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Ginkgo Generated from branch based on main. Ginkgo version 1.10.0
A numerical linear algebra library targeting many-core architectures
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The Preconditioner namespace. More...
Classes | |
| struct | block_interleaved_storage_scheme |
| Defines the parameters of the interleaved block storage scheme used by block-Jacobi blocks. More... | |
| class | GaussSeidel |
| This class generates the Gauss-Seidel preconditioner. More... | |
| class | Ic |
| The Incomplete Cholesky (IC) preconditioner solves the equation | |
| class | Ilu |
| The Incomplete LU (ILU) preconditioner solves the equation | |
| class | Isai |
| The Incomplete Sparse Approximate Inverse (ISAI) Preconditioner generates an approximate inverse matrix for a given square matrix A, lower triangular matrix L, upper triangular matrix U or symmetric positive (spd) matrix B. More... | |
| class | Jacobi |
| A block-Jacobi preconditioner is a block-diagonal linear operator, obtained by inverting the diagonal blocks of the source operator. More... | |
| class | Sor |
| This class generates the (S)SOR preconditioner. More... | |
Typedefs | |
| template<typename ValueType = default_precision, typename IndexType = int32> | |
| using | LowerIsai = Isai<isai_type::lower, ValueType, IndexType> |
| template<typename ValueType = default_precision, typename IndexType = int32> | |
| using | UpperIsai = Isai<isai_type::upper, ValueType, IndexType> |
| template<typename ValueType = default_precision, typename IndexType = int32> | |
| using | GeneralIsai = Isai<isai_type::general, ValueType, IndexType> |
| template<typename ValueType = default_precision, typename IndexType = int32> | |
| using | SpdIsai = Isai<isai_type::spd, ValueType, IndexType> |
Enumerations | |
| enum struct | isai_type { lower , upper , general , spd } |
| This enum lists the types of the ISAI preconditioner. More... | |
The Preconditioner namespace.
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strong |
This enum lists the types of the ISAI preconditioner.
ISAI can either be generated for a general square matrix, a lower triangular matrix, an upper triangular matrix or an spd matrix.