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Rasmus Munk Larsen 3ed67cb0bb Fix a bug in the implementation of Carmack's fast sqrt algorithm in Eigen (enabled by EIGEN_FAST_MATH), which causes the vectorized parts of the computation to return -0.0 instead of NaN for negative arguments.

Benchmark speed in Giga-sqrts/s
Intel(R) Xeon(R) CPU E5-1650 v3 @ 3.50GHz
-----------------------------------------
                    SSE        AVX
Fast=1              2.529G     4.380G
Fast=0              1.944G     1.898G
Fast=1 fixed        2.214G     3.739G

This table illustrates the worst case in terms speed impact: It was measured by repeatedly computing the sqrt of an n=4096 float vector that fits in L1 cache. For large vectors the operation becomes memory bound and the differences between the different versions almost negligible.

2016-10-04 14:22:56 -07:00

Do not manually add absolute path to boost-library.

2016-09-22 00:10:47 +02:00

Relax mixing-type constraints for binary coefficient-wise operators:

2016-06-06 15:11:41 +02:00

FindEigen3.cmake : search for package only if EIGEN3_INCLUDE_DIR is not already defined

2016-08-22 22:13:10 +00:00

Make gdb pretty printer Python3-compatible (bug #800 ).

2014-04-28 14:10:22 +01:00

Fixed compilation error due to obsolete internal::abs and internal::sqrt function calls

2014-03-26 22:02:48 -04:00

Add missing file.

2016-09-23 10:26:08 +02:00

Fix a bug in the implementation of Carmack's fast sqrt algorithm in Eigen (enabled by EIGEN_FAST_MATH), which causes the vectorized parts of the computation to return -0.0 instead of NaN for negative arguments.

2016-10-04 14:22:56 -07:00

Add unit tests for bug #981 : valid and invalid usage of ternary operator

2015-09-09 11:38:25 +02:00

Workaround "misleading-indentation" warnings

2016-05-11 08:41:36 +02:00

Fix help output of buildtests and check scripts

2016-05-11 19:39:09 +02:00

Fix a bug in the implementation of Carmack's fast sqrt algorithm in Eigen (enabled by EIGEN_FAST_MATH), which causes the vectorized parts of the computation to return -0.0 instead of NaN for negative arguments.

2016-10-04 14:22:56 -07:00

Cleanup the cuda executor code.

2016-10-04 08:52:13 -07:00

.hgeol

Added a pattern which forces LF line endings for *.sh files.

2013-07-31 18:20:58 +02:00

.hgignore

Ignore automalically imported lapack source files

2014-10-17 15:34:39 +02:00

CMakeLists.txt

Add aliases Eigen_*_DIR to Eigen3_*_DIR

2016-08-05 15:21:14 +02:00

COPYING.BSD

Intel(R) MKL support added.

2011-12-05 14:52:21 +07:00

COPYING.GPL

there's no reason why we should follow the FSF's stupid recommendation for the naming of these files, right? This could give the wrong impression that Eigen is only GPL-licensed.

2009-11-14 23:26:07 -05:00

COPYING.LGPL

Replace COPYING.LGPL by a copy of the LGPL 2.1 (instead of LGPL 3).

2012-09-10 13:27:44 -04:00

COPYING.MINPACK

add COPYING.MINPACK

2012-07-15 11:46:22 -04:00

COPYING.MPL2

add COPYING.MPL2

2012-07-15 10:20:59 -04:00

COPYING.README

Replace COPYING.LGPL by a copy of the LGPL 2.1 (instead of LGPL 3).

2012-09-10 13:27:44 -04:00

CTestConfig.cmake

swap 3.2 <-> default CTestConfig.cmake file

2014-03-05 10:07:44 +01:00

CTestCustom.cmake.in

Reduce maximum number of warnings/errors. (they took GBs even for limited period of time)

2013-06-20 17:39:15 +02:00

eigen3.pc.in

Further fixes for CMAKE_INSTALL_PREFIX correctness

2015-11-07 21:29:24 -05:00

INSTALL

finally, the right fix: set CTEST_BUILD_TARGET.

2009-10-04 20:27:44 -04:00

README.md

Reverted the README

2015-02-27 13:09:49 -08:00

signature_of_eigen3_matrix_library

improve the scripts for building unit tests:

2009-11-25 21:26:37 -05:00

README.md

Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms.

For more information go to http://eigen.tuxfamily.org/.

Languages

C++ 85.6%

Fortran 8.9%

CMake 2%

C 1.6%

Cuda 1.2%

Other 0.6%