template<typename _MatrixType>
class Eigen::PardisoLU< _MatrixType >
A sparse direct LU factorization and solver based on the PARDISO library.
This class allows to solve for A.X = B sparse linear problems via a direct LU factorization using the Intel MKL PARDISO library. The sparse matrix A must be squared and invertible. The vectors or matrices X and B can be either dense or sparse.
- Template Parameters
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_MatrixType | the type of the sparse matrix A, it must be a SparseMatrix<> |
- See Also
- Sparse solvers
Inherits PardisoImpl< Derived >.
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Derived & | analyzePattern (const MatrixType &matrix) |
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Derived & | factorize (const MatrixType &matrix) |
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ComputationInfo | info () const |
| Reports whether previous computation was successful. More...
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ParameterType & | pardisoParameterArray () |
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template<typename Rhs > |
const internal::solve_retval
< PardisoImpl, Rhs > | solve (const MatrixBase< Rhs > &b) const |
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template<typename Rhs > |
const
internal::sparse_solve_retval
< PardisoImpl, Rhs > | solve (const SparseMatrixBase< Rhs > &b) const |
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Derived & analyzePattern |
( |
const MatrixType & |
matrix | ) |
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inherited |
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()
Derived & factorize |
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const MatrixType & |
matrix | ) |
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inherited |
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()
Reports whether previous computation was successful.
- Returns
Success
if computation was succesful, NumericalIssue
if the matrix appears to be negative.
- Warning
- for advanced usage only.
- Returns
- a reference to the parameter array controlling PARDISO. See the PARDISO manual to know how to use it.
const internal::solve_retval<PardisoImpl, Rhs> solve |
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const MatrixBase< Rhs > & |
b | ) |
const |
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inlineinherited |
- Returns
- the solution x of
using the current decomposition of A.
- See Also
- compute()
const internal::sparse_solve_retval<PardisoImpl, Rhs> solve |
( |
const SparseMatrixBase< Rhs > & |
b | ) |
const |
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inlineinherited |
- Returns
- the solution x of
using the current decomposition of A.
- See Also
- compute()
The documentation for this class was generated from the following file: