|
| CholmodDecomposition () |
|
| CholmodDecomposition (const MatrixType &matrix) |
|
void | setMode (CholmodMode mode) |
|
| ~CholmodDecomposition () |
|
void | _solve_impl (const MatrixBase< Rhs > &b, MatrixBase< Dest > &dest) const |
|
void | _solve_impl (const SparseMatrixBase< RhsDerived > &b, SparseMatrixBase< DestDerived > &dest) const |
|
void | analyzePattern (const MatrixType &matrix) |
|
cholmod_common & | cholmod () |
|
| CholmodBase () |
|
| CholmodBase (const MatrixType &matrix) |
|
StorageIndex | cols () const |
|
CholmodDecomposition< _MatrixType, _UpLo > & | compute (const MatrixType &matrix) |
|
Scalar | determinant () const |
|
void | dumpMemory (Stream &) |
|
void | factorize (const MatrixType &matrix) |
|
ComputationInfo | info () const |
| Reports whether previous computation was successful. More...
|
|
Scalar | logDeterminant () const |
|
StorageIndex | rows () const |
|
CholmodDecomposition< _MatrixType, _UpLo > & | setShift (const RealScalar &offset) |
|
| ~CholmodBase () |
|
void | _solve_impl (const SparseMatrixBase< Rhs > &b, SparseMatrixBase< Dest > &dest) const |
|
CholmodDecomposition< _MatrixType, _UpLo > & | derived () |
|
const CholmodDecomposition< _MatrixType, _UpLo > & | derived () const |
|
const Solve< CholmodDecomposition< _MatrixType, _UpLo >, Rhs > | solve (const MatrixBase< Rhs > &b) const |
|
const Solve< CholmodDecomposition< _MatrixType, _UpLo >, Rhs > | solve (const SparseMatrixBase< Rhs > &b) const |
|
| SparseSolverBase () |
|
| ~SparseSolverBase () |
|
template<typename _MatrixType, int _UpLo = Lower>
class Eigen::CholmodDecomposition< _MatrixType, _UpLo >
A general Cholesky factorization and solver based on Cholmod.
This class allows to solve for A.X = B sparse linear problems via a LL^T or LDL^T Cholesky factorization using the Cholmod library. The sparse matrix A must be selfadjoint and positive definite. The vectors or matrices X and B can be either dense or sparse.
This variant permits to change the underlying Cholesky method at runtime. On the other hand, it does not provide access to the result of the factorization. The default is to let Cholmod automatically choose between a simplicial and supernodal factorization.
- 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
Definition at line 628 of file CholmodSupport.h.