Sparse QR factorization based on SuiteSparseQR library. More...
#include <SuiteSparseQRSupport.h>
Public Types | |
typedef UF_long | Index |
typedef SparseMatrix< Scalar, ColMajor, Index > | MatrixType |
typedef PermutationMatrix< Dynamic, Dynamic > | PermutationType |
typedef _MatrixType::RealScalar | RealScalar |
typedef _MatrixType::Scalar | Scalar |
Public Member Functions | |
template<typename Rhs , typename Dest > | |
void | _solve (const MatrixBase< Rhs > &b, MatrixBase< Dest > &dest) const |
cholmod_common * | cholmodCommon () const |
Index | cols () const |
PermutationType | colsPermutation () const |
Get the permutation that was applied to columns of A. More... | |
void | compute (const _MatrixType &matrix) |
ComputationInfo | info () const |
Reports whether previous computation was successful. More... | |
SPQRMatrixQReturnType< SPQR > | matrixQ () const |
Get an expression of the matrix Q. More... | |
const MatrixType | matrixR () const |
Index | rank () const |
Index | rows () const |
void | setPivotThreshold (const RealScalar &tol) |
Set the tolerance tol to treat columns with 2-norm < =tol as zero. More... | |
void | setSPQROrdering (int ord) |
Set the fill-reducing ordering method to be used. More... | |
template<typename Rhs > | |
const internal::solve_retval< SPQR, Rhs > | solve (const MatrixBase< Rhs > &B) const |
SPQR () | |
SPQR (const _MatrixType &matrix) | |
~SPQR () | |
Protected Attributes | |
int | m_allow_tol |
bool | m_analysisIsOk |
cholmod_common | m_cc |
cholmod_sparse * | m_cR |
Index * | m_E |
bool | m_factorizationIsOk |
cholmod_sparse * | m_H |
Index * | m_HPinv |
cholmod_dense * | m_HTau |
ComputationInfo | m_info |
bool | m_isInitialized |
bool | m_isRUpToDate |
int | m_ordering |
MatrixType | m_R |
Index | m_rank |
RealScalar | m_tolerance |
Friends | |
template<typename , typename > | |
struct | SPQR_QProduct |
Sparse QR factorization based on SuiteSparseQR library.
This class is used to perform a multithreaded and multifrontal rank-revealing QR decomposition of sparse matrices. The result is then used to solve linear leasts_square systems. Clearly, a QR factorization is returned such that A*P = Q*R where :
P is the column permutation. Use colsPermutation() to get it.
Q is the orthogonal matrix represented as Householder reflectors. Use matrixQ() to get an expression and matrixQ().transpose() to get the transpose. You can then apply it to a vector.
R is the sparse triangular factor. Use matrixQR() to get it as SparseMatrix. NOTE : The Index type of R is always UF_long. You can get it with SPQR::Index
_MatrixType | The type of the sparse matrix A, must be a column-major SparseMatrix<> NOTE |
Definition at line 15 of file SuiteSparseQRSupport.h.
typedef UF_long Eigen::SPQR< _MatrixType >::Index |
Definition at line 62 of file SuiteSparseQRSupport.h.
typedef SparseMatrix<Scalar, ColMajor, Index> Eigen::SPQR< _MatrixType >::MatrixType |
Definition at line 63 of file SuiteSparseQRSupport.h.
typedef PermutationMatrix<Dynamic, Dynamic> Eigen::SPQR< _MatrixType >::PermutationType |
Definition at line 64 of file SuiteSparseQRSupport.h.
typedef _MatrixType::RealScalar Eigen::SPQR< _MatrixType >::RealScalar |
Definition at line 61 of file SuiteSparseQRSupport.h.
typedef _MatrixType::Scalar Eigen::SPQR< _MatrixType >::Scalar |
Definition at line 60 of file SuiteSparseQRSupport.h.
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Definition at line 66 of file SuiteSparseQRSupport.h.
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Definition at line 74 of file SuiteSparseQRSupport.h.
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Definition at line 83 of file SuiteSparseQRSupport.h.
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Definition at line 136 of file SuiteSparseQRSupport.h.
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Definition at line 195 of file SuiteSparseQRSupport.h.
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Get the number of columns of the input matrix.
Definition at line 120 of file SuiteSparseQRSupport.h.
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Get the permutation that was applied to columns of A.
Definition at line 171 of file SuiteSparseQRSupport.h.
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Definition at line 93 of file SuiteSparseQRSupport.h.
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Reports whether previous computation was successful.
Success
if computation was succesful, NumericalIssue
if the sparse QR can not be computed Definition at line 203 of file SuiteSparseQRSupport.h.
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Get an expression of the matrix Q.
Definition at line 166 of file SuiteSparseQRSupport.h.
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Definition at line 156 of file SuiteSparseQRSupport.h.
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Gets the rank of the matrix. It should be equal to matrixQR().cols if the matrix is full-rank
Definition at line 184 of file SuiteSparseQRSupport.h.
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Get the number of rows of the input matrix and the Q matrix
Definition at line 115 of file SuiteSparseQRSupport.h.
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Set the tolerance tol to treat columns with 2-norm < =tol as zero.
Definition at line 192 of file SuiteSparseQRSupport.h.
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Set the fill-reducing ordering method to be used.
Definition at line 190 of file SuiteSparseQRSupport.h.
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Definition at line 127 of file SuiteSparseQRSupport.h.
Definition at line 225 of file SuiteSparseQRSupport.h.
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Definition at line 215 of file SuiteSparseQRSupport.h.
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Definition at line 210 of file SuiteSparseQRSupport.h.
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Definition at line 224 of file SuiteSparseQRSupport.h.
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Definition at line 217 of file SuiteSparseQRSupport.h.
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Definition at line 219 of file SuiteSparseQRSupport.h.
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Definition at line 211 of file SuiteSparseQRSupport.h.
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Definition at line 220 of file SuiteSparseQRSupport.h.
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Definition at line 221 of file SuiteSparseQRSupport.h.
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Definition at line 222 of file SuiteSparseQRSupport.h.
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Definition at line 213 of file SuiteSparseQRSupport.h.
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Definition at line 209 of file SuiteSparseQRSupport.h.
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Definition at line 212 of file SuiteSparseQRSupport.h.
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Definition at line 214 of file SuiteSparseQRSupport.h.
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Definition at line 218 of file SuiteSparseQRSupport.h.
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Definition at line 223 of file SuiteSparseQRSupport.h.
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Definition at line 216 of file SuiteSparseQRSupport.h.