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Refactoring codes for numeric updates
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@@ -388,6 +388,7 @@ void SparseLU<MatrixType, OrderingType>::analyzePattern(const MatrixType& mat)
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#include "SparseLU_snode_bmod.h"
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#include "SparseLU_pivotL.h"
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#include "SparseLU_panel_dfs.h"
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#include "SparseLU_kernel_bmod.h"
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#include "SparseLU_panel_bmod.h"
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#include "SparseLU_column_dfs.h"
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#include "SparseLU_column_bmod.h"
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@@ -66,7 +66,7 @@ int LU_column_bmod(const int jcol, const int nseg, BlockScalarVector& dense, Sca
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typedef typename IndexVector::Scalar Index;
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typedef typename ScalarVector::Scalar Scalar;
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int jsupno, k, ksub, krep, ksupno;
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int lptr, nrow, isub, i, irow, nextlu, new_next, ufirst;
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int lptr, nrow, isub, irow, nextlu, new_next, ufirst;
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int fsupc, nsupc, nsupr, luptr, kfnz, no_zeros;
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/* krep = representative of current k-th supernode
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* fsupc = first supernodal column
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@@ -122,46 +122,7 @@ int LU_column_bmod(const int jcol, const int nseg, BlockScalarVector& dense, Sca
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// Perform a triangular solver and block update,
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// then scatter the result of sup-col update to dense
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no_zeros = kfnz - fst_col;
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// First, copy U[*,j] segment from dense(*) to tempv(*)
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isub = lptr + no_zeros;
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for (i = 0; i < segsize; i++)
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{
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irow = lsub(isub);
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tempv(i) = dense(irow);
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++isub;
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}
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// Dense triangular solve -- start effective triangle
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luptr += nsupr * no_zeros + no_zeros;
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// Form Eigen matrix and vector
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Map<Matrix<Scalar,Dynamic,Dynamic>, 0, OuterStride<> > A( &(lusup.data()[luptr]), segsize, segsize, OuterStride<>(nsupr) );
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VectorBlock<ScalarVector> u(tempv, 0, segsize);
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u = A.template triangularView<UnitLower>().solve(u);
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// Dense matrix-vector product y <-- A*x
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luptr += segsize;
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new (&A) Map<Matrix<Scalar,Dynamic, Dynamic>, 0, OuterStride<> > ( &(lusup.data()[luptr]), nrow, segsize, OuterStride<>(nsupr) );
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VectorBlock<ScalarVector> l(tempv, segsize, nrow);
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l= A * u;
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// Scatter tempv[] into SPA dense[] as a temporary storage
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isub = lptr + no_zeros;
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for (i = 0; i < segsize; i++)
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{
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irow = lsub(isub);
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dense(irow) = tempv(i);
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tempv(i) = Scalar(0.0);
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++isub;
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}
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// Scatter l into SPA dense[]
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for (i = 0; i < nrow; i++)
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{
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irow = lsub(isub);
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dense(irow) -= l(i);
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l(i) = Scalar(0.0);
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++isub;
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}
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LU_kernel_bmod(segsize, dense, tempv, lusup, luptr, nsupr, nrow, lsub, lptr, no_zeros);
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} // end if jsupno
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} // end for each segment
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92
Eigen/src/SparseLU/SparseLU_kernel_bmod.h
Normal file
92
Eigen/src/SparseLU/SparseLU_kernel_bmod.h
Normal file
@@ -0,0 +1,92 @@
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2012 Désiré Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 3 of the License, or (at your option) any later version.
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//
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// Alternatively, you can redistribute it and/or
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// modify it under the terms of the GNU General Public License as
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// published by the Free Software Foundation; either version 2 of
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// the License, or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#ifndef SPARSELU_KERNEL_BMOD_H
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#define SPARSELU_KERNEL_BMOD_H
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/**
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* \brief Performs numeric block updates from a given supernode to a single column
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*
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* \param segsize Size of the segment (and blocks ) to use for updates
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* \param [in,out]dense Packed values of the original matrix
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* \param tempv temporary vector to use for updates
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* \param lusup array containing the supernodes
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* \param nsupr Number of rows in the supernode
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* \param nrow Number of rows in the rectangular part of the supernode
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* \param lsub compressed row subscripts of supernodes
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* \param lptr pointer to the first column of the current supernode in lsub
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* \param no_zeros Number of nonzeros elements before the diagonal part of the supernode
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* \return 0 on success
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*/
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template <typename BlockScalarVector, typename ScalarVector, typename IndexVector>
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int LU_kernel_bmod(const int segsize, BlockScalarVector& dense, ScalarVector& tempv, ScalarVector& lusup, int& luptr, const int nsupr, const int nrow, IndexVector& lsub, const int lptr, const int no_zeros)
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{
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typedef typename ScalarVector::Scalar Scalar;
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// First, copy U[*,j] segment from dense(*) to tempv(*)
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// The result of triangular solve is in tempv[*];
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// The result of matric-vector update is in dense[*]
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int isub = lptr + no_zeros;
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int i, irow;
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for (i = 0; i < segsize; i++)
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{
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irow = lsub(isub);
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tempv(i) = dense(irow);
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++isub;
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}
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// Dense triangular solve -- start effective triangle
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luptr += nsupr * no_zeros + no_zeros;
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// Form Eigen matrix and vector
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Map<Matrix<Scalar,Dynamic,Dynamic>, 0, OuterStride<> > A( &(lusup.data()[luptr]), segsize, segsize, OuterStride<>(nsupr) );
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VectorBlock<ScalarVector> u(tempv, 0, segsize);
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u = A.template triangularView<UnitLower>().solve(u);
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// Dense matrix-vector product y <-- A*x
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luptr += segsize;
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new (&A) Map<Matrix<Scalar,Dynamic, Dynamic>, 0, OuterStride<> > ( &(lusup.data()[luptr]), nrow, segsize, OuterStride<>(nsupr) );
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VectorBlock<ScalarVector> l(tempv, segsize, nrow);
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l= A * u;
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// Scatter tempv[] into SPA dense[] as a temporary storage
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isub = lptr + no_zeros;
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for (i = 0; i < segsize; i++)
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{
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irow = lsub(isub);
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dense(irow) = tempv(i);
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tempv(i) = Scalar(0.0);
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++isub;
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}
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// Scatter l into SPA dense[]
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for (i = 0; i < nrow; i++)
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{
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irow = lsub(isub);
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dense(irow) -= l(i);
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l(i) = Scalar(0.0);
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++isub;
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}
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return 0;
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}
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#endif
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@@ -73,12 +73,12 @@ void LU_panel_bmod(const int m, const int w, const int jcol, const int nseg, Sca
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IndexVector& xlusup = glu.xlusup;
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ScalarVector& lusup = glu.lusup;
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int i,ksub,jj,nextl_col,irow;
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int ksub,jj,nextl_col;
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int fsupc, nsupc, nsupr, nrow;
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int krep, kfnz;
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int lptr; // points to the row subscripts of a supernode
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int luptr; // ...
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int segsize,no_zeros,isub ;
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int segsize,no_zeros ;
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// For each nonz supernode segment of U[*,j] in topological order
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int k = nseg - 1;
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for (ksub = 0; ksub < nseg; ksub++)
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@@ -118,52 +118,7 @@ void LU_panel_bmod(const int m, const int w, const int jcol, const int nseg, Sca
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// Perform a trianglar solve and block update,
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// then scatter the result of sup-col update to dense[]
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no_zeros = kfnz - fsupc;
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// First Copy U[*,j] segment from dense[*] to tempv[*] :
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// The result of triangular solve is in tempv[*];
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// The result of matric-vector update is in dense_col[*]
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isub = lptr + no_zeros;
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for (i = 0; i < segsize; ++i)
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{
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irow = lsub(isub);
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tempv(i) = dense_col(irow); // Gather to a compact vector
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++isub;
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}
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// Start effective triangle
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luptr += nsupr * no_zeros + no_zeros;
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// triangular solve with Eigen
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Map<Matrix<Scalar,Dynamic, Dynamic>, 0, OuterStride<> > A( &(lusup.data()[luptr]), segsize, segsize, OuterStride<>(nsupr) );
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VectorBlock<ScalarVector> u(tempv, 0, segsize);
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u = A.template triangularView<UnitLower>().solve(u);
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luptr += segsize;
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// Dense Matrix vector product y <-- A*x;
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new (&A) Map<Matrix<Scalar,Dynamic, Dynamic>, 0, OuterStride<> > ( &(lusup.data()[luptr]), nrow, segsize, OuterStride<>(nsupr) );
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VectorBlock<ScalarVector> l(tempv, segsize, nrow);
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l= A * u;
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// Scatter tempv(*) into SPA dense(*) such that tempv(*)
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// can be used for the triangular solve of the next
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// column of the panel. The y will be copied into ucol(*)
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// after the whole panel has been finished... after column_dfs() and column_bmod()
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isub = lptr + no_zeros;
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for (i = 0; i < segsize; i++)
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{
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irow = lsub(isub);
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dense_col(irow) = tempv(i);
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tempv(i) = Scalar(0.0);
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isub++;
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}
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// Scatter the update from &tempv[segsize] into SPA dense(*)
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// Start dense rectangular L
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for (i = 0; i < nrow; i++)
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{
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irow = lsub(isub);
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dense_col(irow) -= l(i);
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l(i) = Scalar(0);
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++isub;
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}
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LU_kernel_bmod(segsize, dense_col, tempv, lusup, luptr, nsupr, nrow, lsub, lptr, no_zeros);
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} // End for each column in the panel
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} // End for each updating supernode
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