eigen - C++ library for linear algebra

	Commit message (Collapse)	Author	Age
*	Silenced several double-promotion warnings	Christoph Hertzberg	2016-05-22
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*	fixed macro name	Christoph Hertzberg	2016-05-22
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*	Fix some sign-compare warnings	Christoph Hertzberg	2016-05-22
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*	Identify clang++ even if it is not named llvm-clang++	Christoph Hertzberg	2016-05-22
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*	Document EIGEN_MAX_CPP_VER and user controllable compiler features.	Gael Guennebaud	2016-05-20
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*	Make EIGEN_HAS_CONSTEXPR user configurable	Gael Guennebaud	2016-05-20
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*	Make EIGEN_HAS_VARIADIC_TEMPLATES user configurable	Gael Guennebaud	2016-05-20
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*	Make EIGEN_HAS_STD_RESULT_OF user configurable	Gael Guennebaud	2016-05-20
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*	Make EIGEN_HAS_C99_MATH user configurable	Gael Guennebaud	2016-05-20
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*	Make EIGEN_HAS_RVALUE_REFERENCES user configurable	Gael Guennebaud	2016-05-20
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*	Rename EIGEN_HAVE_RVALUE_REFERENCES to EIGEN_HAS_RVALUE_REFERENCES	Gael Guennebaud	2016-05-20
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*	polygamma is C99/C++11 only	Gael Guennebaud	2016-05-20
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*	Add a EIGEN_MAX_CPP_VER option to limit the C++ version to be used.	Gael Guennebaud	2016-05-20
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*	Improve doc of special math functions	Gael Guennebaud	2016-05-20
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*	Rename UniformRandom to UnitRandom.	Gael Guennebaud	2016-05-20
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*	Fix coding practice in Quaternion::UniformRandom	Gael Guennebaud	2016-05-20
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*	bug #823: add static method to Quaternion for uniform random rotations.	Joseph Mirabel	2016-05-20
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*	Remove std:: to enable custom scalar types.	Gael Guennebaud	2016-05-19
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*	made a fix to the GMRES solver so that it now correctly reports the error ↵	David Dement	2016-05-16
\| \| \| \|	achieved in the solution process
*	Fix unit test.	Gael Guennebaud	2016-05-19
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*	Improve unit tests of zeta, polygamma, and digamma	Gael Guennebaud	2016-05-19
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*	zeta and polygamma are not unary functions, but binary ones.	Gael Guennebaud	2016-05-19
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*	zeta and digamma do not require C++11/C99	Gael Guennebaud	2016-05-19
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*	Add some c++11 flags in documentation	Gael Guennebaud	2016-05-19
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*	bug #1201: optimize affine*vector products	Gael Guennebaud	2016-05-19
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*	bug #1221: disable gcc 6 warning: ignoring attributes on template argument	Gael Guennebaud	2016-05-19
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*	Fix SelfAdjointEigenSolver for some input expression types, and add new ↵	Gael Guennebaud	2016-05-19
\| \| \| \|	regression unit tests for sparse and selfadjointview inputs.
*	DiagonalWrapper is a vector, so it must expose the LinearAccessBit flag.	Gael Guennebaud	2016-05-19
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*	Add support for SelfAdjointView::diagonal()	Gael Guennebaud	2016-05-19
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*	Fix SelfAdjointView::triangularView for complexes.	Gael Guennebaud	2016-05-19
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*	bug #1230: add support for SelfadjointView::triangularView.	Gael Guennebaud	2016-05-19
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*	Advertize the packet api of the tensor reducers iff the corresponding packet ↵	Benoit Steiner	2016-05-18
\| \| \| \|	primitives are available.
*	bug #1231: fix compilation regression regarding complex_array/=real_array ↵	Gael Guennebaud	2016-05-18
\| \| \| \|	and add respective unit tests
*	Use coeff(i,j) instead of operator().	Gael Guennebaud	2016-05-18
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*	bug #1224: fix regression in (dense*dense).sparseView() by specializing ↵	Gael Guennebaud	2016-05-18
\| \| \| \|	evaluator<SparseView<Product>> for sparse products only.
*	Use default sorting strategy for square products.	Gael Guennebaud	2016-05-18
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*	Extend sparse*sparse product unit test to check that the expected ↵	Gael Guennebaud	2016-05-18
\| \| \| \|	implementation is used (conservative vs auto pruning).
*	bug #1229: bypass usage of Derived::Options which is available for plain ↵	Gael Guennebaud	2016-05-18
\| \| \| \|	matrix types only. Better use column-major storage anyway.
*	Pass argument by const ref instead of by value in pow(AutoDiffScalar...)	Gael Guennebaud	2016-05-18
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*	bug #1223: fix compilation of AutoDiffScalar's min/max operators, and add ↵	Gael Guennebaud	2016-05-18
\| \| \| \|	regression unit test.
*	bug #1222: fix compilation in AutoDiffScalar and add respective unit test	Gael Guennebaud	2016-05-18
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*	Big 1213: add regression unit test.	Gael Guennebaud	2016-05-18
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*	bug #1213: rename some enums type for consistency.	Gael Guennebaud	2016-05-18
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*	#if defined(EIGEN_USE_NONBLOCKING_THREAD_POOL) is now #if ↵	Benoit Steiner	2016-05-17
\| \| \| \|	!defined(EIGEN_USE_SIMPLE_THREAD_POOL): the non blocking thread pool is the default since it's more scalable, and one needs to request the old thread pool explicitly.
*	Fixed compilation error	Benoit Steiner	2016-05-17
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*	Fixed compilation error in the tensor thread pool	Benoit Steiner	2016-05-17
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*	Merge upstream.	Rasmus Munk Larsen	2016-05-17
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* \|	Roll back changes to core. Move include of TensorFunctors.h up to satisfy ↵	Rasmus Munk Larsen	2016-05-17
\| \| \| \| \| \| \| \|	dependence in TensorCostModel.h.
\| *	Merged eigen/eigen into default	Rasmus Larsen	2016-05-17
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\| *	Enable the use of the packet api to evaluate tensor broadcasts. This speed ↵	Benoit Steiner	2016-05-17
\| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \|	things up quite a bit: Before" M_broadcasting/10 500000 3690 27.10 MFlops/s BM_broadcasting/80 500000 4014 1594.24 MFlops/s BM_broadcasting/640 100000 14770 27731.35 MFlops/s BM_broadcasting/4K 5000 632711 39512.48 MFlops/s After: BM_broadcasting/10 500000 4287 23.33 MFlops/s BM_broadcasting/80 500000 4455 1436.41 MFlops/s BM_broadcasting/640 200000 10195 40173.01 MFlops/s BM_broadcasting/4K 5000 423746 58997.57 MFlops/s