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| enum | { ScalarIsComplex = NumTraits<Scalar>::IsComplex
, ColsAtCompileTime = Dynamic
, MaxColsAtCompileTime = Dynamic
} |
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typedef Traits::MatrixType | MatrixType |
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typedef Traits::Scalar | Scalar |
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typedef Traits::RealScalar | RealScalar |
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typedef Traits::StorageIndex | StorageIndex |
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typedef SparseMatrix< Scalar, RowMajor, StorageIndex > | SparseMatrixType |
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typedef Matrix< Scalar, Dynamic, 1 > | VectorType |
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typedef Matrix< StorageIndex, 1, MatrixType::ColsAtCompileTime > | IntRowVectorType |
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typedef Matrix< StorageIndex, MatrixType::RowsAtCompileTime, 1 > | IntColVectorType |
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typedef Array< StorageIndex, 64, 1, DontAlign > | ParameterType |
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Index | cols () const |
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Index | rows () const |
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| ComputationInfo | info () const |
| | Reports whether previous computation was successful.
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| ParameterType & | pardisoParameterArray () |
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| Derived & | analyzePattern (const MatrixType &matrix) |
| | Performs a symbolic decomposition on the sparcity of matrix.
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| Derived & | factorize (const MatrixType &matrix) |
| | Performs a numeric decomposition of matrix.
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Derived & | compute (const MatrixType &matrix) |
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template<typename Rhs , typename Dest > |
| void | _solve_impl (const MatrixBase< Rhs > &b, MatrixBase< Dest > &dest) const |
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template<typename BDerived , typename XDerived > |
| void | _solve_impl (const MatrixBase< BDerived > &b, MatrixBase< XDerived > &x) const |
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template<typename Rhs , typename Dest > |
| void | _solve_impl (const SparseMatrixBase< Rhs > &b, SparseMatrixBase< Dest > &dest) const |
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| SparseSolverBase () |
| | Default constructor.
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Derived & | derived () |
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const Derived & | derived () const |
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| template<typename Rhs > |
| const Solve< Derived, Rhs > | solve (const MatrixBase< Rhs > &b) const |
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| template<typename Rhs > |
| const Solve< Derived, Rhs > | solve (const SparseMatrixBase< Rhs > &b) const |
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template<typename Rhs , typename Dest > |
| void | _solve_impl (const SparseMatrixBase< Rhs > &b, SparseMatrixBase< Dest > &dest) const |
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◆ 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()
◆ 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.
◆ 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.
The documentation for this class was generated from the following file: