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Desire NUENTSA 2012-06-15 17:23:54 +02:00
parent 0c9b08e46e
commit f0c34c6822
1 changed files with 9 additions and 7 deletions
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16
Eigen/src/SparseLU/SparseLU.h
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@ -130,9 +130,10 @@ class SparseLU
}
template<typename Rhs, typename Dest>
bool _solve(const MatrixBase<Rhs> &B, MatrixBase<Dest> &X) const
{
eigen_assert(m_isInitialized && "The matrix should be factorized first");
bool _solve(const MatrixBase<Rhs> &B, MatrixBase<Dest> &_X) const
{
Dest& X(_X.derived());
eigen_assert(m_factorizationIsOk && "The matrix should be factorized first");
EIGEN_STATIC_ASSERT((Dest::Flags&RowMajorBit)==0,
THIS_METHOD_IS_ONLY_FOR_COLUMN_MAJOR_MATRICES);
@ -184,7 +185,8 @@ class SparseLU
// Triangular solve
Map<const Matrix<Scalar,Dynamic,Dynamic>, 0, OuterStride<> > A( &(Lval[luptr]), nsupc, nsupc, OuterStride<>(nsupr) );
Block<Dest > U(X, fsupc, 0, nsupc, nrhs); //FIXME TODO Consider more RHS
Map< Matrix<Scalar,Dynamic,Dynamic>, 0, OuterStride<> > U (&(X.data()[fsupc]), nsupc, nrhs, OuterStride<>(X.rows()) );
// Block<MatrixBase<Dest> > U(X, fsupc, 0, nsupc, nrhs); //FIXME TODO Consider more RHS
U = A.template triangularView<Lower>().solve(U);
// Matrix-vector product
@ -225,7 +227,7 @@ class SparseLU
else
{
Map<const Matrix<Scalar,Dynamic,Dynamic>, 0, OuterStride<> > A( &(Lval[luptr]), nsupc, nsupc, OuterStride<>(nsupr) );
Block<const Dest> U(X, fsupc, 0, nsupc, nrhs);
Map< Matrix<Scalar,Dynamic,Dynamic>, 0, OuterStride<> > U (&(X.data()[fsupc]), nsupc, nrhs, OuterStride<>(X.rows()) );
U = A.template triangularView<Upper>().solve(U);
}
@ -576,7 +578,7 @@ void SparseLU<MatrixType, OrderingType>::factorize(const MatrixType& matrix)
VectorBlock<IndexVector> panel_lsubk(panel_lsub, k, m);
VectorBlock<IndexVector> repfnz_k(repfnz, k, m);
info = LU_column_dfs(m, jj, m_perm_r.indices(), m_maxsuper, nseg, panel_lsubk, segrep, repfnz_k, xprune, marker, parent, xplore, m_glu);
if ( !info )
if ( info )
{
std::cerr << "UNABLE TO EXPAND MEMORY IN COLUMN_DFS() \n";
m_info = NumericalIssue;
@ -585,7 +587,7 @@ void SparseLU<MatrixType, OrderingType>::factorize(const MatrixType& matrix)
}
// Numeric updates to this column
VectorBlock<ScalarVector> dense_k(dense, k, m);
VectorBlock<IndexVector> segrep_k(segrep, nseg1, m);
VectorBlock<IndexVector> segrep_k(segrep, nseg1, m-nseg1);
info = LU_column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu);
if ( info )
{