A simplicial direct Cholesky (LDLT) factorization and solver based on Cholmod. More...
#include <CholmodSupport.h>
Inheritance diagram for Eigen::CholmodSimplicialLDLT< _MatrixType, _UpLo >:
Public Types | |
| typedef _MatrixType | MatrixType |
 Public Types inherited from Eigen::CholmodBase< _MatrixType, _UpLo, CholmodSimplicialLDLT< _MatrixType, _UpLo > > | |
| enum | |
| enum | |
| typedef _MatrixType | MatrixType |
| typedef MatrixType::Scalar | Scalar |
| typedef MatrixType::RealScalar | RealScalar |
| typedef MatrixType | CholMatrixType |
| typedef MatrixType::StorageIndex | StorageIndex |
Public Member Functions | |
| CholmodSimplicialLDLT (const MatrixType &matrix) | |
| Public Member Functions inherited from Eigen::CholmodBase< _MatrixType, _UpLo, CholmodSimplicialLDLT< _MatrixType, _UpLo > > | |
| CholmodBase (const MatrixType &matrix) | |
| StorageIndex | cols () const |
| StorageIndex | rows () const |
| ComputationInfo | info () const |
| Reports whether previous computation was successful. More... | |
| CholmodSimplicialLDLT< _MatrixType, _UpLo > & | compute (const MatrixType &matrix) |
| Computes the sparse Cholesky decomposition of matrix. | |
| void | analyzePattern (const MatrixType &matrix) |
| Performs a symbolic decomposition on the sparsity pattern of matrix. More... | |
| void | factorize (const MatrixType &matrix) |
| Performs a numeric decomposition of matrix. More... | |
| cholmod_common & | cholmod () |
| Returns a reference to the Cholmod's configuration structure to get a full control over the performed operations. More... | |
| void | _solve_impl (const MatrixBase< Rhs > &b, MatrixBase< Dest > &dest) const |
| void | _solve_impl (const SparseMatrixBase< RhsDerived > &b, SparseMatrixBase< DestDerived > &dest) const |
| CholmodSimplicialLDLT< _MatrixType, _UpLo > & | setShift (const RealScalar &offset) |
| Sets the shift parameter that will be used to adjust the diagonal coefficients during the numerical factorization. More... | |
| Scalar | determinant () const |
| Scalar | logDeterminant () const |
| void | dumpMemory (Stream &) |
| Public Member Functions inherited from Eigen::SparseSolverBase< CholmodSimplicialLDLT< _MatrixType, _UpLo > > | |
| SparseSolverBase () | |
| Default constructor. | |
| CholmodSimplicialLDLT< _MatrixType, _UpLo > & | derived () |
| const CholmodSimplicialLDLT< _MatrixType, _UpLo > & | derived () const |
| const Solve< CholmodSimplicialLDLT< _MatrixType, _UpLo >, Rhs > | solve (const MatrixBase< Rhs > &b) const |
| const Solve< CholmodSimplicialLDLT< _MatrixType, _UpLo >, Rhs > | solve (const SparseMatrixBase< Rhs > &b) const |
| void | _solve_impl (const SparseMatrixBase< Rhs > &b, SparseMatrixBase< Dest > &dest) const |
Protected Member Functions | |
| void | init () |
Additional Inherited Members | |
| Protected Types inherited from Eigen::CholmodBase< _MatrixType, _UpLo, CholmodSimplicialLDLT< _MatrixType, _UpLo > > | |
| typedef SparseSolverBase< CholmodSimplicialLDLT< _MatrixType, _UpLo > > | Base |
| Protected Attributes inherited from Eigen::CholmodBase< _MatrixType, _UpLo, CholmodSimplicialLDLT< _MatrixType, _UpLo > > | |
| cholmod_common | m_cholmod |
| cholmod_factor * | m_cholmodFactor |
| double | m_shiftOffset [2] |
| ComputationInfo | m_info |
| int | m_factorizationIsOk |
| int | m_analysisIsOk |
| Protected Attributes inherited from Eigen::SparseSolverBase< CholmodSimplicialLDLT< _MatrixType, _UpLo > > | |
| bool | m_isInitialized |
Detailed Description
template<typename _MatrixType, int _UpLo = Lower>
class Eigen::CholmodSimplicialLDLT< _MatrixType, _UpLo >
A simplicial direct Cholesky (LDLT) factorization and solver based on Cholmod.
This class allows to solve for A.X = B sparse linear problems via a simplicial LDL^T Cholesky factorization using the Cholmod library. This simplicial variant is equivalent to Eigen's built-in SimplicialLDLT class. Therefore, it has little practical interest. The sparse matrix A must be selfadjoint and positive definite. The vectors or matrices X and B can be either dense or sparse.
- Template Parameters
-
_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.
This class supports all kind of SparseMatrix<>: row or column major; upper, lower, or both; compressed or non compressed.
- Warning
- Only double precision real and complex scalar types are supported by Cholmod.
- See also
- Sparse solver concept, class CholmodSupernodalLLT, class SimplicialLDLT
The documentation for this class was generated from the following file:
- third-party-libs/eigen3/Eigen/src/CholmodSupport/CholmodSupport.h
