eigen - C++ library for linear algebra

	Commit message (Collapse)	Author	Age
*	bug #1543: improve linear indexing for general block expressions	Gael Guennebaud	2018-07-10
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*	Introduce the macro ei_declare_local_nested_eval to help allocating on the ↵	Gael Guennebaud	2018-07-09
\| \| \| \| \| \|	stack local temporaries via alloca, and let outer-products makes a good use of it. If successful, we should use it everywhere nested_eval is used to declare local dense temporaries.
*	bug #1567: add optimized path for tensor broadcasting and 'Channel First' shape	Gael Guennebaud	2018-07-09
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*	Skip null numerators in triangular-vector-solve (as in BLAS TRSV).	Gael Guennebaud	2018-07-09
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*	Fix legitimate "declaration shadows a typedef" warning	Gael Guennebaud	2018-07-09
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*	Fix the Packet16h version of ptranspose	Mark D Ryan	2018-06-16
\| \| \| \| \| \| \| \| \| \| \|	The AVX512 version of ptranpose for PacketBlock<Packet16h,16> was reordering the PacketBlock argument incorrectly. This lead to errors in the multiplication of matrices composed of 16 bit floats on AVX512 machines, if at least of the matrices was using RowMajor order. This error is responsible for one tensorflow unit test failure on AVX512 machines: //tensorflow/python/kernel_tests:batch_matmul_op_test
*	Fix a few issues with Packet16h	Gael Guennebaud	2018-07-07
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*	complete implementation of Packet16h (AVX512)	Gael Guennebaud	2018-07-06
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*	palign is not used anymore, so let's relax the unit test	Gael Guennebaud	2018-07-06
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*	test product kernel with half-floats.	Gael Guennebaud	2018-07-06
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*	Complete Packet8h implementation and test it in packetmath unit test	Gael Guennebaud	2018-07-06
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*	Add unitests for inverse and selfadjoint-eigenvalues on CUDA	Gael Guennebaud	2018-07-06
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*	Extend CUDA support to matrix inversion and selfadjointeigensolver	Andrea Bocci	2018-06-11
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*	bug #1565: help MSVC to generatenot too bad ASM in reductions.	Gael Guennebaud	2018-07-05
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*	Implement custom inplace triangular product to avoid a temporary	Gael Guennebaud	2018-07-03
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*	Make is_same_dense compatible with different scalar types.	Gael Guennebaud	2018-07-03
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*	Activate dgmres unit test	Gael Guennebaud	2018-07-02
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*	Fix regression in changeset f05dea6b2326836e5e0243fbaffbece84b833d64	Gael Guennebaud	2018-07-02
\| \| \| \|	: computeFromHessenberg can take any expression for matrixQ, not only an HouseholderSequence.
*	Simplify redux_evaluator using inheritance, and properly rename parameters ↵	Gael Guennebaud	2018-07-02
\| \| \| \|	in reducers.
*	bug #1562: optimize evaluation of small products of the form sAB by ↵	Gael Guennebaud	2018-07-02
\| \| \| \|	rewriting them as: s*(A.lazyProduct(B)) to save a costly temporary. Measured speedup from 2x to 5x...
*	Fix unit test	Gael Guennebaud	2018-07-01
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*	update comment	Gael Guennebaud	2018-06-29
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*	Merged in net147/eigen (pull request PR-411)	Gael Guennebaud	2018-06-28
\|\ \| \| \| \| \| \|	Use std::complex constructor instead of assignment from scalar
* \|	Fix order of EIGEN_DEVICE_FUNC and returned type	Gael Guennebaud	2018-06-28
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\| *	Use std::complex constructor instead of assignment from scalar	Jonathan Liu	2018-06-28
\|/ \| \| \| \|	Fixes GCC conversion to non-scalar type requested compile error when using boost::multiprecision::cpp_dec_float_50 as scalar type.
*	First step towards a generic vectorised quaternion product	Gael Guennebaud	2018-06-25
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*	bug #1560 fix product with a 1x1 diagonal matrix	Gael Guennebaud	2018-06-25
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*	merge	Rasmus Munk Larsen	2018-06-22
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* \|	Fix typo in pbend for AltiVec.	Rasmus Munk Larsen	2018-06-22
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\| *	Merged in rmlarsen/eigen2 (pull request PR-409)	Benoit Steiner	2018-06-21
\| \|\ \| \|/ \|/\| \| \|	Fix oversharding bug in parallelFor.
