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Eigen
3.3.7
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A sparse direct Cholesky (LLT) factorization and solver based on the PARDISO library.
This class allows to solve for A.X = B sparse linear problems via a LL^T Cholesky factorization using the Intel MKL PARDISO library. The sparse matrix A must be selfajoint and positive definite. The vectors or matrices X and B can be either dense or sparse.
By default, it runs in in-core mode. To enable PARDISO's out-of-core feature, set:
MatrixType | the type of the sparse matrix A, it must be a SparseMatrix<> |
UpLo | can be any bitwise combination of Upper, Lower. The default is Upper, meaning only the upper triangular part has to be used. Upper|Lower can be used to tell both triangular parts can be used as input. |
This class follows the sparse solver concept .
Inherits Eigen::PardisoImpl< Derived >.
Additional Inherited Members | |
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Derived & | analyzePattern (const MatrixType &matrix) |
Derived & | factorize (const MatrixType &matrix) |
ComputationInfo | info () const |
Reports whether previous computation was successful. More... | |
ParameterType & | pardisoParameterArray () |
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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 |
SparseSolverBase () | |