T2, int Rows, int Cols> \
XprMatrix< \
XprBinOp< \
Fcnl_##NAME<T1, T2>, \
MatrixConstRef<T1, Rows, Cols>, \
MatrixConstRef<T2, Rows, Cols> \
>, \
Rows, Cols \
> \
operator OP (const Matrix<T1, Rows, Cols>& lhs, \
const Matrix<T2, Rows, Cols>& rhs) _tvmet_always_inline; \
\
template<class E, class T, int Rows, int Cols> \
XprMatrix< \
XprBinOp< \
Fcnl_##NAME<typename E::value_type, T>, \
XprMatrix<E, Rows, Cols>, \
MatrixConstRef<T, Rows, Cols> \
>, \
Rows, Cols \
> \
operator OP (const XprMatrix<E, Rows, Cols>& lhs, \
const Matrix<T, Rows, Cols>& rhs) _tvmet_always_inline; \
\
template<class T, class E, int Rows, int Cols> \
XprMatrix< \
XprBinOp< \
Fcnl_##NAME<typename E::value_type, T>, \
MatrixConstRef<T, Rows, Cols>, \
XprMatrix<E, Rows, Cols> \
>, \
Rows, Cols \
> \
operator OP (const Matrix<T, Rows, Cols>& lhs, \
const XprMatrix<E, Rows, Cols>& rhs) _tvmet_always_inline;
TVMET_DECLARE_MACRO(add, +) // per se element wise
TVMET_DECLARE_MACRO(sub, -) // per se element wise
namespace element_wise {
TVMET_DECLARE_MACRO(mul, *) // see as prod()
TVMET_DECLARE_MACRO(div, /) // not defined for matrizes
}
#undef TVMET_DECLARE_MACRO
/*
* operator(Matrix<T, Rows, Cols>, POD)
* operator(POD, Matrix<T, Rows, Cols>)
* Note: operations +,-,*,/ are per se element wise
*/
#define TVMET_DECLARE_MACRO(NAME, OP, POD) \
template<class T, int Rows, int Cols> \
XprMatrix< \
XprBinOp< \
Fcnl_##NAME<T, POD >, \
MatrixConstRef<T, Rows, Cols>, \
XprLiteral<POD > \
>, \
Rows, Cols \
> \
operator OP (const Matrix<T, Rows, Cols>& lhs, \
POD rhs) _tvmet_always_inline; \
\
template<class T, int Rows, int Cols> \
XprMatrix< \
XprBinOp< \
Fcnl_##NAME< POD, T>, \
XprLiteral< POD >, \
MatrixConstRef<T, Rows, Cols> \
>, \
Rows, Cols \
> \
operator OP (POD lhs, \
const Matrix<T, Rows, Cols>& rhs) _tvmet_always_inline;
TVMET_DECLARE_MACRO(add, +, int)
TVMET_DECLARE_MACRO(sub, -, int)
TVMET_DECLARE_MACRO(mul, *, int)
TVMET_DECLARE_MACRO(div, /, int)
TVMET_DECLARE_MACRO(add, +, float)
TVMET_DECLARE_MACRO(sub, -, float)
TVMET_DECLARE_MACRO(mul, *, float)
TVMET_DECLARE_MACRO(div, /, float)
TVMET_DECLARE_MACRO(add, +, double)
TVMET_DECLARE_MACRO(sub, -, double)
TVMET_DECLARE_MACRO(mul, *, double)
TVMET_DECLARE_MACRO(div, /, double)
#undef TVMET_DECLARE_MACRO
#if defined(EIGEN_USE_COMPLEX)
/*
* operator(Matrix<T, Rows, Cols>, complex<T>)
* operator(complex<T>, Matrix<T, Rows, Cols>)
* Note: operations +,-,*,/ are per se element wise
* \todo type promotion
*/
#define TVMET_DECLARE_MACRO(NAME, OP) \
template<class T, int Rows, int Cols> \
XprMatrix< \
XprBinOp< \
Fcnl_##NAME< std::complex<T>, std::complex<T> >, \
MatrixConstRef< std::complex<T>, Rows, Cols>, \
XprLiteral<std::complex<T> > \
>, \
Rows, Cols \
> \
operator OP (const Matrix< std::complex<T>, Rows, Cols>& lhs, \
const std::complex<T>& rhs) _tvmet_always_inline; \
\
template<class T, int Rows, int Cols> \
XprMatrix< \
XprBinOp< \
Fcnl_##NAME< std::complex<T>, std::complex<T> >, \
XprLiteral< std::complex<T> >, \
MatrixConstRef< std::complex<T>, Rows, Cols> \
>, \
Rows, Cols \
> \
operator OP (const std::complex<T>& lhs, \
const Matrix< std::complex<T>, Rows, Cols>& rhs) _tvmet_always_inline;
TVMET_DECLARE_MACRO(add, +)
TVMET_DECLARE_MACRO(sub, -)
TVMET_DECLARE_MACRO(mul, *)
TVMET_DECLARE_MACRO(div, /)
#undef TVMET_DECLARE_MACRO
#endif // defined(EIGEN_USE_COMPLEX)
/*++++++++++++++++++++++++++++++++++++++++++++++++++++++++
* matrix specific operator*() = prod() operations
*+++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
template<class T1, int Rows1, int Cols1,
class T2, int Cols2>
XprMatrix<
XprMMProduct<
MatrixConstRef<T1, Rows1, Cols1>, Rows1, Cols1,
MatrixConstRef<T2, Cols1, Cols2>, Cols2
>,
Rows1, Cols2
>
operator*(const Matrix<T1, Rows1, Cols1>& lhs,
const Matrix<T2, Cols1, Cols2>& rhs) _tvmet_always_inline;
template<class E1, int Rows1, int Cols1,
class T2, int Cols2>
XprMatrix<
XprMMProduct<
XprMatrix<E1, Rows1, Cols1>, Rows1, Cols1,
MatrixConstRef<T2, Cols1, Cols2>, Cols2
>,
Rows1, Cols2
>
operator*(const XprMatrix<E1, Rows1, Cols1>& lhs,
const Matrix<T2, Cols1, Cols2>& rhs) _tvmet_always_inline;
template<class T1, int Rows1, int Cols1,
class E2, int Cols2>
XprMatrix<
XprMMProduct<
MatrixConstRef<T1, Rows1, Cols1>, Rows1, Cols1,
XprMatrix<E2, Cols1, Cols2>, Cols2
>,
Rows1, Cols2
>
operator*(const Matrix<T1, Rows1, Cols1>& lhs,
const XprMatrix<E2, Cols1, Cols2>& rhs) _tvmet_always_inline;
/*++++++++++++++++++++++++++++++++++++++++++++++++++++++++
* matrix-vector specific prod( ... ) operators
*+++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
template<class T1, int Rows, int Cols, class T2>
XprVector<
XprMVProduct<
MatrixConstRef<T1, Rows, Cols>, Rows, Cols,
VectorConstRef<T2, Cols>
>,
Rows
>
operator*(const Matrix<T1, Rows, Cols>& lhs,
const Vector<T2, Cols>& rhs) _tvmet_always_inline;
template<class T1, class E2, int Rows, int Cols>
XprVector<
XprMVProduct<
MatrixConstRef<T1, Rows, Cols>, Rows, Cols,
XprVector<E2, Cols>
>,
Rows
>
operator*(const Matrix<T1, Rows, Cols>& lhs,
const XprVector<E2, Cols>& rhs) _tvmet_always_inline;
template<class E1, class T2, int Rows, int Cols>
XprVector<
XprMVProduct<
XprMatrix<E1, Rows, Cols>, Rows, Cols,
VectorConstRef<T2, Cols>
>,
Rows
>
operator*(const XprMatrix<E1, Rows, Cols>& lhs,
const Vector<T2, Cols>& rhs) _tvmet_always_inline;
/*++++++++++++++++++++++++++++++++++++++++++++++++++++++++
* global unary operators
*+++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
/*
* unary_operator(Matrix<T, Rows, Cols>)
* Note: per se element wise
*/
#define TVMET_DECLARE_MACRO(NAME, OP) \
template <class T, int Rows, int Cols> \
XprMatrix< \
XprUnOp< \
Fcnl_##NAME<T>, \
MatrixConstRef<T, Rows, Cols> \
>, \
Rows, Cols \
> \
operator OP (const Matrix<T, Rows, Cols>& rhs) _tvmet_always_inline;
TVMET_DECLARE_MACRO(neg, -)
#undef TVMET_DECLARE_MACRO
/*********************************************************
* PART II: IMPLEMENTATION
*********************************************************/
/**
* \fn operator<<(std::ostream& os, const Matrix<T, Rows, Cols>& rhs)
* \brief Overload operator for i/o
* \ingroup _binary_operator
*/
template<class T, int Rows, int Cols>
inline
std::ostream& operator<<(std::ostream& os, const Matrix<T, Rows, Cols>& rhs) {
return rhs.print_on(os);
}
/*++++++++++++++++++++++++++++++++++++++++++++++++++++++++
* Member operators (arithmetic and bit ops)
*++++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
/*
* update_operator(Matrix<T1, Rows, Cols>, Matrix<T2, Rows, Cols>)
* update_operator(Matrix<T1, Rows, Cols>, XprMatrix<E, Rows, Cols> rhs)
* Note: per se element wise
* \todo: the operator*= can have element wise mul oder product, decide!
*/
#define TVMET_IMPLEMENT_MACRO(NAME, OP) \
template<class T1, class T2, int Rows, int Cols> \
inline \
Matrix<T1, Rows, Cols>& \
operator OP (Matrix<T1, Rows, Cols>& lhs, const Matrix<T2, Rows, Cols>& rhs) { \
return lhs.M_##NAME(rhs); \
} \
\
template<class T, class E, int Rows, int Cols> \
inline \
Matrix<T, Rows, Cols>& \
operator OP (Matrix<T, Rows, Cols>& lhs, const XprMatrix<E, Rows, Cols>& rhs) { \
return lhs.M_##NAME(rhs); \
}
TVMET_IMPLEMENT_MACRO(add_eq, +=) // per se element wise
TVMET_IMPLEMENT_MACRO(sub_eq, -=) // per se element wise
namespace element_wise {
TVMET_IMPLEMENT_MACRO(mul_eq, *=) // see note
TVMET_IMPLEMENT_MACRO(div_eq, /=) // not defined for vectors
}
#undef TVMET_IMPLEMENT_MACRO
/*++++++++++++++++++++++++++++++++++++++++++++++++++++++++
* Matrix arithmetic operators implemented by functions
* add, sub, mul and div
*+++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
/*
* operator(Matrix<T1, Rows, Cols>, Matrix<T2, Rows, Cols>)
* operator(XprMatrix<E, Rows, Cols>, Matrix<T, Rows, Cols>)
* operator(Matrix<T, Rows, Cols>, XprMatrix<E, Rows, Cols>)
* Note: per se element wise
*/
#define TVMET_IMPLEMENT_MACRO(NAME, OP) \
template<class T1, class T2, int Rows, int Cols> \
inline \
XprMatrix< \
XprBinOp< \
Fcnl_##NAME<T1, T2>, \
MatrixConstRef<T1, Rows, Cols>, \
MatrixConstRef<T2, Rows, Cols> \
>, \
Rows, Cols \
> \
operator OP (const Matrix<T1, Rows, Cols>& lhs, const Matrix<T2, Rows, Cols>& rhs) { \
return NAME(lhs, rhs); \
} \
\
template<class E, class T, int Rows, int Cols> \
inline \
XprMatrix< \
XprBinOp< \
Fcnl_##NAME<typename E::value_type, T>, \
XprMatrix<E, Rows, Cols>, \
MatrixConstRef<T, Rows, Cols> \
>, \
Rows, Cols \
> \
operator OP (const XprMatrix<E, Rows, Cols>& lhs, const Matrix<T, Rows, Cols>& rhs) { \
return NAME(lhs, rhs); \
} \
\
template<class T, class E, int Rows, int Cols> \
inline \
XprMatrix< \
XprBinOp< \
Fcnl_##NAME<typename E::value_type, T>, \
MatrixConstRef<T, Rows, Cols>, \
XprMatrix<E, Rows, Cols> \
>, \
Rows, Cols \
> \
operator OP (const Matrix<T, Rows, Cols>& lhs, const XprMatrix<E, Rows, Cols>& rhs) { \
return NAME(lhs, rhs); \
}
TVMET_IMPLEMENT_MACRO(add, +) // per se element wise
TVMET_IMPLEMENT_MACRO(sub, -) // per se element wise
namespace element_wise {
TVMET_IMPLEMENT_MACRO(mul, *) // see as prod()
TVMET_IMPLEMENT_MACRO(div, /) // not defined for matrizes
}
#undef TVMET_IMPLEMENT_MACRO
/*
* operator(Matrix<T, Rows, Cols>, POD)
* operator(POD, Matrix<T, Rows, Cols>)
* Note: operations +,-,*,/ are per se element wise
*/
#define TVMET_IMPLEMENT_MACRO(NAME, OP, POD) \
template<class T, int Rows, int Cols> \
inline \
XprMatrix< \
XprBinOp< \
Fcnl_##NAME<T, POD >, \
MatrixConstRef<T, Rows, Cols>, \
XprLiteral<POD > \
>, \
Rows, Cols \
> \
operator OP (const Matrix<T, Rows, Cols>& lhs, POD rhs) { \
return NAME (lhs, rhs); \
} \
\
template<class T, int Rows, int Cols> \
inline \
XprMatrix< \
XprBinOp< \
Fcnl_##NAME< POD, T>, \
XprLiteral< POD >, \
MatrixConstRef<T, Rows, Cols> \
>, \
Rows, Cols \
> \
operator OP (POD lhs, const Matrix<T, Rows, Cols>& rhs) { \
return NAME (lhs, rhs); \
}
TVMET_IMPLEMENT_MACRO(add, +, int)
TVMET_IMPLEMENT_MACRO(sub, -, int)
TVMET_IMPLEMENT_MACRO(mul, *, int)
TVMET_IMPLEMENT_MACRO(div, /, int)
TVMET_IMPLEMENT_MACRO(add, +, float)
TVMET_IMPLEMENT_MACRO(sub, -, float)
TVMET_IMPLEMENT_MACRO(mul, *, float)
TVMET_IMPLEMENT_MACRO(div, /, float)
TVMET_IMPLEMENT_MACRO(add, +, double)
TVMET_IMPLEMENT_MACRO(sub, -, double)
TVMET_IMPLEMENT_MACRO(mul, *, double)
TVMET_IMPLEMENT_MACRO(div, /, double)
#undef TVMET_IMPLEMENT_MACRO
#if defined(EIGEN_USE_COMPLEX)
/*
* operator(Matrix<T, Rows, Cols>, complex<T>)
* operator(complex<T>, Matrix<T, Rows, Cols>)
* Note: operations +,-,*,/ are per se element wise
* \todo type promotion
*/
#define TVMET_IMPLEMENT_MACRO(NAME, OP) \
template<class T, int Rows, int Cols> \
inline \
XprMatrix< \
XprBinOp< \
Fcnl_##NAME< std::complex<T>, std::complex<T> >, \
MatrixConstRef< std::complex<T>, Rows, Cols>, \
XprLiteral<std::complex<T> > \
>, \
Rows, Cols \
> \
operator OP (const Matrix< std::complex<T>, Rows, Cols>& lhs, \
const std::complex<T>& rhs) { \
return NAME (lhs, rhs); \
} \
\
template<class T, int Rows, int Cols> \
inline \
XprMatrix< \
XprBinOp< \
Fcnl_##NAME< std::complex<T>, std::complex<T> >, \
XprLiteral< std::complex<T> >, \
MatrixConstRef< std::complex<T>, Rows, Cols> \
>, \
Rows, Cols \
> \
operator OP (const std::complex<T>& lhs, \
const Matrix< std::complex<T>, Rows, Cols>& rhs) { \
return NAME (lhs, rhs); \
}
TVMET_IMPLEMENT_MACRO(add, +)
TVMET_IMPLEMENT_MACRO(sub, -)
TVMET_IMPLEMENT_MACRO(mul, *)
TVMET_IMPLEMENT_MACRO(div, /)
#undef TVMET_IMPLEMENT_MACRO
#endif // defined(EIGEN_USE_COMPLEX)
/*++++++++++++++++++++++++++++++++++++++++++++++++++++++++
* matrix specific operator*() = prod() operations
*+++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
/**
* \fn operator*(const Matrix<T1, Rows1, Cols1>& lhs, const Matrix<T2, Cols1, Cols2>& rhs)
* \brief multiply two Matrices.
* \ingroup _binary_operator
* \note The rows2 has to be equal to cols1.
* \sa prod(const Matrix<T1, Rows1, Cols1>& lhs, const Matrix<T2, Cols1, Cols2>& rhs)
*/
template<class T1, int Rows1, int Cols1,
class T2, int Cols2>
inline
XprMatrix<
XprMMProduct<
MatrixConstRef<T1, Rows1, Cols1>, Rows1, Cols1,
MatrixConstRef<T2, Cols1, Cols2>, Cols2
>,
Rows1, Cols2
>
operator*(const Matrix<T1, Rows1, Cols1>& lhs, const Matrix<T2, Cols1, Cols2>& rhs) {
return prod(lhs, rhs);
}
/**
* \fn operator*(const XprMatrix<E1, Rows1, Cols1>& lhs, const Matrix<T2, Cols1, Cols2>& rhs)
* \brief Evaluate the product of XprMatrix and Matrix.
* \ingroup _binary_operator
* \sa prod(const XprMatrix<E1, Rows1, Cols1>& lhs, const Matrix<T2, Cols1, Cols2>& rhs)
*/
template<class E1, int Rows1, int Cols1,
class T2, int Cols2>
inline
XprMatrix<
XprMMProduct<
XprMatrix<E1, Rows1, Cols1>, Rows1, Cols1,
MatrixConstRef<T2, Cols1, Cols2>, Cols2
>,
Rows1, Cols2
>
operator*(const XprMatrix<E1, Rows1, Cols1>& lhs, const Matrix<T2, Cols1, Cols2>& rhs) {
return prod(lhs, rhs);
}
/**
* \fn operator*(const Matrix<T1, Rows1, Cols1>& lhs, const XprMatrix<E2, Cols1, Cols2>& rhs)
* \brief Evaluate the product of Matrix and XprMatrix.
* \ingroup _binary_operator
* \sa prod(const Matrix<T, Rows1, Cols1>& lhs, const XprMatrix<E, Cols1, Cols2>& rhs)
*/
template<class T1, int Rows1, int Cols1,
class E2, int Cols2>
inline
XprMatrix<
XprMMProduct<
MatrixConstRef<T1, Rows1, Cols1>, Rows1, Cols1,
XprMatrix<E2, Cols1, Cols2>, Cols2
>,
Rows1, Cols2
>
operator*(const Matrix<T1, Rows1, Cols1>& lhs, const XprMatrix<E2, Cols1, Cols2>& rhs) {
return prod(lhs, rhs);
}
/*++++++++++++++++++++++++++++++++++++++++++++++++++++++++
* matrix-vector specific prod( ... ) operators
*+++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
/**
* \fn operator*(const Matrix<T1, Rows, Cols>& lhs, const Vector<T2, Cols>& rhs)
* \brief multiply a Matrix with a Vector.
* \ingroup _binary_operator
* \note The length of the Vector has to be equal to the number of Columns.
* \sa prod(const Matrix<T1, Rows, Cols>& m, const Vector<T2, Cols>& v)
*/
template<class T1, int Rows, int Cols, class T2>
inline
XprVector<
XprMVProduct<
MatrixConstRef<T1, Rows, Cols>, Rows, Cols,
VectorConstRef<T2, Cols>
>,
Rows
>
operator*(const Matrix<T1, Rows, Cols>& lhs, const Vector<T2, Cols>& rhs) {
return prod(lhs, rhs);
}
/**
* \fn operator*(const Matrix<T1, Rows, Cols>& lhs, const XprVector<E2, Cols>& rhs)
* \brief Function for the matrix-vector-product
* \ingroup _binary_operator
* \sa prod(const Matrix<T, Rows, Cols>& lhs, const XprVector<E, Cols>& rhs)
*/
template<class T1, class E2, int Rows, int Cols>
inline
XprVector<
XprMVProduct<
MatrixConstRef<T1, Rows, Cols>, Rows, Cols,
XprVector<E2, Cols>
>,
Rows
>
operator*(const Matrix<T1, Rows, Cols>& lhs, const XprVector<E2, Cols>& rhs) {
return prod(lhs, rhs);
}
/**
* \fn operator*(const XprMatrix<E1, Rows, Cols>& lhs, const Vector<T2, Cols>& rhs)
* \brief Compute the product of an XprMatrix with a Vector.
* \ingroup _binary_operator
* \sa prod(const XprMatrix<E, Rows, Cols>& lhs, const Vector<T, Cols>& rhs)
*/
template<class E1, class T2, int Rows, int Cols>
inline
XprVector<
XprMVProduct<
XprMatrix<E1, Rows, Cols>, Rows, Cols,
VectorConstRef<T2, Cols>
>,
Rows
>
operator*(const XprMatrix<E1, Rows, Cols>& lhs, const Vector<T2, Cols>& rhs) {
return prod(lhs, rhs);
}
/*++++++++++++++++++++++++++++++++++++++++++++++++++++++++
* global unary operators
*+++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
/*
* unary_operator(Matrix<T, Rows, Cols>)
* Note: per se element wise
*/
#define TVMET_IMPLEMENT_MACRO(NAME, OP) \
template <class T, int Rows, int Cols> \
inline \
XprMatrix< \
XprUnOp< \
Fcnl_##NAME<T>, \
MatrixConstRef<T, Rows, Cols> \
>, \
Rows, Cols \
> \
operator OP (const Matrix<T, Rows, Cols>& rhs) { \
typedef XprUnOp< \
Fcnl_##NAME<T>, \
MatrixConstRef<T, Rows, Cols> \
> expr_type; \
return XprMatrix<expr_type, Rows, Cols>(expr_type(rhs.constRef())); \
}
TVMET_IMPLEMENT_MACRO(neg, -)
#undef TVMET_IMPLEMENT_MACRO
} // namespace tvmet
#endif // TVMET_MATRIX_OPERATORS_H
// Local Variables:
// mode:C++
// End:

90
tvmet-1.7.1/include/tvmet/MatrixUnaryFunctions.h
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@@ -1,90 +0,0 @@
/*
* Tiny Vector Matrix Library
* Dense Vector Matrix Libary of Tiny size using Expression Templates
*
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: MatrixUnaryFunctions.h,v 1.9 2004/06/10 16:36:55 opetzold Exp $
*/
#ifndef TVMET_MATRIX_UNARY_FUNCTIONS_H
#define TVMET_MATRIX_UNARY_FUNCTIONS_H
namespace tvmet {
/*
* unary_function(Matrix<std::complex<T>, Rows, Cols>)
*/
#if defined(EIGEN_USE_COMPLEX)
#define TVMET_DECLARE_MACRO(NAME) \
template<class T, int Rows, int Cols> \
inline \
XprMatrix< \
XprUnOp< \
Fcnl_##NAME< std::complex<T> >, \
MatrixConstRef<std::complex<T>, Rows, Cols> \
>, \
Rows, Cols \
> \
NAME(const Matrix<std::complex<T>, Rows, Cols>& rhs) _tvmet_always_inline;
TVMET_DECLARE_MACRO(real)
TVMET_DECLARE_MACRO(imag)
TVMET_DECLARE_MACRO(conj)
#undef TVMET_DECLARE_MACRO
#endif // defined(EIGEN_USE_COMPLEX)
/*
* unary_function(Matrix<std::complex<T>, Rows, Cols>)
*/
#if defined(EIGEN_USE_COMPLEX)
#define TVMET_IMPLEMENT_MACRO(NAME) \
template<class T, int Rows, int Cols> \
inline \
XprMatrix< \
XprUnOp< \
Fcnl_##NAME< std::complex<T> >, \
MatrixConstRef<std::complex<T>, Rows, Cols> \
>, \
Rows, Cols \
> \
NAME(const Matrix<std::complex<T>, Rows, Cols>& rhs) { \
typedef XprUnOp< \
Fcnl_##NAME< std::complex<T> >, \
MatrixConstRef<std::complex<T>, Rows, Cols> \
> expr_type; \
return XprMatrix<expr_type, Rows, Cols>(expr_type(rhs.constRef())); \
}
TVMET_IMPLEMENT_MACRO(real)
TVMET_IMPLEMENT_MACRO(imag)
TVMET_IMPLEMENT_MACRO(conj)
#undef TVMET_IMPLEMENT_MACRO
#endif // defined(EIGEN_USE_COMPLEX)
} // namespace tvmet
#endif // TVMET_MATRIX_UNARY_FUNCTIONS_H
// Local Variables:
// mode:C++
// End:

122
tvmet-1.7.1/include/tvmet/Traits.h
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@@ -1,122 +0,0 @@
/* This file is part of Eigen, a C++ template library for linear algebra
* Copyright (C) 2007 Benoit Jacob <jacob@math.jussieu.fr>
*
* Based on Tvmet source code, http://tvmet.sourceforge.net,
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: Traits.h,v 1.11 2004/11/04 18:10:35 opetzold Exp $
*/
#ifndef TVMET_NUMERIC_TRAITS_H
#define TVMET_NUMERIC_TRAITS_H
#if defined(EIGEN_USE_COMPLEX)
# include <complex>
#endif
#include <cmath>
#include <tvmet/TraitsBase.h>
namespace tvmet {
/**
* \class Traits Traits.h "tvmet/Traits.h"
* \brief Traits for standard types.
*
*/
template<typename T>
struct Traits : public TraitsBase<T>
{
typedef TraitsBase<T> Base;
typedef typename Base::value_type value_type;
typedef typename Base::real_type real_type;
typedef typename Base::float_type float_type;
typedef typename Base::argument_type argument_type;
using Base::isFloat;
using Base::isComplex;
using Base::epsilon;
using Base::abs;
using Base::real;
using Base::imag;
using Base::conj;
using Base::sqrt;
using Base::isLessThan_nonfuzzy;
static value_type random()
{
value_type x;
pickRandom(x);
return x;
}
/**
* Short version: returns true if the absolute value of \a a is much smaller
* than that of \a b.
*
* Full story: returns(abs(a) <= abs(b) * epsilon());
*/
static bool isNegligible(argument_type a, argument_type b)
{
if(isFloat())
return(abs(a) <= abs(b) * epsilon());
else
return(a==static_cast<value_type>(0));
}
/**
* Short version: returns true if \a a is approximately zero.
*
* Full story: returns isNegligible( a, static_cast<T>(1) );
*/
static bool isZero(argument_type a)
{
return isNegligible(a, static_cast<value_type>(1));
}
/**
* Short version: returns true if a is very close to b, false otherwise.
*
* Full story: returns abs( a - b ) <= min( abs(a), abs(b) ) * epsilon<T>.
*/
static bool isApprox(argument_type a, argument_type b)
{
if(isFloat())
return(abs( a - b ) <= std::min(abs(a), abs(b)) * epsilon());
else
return(a==b);
}
/**
* Short version: returns true if a is smaller or approximately equalt to b, false otherwise.
*
* Full story: returns a <= b || isApprox(a, b);
*/
static bool isLessThan(argument_type a, argument_type b)
{
if(isFloat())
return(isLessThan_nonfuzzy(a,b) || isApprox(a, b));
else
return(isLessThan_nonfuzzy(a,b));
}
};
} // namespace tvmet
#endif // TVMET_NUMERIC_TRAITS_H

347
tvmet-1.7.1/include/tvmet/TraitsBase.h
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@@ -1,347 +0,0 @@
/* This file is part of Eigen, a C++ template library for linear algebra
* Copyright (C) 2007 Benoit Jacob <jacob@math.jussieu.fr>
*
* Based on Tvmet source code, http://tvmet.sourceforge.net,
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: TraitsBase.h,v 1.11 2004/11/04 18:10:35 opetzold Exp $
*/
#ifndef TVMET_NUMERIC_TRAITS_BASE_H
#define TVMET_NUMERIC_TRAITS_BASE_H
#if defined(EIGEN_USE_COMPLEX)
# include <complex>
#endif
#include <cmath>
#include <cstdlib>
namespace tvmet {
/**
* \class TraitsBase TraitsBase.h "tvmet/TraitsBase.h"
* \brief Traits for standard types.
*
* In this base class goes the basic stuff that has to be implemented specifically
* for each type.
*/
template<typename T>
struct TraitsBase {
typedef T real_type;
typedef T value_type;
typedef T float_type;
typedef const T & argument_type;
static real_type real(argument_type x);
static real_type imag(argument_type x);
static value_type conj(argument_type x);
static real_type abs(argument_type x);
static value_type sqrt(argument_type x);
static real_type epsilon();
static bool isComplex();
static bool isFloat();
static bool isLessThan_nonfuzzy(argument_type x, argument_type y);
};
/*
* numeric traits for built-in types
*/
/**
* \class TraitsBase<int> TraitsBase.h "tvmet/TraitsBase.h"
* \brief Traits specialized for int.
*/
template<>
struct TraitsBase<int> {
typedef int value_type;
typedef value_type real_type;
typedef double float_type;
typedef value_type argument_type;
static real_type real(argument_type x) { return x; }
static real_type imag(argument_type x) { TVMET_UNUSED(x); return 0; }
static value_type conj(argument_type x) { return x; }
static value_type sqrt(argument_type x) {
return static_cast<value_type>(std::sqrt(static_cast<float_type>(x)));
}
static real_type abs(argument_type x) {
return std::abs(x);
}
static real_type epsilon() { return 0; }
static bool isComplex() { return false; }
static bool isFloat() { return false; }
/** Complexity on operations. */
enum {
ops_plus = 1, /**< Complexity on plus/minus ops. */
ops_muls = 1 /**< Complexity on multiplications. */
};
static bool isLessThan_nonfuzzy(argument_type x, argument_type y) {
return x <= y;
}
};
/**
* \class TraitsBase<float> TraitsBase.h "tvmet/TraitsBase.h"
* \brief Traits specialized for float.
*/
template<>
struct TraitsBase<float> {
typedef float value_type;
typedef value_type real_type;
typedef value_type float_type;
typedef value_type argument_type;
static real_type real(argument_type x) { return x; }
static real_type imag(argument_type x) { TVMET_UNUSED(x); return 0; }
static value_type conj(argument_type x) { return x; }
static value_type sqrt(argument_type x) {
return std::sqrt(x);
}
static real_type abs(argument_type x) {
return std::abs(x);
}
static real_type epsilon() { return 1e-5f; }
static bool isComplex() { return false; }
static bool isFloat() { return true; }
/** Complexity on operations. */
enum {
ops_plus = 1, /**< Complexity on plus/minus ops. */
ops_muls = 1 /**< Complexity on multiplications. */
};
static bool isLessThan_nonfuzzy(argument_type x, argument_type y) {
return x <= y;
}
};
/**
* \class TraitsBase<double> TraitsBase.h "tvmet/TraitsBase.h"
* \brief Traits specialized for double.
*/
template<>
struct TraitsBase<double> {
typedef double value_type;
typedef value_type real_type;
typedef value_type float_type;
typedef value_type argument_type;
static real_type real(argument_type x) { return x; }
static real_type imag(argument_type x) { TVMET_UNUSED(x); return 0; }
static value_type conj(argument_type x) { return x; }
static value_type sqrt(argument_type x) {
return std::sqrt(x);
}
static real_type abs(argument_type x) {
return std::abs(x);
}
static real_type epsilon() { return 1e-11; }
static bool isComplex() { return false; }
static bool isFloat() { return true; }
/** Complexity on operations. */
enum {
ops_plus = 1, /**< Complexity on plus/minus ops. */
ops_muls = 1 /**< Complexity on multiplications. */
};
static bool isLessThan_nonfuzzy(argument_type x, argument_type y) {
return x <= y;
}
};
/*
* numeric traits for complex types
*/
#if defined(EIGEN_USE_COMPLEX)
/**
* \class TraitsBase< std::complex<int> > TraitsBase.h "tvmet/TraitsBase.h"
* \brief Traits specialized for std::complex<int>.
*/
template<>
struct TraitsBase< std::complex<int> >
{
typedef std::complex<int> value_type;
typedef int real_type;
typedef std::complex<float> float_type;
typedef const value_type& argument_type;
static real_type real(argument_type z) { return std::real(z); }
static real_type imag(argument_type z) { return std::imag(z); }
static value_type conj(argument_type z) { return std::conj(z); }
static real_type abs(argument_type x) {
// the use of ceil() guarantees e.g. that abs(real(x)) <= abs(x),
// and that abs(x)==0 if and only if x==0.
return static_cast<int>(std::ceil(std::abs(float_type(x.real(),x.imag()))));
}
static value_type sqrt(argument_type x) {
float_type y = std::sqrt(float_type(x.real(), x.imag()));
int r = static_cast<int>(y.real());
int i = static_cast<int>(y.imag());
return value_type(r,i);
}
static real_type epsilon() { return 0; }
static bool isComplex() { return true; }
static bool isFloat() { return false; }
/** Complexity on operations. */
enum {
ops_plus = 2, /**< Complexity on plus/minus ops. */
ops_muls = 6 /**< Complexity on multiplications. */
};
static bool isLessThan_nonfuzzy(argument_type x, argument_type y) {
TVMET_UNUSED(x);
TVMET_UNUSED(y);
return false;
}
};
/**
* \class TraitsBase< std::complex<float> > TraitsBase.h "tvmet/TraitsBase.h"
* \brief Traits specialized for std::complex<float>.
*/
template<>
struct TraitsBase< std::complex<float> > {
typedef std::complex<float> value_type;
typedef float real_type;
typedef value_type float_type;
typedef const value_type& argument_type;
static real_type real(argument_type z) { return std::real(z); }
static real_type imag(argument_type z) { return std::imag(z); }
static value_type conj(argument_type z) { return std::conj(z); }
static value_type sqrt(argument_type x) {
return std::sqrt(x);
}
static real_type abs(argument_type x) {
return std::abs(x);
}
static real_type epsilon() { return 1e-5f; }
static bool isComplex() { return true; }
static bool isFloat() { return true; }
/** Complexity on operations. */
enum {
ops_plus = 2, /**< Complexity on plus/minus ops. */
ops_muls = 6 /**< Complexity on multiplications. */
};
static bool isLessThan_nonfuzzy(argument_type x, argument_type y) {
TVMET_UNUSED(x);
TVMET_UNUSED(y);
return false;
}
};
/**
* \class TraitsBase< std::complex<double> > TraitsBase.h "tvmet/TraitsBase.h"
* \brief Traits specialized for std::complex<double>.
*/
template<>
struct TraitsBase< std::complex<double> > {
typedef std::complex<double> value_type;
typedef double real_type;
typedef value_type float_type;
typedef const value_type& argument_type;
static real_type real(argument_type z) { return std::real(z); }
static real_type imag(argument_type z) { return std::imag(z); }
static value_type conj(argument_type z) { return std::conj(z); }
static value_type sqrt(argument_type x) {
return std::sqrt(x);
}
static real_type abs(argument_type x) {
return std::abs(x);
}
static real_type epsilon() { return 1e-11; }
static bool isComplex() { return true; }
static bool isFloat() { return true; }
/** Complexity on operations. */
enum {
ops_plus = 2, /**< Complexity on plus/minus ops. */
ops_muls = 6 /**< Complexity on multiplications. */
};
static bool isLessThan_nonfuzzy(argument_type x, argument_type y) {
TVMET_UNUSED(x);
TVMET_UNUSED(y);
return false;
}
};
#endif // defined(EIGEN_USE_COMPLEX)
#ifdef __GNUC__
# if __GNUC__>=4
# define EIGEN_WITH_GCC_4_OR_LATER
# endif
#endif
/** Stores in x a random int between -RAND_MAX/2 and RAND_MAX/2 */
inline void pickRandom( int & x )
{
x = rand() - RAND_MAX / 2;
}
/** Stores in x a random float between -1.0 and 1.0 */
inline void pickRandom( float & x )
{
x = 2.0f * rand() / RAND_MAX - 1.0f;
}
/** Stores in x a random double between -1.0 and 1.0 */
inline void pickRandom( double & x )
{
x = 2.0 * rand() / RAND_MAX - 1.0;
}
#ifdef EIGEN_USE_COMPLEX
/** Stores in the real and imaginary parts of x
* random values between -1.0 and 1.0 */
template<typename T> void pickRandom( std::complex<T> & x )
{
#ifdef EIGEN_WITH_GCC_4_OR_LATER
pickRandom( x.real() );
pickRandom( x.imag() );
#else // workaround by David Faure for MacOS 10.3 and GCC 3.3, commit 630812
T r = x.real();
T i = x.imag();
pickRandom( r );
pickRandom( i );
x = std::complex<T>(r,i);
#endif
}
#endif // EIGEN_USE_COMPLEX
} // namespace tvmet
#endif // TVMET_NUMERIC_TRAITS_BASE_H

101
tvmet-1.7.1/include/tvmet/TvmetBase.h
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@@ -1,101 +0,0 @@
/*
* Tiny Vector Matrix Library
* Dense Vector Matrix Libary of Tiny size using Expression Templates
*
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: TvmetBase.h,v 1.11 2004/06/10 16:36:55 opetzold Exp $
*/
#ifndef TVMET_BASE_H
#define TVMET_BASE_H
#include <iosfwd> // io streams forward declaration
#include <typeinfo> // rtti: used by Xpr.h level printing
#include <cmath> // unary and binary math
#include <cstdlib> // labs
namespace tvmet {
/**
* \class TvmetBase TvmetBase.h "tvmet/TvmetBase.h"
* \brief Base class
* Used for static polymorph call of print_xpr
*/
template<class E> class TvmetBase { };
/**
* \class IndentLevel TvmetBase.h "tvmet/TvmetBase.h"
* \brief Prints the level indent.
*/
class IndentLevel : public TvmetBase< IndentLevel >
{
public:
IndentLevel(int level) : m_level(level) { }
std::ostream& print_xpr(std::ostream& os) const {
for(int i = 0; i != m_level; ++i) os << " ";
return os;
}
private:
int m_level;
};
/**
* \fn operator<<(std::ostream& os, const TvmetBase<E>& e)
* \brief overloaded ostream operator using static polymorphic.
* \ingroup _binary_operator
*/
template<class E>
inline
std::ostream& operator<<(std::ostream& os, const TvmetBase<E>& e) {
static_cast<const E&>(e).print_xpr(os);
return os;
}
/**
* \class dispatch TvmetBase.h "tvmet/TvmetBase.h"
* \brief Class helper to distuingish between e.g. meta
* and loop strategy used.
*/
template<bool> struct dispatch;
/**
* \class dispatch<true> TvmetBase.h "tvmet/TvmetBase.h"
* \brief specialized.
*/
template<> struct dispatch<true> { };
/**
* \class dispatch<false> TvmetBase.h "tvmet/TvmetBase.h"
* \brief specialized.
*/
template<> struct dispatch<false> { };
} // namespace tvmet
#endif // TVMET_BASE_H
// Local Variables:
// mode:C++
// End:

176
tvmet-1.7.1/include/tvmet/TypePromotion.h
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@@ -1,176 +0,0 @@
/*
* Tiny Vector Matrix Library
* Dense Vector Matrix Libary of Tiny size using Expression Templates
*
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: TypePromotion.h,v 1.6 2003/11/30 08:26:25 opetzold Exp $
*/
#ifndef TVMET_TYPE_PROMOTION_H
#define TVMET_TYPE_PROMOTION_H
namespace tvmet {
/**
* \class PrecisionTraits TypePromotion.h "tvmet/TypePromotion.h"
* \brief Declaring ranks of types to avoid specializing
*
* All possible promoted types. For example, bool=1, int=2, float=3, double=4,
* etc. We can use a traits class to map from a type such as float onto its
* "precision rank". We will promote to whichever type has a higher
* "precision rank". f there is no "precision rank" for a type, we'll
* promote to whichever type requires more storage space
* (and hopefully more precision).
*/
template<class T>
struct PrecisionTraits {
enum {
rank = 0, /**< the rank of type. */
known = 0 /**< true, if the rank is specialized = known. */
};
};
#define TVMET_PRECISION(T,R) \
template<> \
struct PrecisionTraits< T > { \
enum { \
rank = R, \
known = 1 \
}; \
};
/*
* pod types
*/
TVMET_PRECISION(int, 100)
TVMET_PRECISION(float, 700)
TVMET_PRECISION(double, 800)
/*
* complex types
*/
#if defined(EIGEN_USE_COMPLEX)
TVMET_PRECISION(std::complex<int>, 1000)
TVMET_PRECISION(std::complex<float>, 1600)
TVMET_PRECISION(std::complex<double>, 1700)
#endif // defined(EIGEN_USE_COMPLEX)
/** \class PrecisionTraits<int> TypePromotion.h "tvmet/TypePromotion.h" */
/** \class PrecisionTraits<unsigned int> TypePromotion.h "tvmet/TypePromotion.h" */
/** \class PrecisionTraits<long> TypePromotion.h "tvmet/TypePromotion.h" */
/** \class PrecisionTraits<unsigned long> TypePromotion.h "tvmet/TypePromotion.h" */
/** \class PrecisionTraits<long long> TypePromotion.h "tvmet/TypePromotion.h" */
/** \class PrecisionTraits<unsigned long long> TypePromotion.h "tvmet/TypePromotion.h" */
/** \class PrecisionTraits<float> TypePromotion.h "tvmet/TypePromotion.h" */
/** \class PrecisionTraits<double> TypePromotion.h "tvmet/TypePromotion.h" */
/** \class PrecisionTraits<long double> TypePromotion.h "tvmet/TypePromotion.h" */
/** \class PrecisionTraits< std::complex<int> > TypePromotion.h "tvmet/TypePromotion.h" */
/** \class PrecisionTraits< std::complex<unsigned int> > TypePromotion.h "tvmet/TypePromotion.h" */
/** \class PrecisionTraits< std::complex<long> > TypePromotion.h "tvmet/TypePromotion.h" */
/** \class PrecisionTraits< std::complex<unsigned long> > TypePromotion.h "tvmet/TypePromotion.h" */
/** \class PrecisionTraits< std::complex<long long> > TypePromotion.h "tvmet/TypePromotion.h" */
/** \class PrecisionTraits< std::complex<unsigned long long> > TypePromotion.h "tvmet/TypePromotion.h" */
/** \class PrecisionTraits< std::complex<float> > TypePromotion.h "tvmet/TypePromotion.h" */
/** \class PrecisionTraits< std::complex<double> > TypePromotion.h "tvmet/TypePromotion.h" */
/** \class PrecisionTraits< std::complex<long double> > TypePromotion.h "tvmet/TypePromotion.h" */
#undef TVMET_PRECISION
/**
* \class AutopromoteTraits TypePromotion.h "tvmet/TypePromotion.h"
* \brief The promoted types traits.
*/
template<class T>
struct AutopromoteTraits {
typedef T value_type;
};
/**
* \class promoteTo TypePromotion.h "tvmet/TypePromotion.h"
* \brief Promote to T1.
*/
template<class T1, class T2, int promoteToT1>
struct promoteTo {
typedef T1 value_type;
};
/**
* \class promoteTo<T1,T2,0> TypePromotion.h "tvmet/TypePromotion.h"
* \brief Promote to T2
*/
template<class T1, class T2>
struct promoteTo<T1,T2,0> {
typedef T2 value_type;
};
/**
* \class PromoteTraits TypePromotion.h "tvmet/TypePromotion.h"
* \brief Promote type traits
*/
template<class T1org, class T2org>
class PromoteTraits {
// Handle promotion of small integers to int/unsigned int
typedef typename AutopromoteTraits<T1org>::value_type T1;
typedef typename AutopromoteTraits<T2org>::value_type T2;
enum {
// True if T1 is higher ranked
T1IsBetter = int(PrecisionTraits<T1>::rank) > int(PrecisionTraits<T2>::rank),
// True if we know ranks for both T1 and T2
knowBothRanks = PrecisionTraits<T1>::known && PrecisionTraits<T2>::known,
// True if we know T1 but not T2
knowT1butNotT2 = PrecisionTraits<T1>::known && !(PrecisionTraits<T2>::known),
// True if we know T2 but not T1
knowT2butNotT1 = PrecisionTraits<T2>::known && !(PrecisionTraits<T1>::known),
// True if T1 is bigger than T2
T1IsLarger = sizeof(T1) >= sizeof(T2),
// We know T1 but not T2: true
// We know T2 but not T1: false
// Otherwise, if T1 is bigger than T2: true
defaultPromotion = knowT1butNotT2 ? false : (knowT2butNotT1 ? true : T1IsLarger),
// If we have both ranks, then use them.
// If we have only one rank, then use the unknown type.
// If we have neither rank, then promote to the larger type.
promoteToT1 = (knowBothRanks ? T1IsBetter : defaultPromotion) ? 1 : 0
};
public:
typedef typename promoteTo<T1,T2,promoteToT1>::value_type value_type;
};
} // namespace tvmet
#endif // TVMET_TYPE_PROMOTION_H
// Local Variables:
// mode:C++
// End:

119
tvmet-1.7.1/include/tvmet/UnaryFunctionals.h
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@@ -1,119 +0,0 @@
/*
* Tiny Vector Matrix Library
* Dense Vector Matrix Libary of Tiny size using Expression Templates
*
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: UnaryFunctionals.h,v 1.18 2004/10/04 11:44:42 opetzold Exp $
*/
#ifndef TVMET_UNARY_FUNCTIONAL_H
#define TVMET_UNARY_FUNCTIONAL_H
namespace tvmet {
/** \class Fcnl_compl UnaryFunctionals.h "tvmet/UnaryFunctionals.h" */
/** \class Fcnl_neg UnaryFunctionals.h "tvmet/UnaryFunctionals.h" */
#define TVMET_IMPLEMENT_MACRO(NAME, OP) \
template <class T> \
struct Fcnl_##NAME : public UnaryFunctional { \
typedef T value_type; \
\
static inline \
value_type apply_on(value_type rhs) { \
return OP rhs; \
} \
\
static \
void print_xpr(std::ostream& os, int l=0) { \
os << IndentLevel(l) << "Fcnl_" << #NAME << "<T=" \
<< typeid(T).name() << ">," \
<< std::endl; \
} \
};
TVMET_IMPLEMENT_MACRO(neg, -)
#undef TVMET_IMPLEMENT_MACRO
/*
* complex support
*/
#if defined(EIGEN_USE_COMPLEX)
/**
* \class Fcnl_conj< std::complex<T> > UnaryFunctionals.h "tvmet/UnaryFunctionals.h"
* \brief %Functional for conj.
*/
template <class T> struct Fcnl_conj : public UnaryFunctional { };
/** \class Fcnl_conj< std::complex<T> > UnaryFunctionals.h "tvmet/UnaryFunctionals.h" */
template <class T>
struct Fcnl_conj< std::complex<T> > : public UnaryFunctional {
typedef std::complex<T> value_type;
static inline
value_type apply_on(const std::complex<T>& rhs) {
return std::conj(rhs);
}
static
void print_xpr(std::ostream& os, int l=0) {
os << IndentLevel(l) << "Fcnl_conj<T="
<< typeid(std::complex<T>).name() << ">,"
<< std::endl;
}
};
/** \class Fcnl_real< std::complex<T> > UnaryFunctionals.h "tvmet/UnaryFunctionals.h" */
/** \class Fcnl_imag< std::complex<T> > UnaryFunctionals.h "tvmet/UnaryFunctionals.h" */
#define TVMET_IMPLEMENT_MACRO(NAME) \
template <class T> struct Fcnl_##NAME; \
template <class T> \
struct Fcnl_##NAME< std::complex<T> > : public UnaryFunctional { \
typedef T value_type; \
\
static inline \
value_type apply_on(const std::complex<T>& rhs) { \
return TVMET_STD_SCOPE(NAME)(rhs); \
} \
\
static \
void print_xpr(std::ostream& os, int l=0) { \
os << IndentLevel(l) << "Fcnl_" << #NAME << "<T=" \
<< typeid(std::complex<T>).name() << ">," \
<< std::endl; \
} \
};
TVMET_IMPLEMENT_MACRO(real)
TVMET_IMPLEMENT_MACRO(imag)
#undef TVMET_IMPLEMENT_MACRO
#endif // defined(EIGEN_USE_COMPLEX)
} // namespace tvmet
#endif // TVMET_UNARY_FUNCTIONAL_H
// Local Variables:
// mode:C++
// End:

317
tvmet-1.7.1/include/tvmet/Vector.h
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@@ -1,317 +0,0 @@
/*
* Tiny Vector Matrix Library
* Dense Vector Matrix Libary of Tiny size using Expression Templates
*
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: Vector.h,v 1.44 2004/09/16 09:14:18 opetzold Exp $
*/
#ifndef TVMET_VECTOR_H
#define TVMET_VECTOR_H
#include <iterator> // reverse_iterator
#include <cassert>
#include <tvmet/tvmet.h>
#include <tvmet/TypePromotion.h>
#include <tvmet/CommaInitializer.h>
#include <tvmet/xpr/Vector.h>
namespace tvmet {
/* forwards */
template<class T, int Sz> class Vector;
/**
* \class VectorConstRef Vector.h "tvmet/Vector.h"
* \brief Const value iterator for ET
*/
template<class T, int Sz>
class VectorConstRef
: public TvmetBase< VectorConstRef<T, Sz> >
{
public: // types
typedef T value_type;
typedef T* pointer;
typedef const T* const_pointer;
public:
/** Dimensions. */
enum {
Size = Sz /**< The size of the vector. */
};
public:
/** Complexity counter. */
enum {
ops = Size
};
private:
VectorConstRef();
VectorConstRef& operator=(const VectorConstRef&);
public:
/** Constructor. */
explicit VectorConstRef(const Vector<T, Size>& rhs)
: m_array(rhs.array())
{ }
/** Constructor by a given memory pointer. */
explicit VectorConstRef(const_pointer data)
: m_array(data)
{ }
public: // access operators
/** access by index. */
value_type operator()(int i) const {
assert(i < Size);
return m_array[i];
}
public: // debugging Xpr parse tree
void print_xpr(std::ostream& os, int l=0) const {
os << IndentLevel(l)
<< "VectorConstRef[O=" << ops << "]<"
<< "T=" << typeid(T).name() << ">,"
<< std::endl;
}
private:
const_pointer _tvmet_restrict m_array;
};
/**
* \class Vector Vector.h "tvmet/Vector.h"
* \brief Compile time fixed length vector with evaluation on compile time.
*/
template<class T, int Size>
class Vector
{
public:
/** Data type of the tvmet::Vector. */
typedef T value_type;
public:
/** Complexity counter. */
enum {
ops_assign = Size,
ops = ops_assign,
use_meta = ops < TVMET_COMPLEXITY_V_ASSIGN_TRIGGER ? true : false
};
public:
/** Default Destructor */
~Vector() {}
/** Default Constructor. Does nothing. */
explicit Vector() {}
/** Copy Constructor, not explicit! */
Vector(const Vector& rhs)
{
*this = XprVector<ConstRef, Size>(rhs.constRef());
}
explicit Vector(const value_type* array)
{
for(int i = 0; i < Size; i++) m_array[i] = array[i];
}
/** Construct a vector by expression. */
template <class E>
explicit Vector(const XprVector<E, Size>& e)
{
*this = e;
}
/** Assign a value_type on array, this can be used for a single value
or a comma separeted list of values. */
CommaInitializer<Vector, Size> operator=(value_type rhs) {
return CommaInitializer<Vector, Size>(*this, rhs);
}
public: // access operators
value_type* _tvmet_restrict array() { return m_array; }
const value_type* _tvmet_restrict array() const { return m_array; }
public: // index access operators
value_type& _tvmet_restrict operator()(int i) {
// Note: g++-2.95.3 does have problems on typedef reference
assert(i < Size);
return m_array[i];
}
value_type operator()(int i) const {
assert(i < Size);
return m_array[i];
}
value_type& _tvmet_restrict operator[](int i) {
// Note: g++-2.95.3 does have problems on typedef reference
return this->operator()(i);
}
value_type operator[](int i) const {
return this->operator()(i);
}
public: // ET interface
typedef VectorConstRef<T, Size> ConstRef;
/** Return a const Reference of the internal data */
ConstRef constRef() const { return ConstRef(*this); }
/** Return the vector as const expression. */
XprVector<ConstRef, Size> expr() const {
return XprVector<ConstRef, Size>(this->constRef());
}
private:
/** Wrapper for meta assign. */
template<class Dest, class Src, class Assign>
static inline
void do_assign(dispatch<true>, Dest& dest, const Src& src, const Assign& assign_fn) {
meta::Vector<Size, 0>::assign(dest, src, assign_fn);
}
/** Wrapper for loop assign. */
template<class Dest, class Src, class Assign>
static inline
void do_assign(dispatch<false>, Dest& dest, const Src& src, const Assign& assign_fn) {
loop::Vector<Size>::assign(dest, src, assign_fn);
}
public:
/** assign this to a vector expression using the functional assign_fn. */
template<class T2, class Assign>
void assign_to(Vector<T2, Size>& dest, const Assign& assign_fn) const {
do_assign(dispatch<use_meta>(), dest, *this, assign_fn);
}
public: // assign operations
/** assign a given Vector element wise to this vector.
The operator=(const Vector&) is compiler generated. */
template<class T2>
Vector& operator=(const Vector<T2, Size>& rhs) {
rhs.assign_to(*this, Fcnl_assign<value_type, T2>());
return *this;
}
/** assign a given XprVector element wise to this vector. */
template<class E>
Vector& operator=(const XprVector<E, Size>& rhs) {
rhs.assign_to(*this, Fcnl_assign<value_type, typename E::value_type>());
return *this;
}
private:
template<class Obj, int LEN> friend class CommaInitializer;
void commaWrite(int index, T rhs)
{
m_array[index] = rhs;
}
public: // math operators with scalars
// NOTE: this meaning is clear - element wise ops even if not in ns element_wise
Vector& operator+=(value_type) _tvmet_always_inline;
Vector& operator-=(value_type) _tvmet_always_inline;
Vector& operator*=(value_type) _tvmet_always_inline;
Vector& operator/=(value_type) _tvmet_always_inline;
public: // math assign operators with vectors
// NOTE: access using the operators in ns element_wise, since that's what is does
template <class T2> Vector& M_add_eq(const Vector<T2, Size>&) _tvmet_always_inline;
template <class T2> Vector& M_sub_eq(const Vector<T2, Size>&) _tvmet_always_inline;
template <class T2> Vector& M_mul_eq(const Vector<T2, Size>&) _tvmet_always_inline;
template <class T2> Vector& M_div_eq(const Vector<T2, Size>&) _tvmet_always_inline;
public: // math operators with expressions
// NOTE: access using the operators in ns element_wise, since that's what is does
template <class E> Vector& M_add_eq(const XprVector<E, Size>&) _tvmet_always_inline;
template <class E> Vector& M_sub_eq(const XprVector<E, Size>&) _tvmet_always_inline;
template <class E> Vector& M_mul_eq(const XprVector<E, Size>&) _tvmet_always_inline;
template <class E> Vector& M_div_eq(const XprVector<E, Size>&) _tvmet_always_inline;
public: // aliased math operators with expressions, used with proxy
template <class T2> Vector& alias_assign(const Vector<T2, Size>&) _tvmet_always_inline;
template <class T2> Vector& alias_add_eq(const Vector<T2, Size>&) _tvmet_always_inline;
template <class T2> Vector& alias_sub_eq(const Vector<T2, Size>&) _tvmet_always_inline;
template <class T2> Vector& alias_mul_eq(const Vector<T2, Size>&) _tvmet_always_inline;
template <class T2> Vector& alias_div_eq(const Vector<T2, Size>&) _tvmet_always_inline;
template <class E> Vector& alias_assign(const XprVector<E, Size>&) _tvmet_always_inline;
template <class E> Vector& alias_add_eq(const XprVector<E, Size>&) _tvmet_always_inline;
template <class E> Vector& alias_sub_eq(const XprVector<E, Size>&) _tvmet_always_inline;
template <class E> Vector& alias_mul_eq(const XprVector<E, Size>&) _tvmet_always_inline;
template <class E> Vector& alias_div_eq(const XprVector<E, Size>&) _tvmet_always_inline;
public: // io
/** Structure for info printing as Vector<T, Size>. */
struct Info : public TvmetBase<Info> {
std::ostream& print_xpr(std::ostream& os) const {
os << "Vector<T=" << typeid(value_type).name()
<< ", Sz=" << Size << ">";
return os;
}
};
/** Get an info object of this vector. */
static Info info() { return Info(); }
/** Member function for expression level printing. */
std::ostream& print_xpr(std::ostream& os, int l=0) const;
/** Member function for printing internal data. */
std::ostream& print_on(std::ostream& os) const;
private:
/** The data of vector self. */
value_type m_array[Size];
};
typedef Vector<int, 2> Vector2i;
typedef Vector<int, 3> Vector3i;
typedef Vector<int, 4> Vector4i;
typedef Vector<float, 2> Vector2f;
typedef Vector<float, 3> Vector3f;
typedef Vector<float, 4> Vector4f;
typedef Vector<double, 2> Vector2d;
typedef Vector<double, 3> Vector3d;
typedef Vector<double, 4> Vector4d;
} // namespace tvmet
#include <tvmet/VectorImpl.h>
#include <tvmet/VectorFunctions.h>
#include <tvmet/VectorUnaryFunctions.h>
#include <tvmet/VectorOperators.h>
#include <tvmet/VectorEval.h>
#include <tvmet/AliasProxy.h>
#endif // TVMET_VECTOR_H
// Local Variables:
// mode:C++
// End:

373
tvmet-1.7.1/include/tvmet/VectorEval.h
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@@ -1,373 +0,0 @@
/*
* Tiny Vector Matrix Library
* Dense Vector Matrix Libary of Tiny size using Expression Templates
*
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: VectorEval.h,v 1.14 2003/11/30 08:26:25 opetzold Exp $
*/
#ifndef TVMET_VECTOR_EVAL_H
#define TVMET_VECTOR_EVAL_H
namespace tvmet {
/********************************************************************
* functions all_elements/any_elements
********************************************************************/
/**
* \fn bool all_elements(const XprVector<E, Sz>& e)
* \brief check on statements for all elements
* \ingroup _unary_function
* This is for use with boolean operators like
* \par Example:
* \code
* all_elements(vector > 0) {
* // true branch
* } else {
* // false branch
* }
* \endcode
* \sa \ref compare
*/
template<class E, int Sz>
inline
bool all_elements(const XprVector<E, Sz>& e) {
return meta::Vector<Sz>::all_elements(e);
}
/**
* \fn bool any_elements(const XprVector<E, Sz>& e)
* \brief check on statements for any elements
* \ingroup _unary_function
* This is for use with boolean operators like
* \par Example:
* \code
* any_elements(vector > 0) {
* // true branch
* } else {
* // false branch
* }
* \endcode
* \sa \ref compare
*/
template<class E, int Sz>
inline
bool any_elements(const XprVector<E, Sz>& e) {
return meta::Vector<Sz>::any_elements(e);
}
/*
* trinary evaluation functions with vectors and xpr of
* XprVector<E1, Sz> ? Vector<T2, Sz> : Vector<T3, Sz>
* XprVector<E1, Sz> ? Vector<T2, Sz> : XprVector<E3, Sz>
* XprVector<E1, Sz> ? XprVector<E2, Sz> : Vector<T3, Sz>
* XprVector<E1, Sz> ? XprVector<E2, Sz> : XprVector<E3, Sz>
*/
/**
* eval(const XprVector<E1, Sz>& e1, const Vector<T2, Sz>& v2, const Vector<T3, Sz>& v3)
* \brief Evals the vector expressions.
* \ingroup _trinary_function
* This eval is for the a?b:c syntax, since it's not allowed to overload
* these operators.
*/
template<class E1, class T2, class T3, int Sz>
inline
XprVector<
XprEval<
XprVector<E1, Sz>,
VectorConstRef<T2, Sz>,
VectorConstRef<T3, Sz>
>,
Sz
>
eval(const XprVector<E1, Sz>& e1, const Vector<T2, Sz>& v2, const Vector<T3, Sz>& v3) {
typedef XprEval<
XprVector<E1, Sz>,
VectorConstRef<T2, Sz>,
VectorConstRef<T3, Sz>
> expr_type;
return XprVector<expr_type, Sz>(
expr_type(e1, v2.constRef(), v3.constRef()));
}
/**
* eval(const XprVector<E1, Sz>& e1, const Vector<T2, Sz>& v2, const XprVector<E3, Sz>& e3)
* \brief Evals the vector expressions.
* \ingroup _trinary_function
* This eval is for the a?b:c syntax, since it's not allowed to overload
* these operators.
*/
template<class E1, class T2, class E3, int Sz>
inline
XprVector<
XprEval<
XprVector<E1, Sz>,
VectorConstRef<T2, Sz>,
XprVector<E3, Sz>
>,
Sz
>
eval(const XprVector<E1, Sz>& e1, const Vector<T2, Sz>& v2, const XprVector<E3, Sz>& e3) {
typedef XprEval<
XprVector<E1, Sz>,
VectorConstRef<T2, Sz>,
XprVector<E3, Sz>
> expr_type;
return XprVector<expr_type, Sz>(
expr_type(e1, v2.constRef(), e3));
}
/**
* eval(const XprVector<E1, Sz>& e1, const XprVector<E2, Sz>& e2, const Vector<T3, Sz>& v3)
* \brief Evals the vector expressions.
* \ingroup _trinary_function
* This eval is for the a?b:c syntax, since it's not allowed to overload
* these operators.
*/
template<class E1, class E2, class T3, int Sz>
inline
XprVector<
XprEval<
XprVector<E1, Sz>,
XprVector<E2, Sz>,
VectorConstRef<T3, Sz>
>,
Sz
>
eval(const XprVector<E1, Sz>& e1, const XprVector<E2, Sz>& e2, const Vector<T3, Sz>& v3) {
typedef XprEval<
XprVector<E1, Sz>,
XprVector<E2, Sz>,
VectorConstRef<T3, Sz>
> expr_type;
return XprVector<expr_type, Sz>(
expr_type(e1, e2, v3.constRef()));
}
/**
* eval(const XprVector<E1, Sz>& e1, const XprVector<E2, Sz>& e2, const XprVector<E3, Sz>& e3)
* \brief Evals the vector expressions.
* \ingroup _trinary_function
* This eval is for the a?b:c syntax, since it's not allowed to overload
* these operators.
*/
template<class E1, class E2, class E3, int Sz>
inline
XprVector<
XprEval<
XprVector<E1, Sz>,
XprVector<E2, Sz>,
XprVector<E3, Sz>
>,
Sz
>
eval(const XprVector<E1, Sz>& e1, const XprVector<E2, Sz>& e2, const XprVector<E3, Sz>& e3) {
typedef XprEval<
XprVector<E1, Sz>,
XprVector<E2, Sz>,
XprVector<E3, Sz>
> expr_type;
return XprVector<expr_type, Sz>(expr_type(e1, e2, e3));
}
/*
* trinary evaluation functions with vectors, xpr of and POD
*
* XprVector<E, Sz> ? POD1 : POD2
* XprVector<E1, Sz> ? POD : XprVector<E3, Sz>
* XprVector<E1, Sz> ? XprVector<E2, Sz> : POD
*/
#define TVMET_IMPLEMENT_MACRO(POD) \
template<class E, int Sz> \
inline \
XprVector< \
XprEval< \
XprVector<E, Sz>, \
XprLiteral< POD >, \
XprLiteral< POD > \
>, \
Sz \
> \
eval(const XprVector<E, Sz>& e, POD x2, POD x3) { \
typedef XprEval< \
XprVector<E, Sz>, \
XprLiteral< POD >, \
XprLiteral< POD > \
> expr_type; \
return XprVector<expr_type, Sz>( \
expr_type(e, XprLiteral< POD >(x2), XprLiteral< POD >(x3))); \
} \
\
template<class E1, class E3, int Sz> \
inline \
XprVector< \
XprEval< \
XprVector<E1, Sz>, \
XprLiteral< POD >, \
XprVector<E3, Sz> \
>, \
Sz \
> \
eval(const XprVector<E1, Sz>& e1, POD x2, const XprVector<E3, Sz>& e3) { \
typedef XprEval< \
XprVector<E1, Sz>, \
XprLiteral< POD >, \
XprVector<E3, Sz> \
> expr_type; \
return XprVector<expr_type, Sz>( \
expr_type(e1, XprLiteral< POD >(x2), e3)); \
} \
\
template<class E1, class E2, int Sz> \
inline \
XprVector< \
XprEval< \
XprVector<E1, Sz>, \
XprVector<E2, Sz>, \
XprLiteral< POD > \
>, \
Sz \
> \
eval(const XprVector<E1, Sz>& e1, const XprVector<E2, Sz>& e2, POD x3) { \
typedef XprEval< \
XprVector<E1, Sz>, \
XprVector<E2, Sz>, \
XprLiteral< POD > \
> expr_type; \
return XprVector<expr_type, Sz>( \
expr_type(e1, e2, XprLiteral< POD >(x3))); \
}
TVMET_IMPLEMENT_MACRO(int)
TVMET_IMPLEMENT_MACRO(float)
TVMET_IMPLEMENT_MACRO(double)
#undef TVMET_IMPLEMENT_MACRO
/*
* trinary evaluation functions with vectors, xpr of and complex<> types
*
* XprVector<E, Sz> e, std::complex<T> z2, std::complex<T> z3
* XprVector<E1, Sz> e1, std::complex<T> z2, XprVector<E3, Sz> e3
* XprVector<E1, Sz> e1, XprVector<E2, Sz> e2, std::complex<T> z3
*/
#if defined(EIGEN_USE_COMPLEX)
/**
* eval(const XprVector<E, Sz>& e, std::complex<T> z2, std::complex<T> z3)
* \brief Evals the vector expressions.
* \ingroup _trinary_function
* This eval is for the a?b:c syntax, since it's not allowed to overload
* these operators.
*/
template<class E, int Sz, class T>
inline
XprVector<
XprEval<
XprVector<E, Sz>,
XprLiteral< std::complex<T> >,
XprLiteral< std::complex<T> >
>,
Sz
>
eval(const XprVector<E, Sz>& e, std::complex<T> z2, std::complex<T> z3) {
typedef XprEval<
XprVector<E, Sz>,
XprLiteral< std::complex<T> >,
XprLiteral< std::complex<T> >
> expr_type;
return XprVector<expr_type, Sz>(
expr_type(e, XprLiteral< std::complex<T> >(z2), XprLiteral< std::complex<T> >(z3)));
}
/**
* eval(const XprVector<E1, Sz>& e1, std::complex<T> z2, const XprVector<E3, Sz>& e3)
* \brief Evals the vector expressions.
* \ingroup _trinary_function
* This eval is for the a?b:c syntax, since it's not allowed to overload
* these operators.
*/
template<class E1, class E3, int Sz, class T>
inline
XprVector<
XprEval<
XprVector<E1, Sz>,
XprLiteral< std::complex<T> >,
XprVector<E3, Sz>
>,
Sz
>
eval(const XprVector<E1, Sz>& e1, std::complex<T> z2, const XprVector<E3, Sz>& e3) {
typedef XprEval<
XprVector<E1, Sz>,
XprLiteral< std::complex<T> >,
XprVector<E3, Sz>
> expr_type;
return XprVector<expr_type, Sz>(
expr_type(e1, XprLiteral< std::complex<T> >(z2), e3));
}
/**
* eval(const XprVector<E1, Sz>& e1, const XprVector<E2, Sz>& e2, std::complex<T> z3)
* \brief Evals the vector expressions.
* \ingroup _trinary_function
* This eval is for the a?b:c syntax, since it's not allowed to overload
* these operators.
*/
template<class E1, class E2, int Sz, class T>
inline
XprVector<
XprEval<
XprVector<E1, Sz>,
XprVector<E2, Sz>,
XprLiteral< std::complex<T> >
>,
Sz
>
eval(const XprVector<E1, Sz>& e1, const XprVector<E2, Sz>& e2, std::complex<T> z3) {
typedef XprEval<
XprVector<E1, Sz>,
XprVector<E2, Sz>,
XprLiteral< std::complex<T> >
> expr_type;
return XprVector<expr_type, Sz>(
expr_type(e1, e2, XprLiteral< std::complex<T> >(z3)));
}
#endif // defined(EIGEN_USE_COMPLEX)
} // namespace tvmet
#endif // TVMET_VECTOR_EVAL_H
// Local Variables:
// mode:C++
// End:

