// This file is part of Eigen, a lightweight C++ template library // for linear algebra. // // Copyright (C) 2012 Désiré Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr> // Copyright (C) 2012 Gael Guennebaud <gael.guennebaud@inria.fr> // // This Source Code Form is subject to the terms of the Mozilla // Public License v. 2.0. If a copy of the MPL was not distributed // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
template <int SegSizeAtCompileTime> struct LU_kernel_bmod
{ /** \internal * \brief Performs numeric block updates from a given supernode to a single column * * \param segsize Size of the segment (and blocks ) to use for updates * \param[in,out] dense Packed values of the original matrix * \param tempv temporary vector to use for updates * \param lusup array containing the supernodes * \param lda Leading dimension in the supernode * \param nrow Number of rows in the rectangular part of the supernode * \param lsub compressed row subscripts of supernodes * \param lptr pointer to the first column of the current supernode in lsub * \param no_zeros Number of nonzeros elements before the diagonal part of the supernode
*/ template <typename BlockScalarVector, typename ScalarVector, typename IndexVector> static EIGEN_DONT_INLINE void run(const Index segsize, BlockScalarVector& dense, ScalarVector& tempv, ScalarVector& lusup, Index& luptr, const Index lda, const Index nrow, IndexVector& lsub, const Index lptr, const Index no_zeros);
};
template <int SegSizeAtCompileTime> template <typename BlockScalarVector, typename ScalarVector, typename IndexVector>
EIGEN_DONT_INLINE void LU_kernel_bmod<SegSizeAtCompileTime>::run(const Index segsize, BlockScalarVector& dense, ScalarVector& tempv, ScalarVector& lusup, Index& luptr, const Index lda, const Index nrow, IndexVector& lsub, const Index lptr, const Index no_zeros)
{ typedeftypename ScalarVector::Scalar Scalar; // First, copy U[*,j] segment from dense(*) to tempv(*) // The result of triangular solve is in tempv[*]; // The result of matric-vector update is in dense[*]
Index isub = lptr + no_zeros;
Index i;
Index irow; for (i = 0; i < ((SegSizeAtCompileTime==Dynamic)?segsize:SegSizeAtCompileTime); i++)
{
irow = lsub(isub);
tempv(i) = dense(irow);
++isub;
} // Dense triangular solve -- start effective triangle
luptr += lda * no_zeros + no_zeros; // Form Eigen matrix and vector
Map<Matrix<Scalar,SegSizeAtCompileTime,SegSizeAtCompileTime, ColMajor>, 0, OuterStride<> > A( &(lusup.data()[luptr]), segsize, segsize, OuterStride<>(lda) );
Map<Matrix<Scalar,SegSizeAtCompileTime,1> > u(tempv.data(), segsize);
u = A.template triangularView<UnitLower>().solve(u);
// Dense matrix-vector product y <-- B*x
luptr += segsize; const Index PacketSize = internal::packet_traits<Scalar>::size;
Index ldl = internal::first_multiple(nrow, PacketSize);
Map<Matrix<Scalar,Dynamic,SegSizeAtCompileTime, ColMajor>, 0, OuterStride<> > B( &(lusup.data()[luptr]), nrow, segsize, OuterStride<>(lda) );
Index aligned_offset = internal::first_default_aligned(tempv.data()+segsize, PacketSize);
Index aligned_with_B_offset = (PacketSize-internal::first_default_aligned(B.data(), PacketSize))%PacketSize;
Map<Matrix<Scalar,Dynamic,1>, 0, OuterStride<> > l(tempv.data()+segsize+aligned_offset+aligned_with_B_offset, nrow, OuterStride<>(ldl) );
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