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Eigen
3.3.3
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A sparse direct supernodal Cholesky (LLT) factorization and solver based on the PaStiX library.
This class is used to solve the linear systems A.X = B via a LDL^T supernodal Cholesky factorization available in the PaStiX library. The matrix A should be symmetric and positive definite WARNING Selfadjoint complex matrices are not supported in the current version of PaStiX 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<> |
UpLo | The part of the matrix to use : Lower or Upper. The default is Lower as required by PaStiX |
This class follows the sparse solver concept .
Inherits Eigen::PastixBase< Derived >.
Public Member Functions | |
void | analyzePattern (const MatrixType &matrix) |
void | compute (const MatrixType &matrix) |
void | factorize (const MatrixType &matrix) |
void Eigen::PastixLDLT< _MatrixType, _UpLo >::analyzePattern | ( | const MatrixType & | matrix | ) | [inline] |
Compute the LDL^T symbolic factorization of matrix
using its sparsity pattern The result of this operation can be used with successive matrices having the same pattern as matrix
void Eigen::PastixLDLT< _MatrixType, _UpLo >::compute | ( | const MatrixType & | matrix | ) | [inline] |
Compute the L and D factors of the LDL^T factorization of matrix
void Eigen::PastixLDLT< _MatrixType, _UpLo >::factorize | ( | const MatrixType & | matrix | ) | [inline] |
Compute the LDL^T supernodal numerical factorization of matrix