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| CholmodSimplicialLDLT () |
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| CholmodSimplicialLDLT (const MatrixType &matrix) |
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| ~CholmodSimplicialLDLT () |
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void | _solve_impl (const MatrixBase< Rhs > &b, MatrixBase< Dest > &dest) const |
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void | _solve_impl (const SparseMatrixBase< RhsDerived > &b, SparseMatrixBase< DestDerived > &dest) const |
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void | analyzePattern (const MatrixType &matrix) |
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cholmod_common & | cholmod () |
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| CholmodBase () |
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| CholmodBase (const MatrixType &matrix) |
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StorageIndex | cols () const |
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CholmodSimplicialLDLT< _MatrixType, Lower > & | compute (const MatrixType &matrix) |
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Scalar | determinant () const |
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void | dumpMemory (Stream &) |
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void | factorize (const MatrixType &matrix) |
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ComputationInfo | info () const |
| Reports whether previous computation was successful. More...
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Scalar | logDeterminant () const |
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StorageIndex | rows () const |
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CholmodSimplicialLDLT< _MatrixType, Lower > & | setShift (const RealScalar &offset) |
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| ~CholmodBase () |
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void | _solve_impl (const SparseMatrixBase< Rhs > &b, SparseMatrixBase< Dest > &dest) const |
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CholmodSimplicialLDLT< _MatrixType, Lower > & | derived () |
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const CholmodSimplicialLDLT< _MatrixType, Lower > & | derived () const |
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const Solve< CholmodSimplicialLDLT< _MatrixType, Lower >, Rhs > | solve (const MatrixBase< Rhs > &b) const |
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const Solve< CholmodSimplicialLDLT< _MatrixType, Lower >, Rhs > | solve (const SparseMatrixBase< Rhs > &b) const |
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| SparseSolverBase () |
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| ~SparseSolverBase () |
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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
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_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.
- Warning
- Only double precision real and complex scalar types are supported by Cholmod.
- See also
- Sparse solver concept, class CholmodSupernodalLLT, class SimplicialLDLT
Definition at line 528 of file CholmodSupport.h.