a nested dissection factorization for symmetric positive definite sparse matrices
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#include <domainDecompositionPreconditioner.hh>
template<class StorageScalar>
class Kaskade::NestedDissection< StorageScalar >
a nested dissection factorization for symmetric positive definite sparse matrices
- Template Parameters
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StorageScalar | the floating point type used for storage of Cholesky factors |
Definition at line 209 of file domainDecompositionPreconditioner.hh.
◆ NestedDissection() [1/2]
template<class StorageScalar >
◆ NestedDissection() [2/2]
template<class StorageScalar >
template<class SparseMatrix >
Kaskade::NestedDissection< StorageScalar >::NestedDissection |
( |
SparseMatrix const & |
A, |
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size_t |
skipEntries, |
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size_t |
skipDimension |
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) |
| |
◆ flops()
template<class StorageScalar >
◆ operator=()
template<class StorageScalar >
template<class FactorizationScalar >
move assignment from different storage scalar type
Use this for compression after construction. E.g., the construction (including factorization) can be done with double precision, and the Cholesky factor be converted to single precision afterwards using this move assignment.
◆ size()
template<class StorageScalar >
◆ solve()
template<class StorageScalar >
template<class T >
◆ storageSize()
template<class StorageScalar >
◆ NestedDissection
template<class StorageScalar >
template<class FactorizationScalar >
The documentation for this class was generated from the following file: