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path: root/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h
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* bug #1741: fix SelfAdjointView::rankUpdate and product to triangular part ↵Gravatar Gael Guennebaud2019-09-10
| | | | for destination with non-trivial inner stride
* Fix regression introduced by the previous fix for AVX512.Gravatar Gael Guennebaud2018-09-20
| | | | It brokes the complex-complex case on SSE.
* Fix gebp kernel for real+complex in case only reals are vectorized (e.g., ↵Gravatar Gael Guennebaud2018-09-20
| | | | | | AVX512). This commit also removes "half-packet" from data-mappers: it was not used and conceptually broken anyways.
* bug #1405: enable StrictlyLower/StrictlyUpper triangularView as the ↵Gravatar Gael Guennebaud2017-06-09
| | | | destination of matrix*matrix products.
* Adjusted the EIGEN_DEVICE_FUNC qualifiers to make sure that:Gravatar Benoit Steiner2017-03-01
| | | | | * they're used consistently between the declaration and the definition of a function * we avoid calling host only methods from host device methods.
* Fix tracking of temporaries in unit testsGravatar Gael Guennebaud2017-02-19
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* Defer set-to-zero in triangular = product so that no aliasing issue occur in ↵Gravatar Gael Guennebaud2017-01-17
| | | | | | | the common: A.triangularView() = B*A.sefladjointView()*B.adjoint() case that used to work in 3.2.
* Relax mixing-type constraints for binary coefficient-wise operators:Gravatar Gael Guennebaud2016-06-06
| | | | | | | | | | - Replace internal::scalar_product_traits<A,B> by Eigen::ScalarBinaryOpTraits<A,B,OP> - Remove the "functor_is_product_like" helper (was pretty ugly) - Currently, OP is not used, but it is available to the user for fine grained tuning - Currently, only the following operators have been generalized: *,/,+,-,=,*=,/=,+=,-= - TODO: generalize all other binray operators (comparisons,pow,etc.) - TODO: handle "scalar op array" operators (currently only * is handled) - TODO: move the handling of the "void" scalar type to ScalarBinaryOpTraits
* Fix trmv for mixing types.Gravatar Gael Guennebaud2016-04-15
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* Fix tri = complex * real product, and add respective unit test.Gravatar Gael Guennebaud2016-01-27
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* Remove dead code.Gravatar Gael Guennebaud2016-01-26
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* bug #51: make general_matrix_matrix_triangular_product use L3-blocking ↵Gravatar Gael Guennebaud2016-01-25
| | | | helper so that general symmetric rank-updates and general-matrix-to-triangular products do not trigger dynamic memory allocation for fixed size matrices.
* Remove deprecated usage of expr::Index.Gravatar Gael Guennebaud2015-02-16
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* Pulled the latest changes from the trunkGravatar Benoit Steiner2015-02-06
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* | Made the blocking computation aware of the l3 cacheGravatar Benoit Steiner2014-10-15
| | | | | | | | Also optimized the blocking parameters to take into account the number of threads used for a computation
* | Generalized the gebp apisGravatar Benoit Steiner2014-10-02
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| * Remove deprecated code not used by evaluatorsGravatar Gael Guennebaud2014-09-18
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| * Various minor fixesGravatar Gael Guennebaud2014-07-30
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| * Refactor TriangularView to handle both dense and sparse objects. Introduce a ↵Gravatar Gael Guennebaud2014-07-22
| | | | | | | | glu_shape<S1,S2> helper to assemble sparse/dense shapes with triagular/seladjoint views.
| * Backport changes from old to new expression enginesGravatar Gael Guennebaud2014-06-20
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| * merge with default branchGravatar Gael Guennebaud2014-06-20
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* | Fix bug #784: Assert if assigning a product to a triangularView does not ↵Gravatar Christoph Hertzberg2014-04-04
| | | | | | | | match the size.
| * Add evaluator shortcut for triangular ?= productGravatar Gael Guennebaud2014-02-18
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| * fix scalar * prod in evaluators unit testGravatar Gael Guennebaud2014-01-25
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* | Improved the efficiency if the block-panel matrix multiplication code: the ↵Gravatar Benoit Steiner2014-01-02
|/ | | | change reduces the pressure on the L1 cache by removing the calls to gebp_traits::unpackRhs(). Instead the packetization of the rhs blocks is done on the fly in gebp_traits::loadRhs(). This adds numerous calls to pset1<ResPacket> (since we're packetizing on the fly in the inner loop) but this is more than compensated by the fact that we're decreasing the memory transfers by a factor RhsPacketSize.
* Clean source code and unit tests with respect to -Wunused-local-typedefsGravatar Gael Guennebaud2013-04-10
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* bug #482: pass scalar arguments by const references. Still remains a few ↵Gravatar Gael Guennebaud2013-02-25
| | | | cases that might affect the ABI (see the bug entry)
* Fix bug #496: generalize internal rank1_update implementation to accept ↵Gravatar Gael Guennebaud2013-02-24
| | | | | | uplo(A) += v * w and make A.triangularView() += v * w uses it. Update unit tests and blas interface respectively.
* Automatic relicensing to MPL2 using Keirs script. Manual fixup follows.Gravatar Benoit Jacob2012-07-13
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* Get rid of include directives inside namespace blocks (bug #339).Gravatar Jitse Niesen2012-04-15
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* fix several const qualifier issues: double ones, meaningless ones, some ↵Gravatar Gael Guennebaud2012-02-03
| | | | | | missing ones, etc. (note that const qualifiers are set by internall::nested)
* Intel(R) MKL support added.Gravatar karturov2011-12-05
| | | | | | | | | | * * * License disclaimer changed to BSD license for MKL_support.h * * * Pardiso support fixed, test added. blas/lapack tests fixed: Scalar parameter was added in Cholesky, product_matrix_vector_triangular remaned to triangular_matrix_vector_product. * * * PARDISO test was added physically.
* protect calls to min and max with parentheses to make Eigen compatible with ↵Gravatar Gael Guennebaud2011-07-21
| | | | | | | default windows.h (transplanted from 49b6e9143e1d74441924c0c313536e263e12a55c )
* fix memory leak when a custom scalar throw an exceptionGravatar Gael Guennebaud2011-03-19
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* bug #54 - really fix const correctness except in SparseGravatar Benoit Jacob2010-12-22
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* properly use nested typesGravatar Gael Guennebaud2010-11-10
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* generalize our internal rank K update routine to support more general A*B ↵Gravatar Gael Guennebaud2010-11-10
product while evaluating only one triangular part and make it available via, e.g.: R.triangularView<Lower>() += s * A * B;