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MFEM
v4.5.1
Finite element discretization library
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MFEM
v4.5.1
Finite element discretization library
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#include <ginkgo.hpp>
Public Member Functions | |
| IluIsaiPreconditioner (GinkgoExecutor &exec, const std::string &factorization_type="exact", const int sweeps=0, const int sparsity_power=1, const bool skip_sort=false) | |
 Public Member Functions inherited from mfem::Ginkgo::GinkgoPreconditioner | |
| GinkgoPreconditioner (GinkgoExecutor &exec) | |
| virtual | ~GinkgoPreconditioner ()=default |
| virtual void | SetOperator (const Operator &op) |
| virtual void | Mult (const Vector &x, Vector &y) const |
| const std::shared_ptr < gko::LinOpFactory > | GetFactory () const |
| const std::shared_ptr< gko::LinOp > | GetGeneratedPreconditioner () const |
| bool | HasGeneratedPreconditioner () const |
| Public Member Functions inherited from mfem::Solver | |
| Solver (int s=0, bool iter_mode=false) | |
| Initialize a square Solver with size s. More... | |
| Solver (int h, int w, bool iter_mode=false) | |
| Initialize a Solver with height h and width w. More... | |
| Public Member Functions inherited from mfem::Operator | |
| void | InitTVectors (const Operator *Po, const Operator *Ri, const Operator *Pi, Vector &x, Vector &b, Vector &X, Vector &B) const |
| Initializes memory for true vectors of linear system. More... | |
| Operator (int s=0) | |
| Construct a square Operator with given size s (default 0). More... | |
| Operator (int h, int w) | |
| Construct an Operator with the given height (output size) and width (input size). More... | |
| int | Height () const |
| Get the height (size of output) of the Operator. Synonym with NumRows(). More... | |
| int | NumRows () const |
| Get the number of rows (size of output) of the Operator. Synonym with Height(). More... | |
| int | Width () const |
| Get the width (size of input) of the Operator. Synonym with NumCols(). More... | |
| int | NumCols () const |
| Get the number of columns (size of input) of the Operator. Synonym with Width(). More... | |
| virtual MemoryClass | GetMemoryClass () const |
| Return the MemoryClass preferred by the Operator. More... | |
| virtual void | MultTranspose (const Vector &x, Vector &y) const |
Action of the transpose operator: y=A^t(x). The default behavior in class Operator is to generate an error. More... | |
| virtual Operator & | GetGradient (const Vector &x) const |
| Evaluate the gradient operator at the point x. The default behavior in class Operator is to generate an error. More... | |
| virtual void | AssembleDiagonal (Vector &diag) const |
| Computes the diagonal entries into diag. Typically, this operation only makes sense for linear Operators. In some cases, only an approximation of the diagonal is computed. More... | |
| virtual const Operator * | GetProlongation () const |
Prolongation operator from linear algebra (linear system) vectors, to input vectors for the operator. NULL means identity. More... | |
| virtual const Operator * | GetRestriction () const |
Restriction operator from input vectors for the operator to linear algebra (linear system) vectors. NULL means identity. More... | |
| virtual const Operator * | GetOutputProlongation () const |
Prolongation operator from linear algebra (linear system) vectors, to output vectors for the operator. NULL means identity. More... | |
| virtual const Operator * | GetOutputRestrictionTranspose () const |
| Transpose of GetOutputRestriction, directly available in this form to facilitate matrix-free RAP-type operators. More... | |
| virtual const Operator * | GetOutputRestriction () const |
Restriction operator from output vectors for the operator to linear algebra (linear system) vectors. NULL means identity. More... | |
| void | FormLinearSystem (const Array< int > &ess_tdof_list, Vector &x, Vector &b, Operator *&A, Vector &X, Vector &B, int copy_interior=0) |
| Form a constrained linear system using a matrix-free approach. More... | |
| void | FormRectangularLinearSystem (const Array< int > &trial_tdof_list, const Array< int > &test_tdof_list, Vector &x, Vector &b, Operator *&A, Vector &X, Vector &B) |
| Form a column-constrained linear system using a matrix-free approach. More... | |
| virtual void | RecoverFEMSolution (const Vector &X, const Vector &b, Vector &x) |
| Reconstruct a solution vector x (e.g. a GridFunction) from the solution X of a constrained linear system obtained from Operator::FormLinearSystem() or Operator::FormRectangularLinearSystem(). More... | |
