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Eigen
3.2.91
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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.
_MatrixType | the type of the sparse matrix A, it must be a SparseMatrix<> |
Inherits Eigen::PardisoImpl< Derived >.
Public Member Functions | |
Derived & | analyzePattern (const MatrixType &matrix) |
Derived & | factorize (const MatrixType &matrix) |
ComputationInfo | info () const |
Reports whether previous computation was successful. More... | |
ParameterType & | pardisoParameterArray () |
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 |
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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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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.
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Reports whether previous computation was successful.
Success
if computation was succesful, NumericalIssue
if the matrix appears to be negative.
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