#include <PardisoSupport.h>
|
| enum | { ScalarIsComplex = NumTraits<Scalar>::IsComplex
, ColsAtCompileTime = Dynamic
, MaxColsAtCompileTime = Dynamic
} |
| |
| typedef Traits::MatrixType | MatrixType |
| |
| typedef Traits::Scalar | Scalar |
| |
| typedef Traits::RealScalar | RealScalar |
| |
| typedef Traits::StorageIndex | StorageIndex |
| |
| typedef SparseMatrix< Scalar, RowMajor, StorageIndex > | SparseMatrixType |
| |
| typedef Matrix< Scalar, Dynamic, 1 > | VectorType |
| |
| typedef Matrix< StorageIndex, 1, MatrixType::ColsAtCompileTime > | IntRowVectorType |
| |
| typedef Matrix< StorageIndex, MatrixType::RowsAtCompileTime, 1 > | IntColVectorType |
| |
| typedef Array< StorageIndex, 64, 1, DontAlign > | ParameterType |
| |
|
| | PardisoImpl () |
| |
| | ~PardisoImpl () |
| |
| Index | cols () const |
| |
| Index | rows () const |
| |
| ComputationInfo | info () const |
| | Reports whether previous computation was successful.
|
| |
| ParameterType & | pardisoParameterArray () |
| |
| Derived & | analyzePattern (const MatrixType &matrix) |
| |
| Derived & | factorize (const MatrixType &matrix) |
| |
| Derived & | compute (const MatrixType &matrix) |
| |
| template<typename Rhs , typename Dest > |
| void | _solve_impl (const MatrixBase< Rhs > &b, MatrixBase< Dest > &dest) const |
| |
| template<typename BDerived , typename XDerived > |
| void | _solve_impl (const MatrixBase< BDerived > &b, MatrixBase< XDerived > &x) const |
| |
| template<typename Rhs , typename Dest > |
| void | _solve_impl (const SparseMatrixBase< Rhs > &b, SparseMatrixBase< Dest > &dest) const |
| |
| | 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 |
| |
◆ Base
◆ IntColVectorType
◆ IntRowVectorType
◆ MatrixType
◆ ParameterType
◆ RealScalar
◆ Scalar
◆ SparseMatrixType
◆ StorageIndex
◆ Traits
◆ VectorType
◆ anonymous enum
| Enumerator |
|---|
| ScalarIsComplex | |
| ColsAtCompileTime | |
| MaxColsAtCompileTime | |
◆ PardisoImpl()
◆ ~PardisoImpl()
◆ _solve_impl() [1/3]
template<class Derived >
template<typename BDerived , typename XDerived >
◆ _solve_impl() [2/3]
template<class Derived >
template<typename Rhs , typename Dest >
◆ _solve_impl() [3/3]
template<class Derived >
template<typename Rhs , typename Dest >
◆ analyzePattern()
Performs a symbolic decomposition on the sparcity of matrix.
This function is particularly useful when solving for several problems having the same structure.
- See also
- factorize()
◆ cols()
◆ compute()
◆ derived() [1/2]
◆ derived() [2/2]
◆ factorize()
Performs a numeric decomposition of matrix
The given matrix must has the same sparcity than the matrix on which the symbolic decomposition has been performed.
- See also
- analyzePattern()
◆ info()
Reports whether previous computation was successful.
- Returns
Success if computation was successful, NumericalIssue if the matrix appears to be negative.
◆ manageErrorCode()
◆ pardisoInit()
◆ pardisoParameterArray()
- Warning
- for advanced usage only.
- Returns
- a reference to the parameter array controlling PARDISO. See the PARDISO manual to know how to use it.
◆ pardisoRelease()
◆ rows()
◆ m_analysisIsOk
◆ m_factorizationIsOk
◆ m_info
◆ m_iparm
◆ m_isInitialized
◆ m_matrix
◆ m_msglvl
◆ m_perm
◆ m_pt
◆ m_size
◆ m_type
The documentation for this class was generated from the following file: