|
NDDEM
|
A supernodal Cholesky (LLT) factorization and solver based on Cholmod. More...
#include <CholmodSupport.h>
Inheritance diagram for Eigen::CholmodSupernodalLLT< _MatrixType, _UpLo >:Public Types | |
| typedef _MatrixType | MatrixType |
Public Types inherited from Eigen::CholmodBase< _MatrixType, Lower, CholmodSupernodalLLT< _MatrixType, Lower > > | |
| enum | |
| enum | |
| typedef _MatrixType | MatrixType |
| typedef MatrixType::Scalar | Scalar |
| typedef MatrixType::RealScalar | RealScalar |
| typedef MatrixType | CholMatrixType |
| typedef MatrixType::StorageIndex | StorageIndex |
Protected Member Functions | |
| void | init () |
Protected Member Functions inherited from Eigen::CholmodBase< _MatrixType, Lower, CholmodSupernodalLLT< _MatrixType, Lower > > | |
| CholmodSupernodalLLT< _MatrixType, Lower > & | derived () |
| const CholmodSupernodalLLT< _MatrixType, Lower > & | derived () const |
Private Types | |
| typedef CholmodBase< _MatrixType, _UpLo, CholmodSupernodalLLT > | Base |
Private Attributes | |
| cholmod_common | m_cholmod |
Additional Inherited Members | |
Protected Types inherited from Eigen::CholmodBase< _MatrixType, Lower, CholmodSupernodalLLT< _MatrixType, Lower > > | |
| typedef SparseSolverBase< CholmodSupernodalLLT< _MatrixType, Lower > > | Base |
Protected Attributes inherited from Eigen::CholmodBase< _MatrixType, Lower, CholmodSupernodalLLT< _MatrixType, Lower > > | |
| cholmod_common | m_cholmod |
| cholmod_factor * | m_cholmodFactor |
| double | m_shiftOffset [2] |
| ComputationInfo | m_info |
| int | m_factorizationIsOk |
| int | m_analysisIsOk |
| bool | m_isInitialized |
Protected Attributes inherited from Eigen::SparseSolverBase< Derived > | |
| bool | m_isInitialized |
A supernodal Cholesky (LLT) factorization and solver based on Cholmod.
This class allows to solve for A.X = B sparse linear problems via a supernodal LL^T Cholesky factorization using the Cholmod library. This supernodal variant performs best on dense enough problems, e.g., 3D FEM, or very high order 2D FEM. The sparse matrix A must be selfadjoint and positive definite. 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 triangular part that will be used for the computations. It can be Lower or Upper. Default is Lower. |
\implsparsesolverconcept
This class supports all kind of SparseMatrix<>: row or column major; upper, lower, or both; compressed or non compressed.
|
private |
| typedef _MatrixType Eigen::CholmodSupernodalLLT< _MatrixType, _UpLo >::MatrixType |
|
inline |
|
inline |
|
inline |
|
inlineprotected |
|
mutableprivate |