| void | FormSystemOperator (const Array< int > &ess_tdof_list, Operator *&A) |
| Return in A a parallel (on truedofs) version of this square operator. More... | |
| void | FormRectangularSystemOperator (const Array< int > &trial_tdof_list, const Array< int > &test_tdof_list, Operator *&A) |
| Return in A a parallel (on truedofs) version of this rectangular operator (including constraints). More... | |
| void | FormDiscreteOperator (Operator *&A) |
| Return in A a parallel (on truedofs) version of this rectangular operator. More... | |
| void | PrintMatlab (std::ostream &out, int n, int m=0) const |
| Prints operator with input size n and output size m in Matlab format. More... | |
| virtual void | PrintMatlab (std::ostream &out) const |
| Prints operator in Matlab format. More... | |
| virtual | ~Operator () |
| Virtual destructor. More... | |
| Type | GetType () const |
| Return the type ID of the Operator class. More... | |
Additional Inherited Members | |
| Public Types inherited from mfem::Operator | |
| enum | DiagonalPolicy { DIAG_ZERO, DIAG_ONE, DIAG_KEEP } |
| Defines operator diagonal policy upon elimination of rows and/or columns. More... | |
| enum | Type { ANY_TYPE, MFEM_SPARSEMAT, Hypre_ParCSR, PETSC_MATAIJ, PETSC_MATIS, PETSC_MATSHELL, PETSC_MATNEST, PETSC_MATHYPRE, PETSC_MATGENERIC, Complex_Operator, MFEM_ComplexSparseMat, Complex_Hypre_ParCSR, Complex_DenseMat, MFEM_Block_Matrix, MFEM_Block_Operator } |
| Enumeration defining IDs for some classes derived from Operator. More... | |
| Public Attributes inherited from mfem::Solver | |
| bool | iterative_mode |
| If true, use the second argument of Mult() as an initial guess. More... | |
| Protected Member Functions inherited from mfem::Operator | |
| void | FormConstrainedSystemOperator (const Array< int > &ess_tdof_list, ConstrainedOperator *&Aout) |
| see FormSystemOperator() More... | |
| void | FormRectangularConstrainedSystemOperator (const Array< int > &trial_tdof_list, const Array< int > &test_tdof_list, RectangularConstrainedOperator *&Aout) |
| see FormRectangularSystemOperator() More... | |
| Operator * | SetupRAP (const Operator *Pi, const Operator *Po) |
| Returns RAP Operator of this, using input/output Prolongation matrices Pi corresponds to "P", Po corresponds to "Rt". More... | |
| Protected Attributes inherited from mfem::Ginkgo::GinkgoPreconditioner | |
| std::shared_ptr < gko::LinOpFactory > | precond_gen |
| std::shared_ptr< gko::LinOp > | generated_precond |
| std::shared_ptr< gko::Executor > | executor |
| bool | has_generated_precond |
| Protected Attributes inherited from mfem::Operator | |
| int | height |
| Dimension of the output / number of rows in the matrix. More... | |
| int | width |
| Dimension of the input / number of columns in the matrix. More... | |
An implementation of the preconditioner interface using the Ginkgo Incomplete LU-Incomplete Sparse Approximate Inverse preconditioner. The Ilu-ISAI preconditioner differs from the Ilu preconditioner in that Incomplete Sparse Approximate Inverses (ISAIs) are formed to approximate solving the triangular systems defined by L and U. When the preconditioner is applied, these ISAI matrices are applied through matrix-vector multiplication.
Definition at line 1129 of file ginkgo.hpp.
| mfem::Ginkgo::IluIsaiPreconditioner::IluIsaiPreconditioner | ( | GinkgoExecutor & | exec, |
| const std::string & | factorization_type = "exact", |
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| const int | sweeps = 0, |
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| const int | sparsity_power = 1, |
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| const bool | skip_sort = false |
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| ) |
Constructor.
| [in] | exec | The execution paradigm for the preconditioner. |
| [in] | factorization_type | The factorization type: "exact" or "parilu". |
| [in] | sweeps | The number of sweeps to do in the ParIlu factorization algorithm. A value of 0 tells Ginkgo to use its internal default value. This parameter is ignored in the case of an exact factorization. |
| [in] | sparsity_power | Parameter determining the sparsity pattern of the ISAI approximations. |
| [in] | skip_sort | Only set this to true if the input matrix that will be used to generate this preconditioner is guaranteed to be sorted by column. See the Ginkgo documentation for more information on these parameters. |
Note: The use of this preconditioner will sort any input matrix given to it, potentially changing the order of the stored values.
Definition at line 984 of file ginkgo.cpp.
1.8.5
