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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
bench
Do not manually add absolute path to boost-library.
2016-09-22 00:10:47 +02:00
blas
Relax mixing-type constraints for binary coefficient-wise operators:
2016-06-06 15:11:41 +02:00
cmake
FindEigen3.cmake : search for package only if EIGEN3_INCLUDE_DIR is not already defined
2016-08-22 22:13:10 +00:00
debug
Make gdb pretty printer Python3-compatible (bug #800).
2014-04-28 14:10:22 +01:00
demos
Fixed compilation error due to obsolete internal::abs and internal::sqrt function calls
2014-03-26 22:02:48 -04:00
doc
Add missing file.
2016-09-23 10:26:08 +02:00
Eigen
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
failtest
Add unit tests for bug #981: valid and invalid usage of ternary operator
2015-09-09 11:38:25 +02:00
lapack
Workaround "misleading-indentation" warnings
2016-05-11 08:41:36 +02:00
scripts
Fix help output of buildtests and check scripts
2016-05-11 19:39:09 +02:00
test
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
unsupported
Cleanup the cuda executor code.
2016-10-04 08:52:13 -07:00
.hgeol
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.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
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COPYING.GPL
…
COPYING.LGPL
…
COPYING.MINPACK
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COPYING.MPL2
add COPYING.MPL2
2012-07-15 10:20:59 -04:00
COPYING.README
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CTestConfig.cmake
swap 3.2 <-> default CTestConfig.cmake file
2014-03-05 10:07:44 +01:00
CTestCustom.cmake.in
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eigen3.pc.in
Further fixes for CMAKE_INSTALL_PREFIX correctness
2015-11-07 21:29:24 -05:00
INSTALL
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README.md
Reverted the README
2015-02-27 13:09:49 -08:00
signature_of_eigen3_matrix_library
…

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/.

Description
No description provided
Readme MPL-2.0 146 MiB
Languages
C++ 85.1%
Fortran 8.5%
C 2.7%
CMake 1.9%
Cuda 1.2%
Other 0.4%