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TR-mbed 1.0
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The base class for the direct and incomplete LU factorization of SuperLU. More...
#include <SuperLUSupport.h>
Public Types | |
| enum | { ColsAtCompileTime = MatrixType::ColsAtCompileTime , MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime } |
| typedef _MatrixType | MatrixType |
| typedef MatrixType::Scalar | Scalar |
| typedef MatrixType::RealScalar | RealScalar |
| typedef MatrixType::StorageIndex | StorageIndex |
| typedef Matrix< Scalar, Dynamic, 1 > | Vector |
| typedef Matrix< int, 1, MatrixType::ColsAtCompileTime > | IntRowVectorType |
| typedef Matrix< int, MatrixType::RowsAtCompileTime, 1 > | IntColVectorType |
| typedef Map< PermutationMatrix< Dynamic, Dynamic, int > > | PermutationMap |
| typedef SparseMatrix< Scalar > | LUMatrixType |
Public Member Functions | |
| SuperLUBase () | |
| ~SuperLUBase () | |
| Index | rows () const |
| Index | cols () const |
| superlu_options_t & | options () |
| ComputationInfo | info () const |
| Reports whether previous computation was successful. | |
| void | compute (const MatrixType &matrix) |
| void | analyzePattern (const MatrixType &) |
| template<typename Stream > | |
| void | dumpMemory (Stream &) |
Public Member Functions inherited from Eigen::SparseSolverBase< Derived > | |
| SparseSolverBase () | |
| ~SparseSolverBase () | |
| Derived & | derived () |
| const Derived & | derived () const |
| template<typename Rhs > | |
| const Solve< Derived, Rhs > | solve (const MatrixBase< Rhs > &b) const |
| template<typename Rhs > | |
| const Solve< Derived, Rhs > | solve (const SparseMatrixBase< Rhs > &b) const |
| template<typename Rhs , typename Dest > | |
| void | _solve_impl (const SparseMatrixBase< Rhs > &b, SparseMatrixBase< Dest > &dest) const |
Protected Types | |
| typedef SparseSolverBase< Derived > | Base |
Protected Member Functions | |
| void | initFactorization (const MatrixType &a) |
| void | init () |
| void | extractData () const |
| void | clearFactors () |
| Derived & | derived () |
| const Derived & | derived () const |
Protected Attributes | |
| LUMatrixType | m_l |
| LUMatrixType | m_u |
| IntColVectorType | m_p |
| IntRowVectorType | m_q |
| LUMatrixType | m_matrix |
| SluMatrix | m_sluA |
| SuperMatrix | m_sluL |
| SuperMatrix | m_sluU |
| SluMatrix | m_sluB |
| SluMatrix | m_sluX |
| SuperLUStat_t | m_sluStat |
| superlu_options_t | m_sluOptions |
| std::vector< int > | m_sluEtree |
| Matrix< RealScalar, Dynamic, 1 > | m_sluRscale |
| Matrix< RealScalar, Dynamic, 1 > | m_sluCscale |
| Matrix< RealScalar, Dynamic, 1 > | m_sluFerr |
| Matrix< RealScalar, Dynamic, 1 > | m_sluBerr |
| char | m_sluEqued |
| ComputationInfo | m_info |
| int | m_factorizationIsOk |
| int | m_analysisIsOk |
| bool | m_extractedDataAreDirty |
| bool | m_isInitialized |
Protected Attributes inherited from Eigen::SparseSolverBase< Derived > | |
| bool | m_isInitialized |
The base class for the direct and incomplete LU factorization of SuperLU.
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| typedef Matrix<int, MatrixType::RowsAtCompileTime, 1> Eigen::SuperLUBase< _MatrixType, Derived >::IntColVectorType |
| typedef Matrix<int, 1, MatrixType::ColsAtCompileTime> Eigen::SuperLUBase< _MatrixType, Derived >::IntRowVectorType |
| typedef SparseMatrix<Scalar> Eigen::SuperLUBase< _MatrixType, Derived >::LUMatrixType |
| typedef _MatrixType Eigen::SuperLUBase< _MatrixType, Derived >::MatrixType |
| typedef Map<PermutationMatrix<Dynamic,Dynamic,int> > Eigen::SuperLUBase< _MatrixType, Derived >::PermutationMap |
| typedef MatrixType::RealScalar Eigen::SuperLUBase< _MatrixType, Derived >::RealScalar |
| typedef MatrixType::Scalar Eigen::SuperLUBase< _MatrixType, Derived >::Scalar |
| typedef MatrixType::StorageIndex Eigen::SuperLUBase< _MatrixType, Derived >::StorageIndex |
| typedef Matrix<Scalar,Dynamic,1> Eigen::SuperLUBase< _MatrixType, Derived >::Vector |
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Performs a symbolic decomposition on the sparcity of matrix.
This function is particularly useful when solving for several problems having the same structure.
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Computes the sparse Cholesky decomposition of matrix
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Reports whether previous computation was successful.
Success if computation was successful, NumericalIssue if the matrix.appears to be negative.
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