10 Commits

Author	SHA1	Message	Date
Andrea Bocci	f7124b3e46	Extend CUDA support to matrix inversion and selfadjointeigensolver	2018-06-11 18:33:24 +02:00
Gael Guennebaud	2f833b1c64	bug #1509: fix computeInverseWithCheck for complexes	2018-04-04 15:47:46 +02:00
Gael Guennebaud	3ecb343dc3	Fix regression in X = (X*X.transpose())/s with X rectangular by deferring resizing of the destination after the creation of the evaluator of the source expression.	2016-10-26 22:50:41 +02:00
Benoit Steiner	59e9edfbf1	Removed EIGEN_DEVICE_FUNC qualifers for the lu(), fullPivLu(), partialPivLu(), and inverse() functions since they aren't ready to run on GPU	2016-09-19 14:13:20 -07:00
Benoit Steiner	c0d56a543e	Added several missing EIGEN_DEVICE_FUNC qualifiers	2016-09-14 14:06:21 -07:00
Gael Guennebaud	66e99ab6a1	Relax mixing-type constraints for binary coefficient-wise operators: ... - 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	2016-06-06 15:11:41 +02:00
Gael Guennebaud	92b9f0e102	Cleaning pass on evaluators: remove the useless and error prone evaluator<>::type indirection.	2015-09-02 21:38:40 +02:00
Gael Guennebaud	0ca43f7e9a	Remove deprecated code not used by evaluators	2014-09-18 15:15:27 +02:00
Gael Guennebaud	2a3c3c49a1	Fix numerous nested versus nested_eval shortcomings	2014-08-01 14:48:22 +02:00
Gael Guennebaud	cbc572caf7	Split LU/Inverse.h to Core/Inverse.h for the generic Inverse expression, and LU/InverseImpl.h for the dense implementation of dense.inverse()	2014-02-24 11:49:30 +01:00