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path: root/Eigen/src/Core/products/GeneralMatrixMatrix.h
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* Implement efficient sefladjoint product (aka SYRK) : C += alpha * U U^TGravatar Gael Guennebaud2009-07-23
| | | | | It is currently available via SelfAdjointView::rankKupdate. TODO: allows to write SelfAdjointView += u * u.adjoint()
* implement high level API for SYMM and fix a couple of bugs related to complexGravatar Gael Guennebaud2009-07-22
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* * GEMM enhencement: no need to pre-transpose the rhsGravatar Gael Guennebaud2009-07-22
| | | | | | | => faster a * b.transpose() product => this also fix a bug in a so far untested situation * SYMM is now ready for use => still have to write the high level stuff to convert natural expressions into a call to SYMM
* more refactoring in the level3 productsGravatar Gael Guennebaud2009-07-22
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* * refactoring of the matrix product into multiple small kernelsGravatar Gael Guennebaud2009-07-21
| | | | | * started an efficient selfadjoint matrix * general matrix product based on the generic kernels ( => need a very little LOC)
* Add an efficient rank2 update function (like the level2 blas xSYR2 routine).Gravatar Gael Guennebaud2009-07-11
| | | | Note that it is already used in Tridiagonalization.
* finally directly calling the low-level products is fasterGravatar Gael Guennebaud2009-07-10
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* ok now all the complex mat-mat and mat-vec products involving conjugate,Gravatar Gael Guennebaud2009-07-08
| | | | | adjoint, -, and scalar multiple seems to be well handled. It only remains the simpler case: C = alpha*(A*B) ... for the next commit
* conjugate expressions are now properly caught by ProductGravatar Gael Guennebaud2009-07-07
| | | | | => significant speedup in expr. like a.adjoint() * b, for complex scalar type (~ x3)
* * take advantage of new possibilies in LLT (mat -= product)Gravatar Gael Guennebaud2009-07-07
| | | | | * fix Block::operator+= product which was not optimized * fix some compilation issues
* * extended the cache friendly products to support C = alpha * A * M and C += ↵Gravatar Gael Guennebaud2009-07-07
| | | | | | | | | alpha * A * B * this allows to optimize xpr like C -= lazy_product, still have to catch "scalar_product_of_lazy_product" * started to support conjugate in cache friendly products (very useful to evaluate A * B.adjoint() without evaluating B.adjoint() into a temporary * compilation fix
* remove sentence "Eigen itself is part of the KDE project."Gravatar Benoit Jacob2009-05-22
| | | | it never made very precise sense. but now does it still make any?
* more MSVC fixes (asm comments...)Gravatar Gael Guennebaud2009-03-17
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* fix a few compilation errors and warnings (ICC)Gravatar Gael Guennebaud2009-03-11
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* big addons:Gravatar Gael Guennebaud2009-03-05
| | | | | | | | | | | * add Homogeneous expression for vector and set of vectors (aka matrix) => the next step will be to overload operator* * add homogeneous normalization (again for vector and set of vectors) * add a Replicate expression (with uni-directional replication facilities) => for all of them I'll add examples once we agree on the API * fix gcc-4.4 warnings * rename reverse.cpp array_reverse.cpp
* performance improvement: rewrite of the matrix-matrix product followingGravatar Gael Guennebaud2009-03-02
| | | | Goto's paper => x1.4 speedup with more consistent perf results
* improve WIP new matrix productGravatar Gael Guennebaud2009-02-27
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* * split CacheFriendlyProduct into multiple smaller filesGravatar Gael Guennebaud2009-02-21
* add an efficient selfadjoint * vector implementation (= blas symv) perf are inbetween MKL and GOTO => the interface is still missing (have to be rethougth)