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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 | inline | 
Definition at line 66 of file SuiteSparseQRSupport.h.
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 | inline | 
Definition at line 74 of file SuiteSparseQRSupport.h.
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 | inline | 
Definition at line 83 of file SuiteSparseQRSupport.h.
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 | inline | 
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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 | inline | 
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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 | inline | 
Get an expression of the matrix Q.
Definition at line 166 of file SuiteSparseQRSupport.h.
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 | inline | 
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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 | inline | 
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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 | inline | 
Set the fill-reducing ordering method to be used.
Definition at line 190 of file SuiteSparseQRSupport.h.
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 | inline | 
 using the current decomposition of A.
 using the current decomposition of A.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.