854
tvmet-1.7.1/include/tvmet/VectorFunctions.h
View File

@@ -1,854 +0,0 @@
/*
* Tiny Vector Matrix Library
* Dense Vector Matrix Libary of Tiny size using Expression Templates
*
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: VectorFunctions.h,v 1.32 2004/07/06 09:45:54 opetzold Exp $
*/
#ifndef TVMET_VECTOR_FUNCTIONS_H
#define TVMET_VECTOR_FUNCTIONS_H
#include <tvmet/Extremum.h>
namespace tvmet {
/*********************************************************
* PART I: DECLARATION
*********************************************************/
/*++++++++++++++++++++++++++++++++++++++++++++++++++++++++
* Vector arithmetic functions add, sub, mul and div
*+++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
/*
* function(Vector<T1, Sz>, Vector<T2, Sz>)
* function(Vector<T, Sz>, XprVector<E, Sz>)
* function(XprVector<E, Sz>, Vector<T, Sz>)
*/
#define TVMET_DECLARE_MACRO(NAME) \
template<class T1, class T2, int Sz> \
XprVector< \
XprBinOp< \
Fcnl_##NAME<T1, T2>, \
VectorConstRef<T1, Sz>, \
VectorConstRef<T2, Sz> \
>, \
Sz \
> \
NAME (const Vector<T1, Sz>& lhs, \
const Vector<T2, Sz>& rhs) _tvmet_always_inline; \
\
template<class E, class T, int Sz> \
XprVector< \
XprBinOp< \
Fcnl_##NAME<typename E::value_type, T>, \
XprVector<E, Sz>, \
VectorConstRef<T, Sz> \
>, \
Sz \
> \
NAME (const XprVector<E, Sz>& lhs, \
const Vector<T, Sz>& rhs) _tvmet_always_inline; \
\
template<class E, class T, int Sz> \
XprVector< \
XprBinOp< \
Fcnl_##NAME<T, typename E::value_type>, \
VectorConstRef<T, Sz>, \
XprVector<E, Sz> \
>, \
Sz \
> \
NAME (const Vector<T, Sz>& lhs, \
const XprVector<E, Sz>& rhs) _tvmet_always_inline;
TVMET_DECLARE_MACRO(add) // per se element wise
TVMET_DECLARE_MACRO(sub) // per se element wise
TVMET_DECLARE_MACRO(mul) // per se element wise
namespace element_wise {
TVMET_DECLARE_MACRO(div) // not defined for vectors
}
#undef TVMET_DECLARE_MACRO
/*
* function(Vector<T, Sz>, POD)
* function(POD, Vector<T, Sz>)
* Note: - operations +,-,*,/ are per se element wise
*/
#define TVMET_DECLARE_MACRO(NAME, POD) \
template<class T, int Sz> \
XprVector< \
XprBinOp< \
Fcnl_##NAME< T, POD >, \
VectorConstRef<T, Sz>, \
XprLiteral< POD > \
>, \
Sz \
> \
NAME (const Vector<T, Sz>& lhs, \
POD rhs) _tvmet_always_inline; \
\
template<class T, int Sz> \
XprVector< \
XprBinOp< \
Fcnl_##NAME< POD, T>, \
XprLiteral< POD >, \
VectorConstRef<T, Sz> \
>, \
Sz \
> \
NAME (POD lhs, \
const Vector<T, Sz>& rhs) _tvmet_always_inline;
TVMET_DECLARE_MACRO(add, int)
TVMET_DECLARE_MACRO(sub, int)
TVMET_DECLARE_MACRO(mul, int)
TVMET_DECLARE_MACRO(div, int)
TVMET_DECLARE_MACRO(add, float)
TVMET_DECLARE_MACRO(sub, float)
TVMET_DECLARE_MACRO(mul, float)
TVMET_DECLARE_MACRO(div, float)
TVMET_DECLARE_MACRO(add, double)
TVMET_DECLARE_MACRO(sub, double)
TVMET_DECLARE_MACRO(mul, double)
TVMET_DECLARE_MACRO(div, double)
#undef TVMET_DECLARE_MACRO
#if defined(EIGEN_USE_COMPLEX)
/*
* function(Vector<std::complex<T>, Sz>, std::complex<T>)
* function(std::complex<T>, Vector<std::complex<T>, Sz>)
* Note: per se element wise
* \todo type promotion
*/
#define TVMET_DECLARE_MACRO(NAME) \
template<class T, int Sz> \
XprVector< \
XprBinOp< \
Fcnl_##NAME< std::complex<T>, std::complex<T> >, \
VectorConstRef< std::complex<T>, Sz>, \
XprLiteral< std::complex<T> > \
>, \
Sz \
> \
NAME (const Vector<std::complex<T>, Sz>& lhs, \
const std::complex<T>& rhs) _tvmet_always_inline; \
\
template<class T, int Sz> \
XprVector< \
XprBinOp< \
Fcnl_##NAME< std::complex<T>, std::complex<T> >, \
XprLiteral< std::complex<T> >, \
VectorConstRef< std::complex<T>, Sz> \
>, \
Sz \
> \
NAME (const std::complex<T>& lhs, \
const Vector< std::complex<T>, Sz>& rhs) _tvmet_always_inline;
TVMET_DECLARE_MACRO(add)
TVMET_DECLARE_MACRO(sub)
TVMET_DECLARE_MACRO(mul)
TVMET_DECLARE_MACRO(div)
#undef TVMET_DECLARE_MACRO
#endif // defined(EIGEN_USE_COMPLEX)
/*++++++++++++++++++++++++++++++++++++++++++++++++++++++++
* vector specific functions
*+++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
template<class T, int Sz>
typename Traits<T>::sum_type
sum(const Vector<T, Sz>& v) _tvmet_always_inline;
template<class T, int Sz>
typename Traits<T>::sum_type
product(const Vector<T, Sz>& v) _tvmet_always_inline;
template<class T1, class T2, int Sz>
typename PromoteTraits<T1, T2>::value_type
dot(const Vector<T1, Sz>& lhs,
const Vector<T2, Sz>& rhs) _tvmet_always_inline;
template<class T1, class T2>
Vector<typename PromoteTraits<T1, T2>::value_type, 3>
cross(const Vector<T1, 3>& lhs,
const Vector<T2, 3>& rhs) _tvmet_always_inline;
template<class T, int Sz>
typename Traits<T>::sum_type
norm1(const Vector<T, Sz>& v) _tvmet_always_inline;
template<class T, int Sz>
typename Traits<T>::sum_type
norm2(const Vector<T, Sz>& v) _tvmet_always_inline;
template<class T, int Sz>
XprVector<
XprBinOp<
Fcnl_div<T, T>,
VectorConstRef<T, Sz>,
XprLiteral< T >
>,
Sz
>
normalize(const Vector<T, Sz>& v) _tvmet_always_inline;
/*++++++++++++++++++++++++++++++++++++++++++++++++++++++++
* min/max unary functions
*+++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
template<class E, int Sz>
Extremum<typename E::value_type, int, vector_tag>
maximum(const XprVector<E, Sz>& e); // NOT _tvmet_always_inline;
template<class T, int Sz>
Extremum<T, int, vector_tag>
maximum(const Vector<T, Sz>& v) _tvmet_always_inline;
template<class E, int Sz>
Extremum<typename E::value_type, int, vector_tag>
minimum(const XprVector<E, Sz>& e); // NOT _tvmet_always_inline;
template<class T, int Sz>
Extremum<T, int, vector_tag>
minimum(const Vector<T, Sz>& v) _tvmet_always_inline;
template<class E, int Sz>
typename E::value_type
max(const XprVector<E, Sz>& e); // NOT _tvmet_always_inline;
template<class T, int Sz>
T max(const Vector<T, Sz>& v) _tvmet_always_inline;
template<class E, int Sz>
typename E::value_type
min(const XprVector<E, Sz>& e); // NOT _tvmet_always_inline;
template<class T, int Sz>
T min(const Vector<T, Sz>& v) _tvmet_always_inline;
template<class T, int Sz>
XprVector<
VectorConstRef<T, Sz>,
Sz
>
cvector_ref(const T* mem) _tvmet_always_inline;
/*********************************************************
* PART II: IMPLEMENTATION
*********************************************************/
/*++++++++++++++++++++++++++++++++++++++++++++++++++++++++
* Vector arithmetic functions add, sub, mul and div
*+++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
/*
* function(Vector<T1, Sz>, Vector<T2, Sz>)
* function(Vector<T, Sz>, XprVector<E, Sz>)
* function(XprVector<E, Sz>, Vector<T, Sz>)
*/
#define TVMET_IMPLEMENT_MACRO(NAME) \
template<class T1, class T2, int Sz> \
inline \
XprVector< \
XprBinOp< \
Fcnl_##NAME<T1, T2>, \
VectorConstRef<T1, Sz>, \
VectorConstRef<T2, Sz> \
>, \
Sz \
> \
NAME (const Vector<T1, Sz>& lhs, const Vector<T2, Sz>& rhs) { \
typedef XprBinOp < \
Fcnl_##NAME<T1, T2>, \
VectorConstRef<T1, Sz>, \
VectorConstRef<T2, Sz> \
> expr_type; \
return XprVector<expr_type, Sz>( \
expr_type(lhs.constRef(), rhs.constRef())); \
} \
\
template<class E, class T, int Sz> \
inline \
XprVector< \
XprBinOp< \
Fcnl_##NAME<typename E::value_type, T>, \
XprVector<E, Sz>, \
VectorConstRef<T, Sz> \
>, \
Sz \
> \
NAME (const XprVector<E, Sz>& lhs, const Vector<T, Sz>& rhs) { \
typedef XprBinOp< \
Fcnl_##NAME<typename E::value_type, T>, \
XprVector<E, Sz>, \
VectorConstRef<T, Sz> \
> expr_type; \
return XprVector<expr_type, Sz>( \
expr_type(lhs, rhs.constRef())); \
} \
\
template<class E, class T, int Sz> \
inline \
XprVector< \
XprBinOp< \
Fcnl_##NAME<T, typename E::value_type>, \
VectorConstRef<T, Sz>, \
XprVector<E, Sz> \
>, \
Sz \
> \
NAME (const Vector<T, Sz>& lhs, const XprVector<E, Sz>& rhs) { \
typedef XprBinOp< \
Fcnl_##NAME<T, typename E::value_type>, \
VectorConstRef<T, Sz>, \
XprVector<E, Sz> \
> expr_type; \
return XprVector<expr_type, Sz>( \
expr_type(lhs.constRef(), rhs)); \
}
TVMET_IMPLEMENT_MACRO(add) // per se element wise
TVMET_IMPLEMENT_MACRO(sub) // per se element wise
TVMET_IMPLEMENT_MACRO(mul) // per se element wise
namespace element_wise {
TVMET_IMPLEMENT_MACRO(div) // not defined for vectors
}
#undef TVMET_IMPLEMENT_MACRO
/*
* function(Vector<T, Sz>, POD)
* function(POD, Vector<T, Sz>)
* Note: - operations +,-,*,/ are per se element wise
*/
#define TVMET_IMPLEMENT_MACRO(NAME, POD) \
template<class T, int Sz> \
inline \
XprVector< \
XprBinOp< \
Fcnl_##NAME< T, POD >, \
VectorConstRef<T, Sz>, \
XprLiteral< POD > \
>, \
Sz \
> \
NAME (const Vector<T, Sz>& lhs, POD rhs) { \
typedef XprBinOp< \
Fcnl_##NAME<T, POD >, \
VectorConstRef<T, Sz>, \
XprLiteral< POD > \
> expr_type; \
return XprVector<expr_type, Sz>( \
expr_type(lhs.constRef(), XprLiteral< POD >(rhs))); \
} \
\
template<class T, int Sz> \
inline \
XprVector< \
XprBinOp< \
Fcnl_##NAME< POD, T>, \
XprLiteral< POD >, \
VectorConstRef<T, Sz> \
>, \
Sz \
> \
NAME (POD lhs, const Vector<T, Sz>& rhs) { \
typedef XprBinOp< \
Fcnl_##NAME< POD, T>, \
XprLiteral< POD >, \
VectorConstRef<T, Sz> \
> expr_type; \
return XprVector<expr_type, Sz>( \
expr_type(XprLiteral< POD >(lhs), rhs.constRef())); \
}
TVMET_IMPLEMENT_MACRO(add, int)
TVMET_IMPLEMENT_MACRO(sub, int)
TVMET_IMPLEMENT_MACRO(mul, int)
TVMET_IMPLEMENT_MACRO(div, int)
TVMET_IMPLEMENT_MACRO(add, float)
TVMET_IMPLEMENT_MACRO(sub, float)
TVMET_IMPLEMENT_MACRO(mul, float)
TVMET_IMPLEMENT_MACRO(div, float)
TVMET_IMPLEMENT_MACRO(add, double)
TVMET_IMPLEMENT_MACRO(sub, double)
TVMET_IMPLEMENT_MACRO(mul, double)
TVMET_IMPLEMENT_MACRO(div, double)
#undef TVMET_IMPLEMENT_MACRO
#if defined(EIGEN_USE_COMPLEX)
/*
* function(Vector<std::complex<T>, Sz>, std::complex<T>)
* function(std::complex<T>, Vector<std::complex<T>, Sz>)
* Note: per se element wise
* \todo type promotion
*/
#define TVMET_IMPLEMENT_MACRO(NAME) \
template<class T, int Sz> \
inline \
XprVector< \
XprBinOp< \
Fcnl_##NAME< std::complex<T>, std::complex<T> >, \
VectorConstRef< std::complex<T>, Sz>, \
XprLiteral< std::complex<T> > \
>, \
Sz \
> \
NAME (const Vector<std::complex<T>, Sz>& lhs, const std::complex<T>& rhs) { \
typedef XprBinOp< \
Fcnl_##NAME< std::complex<T>, std::complex<T> >, \
VectorConstRef< std::complex<T>, Sz>, \
XprLiteral< std::complex<T> > \
> expr_type; \
return XprVector<expr_type, Sz>( \
expr_type(lhs.constRef(), XprLiteral< std::complex<T> >(rhs))); \
} \
\
template<class T, int Sz> \
inline \
XprVector< \
XprBinOp< \
Fcnl_##NAME< std::complex<T>, std::complex<T> >, \
XprLiteral< std::complex<T> >, \
VectorConstRef< std::complex<T>, Sz> \
>, \
Sz \
> \
NAME (const std::complex<T>& lhs, const Vector< std::complex<T>, Sz>& rhs) { \
typedef XprBinOp< \
Fcnl_##NAME< std::complex<T>, std::complex<T> >, \
XprLiteral< std::complex<T> >, \
VectorConstRef< std::complex<T>, Sz> \
> expr_type; \
return XprVector<expr_type, Sz>( \
expr_type(XprLiteral< std::complex<T> >(lhs), rhs.constRef())); \
}
TVMET_IMPLEMENT_MACRO(add)
TVMET_IMPLEMENT_MACRO(sub)
TVMET_IMPLEMENT_MACRO(mul)
TVMET_IMPLEMENT_MACRO(div)
#undef TVMET_IMPLEMENT_MACRO
#endif // defined(EIGEN_USE_COMPLEX)
/*++++++++++++++++++++++++++++++++++++++++++++++++++++++++
* vector specific functions
*+++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
/**
* \fn sum(const Vector<T, Sz>& v)
* \brief Compute the sum of the vector.
* \ingroup _unary_function
*
* Simply compute the sum of the given vector as:
* \f[
* \sum_{i = 0}^{Sz-1} v[i]
* \f]
*/
template<class T, int Sz>
inline
typename Traits<T>::sum_type
sum(const Vector<T, Sz>& v) {
return meta::Vector<Sz>::sum(v);
}
/**
* \fn product(const Vector<T, Sz>& v)
* \brief Compute the product of the vector elements.
* \ingroup _unary_function
*
* Simply computer the product of the given vector as:
* \f[
* \prod_{i = 0}^{Sz - 1} v[i]
* \f]
*/
template<class T, int Sz>
inline
typename Traits<T>::sum_type
product(const Vector<T, Sz>& v) {
return meta::Vector<Sz>::product(v);
}
/**
* \fn dot(const Vector<T1, Sz>& lhs, const Vector<T2, Sz>& rhs)
* \brief Compute the dot/inner product
* \ingroup _binary_function
*
* Compute the dot product as:
* \f[
* \sum_{i = 0}^{Sz - 1} ( lhs[i] * rhs[i] )
* \f]
* where lhs is a column vector and rhs is a row vector, both vectors
* have the same dimension.
*/
template<class T1, class T2, int Sz>
inline
typename PromoteTraits<T1, T2>::value_type
dot(const Vector<T1, Sz>& lhs, const Vector<T2, Sz>& rhs) {
return meta::Vector<Sz>::dot(lhs, rhs);
}
/**
* \fn cross(const Vector<T1, 3>& lhs, const Vector<T2, 3>& rhs)
* \brief Compute the cross/outer product
* \ingroup _binary_function
* \note working only for vectors of size = 3
* \todo Implement vector outer product as ET and MT, returning a XprVector
*/
template<class T1, class T2>
inline
Vector<typename PromoteTraits<T1, T2>::value_type, 3>
cross(const Vector<T1, 3>& lhs, const Vector<T2, 3>& rhs) {
typedef typename PromoteTraits<T1, T2>::value_type value_type;
return Vector<value_type, 3>(lhs(1)*rhs(2) - rhs(1)*lhs(2),
rhs(0)*lhs(2) - lhs(0)*rhs(2),
lhs(0)*rhs(1) - rhs(0)*lhs(1));
}
/**
* \fn norm1(const Vector<T, Sz>& v)
* \brief The \f$l_1\f$ norm of a vector v.
* \ingroup _unary_function
* The norm of any vector is just the square root of the dot product of
* a vector with itself, or
*
* \f[
* |Vector<T, Sz> v| = |v| = \sum_{i=0}^{Sz-1}\,|v[i]|
* \f]
*/
template<class T, int Sz>
inline
typename Traits<T>::sum_type
norm1(const Vector<T, Sz>& v) {
return sum(abs(v));
}
/**
* \fn norm2(const Vector<T, Sz>& v)
* \brief The euklidian norm (or \f$l_2\f$ norm) of a vector v.
* \ingroup _unary_function
* The norm of any vector is just the square root of the dot product of
* a vector with itself, or
*
* \f[
* |Vector<T, Sz> v| = |v| = \sqrt{ \sum_{i=0}^{Sz-1}\,v[i]^2 }
* \f]
*
* \note The internal cast for Vector<int> avoids warnings on sqrt.
*/
template<class T, int Sz>
inline
typename Traits<T>::sum_type
norm2(const Vector<T, Sz>& v) {
return static_cast<T>( std::sqrt(static_cast<typename Traits<T>::float_type>(dot(v, v))) );
}
/**
* \fn normalize(const Vector<T, Sz>& v)
* \brief Normalize the given vector.
* \ingroup _unary_function
* \sa norm2
*
* using the equation:
* \f[
* \frac{Vector<T, Sz> v}{\sqrt{ \sum_{i=0}^{Sz-1}\,v[i]^2 }}
* \f]
*/
template<class T, int Sz>
inline
XprVector<
XprBinOp<
Fcnl_div<T, T>,
VectorConstRef<T, Sz>,
XprLiteral< T >
>,
Sz
>
normalize(const Vector<T, Sz>& v) {
typedef XprBinOp<
Fcnl_div<T, T>,
VectorConstRef<T, Sz>,
XprLiteral< T >
> expr_type;
return XprVector<expr_type, Sz>(
expr_type(v.constRef(), XprLiteral< T >(norm2(v))));
}
/*++++++++++++++++++++++++++++++++++++++++++++++++++++++++
* min/max unary functions
*+++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
/**
* \fn maximum(const XprVector<E, Sz>& e)
* \brief Find the maximum of a vector expression
* \ingroup _unary_function
*/
template<class E, int Sz>
inline
Extremum<typename E::value_type, int, vector_tag>
maximum(const XprVector<E, Sz>& e) {
typedef typename E::value_type value_type;
value_type m_max(e(0));
int m_idx(0);
// this loop is faster than meta templates!
for(int i = 1; i != Sz; ++i) {
if(e(i) > m_max) {
m_max = e(i);
m_idx = i;
}
}
return Extremum<value_type, int, vector_tag>(m_max, m_idx);
}
/**
* \fn maximum(const Vector<T, Sz>& v)
* \brief Find the maximum of a vector
* \ingroup _unary_function
*/
template<class T, int Sz>
inline
Extremum<T, int, vector_tag>
maximum(const Vector<T, Sz>& v) { return maximum(v.expr()); }
/**
* \fn minimum(const XprVector<E, Sz>& e)
* \brief Find the minimum of a vector expression
* \ingroup _unary_function
*/
template<class E, int Sz>
inline
Extremum<typename E::value_type, int, vector_tag>
minimum(const XprVector<E, Sz>& e) {
typedef typename E::value_type value_type;
value_type m_min(e(0));
int m_idx(0);
// this loop is faster than meta templates!
for(int i = 1; i != Sz; ++i) {
if(e(i) < m_min) {
m_min = e(i);
m_idx = i;
}
}
return Extremum<value_type, int, vector_tag>(m_min, m_idx);
}
/**
* \fn minimum(const Vector<T, Sz>& v)
* \brief Find the minimum of a vector
* \ingroup _unary_function
*/
template<class T, int Sz>
inline
Extremum<T, int, vector_tag>
minimum(const Vector<T, Sz>& v) { return minimum(v.expr()); }
/**
* \fn max(const XprVector<E, Sz>& e)
* \brief Find the maximum of a vector expression
* \ingroup _unary_function
*/
template<class E, int Sz>
inline
typename E::value_type
max(const XprVector<E, Sz>& e) {
typedef typename E::value_type value_type;
value_type m_max(e(0));
// this loop is faster than meta templates!
for(int i = 1; i != Sz; ++i)
if(e(i) > m_max)
m_max = e(i);
return m_max;
}
/**
* \fn max(const Vector<T, Sz>& v)
* \brief Find the maximum of a vector
* \ingroup _unary_function
*/
template<class T, int Sz>
inline
T max(const Vector<T, Sz>& v) {
typedef T value_type;
typedef typename Vector<T, Sz>::const_iterator const_iterator;
const_iterator iter(v.begin());
const_iterator last(v.end());
value_type temp(*iter);
for( ; iter != last; ++iter)
if(*iter > temp)
temp = *iter;
return temp;
}
/**
* \fn min(const XprVector<E, Sz>& e)
* \brief Find the minimum of a vector expression
* \ingroup _unary_function
*/
template<class E, int Sz>
inline
typename E::value_type
min(const XprVector<E, Sz>& e) {
typedef typename E::value_type value_type;
value_type m_min(e(0));
// this loop is faster than meta templates!
for(int i = 1; i != Sz; ++i)
if(e(i) < m_min)
m_min = e(i);
return m_min;
}
/**
* \fn min(const Vector<T, Sz>& v)
* \brief Find the minimum of a vector
* \ingroup _unary_function
*/
template<class T, int Sz>
inline
T min(const Vector<T, Sz>& v) {
typedef T value_type;
typedef typename Vector<T, Sz>::const_iterator const_iterator;
const_iterator iter(v.begin());
const_iterator last(v.end());
value_type temp(*iter);
for( ; iter != last; ++iter)
if(*iter < temp)
temp = *iter;
return temp;
}
/**
* \fn cvector_ref(const T* mem)
* \brief Creates an expression wrapper for a C like vector arrays.
* \ingroup _unary_function
*
* This is like creating a vector of external data, as described
* at \ref construct. With this function you wrap an expression
* around a C style vector array and you can operate directly with it
* as usual.
*
* \par Example:
* \code
* static float vertices[N][3] = {
* {-1, 0, 1}, { 1, 0, 1}, ...
* };
* ...
* typedef Vector<float, 3> vector_type;
* ...
* vector_type V( cross(cvector_ref<float, 3>(&vertices[0][0]),
* cvector_ref<float, 3>(&vertices[1][0])) );
* \endcode
*
* \since release 1.6.0
*/
template<class T, int Sz>
inline
XprVector<
VectorConstRef<T, Sz>,
Sz
>
cvector_ref(const T* mem) {
typedef VectorConstRef<T, Sz> expr_type;
return XprVector<expr_type, Sz>(expr_type(mem));
};
} // namespace tvmet
#endif // TVMET_VECTOR_FUNCTIONS_H
// Local Variables:
// mode:C++
// End:

169
tvmet-1.7.1/include/tvmet/VectorImpl.h
View File

@@ -1,169 +0,0 @@
/*
* Tiny Vector Matrix Library
* Dense Vector Matrix Libary of Tiny size using Expression Templates
*
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: VectorImpl.h,v 1.27 2004/06/10 16:36:55 opetzold Exp $
*/
#ifndef TVMET_VECTOR_IMPL_H
#define TVMET_VECTOR_IMPL_H
#include <iomanip> // setw
#include <tvmet/Functional.h>
namespace tvmet {
/*
* member operators for i/o
*/
template<class T, int Size>
std::ostream& Vector<T, Size>::print_xpr(std::ostream& os, int l) const
{
os << IndentLevel(l++) << "Vector[" << ops << "]<"
<< typeid(T).name() << ", " << Size << ">,"
<< IndentLevel(--l)
<< std::endl;
return os;
}
template<class T, int Size>
std::ostream& Vector<T, Size>::print_on(std::ostream& os) const
{
os << "[\n ";
for(int i = 0; i < (Size - 1); ++i) {
os << m_array[i] << ", ";
}
os << m_array[Size - 1] << "\n]";
return os;
}
/*
* member operators with scalars, per se element wise
*/
#define TVMET_IMPLEMENT_MACRO(NAME, OP) \
template<class T, int Size> \
inline \
Vector<T, Size>& Vector<T, Size>::operator OP (value_type rhs) { \
typedef XprLiteral<value_type> expr_type; \
this->M_##NAME(XprVector<expr_type, Size>(expr_type(rhs))); \
return *this; \
}
TVMET_IMPLEMENT_MACRO(add_eq, +=)
TVMET_IMPLEMENT_MACRO(sub_eq, -=)
TVMET_IMPLEMENT_MACRO(mul_eq, *=)
TVMET_IMPLEMENT_MACRO(div_eq, /=)
#undef TVMET_IMPLEMENT_MACRO
/*
* member functions (operators) with vectors, for use with +=,-= ... <<=
*/
#define TVMET_IMPLEMENT_MACRO(NAME) \
template<class T1, int Size> \
template <class T2> \
inline Vector<T1, Size>& \
Vector<T1, Size>::M_##NAME (const Vector<T2, Size>& rhs) { \
this->M_##NAME( XprVector<typename Vector<T2, Size>::ConstRef, Size>(rhs.constRef()) ); \
return *this; \
}
TVMET_IMPLEMENT_MACRO(add_eq)
TVMET_IMPLEMENT_MACRO(sub_eq)
TVMET_IMPLEMENT_MACRO(mul_eq)
TVMET_IMPLEMENT_MACRO(div_eq)
#undef TVMET_IMPLEMENT_MACRO
/*
* member functions (operators) with expressions, for use with +=,-= ... <<=
*/
#define TVMET_IMPLEMENT_MACRO(NAME) \
template<class T, int Size> \
template <class E> \
inline \
Vector<T, Size>& \
Vector<T, Size>::M_##NAME (const XprVector<E, Size>& rhs) { \
rhs.assign_to(*this, Fcnl_##NAME<value_type, typename E::value_type>()); \
return *this; \
}
TVMET_IMPLEMENT_MACRO(add_eq)
TVMET_IMPLEMENT_MACRO(sub_eq)
TVMET_IMPLEMENT_MACRO(mul_eq)
TVMET_IMPLEMENT_MACRO(div_eq)
#undef TVMET_IMPLEMENT_MACRO
/*
* aliased member functions (operators) with vectors,
* for use with +=,-= ... <<=
*/
#define TVMET_IMPLEMENT_MACRO(NAME) \
template<class T1, int Size> \
template <class T2> \
inline \
Vector<T1, Size>& \
Vector<T1, Size>::alias_##NAME (const Vector<T2, Size>& rhs) { \
this->alias_##NAME( XprVector<typename Vector<T2, Size>::ConstRef, Size>(rhs.constRef()) ); \
return *this; \
}
TVMET_IMPLEMENT_MACRO(assign)
TVMET_IMPLEMENT_MACRO(add_eq)
TVMET_IMPLEMENT_MACRO(sub_eq)
TVMET_IMPLEMENT_MACRO(mul_eq)
TVMET_IMPLEMENT_MACRO(div_eq)
#undef TVMET_IMPLEMENT_MACRO
/*
* aliased member functions (operators) with expressions,
* for use with +=,-= ... <<=
*/
#define TVMET_IMPLEMENT_MACRO(NAME) \
template<class T, int Size> \
template <class E> \
inline \
Vector<T, Size>& \
Vector<T, Size>::alias_##NAME (const XprVector<E, Size>& rhs) { \
typedef Vector<T, Size> temp_type; \
temp_type(rhs).assign_to(*this, Fcnl_##NAME<value_type, typename E::value_type>()); \
return *this; \
}
TVMET_IMPLEMENT_MACRO(assign)
TVMET_IMPLEMENT_MACRO(add_eq)
TVMET_IMPLEMENT_MACRO(sub_eq)
TVMET_IMPLEMENT_MACRO(mul_eq)
TVMET_IMPLEMENT_MACRO(div_eq)
#undef TVMET_IMPLEMENT_MACRO
} // namespace tvmet
#endif // TVMET_VECTOR_IMPL_H
// Local Variables:
// mode:C++
// End:

496
tvmet-1.7.1/include/tvmet/VectorOperators.h
View File

@@ -1,496 +0,0 @@
/*
* Tiny Vector Matrix Library
* Dense Vector Matrix Libary of Tiny size using Expression Templates
*
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: VectorOperators.h,v 1.14 2004/06/10 16:36:55 opetzold Exp $
*/
#ifndef TVMET_VECTOR_OPERATORS_H
#define TVMET_VECTOR_OPERATORS_H
namespace tvmet {
/*********************************************************
* PART I: DECLARATION
*********************************************************/
template<class T, int Sz>
inline
std::ostream& operator<<(std::ostream& os,
const Vector<T, Sz>& rhs) _tvmet_always_inline;
/*++++++++++++++++++++++++++++++++++++++++++++++++++++++++
* Member operators (arithmetic and bit ops)
*+++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
/*
* update_operator(Vector<T1, Sz>, Vector<T2, Sz>)
* update_operator(Vector<T1, Sz>, XprVector<E, Sz>)
* Note: per se element wise
*/
#define TVMET_DECLARE_MACRO(NAME, OP) \
template<class T1, class T2, int Sz> \
Vector<T1, Sz>& \
operator OP (Vector<T1, Sz>& lhs, \
const Vector<T2, Sz>& rhs) _tvmet_always_inline; \
\
template<class T, class E, int Sz> \
Vector<T, Sz>& \
operator OP (Vector<T, Sz>& lhs, \
const XprVector<E, Sz>& rhs) _tvmet_always_inline;
TVMET_DECLARE_MACRO(add_eq, +=) // per se element wise
TVMET_DECLARE_MACRO(sub_eq, -=) // per se element wise
TVMET_DECLARE_MACRO(mul_eq, *=) // per se element wise
namespace element_wise {
TVMET_DECLARE_MACRO(div_eq, /=) // not defined for vectors
}
#undef TVMET_DECLARE_MACRO
/*++++++++++++++++++++++++++++++++++++++++++++++++++++++++
* Vector arithmetic operators implemented by functions
* add, sub, mul and div
*+++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
/*
* operator(Vector<T1, Sz>, Vector<T2, Sz>)
* operator(Vector<T1, Sz>, XprVector<E, Sz>)
* operator(XprVector<E, Sz>, Vector<T1, Sz>)
*/
#define TVMET_DECLARE_MACRO(NAME, OP) \
template<class T1, class T2, int Sz> \
XprVector< \
XprBinOp< \
Fcnl_##NAME<T1, T2>, \
VectorConstRef<T1, Sz>, \
VectorConstRef<T2, Sz> \
>, \
Sz \
> \
operator OP (const Vector<T1, Sz>& lhs, \
const Vector<T2, Sz>& rhs) _tvmet_always_inline; \
\
template<class E, class T, int Sz> \
XprVector< \
XprBinOp< \
Fcnl_##NAME<typename E::value_type, T>, \
XprVector<E, Sz>, \
VectorConstRef<T, Sz> \
>, \
Sz \
> \
operator OP (const XprVector<E, Sz>& lhs, \
const Vector<T, Sz>& rhs) _tvmet_always_inline; \
\
template<class E, class T, int Sz> \
XprVector< \
XprBinOp< \
Fcnl_##NAME<T, typename E::value_type>, \
VectorConstRef<T, Sz>, \
XprVector<E, Sz> \
>, \
Sz \
> \
operator OP (const Vector<T, Sz>& lhs, \
const XprVector<E, Sz>& rhs) _tvmet_always_inline;
TVMET_DECLARE_MACRO(add, +) // per se element wise
TVMET_DECLARE_MACRO(sub, -) // per se element wise
TVMET_DECLARE_MACRO(mul, *) // per se element wise
namespace element_wise {
TVMET_DECLARE_MACRO(div, /) // not defined for vectors
}
#undef TVMET_DECLARE_MACRO
/*
* operator(Vector<T, Sz>, POD)
* operator(POD, Vector<T, Sz>)
* Note: operations +,-,*,/ are per se element wise
*/
#define TVMET_DECLARE_MACRO(NAME, OP, POD) \
template<class T, int Sz> \
XprVector< \
XprBinOp< \
Fcnl_##NAME< T, POD >, \
VectorConstRef<T, Sz>, \
XprLiteral< POD > \
>, \
Sz \
> \
operator OP (const Vector<T, Sz>& lhs, \
POD rhs) _tvmet_always_inline; \
\
template<class T, int Sz> \
XprVector< \
XprBinOp< \
Fcnl_##NAME< POD, T>, \
XprLiteral< POD >, \
VectorConstRef<T, Sz> \
>, \
Sz \
> \
operator OP (POD lhs, \
const Vector<T, Sz>& rhs) _tvmet_always_inline;
TVMET_DECLARE_MACRO(add, +, int)
TVMET_DECLARE_MACRO(sub, -, int)
TVMET_DECLARE_MACRO(mul, *, int)
TVMET_DECLARE_MACRO(div, /, int)
TVMET_DECLARE_MACRO(add, +, float)
TVMET_DECLARE_MACRO(sub, -, float)
TVMET_DECLARE_MACRO(mul, *, float)
TVMET_DECLARE_MACRO(div, /, float)
TVMET_DECLARE_MACRO(add, +, double)
TVMET_DECLARE_MACRO(sub, -, double)
TVMET_DECLARE_MACRO(mul, *, double)
TVMET_DECLARE_MACRO(div, /, double)
#undef TVMET_DECLARE_MACRO
#if defined(EIGEN_USE_COMPLEX)
/*
* operator(Vector<std::complex<T>, Sz>, std::complex<T>)
* operator(std::complex<T>, Vector<std::complex<T>, Sz>)
* Note: operations +,-,*,/ are per se element wise
* \todo type promotion
*/
#define TVMET_DECLARE_MACRO(NAME, OP) \
template<class T, int Sz> \
XprVector< \
XprBinOp< \
Fcnl_##NAME< std::complex<T>, std::complex<T> >, \
VectorConstRef< std::complex<T>, Sz>, \
XprLiteral< std::complex<T> > \
>, \
Sz \
> \
operator OP (const Vector<std::complex<T>, Sz>& lhs, \
const std::complex<T>& rhs) _tvmet_always_inline; \
\
template<class T, int Sz> \
XprVector< \
XprBinOp< \
Fcnl_##NAME< std::complex<T>, std::complex<T> >, \
XprLiteral< std::complex<T> >, \
VectorConstRef< std::complex<T>, Sz> \
>, \
Sz \
> \
operator OP (const std::complex<T>& lhs, \
const Vector< std::complex<T>, Sz>& rhs) _tvmet_always_inline;
TVMET_DECLARE_MACRO(add, +) // per se element wise
TVMET_DECLARE_MACRO(sub, -) // per se element wise
TVMET_DECLARE_MACRO(mul, *) // per se element wise
TVMET_DECLARE_MACRO(div, /) // per se element wise
#undef TVMET_DECLARE_MACRO
#endif // defined(EIGEN_USE_COMPLEX)
/*++++++++++++++++++++++++++++++++++++++++++++++++++++++++
* global unary operators
*+++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
/*
* unary_operator(Vector<T, Sz>)
* Note: per se element wise
*/
#define TVMET_DECLARE_MACRO(NAME, OP) \
template <class T, int Sz> \
XprVector< \
XprUnOp< \
Fcnl_##NAME<T>, \
VectorConstRef<T, Sz> \
>, \
Sz \
> \
operator OP (const Vector<T, Sz>& rhs) _tvmet_always_inline;
TVMET_DECLARE_MACRO(neg, -)
#undef TVMET_DECLARE_MACRO
/*********************************************************
* PART II: IMPLEMENTATION
*********************************************************/
/**
* \fn operator<<(std::ostream& os, const Vector<T, Sz>& rhs)
* \brief Overload operator for i/o
* \ingroup _binary_operator
*/
template<class T, int Sz>
inline
std::ostream& operator<<(std::ostream& os, const Vector<T, Sz>& rhs) {
return rhs.print_on(os);
}
/*++++++++++++++++++++++++++++++++++++++++++++++++++++++++
* Member operators (arithmetic and bit ops)
*+++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
/*
* update_operator(Vector<T1, Sz>, Vector<T2, Sz>)
* update_operator(Vector<T1, Sz>, XprVector<E, Sz>)
* Note: per se element wise
*/
#define TVMET_IMPLEMENT_MACRO(NAME, OP) \
template<class T1, class T2, int Sz> \
inline Vector<T1, Sz>& \
operator OP (Vector<T1, Sz>& lhs, const Vector<T2, Sz>& rhs) { \
return lhs.M_##NAME(rhs); \
} \
\
template<class T, class E, int Sz> \
inline Vector<T, Sz>& \
operator OP (Vector<T, Sz>& lhs, const XprVector<E, Sz>& rhs) { \
return lhs.M_##NAME(rhs); \
}
TVMET_IMPLEMENT_MACRO(add_eq, +=) // per se element wise
TVMET_IMPLEMENT_MACRO(sub_eq, -=) // per se element wise
TVMET_IMPLEMENT_MACRO(mul_eq, *=) // per se element wise
namespace element_wise {
TVMET_IMPLEMENT_MACRO(div_eq, /=) // not defined for vectors
}
#undef TVMET_IMPLEMENT_MACRO
/*++++++++++++++++++++++++++++++++++++++++++++++++++++++++
* Vector arithmetic operators implemented by functions
* add, sub, mul and div
*+++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
/*
* operator(Vector<T1, Sz>, Vector<T2, Sz>)
* operator(Vector<T1, Sz>, XprVector<E, Sz>)
* operator(XprVector<E, Sz>, Vector<T1, Sz>)
*/
#define TVMET_IMPLEMENT_MACRO(NAME, OP) \
template<class T1, class T2, int Sz> \
inline \
XprVector< \
XprBinOp< \
Fcnl_##NAME<T1, T2>, \
VectorConstRef<T1, Sz>, \
VectorConstRef<T2, Sz> \
>, \
Sz \
> \
operator OP (const Vector<T1, Sz>& lhs, const Vector<T2, Sz>& rhs) { \
return NAME (lhs, rhs); \
} \
\
template<class E, class T, int Sz> \
inline \
XprVector< \
XprBinOp< \
Fcnl_##NAME<typename E::value_type, T>, \
XprVector<E, Sz>, \
VectorConstRef<T, Sz> \
>, \
Sz \
> \
operator OP (const XprVector<E, Sz>& lhs, const Vector<T, Sz>& rhs) { \
return NAME (lhs, rhs); \
} \
\
template<class E, class T, int Sz> \
inline \
XprVector< \
XprBinOp< \
Fcnl_##NAME<T, typename E::value_type>, \
VectorConstRef<T, Sz>, \
XprVector<E, Sz> \
>, \
Sz \
> \
operator OP (const Vector<T, Sz>& lhs, const XprVector<E, Sz>& rhs) { \
return NAME (lhs, rhs); \
}
TVMET_IMPLEMENT_MACRO(add, +) // per se element wise
TVMET_IMPLEMENT_MACRO(sub, -) // per se element wise
TVMET_IMPLEMENT_MACRO(mul, *) // per se element wise
namespace element_wise {
TVMET_IMPLEMENT_MACRO(div, /) // not defined for vectors
}
#undef TVMET_IMPLEMENT_MACRO
/*
* operator(Vector<T, Sz>, POD)
* operator(POD, Vector<T, Sz>)
* Note: operations +,-,*,/ are per se element wise
*/
#define TVMET_IMPLEMENT_MACRO(NAME, OP, POD) \
template<class T, int Sz> \
inline \
XprVector< \
XprBinOp< \
Fcnl_##NAME< T, POD >, \
VectorConstRef<T, Sz>, \
XprLiteral< POD > \
>, \
Sz \
> \
operator OP (const Vector<T, Sz>& lhs, POD rhs) { \
return NAME (lhs, rhs); \
} \
\
template<class T, int Sz> \
inline \
XprVector< \
XprBinOp< \
Fcnl_##NAME< POD, T>, \
XprLiteral< POD >, \
VectorConstRef<T, Sz> \
>, \
Sz \
> \
operator OP (POD lhs, const Vector<T, Sz>& rhs) { \
return NAME (lhs, rhs); \
}
TVMET_IMPLEMENT_MACRO(add, +, int)
TVMET_IMPLEMENT_MACRO(sub, -, int)
TVMET_IMPLEMENT_MACRO(mul, *, int)
TVMET_IMPLEMENT_MACRO(div, /, int)
TVMET_IMPLEMENT_MACRO(add, +, float)
TVMET_IMPLEMENT_MACRO(sub, -, float)
TVMET_IMPLEMENT_MACRO(mul, *, float)
TVMET_IMPLEMENT_MACRO(div, /, float)
TVMET_IMPLEMENT_MACRO(add, +, double)
TVMET_IMPLEMENT_MACRO(sub, -, double)
TVMET_IMPLEMENT_MACRO(mul, *, double)
TVMET_IMPLEMENT_MACRO(div, /, double)
#undef TVMET_IMPLEMENT_MACRO
#if defined(EIGEN_USE_COMPLEX)
/*
* operator(Vector<std::complex<T>, Sz>, std::complex<T>)
* operator(std::complex<T>, Vector<std::complex<T>, Sz>)
* Note: operations +,-,*,/ are per se element wise
* \todo type promotion
*/
#define TVMET_IMPLEMENT_MACRO(NAME, OP) \
template<class T, int Sz> \
inline \
XprVector< \
XprBinOp< \
Fcnl_##NAME< std::complex<T>, std::complex<T> >, \
VectorConstRef< std::complex<T>, Sz>, \
XprLiteral< std::complex<T> > \
>, \
Sz \
> \
operator OP (const Vector<std::complex<T>, Sz>& lhs, \
const std::complex<T>& rhs) { \
return NAME (lhs, rhs); \
} \
\
template<class T, int Sz> \
inline \
XprVector< \
XprBinOp< \
Fcnl_##NAME< std::complex<T>, std::complex<T> >, \
XprLiteral< std::complex<T> >, \
VectorConstRef< std::complex<T>, Sz> \
>, \
Sz \
> \
operator OP (const std::complex<T>& lhs, \
const Vector< std::complex<T>, Sz>& rhs) { \
return NAME (lhs, rhs); \
}
TVMET_IMPLEMENT_MACRO(add, +) // per se element wise
TVMET_IMPLEMENT_MACRO(sub, -) // per se element wise
TVMET_IMPLEMENT_MACRO(mul, *) // per se element wise
TVMET_IMPLEMENT_MACRO(div, /) // per se element wise
#undef TVMET_IMPLEMENT_MACRO
#endif // defined(EIGEN_USE_COMPLEX)
/*++++++++++++++++++++++++++++++++++++++++++++++++++++++++
* global unary operators
*+++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
/*
* unary_operator(Vector<T, Sz>)
* Note: per se element wise
*/
#define TVMET_IMPLEMENT_MACRO(NAME, OP) \
template <class T, int Sz> \
inline \
XprVector< \
XprUnOp< \
Fcnl_##NAME<T>, \
VectorConstRef<T, Sz> \
>, \
Sz \
> \
operator OP (const Vector<T, Sz>& rhs) { \
typedef XprUnOp< \
Fcnl_##NAME<T>, \
VectorConstRef<T, Sz> \
> expr_type; \
return XprVector<expr_type, Sz>(expr_type(rhs.constRef())); \
}
TVMET_IMPLEMENT_MACRO(neg, -)
#undef TVMET_IMPLEMENT_MACRO
} // namespace tvmet
#endif // TVMET_VECTOR_OPERATORS_H
// Local Variables:
// mode:C++
// End:

100
tvmet-1.7.1/include/tvmet/VectorUnaryFunctions.h
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@@ -1,100 +0,0 @@
/*
* Tiny Vector Matrix Library
* Dense Vector Matrix Libary of Tiny size using Expression Templates
*
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: VectorUnaryFunctions.h,v 1.9 2004/06/10 16:36:55 opetzold Exp $
*/
#ifndef TVMET_VECTOR_UNARY_FUNCTIONS_H
#define TVMET_VECTOR_UNARY_FUNCTIONS_H
namespace tvmet {
/*********************************************************
* PART I: DECLARATION
*********************************************************/
/*
* unary_function(Vector<std::complex<T>, Sz>)
*/
#if defined(EIGEN_USE_COMPLEX)
#define TVMET_DECLARE_MACRO(NAME) \
template<class T, int Sz> \
XprVector< \
XprUnOp< \
Fcnl_##NAME< std::complex<T> >, \
VectorConstRef<std::complex<T>, Sz> \
>, \
Sz \
> \
NAME(const Vector<std::complex<T>, Sz>& rhs) _tvmet_always_inline;
TVMET_DECLARE_MACRO(real)
TVMET_DECLARE_MACRO(imag)
TVMET_DECLARE_MACRO(conj)
#undef TVMET_DECLARE_MACRO
#endif // defined(EIGEN_USE_COMPLEX)
/*********************************************************
* PART II: IMPLEMENTATION
*********************************************************/
/*
* unary_function(Vector<std::complex<T>, Sz>)
*/
#if defined(EIGEN_USE_COMPLEX)
#define TVMET_IMPLEMENT_MACRO(NAME) \
template<class T, int Sz> \
inline \
XprVector< \
XprUnOp< \
Fcnl_##NAME< std::complex<T> >, \
VectorConstRef<std::complex<T>, Sz> \
>, \
Sz \
> \
NAME(const Vector<std::complex<T>, Sz>& rhs) { \
typedef XprUnOp< \
Fcnl_##NAME< std::complex<T> >, \
VectorConstRef<std::complex<T>, Sz> \
> expr_type; \
return XprVector<expr_type, Sz>(expr_type(rhs.constRef())); \
}
TVMET_IMPLEMENT_MACRO(real)
TVMET_IMPLEMENT_MACRO(imag)
TVMET_IMPLEMENT_MACRO(conj)
#undef TVMET_IMPLEMENT_MACRO
#endif // defined(EIGEN_USE_COMPLEX)
} // namespace tvmet
#endif // TVMET_VECTOR_UNARY_FUNCTIONS_H
// Local Variables:
// mode:C++
// End:

15
tvmet-1.7.1/include/tvmet/config.h.cmake
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@@ -1,15 +0,0 @@
#ifndef _INCLUDE_TVMET_CONFIG_H
#define _INCLUDE_TVMET_CONFIG_H
/* Define to 1 if you have the <sys/time.h> header file. */
#cmakedefine TVMET_HAVE_SYS_TIME_H 1
/* Define to 1 if you have the <unistd.h> header file. */
#cmakedefine TVMET_HAVE_UNISTD_H 1
#define _tvmet_restrict @TVMET_RESTRICT_KEYWORD@
#define _tvmet_always_inline @TVMET_ALWAYS_INLINE@
/* _INCLUDE_TVMET_CONFIG_H */
#endif

6
tvmet-1.7.1/include/tvmet/loop/CMakeLists.txt
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@@ -1,6 +0,0 @@
FILE(GLOB tvmet_loop_header_SRCS "*.h")
INSTALL(FILES
${tvmet_loop_header_SRCS}
DESTINATION ${INCLUDE_INSTALL_DIR}/loop
)

114
tvmet-1.7.1/include/tvmet/loop/Gemm.h
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@@ -1,114 +0,0 @@
/*
* Tiny Vector Matrix Library
* Dense Vector Matrix Libary of Tiny size using Expression Templates
*
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: Gemm.h,v 1.8 2004/06/16 09:30:07 opetzold Exp $
*/
#ifndef TVMET_LOOP_GEMM_H
#define TVMET_LOOP_GEMM_H
namespace tvmet {
namespace loop {
/**
* \class gemm Gemm.h "tvmet/loop/Gemm.h"
* \brief class for matrix-matrix product using loop unrolling.
* using formula
* \f[
* M_1\,M_2
* \f]
* \par Example:
* \code
* template<class T, int Rows1, int Cols1, int Cols2>
* inline
* void
* prod(const Matrix<T, Rows1, Cols1>& lhs, const Matrix<T, Cols1, Cols2>& rhs,
* Matrix<T, Rows1, Cols2>& dest)
* {
* for (int i = 0; i != Rows1; ++i) {
* for (int j = 0; j != Cols2; ++j) {
* dest(i, j) = tvmet::loop::gemm<Rows1, Cols1, Cols2>().prod(lhs, rhs, i, j);
* }
* }
* }
* \endcode
* \note The number of rows of rhs matrix have to be equal to cols of lhs matrix.
* The result is a (Rows1 x Cols2) matrix.
*/
template<int Rows1, int Cols1,
int Cols2>
class gemm
{
gemm(const gemm&);
gemm& operator=(const gemm&);
private:
enum {
count = Cols1,
N = (count+7)/8
};
public:
gemm() { }
public:
template<class E1, class E2>
static inline
typename PromoteTraits<
typename E1::value_type,
typename E2::value_type
>::value_type
prod(const E1& lhs, const E2& rhs, int i, int j) {
typename PromoteTraits<
typename E1::value_type,
typename E2::value_type
>::value_type sum(0);
int k(0);
int n(N);
// Duff's device
switch(count % 8) {
case 0: do { sum += lhs(i, k) * rhs(k, j); ++k;
case 7: sum += lhs(i, k) * rhs(k, j); ++k;
case 6: sum += lhs(i, k) * rhs(k, j); ++k;
case 5: sum += lhs(i, k) * rhs(k, j); ++k;
case 4: sum += lhs(i, k) * rhs(k, j); ++k;
case 3: sum += lhs(i, k) * rhs(k, j); ++k;
case 2: sum += lhs(i, k) * rhs(k, j); ++k;
case 1: sum += lhs(i, k) * rhs(k, j); ++k;
} while(--n != 0);
}
return sum;
}
};
} // namespace loop
} // namespace tvmet
#endif /* TVMET_LOOP_GEMM_H */
// Local Variables:
// mode:C++
// End:

114
tvmet-1.7.1/include/tvmet/loop/Gemmt.h
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@@ -1,114 +0,0 @@
/*
* Tiny Vector Matrix Library
* Dense Vector Matrix Libary of Tiny size using Expression Templates
*
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: Gemmt.h,v 1.5 2004/06/16 09:30:07 opetzold Exp $
*/
#ifndef TVMET_LOOP_GEMMT_H
#define TVMET_LOOP_GEMMT_H
namespace tvmet {
namespace loop {
/**
* \class gemmt Gemmt.h "tvmet/loop/Gemmt.h"
* \brief class for for product matrix-transpose(matrix) operations.
* using formula
* \f[
* M_1\,M_2^{T}
* \f]
* \par Example:
* \code
* template<class T, int Rows1, int Cols1, int Cols2>
* inline
* void
* prod(const Matrix<T, Rows1, Cols1>& lhs, const Matrix<T, Rows2, Cols1>& rhs,
* Matrix<T, Rows1, Rows2>& dest)
* {
* for (int i = 0; i != Rows1; ++i) {
* for (int j = 0; j != Rows2; ++j) {
* dest(i, j) = tvmet::loop::gemmt<Rows1, Cols1, Cols1>().prod(lhs, rhs, i, j);
* }
* }
* }
* \endcode
* \note The number of cols of rhs matrix have to be equal to cols of rhs matrix.
* The result is a (Rows1 x Rows2) matrix.
*/
template<int Rows1, int Cols1,
int Cols2 /* unused */>
class gemmt
{
gemmt(const gemmt&);
gemmt& operator=(const gemmt&);
private:
enum {
count = Cols1,
N = (count+7)/8
};
public:
gemmt() { }
public:
template<class E1, class E2>
static inline
typename PromoteTraits<
typename E1::value_type,
typename E2::value_type
>::value_type
prod(const E1& lhs, const E2& rhs, int i, int j) {
typename PromoteTraits<
typename E1::value_type,
typename E2::value_type
>::value_type sum(0);
int k(0);
int n(N);
// Duff's device
switch(count % 8) {
case 0: do { sum += lhs(i, k) * rhs(j, k); ++k;
case 7: sum += lhs(i, k) * rhs(j, k); ++k;
case 6: sum += lhs(i, k) * rhs(j, k); ++k;
case 5: sum += lhs(i, k) * rhs(j, k); ++k;
case 4: sum += lhs(i, k) * rhs(j, k); ++k;
case 3: sum += lhs(i, k) * rhs(j, k); ++k;
case 2: sum += lhs(i, k) * rhs(j, k); ++k;
case 1: sum += lhs(i, k) * rhs(j, k); ++k;
} while(--n != 0);
}
return sum;
}
};
} // namespace loop
} // namespace tvmet
#endif /* TVMET_LOOP_GEMMT_H */
// Local Variables:
// mode:C++
// End:

115
tvmet-1.7.1/include/tvmet/loop/Gemtm.h
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@@ -1,115 +0,0 @@
/*
* Tiny Vector Matrix Library
* Dense Vector Matrix Libary of Tiny size using Expression Templates
*
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: Gemtm.h,v 1.5 2004/06/16 09:30:07 opetzold Exp $
*/
#ifndef TVMET_LOOP_GEMTM_H
#define TVMET_LOOP_GEMTM_H
namespace tvmet {
namespace loop {
/**
* \class gemtm Gemtm.h "tvmet/loop/Gemtm.h"
* \brief class for matrix-matrix product using loop unrolling.
* using formula
* \f[
* M_1^{T}\,M_2
* \f]
* \par Example:
* \code
* template<class T, int Rows1, int Cols1, int Cols2>
* inline
* void
* prod(const Matrix<T, Rows1, Cols1>& lhs, const Matrix<T, Rows1, Cols2>& rhs,
* Matrix<T, Cols2, Cols1>& dest)
* {
* for (int i = 0; i != Cols1; ++i) {
* for (int j = 0; j != Cols2; ++j) {
* dest(i, j) = tvmet::loop::gemtm<Rows1, Cols1, Cols2>::prod(lhs, rhs, i, j);
* }
* }
* }
* \endcode
* \note The number of rows of rhs matrix have to be equal rows of rhs matrix,
* since lhs matrix 1 is transposed.
* The result is a (Cols1 x Cols2) matrix.
*/
template<int Rows1, int Cols1,
int Cols2>
class gemtm
{
gemtm(const gemtm&);
gemtm& operator=(const gemtm&);
private:
enum {
count = Cols1,
N = (count+7)/8
};
public:
gemtm() { }
public:
template<class E1, class E2>
static inline
typename PromoteTraits<
typename E1::value_type,
typename E2::value_type
>::value_type
prod(const E1& lhs, const E2& rhs, int i, int j) {
typename PromoteTraits<
typename E1::value_type,
typename E2::value_type
>::value_type sum(0);
int k(0);
int n(N);
// Duff's device
switch(count % 8) {
case 0: do { sum += lhs(k, i) * rhs(k, j); ++k;
case 7: sum += lhs(k, i) * rhs(k, j); ++k;
case 6: sum += lhs(k, i) * rhs(k, j); ++k;
case 5: sum += lhs(k, i) * rhs(k, j); ++k;
case 4: sum += lhs(k, i) * rhs(k, j); ++k;
case 3: sum += lhs(k, i) * rhs(k, j); ++k;
case 2: sum += lhs(k, i) * rhs(k, j); ++k;
case 1: sum += lhs(k, i) * rhs(k, j); ++k;
} while(--n != 0);
}
return sum;
}
};
} // namespace loop
} // namespace tvmet
#endif /* TVMET_LOOP_GEMTM_H */
// Local Variables:
// mode:C++
// End:

109
tvmet-1.7.1/include/tvmet/loop/Gemtv.h
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@@ -1,109 +0,0 @@
/*
* Tiny Vector Matrix Library
* Dense Vector Matrix Libary of Tiny size using Expression Templates
*
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: Gemtv.h,v 1.3 2004/06/16 09:30:07 opetzold Exp $
*/
#ifndef TVMET_LOOP_GEMTV_H
#define TVMET_LOOP_GEMTV_H
namespace tvmet {
namespace loop {
/**
* \class gemtv Gemtv.h "tvmet/loop/Gemtv.h"
* \brief class for transposed(matrix)-vector product using loop unrolling.
* using formula
* \f[
* M^T\,v
* \f]
* \par Example:
* \code
* template<class T, int Rows, int Cols>
* inline
* void
* prod(const Matrix<T, Rows, Cols>& lhs, const Vector<T, Rows>& rhs,
* Vector<T, Cols>& dest)
* {
* for (int i = 0; i != Cols; ++i) {
* dest(i) = tvmet::loop::gemtv<Rows, Cols>().prod(lhs, rhs, i);
* }
* }
* \endcode
*/
template<int Rows, int Cols>
class gemtv
{
gemtv(const gemtv&);
gemtv& operator=(const gemtv&);
private:
enum {
count = Rows,
N = (count+7)/8
};
public:
gemtv() { }
public:
template<class E1, class E2>
static inline
typename PromoteTraits<
typename E1::value_type,
typename E2::value_type
>::value_type
prod(const E1& lhs, const E2& rhs, int i) {
typename PromoteTraits<
typename E1::value_type,
typename E2::value_type
>::value_type sum(0);
int j(0);
int n(N);
// Duff's device
switch(count % 8) {
case 0: do { sum += lhs(j, i) * rhs(j); ++j;
case 7: sum += lhs(j, i) * rhs(j); ++j;
case 6: sum += lhs(j, i) * rhs(j); ++j;
case 5: sum += lhs(j, i) * rhs(j); ++j;
case 4: sum += lhs(j, i) * rhs(j); ++j;
case 3: sum += lhs(j, i) * rhs(j); ++j;
case 2: sum += lhs(j, i) * rhs(j); ++j;
case 1: sum += lhs(j, i) * rhs(j); ++j;
} while(--n != 0);
}
return sum;
}
};
} // namespace loop
} // namespace tvmet
#endif /* TVMET_LOOP_GEMTV_H */
// Local Variables:
// mode:C++
// End:

109
tvmet-1.7.1/include/tvmet/loop/Gemv.h
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@@ -1,109 +0,0 @@
/*
* Tiny Vector Matrix Library
* Dense Vector Matrix Libary of Tiny size using Expression Templates
*
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: Gemv.h,v 1.3 2004/06/16 09:30:07 opetzold Exp $
*/
#ifndef TVMET_LOOP_GEMV_H
#define TVMET_LOOP_GEMV_H
namespace tvmet {
namespace loop {
/**
* \class gemv Gemv.h "tvmet/loop/Gemv.h"
* \brief class for matrix-vector product using loop unrolling.
* using formula
* \f[
* M\,v
* \f]
* \par Example:
* \code
* template<class T, int Rows, int Cols>
* inline
* void
* prod(const Matrix<T, Rows, Cols>& lhs, const Vector<T, Cols>& rhs,
* Vector<T, Rows>& dest)
* {
* for (int i = 0; i != Rows; ++i) {
* dest(i) = tvmet::loop::gemv<Rows, Cols>().prod(lhs, rhs, i);
* }
* }
* \endcode
*/
template<int Rows, int Cols>
class gemv
{
gemv(const gemv&);
gemv& operator=(const gemv&);
private:
enum {
count = Cols,
N = (count+7)/8
};
public:
gemv() { }
public:
template<class E1, class E2>
static inline
typename PromoteTraits<
typename E1::value_type,
typename E2::value_type
>::value_type
prod(const E1& lhs, const E2& rhs, int i) {
typename PromoteTraits<
typename E1::value_type,
typename E2::value_type
>::value_type sum(0);
int j(0);
int n(N);
// Duff's device
switch(count % 8) {
case 0: do { sum += lhs(i, j) * rhs(j); ++j;
case 7: sum += lhs(i, j) * rhs(j); ++j;
case 6: sum += lhs(i, j) * rhs(j); ++j;
case 5: sum += lhs(i, j) * rhs(j); ++j;
case 4: sum += lhs(i, j) * rhs(j); ++j;
case 3: sum += lhs(i, j) * rhs(j); ++j;
case 2: sum += lhs(i, j) * rhs(j); ++j;
case 1: sum += lhs(i, j) * rhs(j); ++j;
} while(--n != 0);
}
return sum;
}
};
} // namespace loop
} // namespace tvmet
#endif /* TVMET_LOOP_GEMV_H */
// Local Variables:
// mode:C++
// End:

65
tvmet-1.7.1/include/tvmet/loop/Matrix.h
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@@ -1,65 +0,0 @@
/*
* Tiny Vector Matrix Library
* Dense Vector Matrix Libary of Tiny size using Expression Templates
*
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: Matrix.h,v 1.7 2004/06/27 20:32:55 opetzold Exp $
*/
#ifndef TVMET_LOOP_MATRIX_H
#define TVMET_LOOP_MATRIX_H
namespace tvmet {
namespace loop {
/**
* \class Matrix Matrix.h "tvmet/loop/Matrix.h"
* \brief Loop %Matrix class using expression and loop templates.
*/
template<int Rows, int Cols>
class Matrix
{
Matrix(const Matrix&);
Matrix& operator=(const Matrix&);
public:
Matrix() { }
public:
/** assign an expression on columns on given row using the functional fn. */
template<class E1, class E2, class Assign>
static inline
void assign(E1& lhs, const E2& rhs, const Assign& assign_fn) {
for(int i = 0; i != Rows; ++i)
for(int j = 0; j != Cols; ++j)
assign_fn.apply_on(lhs(i, j), rhs(i, j));
}
};
} // namespace loop
} // namespace tvmet
#endif /* TVMET_LOOP_MATRIX_H */
// Local Variables:
// mode:C++
// End:

64
tvmet-1.7.1/include/tvmet/loop/Vector.h
View File

@@ -1,64 +0,0 @@
/*
* Tiny Vector Matrix Library
* Dense Vector Matrix Libary of Tiny size using Expression Templates
*
* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
*
* This library 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 2.1 of the License, or (at your option) any later version.
*
* This library 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 for more details.
*
* You should have received a copy of the GNU lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* $Id: Vector.h,v 1.5 2004/06/27 20:32:55 opetzold Exp $
*/
#ifndef TVMET_LOOP_VECTOR_H
#define TVMET_LOOP_VECTOR_H
namespace tvmet {
namespace loop {
/**
* \class Vector Vector.h "tvmet/loop/Vector.h"
* \brief Loop %Vector class using expression and loop templates.
*/
template<int Sz>
class Vector
{
Vector(const Vector&);
Vector& operator=(const Vector&);
public:
Vector() { }
public:
/** assign an expression on columns on given row using the functional fn. */
template<class E1, class E2, class Assign>
static inline
void assign(E1& lhs, const E2& rhs, const Assign& assign_fn) {
for(int i = 0; i != Sz; ++i)
assign_fn.apply_on(lhs(i), rhs(i));
}
};
} // namespace loop
} // namespace tvmet
#endif /* TVMET_LOOP_VECTOR_H */
// Local Variables:
// mode:C++
// End:

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