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2016-04-29 15:19:19 -07:00
bench Use index list for the striding benchmarks 2016-04-21 11:58:27 -07:00
blas Implement stricter argument checking for SYRK and SY2K and real matrices. To implement the BLAS API they should return info=2 if op='C' is passed for a complex matrix. Without this change, the Eigen BLAS fails the strict zblat3 and cblat3 tests in LAPACK 3.5. 2016-04-27 19:59:44 +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
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doc Update doc regarding the genericity of EIGEN_USE_BLAS 2016-04-11 17:16:07 +02:00
Eigen Fix compilation of sparse.cast<>().transpose(). 2016-04-29 18:26:08 +02:00
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
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test Fixed compilation error with clang. 2016-04-27 19:32:12 -07:00
unsupported Restore Tensor support for non c++11 compilers 2016-04-29 15:19:19 -07:00
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CMakeLists.txt Added an option to enable the use of the F16C instruction set 2016-04-21 10:30:29 -07:00
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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
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/.