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2016-04-15 10:53:31 -07:00
bench remove useless include 2016-04-14 15:18:56 +02:00
blas Improve constness of level2 blas API. 2016-04-11 17:13:01 +02:00
cmake Created the new EIGEN_TEST_CUDA_CLANG option to compile the CUDA tests using clang instead of nvcc 2016-04-08 13:16:08 -07:00
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 Update doc regarding the genericity of EIGEN_USE_BLAS 2016-04-11 17:16:07 +02:00
Eigen Improved the matrix multiplication blocking in the case where mr is not a power of 2 (e.g on Haswell CPUs). 2016-04-15 10:53:31 -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 Improve constness of level2 blas API. 2016-04-11 17:13:01 +02:00
scripts Use @CMAKE_MAKE_PROGRAM@ instead of make in buildtests.sh 2015-02-28 16:51:53 +01:00
test Fix trmv for mixing types. 2016-04-15 17:58:36 +02:00
unsupported Added ability to access the cache sizes from the tensor devices 2016-04-14 21:25:06 -07:00
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CMakeLists.txt add initial s390x(zEC13) ZVECTOR support 2016-03-21 13:46:47 -04:00
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CTestConfig.cmake swap 3.2 <-> default CTestConfig.cmake file 2014-03-05 10:07:44 +01:00
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eigen3.pc.in Further fixes for CMAKE_INSTALL_PREFIX correctness 2015-11-07 21:29:24 -05:00
INSTALL
README.md Reverted the README 2015-02-27 13:09:49 -08:00
signature_of_eigen3_matrix_library

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/.