\| *	bug #1555: compilation fix with XLC	Gael Guennebaud	2018-06-21
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* \|	Fix oversharding bug in parallelFor.	Rasmus Munk Larsen	2018-06-20
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*	fix md5sum of lapack_addons	Gael Guennebaud	2018-06-15
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*	Merged in mfigurnov/eigen/gamma-der-a (pull request PR-403)	Benoit Steiner	2018-06-11
\|\ \| \| \| \| \| \| \| \| \| \|	Derivative of the incomplete Gamma function and the sample of a Gamma random variable Approved-by: Benoit Steiner <benoit.steiner.goog@gmail.com>
* \|	bug #1531: make dedicatd unit testing for NumDimensions	Gael Guennebaud	2018-06-08
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* \|	bug #1531: expose NumDimensions for solve and sparse expressions.	Gael Guennebaud	2018-06-08
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* \|	bug #1531: expose NumDimensions for compatibility with Tensor	Gael Guennebaud	2018-06-08
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* \|	bug #1550: prevent avoidable memory allocation in RealSchur	Gael Guennebaud	2018-06-08
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* \|	fix prototype	Gael Guennebaud	2018-06-08
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* \|	Fix the way matrix folder is passed to the tests.	Gael Guennebaud	2018-06-08
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* \|	Don't use std::equal_to inside cuda kernels since it's not supported.	Benoit Steiner	2018-06-07
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* \|	Missing line during manual rebase of PR-374	Christoph Hertzberg	2018-06-07
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\| *	Merge from eigen/eigen	Michael Figurnov	2018-06-07
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\| * \|	Updated the stopping criteria in igammac_cf_impl.	Michael Figurnov	2018-06-07
\| \| \| \| \| \| \| \| \| \| \| \|	Previously, when computing the derivative, it used a relative error threshold. Now it uses an absolute error threshold. The behavior for computing the value is unchanged. This makes more sense since we do not expect the derivative to often be close to zero. This change makes the derivatives about 30% faster across the board. The error for the igamma_der_a is almost unchanged, while for gamma_sample_der_alpha it is a bit worse for float32 and unchanged for float64.
\| * \|	Derivative of the incomplete Gamma function and the sample of a Gamma random ↵	Michael Figurnov	2018-06-06
\| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \|	variable. In addition to igamma(a, x), this code implements: * igamma_der_a(a, x) = d igamma(a, x) / da -- derivative of igamma with respect to the parameter * gamma_sample_der_alpha(alpha, sample) -- reparameterization derivative of a Gamma(alpha, 1) random variable sample with respect to the alpha parameter The derivatives are computed by forward mode differentiation of the igamma(a, x) code. Although gamma_sample_der_alpha can be implemented via igamma_der_a, a separate function is more accurate and efficient due to analytical cancellation of some terms. All three functions are implemented by a method parameterized with "mode" that always computes the derivatives, but does not return them unless required by the mode. The compiler is expected to (and, based on benchmarks, does) skip the unnecessary computations depending on the mode.
* \| \|	Adding EIGEN_DEVICE_FUNC to Products, especially Dense2Dense Assignment	Robert Lukierski	2018-03-14
\| \|/ \|/\| \| \| \| \| \| \|	specializations. Otherwise causes problems with small fixed size matrix multiplication (call to 0x00 in call_assignment_no_alias in debug mode or trap in release with CUDA 9.1).
* \|	Merged in mfigurnov/eigen/fix-bessel (pull request PR-404)	Benoit Steiner	2018-06-07
\|\ \ \| \| \| \| \| \| \| \| \|	Fix compilation of special functions without C99 math.
\| * \	Merge from eigen/eigen.	Michael Figurnov	2018-06-07
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* \| \|	Fiw some warnings in dox examples	Gael Guennebaud	2018-06-07
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* \| \|	Fix int versus Index	Gael Guennebaud	2018-06-07
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