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| | KRATOS_CLASS_POINTER_DEFINITION (AmgclMPISchurComplementSolver) |
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| | AmgclMPISchurComplementSolver (Parameters rParameters) |
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| virtual | ~AmgclMPISchurComplementSolver () |
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| bool | Solve (SparseMatrixType &rA, VectorType &rX, VectorType &rB) override |
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| AmgclMPISchurComplementSolver & | operator= (const AmgclMPISchurComplementSolver &Other)=delete |
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| | AmgclMPISchurComplementSolver (const AmgclMPISchurComplementSolver &Other)=delete |
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| bool | Solve (SparseMatrixType &rA, DenseMatrixType &rX, DenseMatrixType &rB) override |
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| bool | AdditionalPhysicalDataIsNeeded () override |
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| void | ProvideAdditionalData (SparseMatrixType &rA, VectorType &rX, VectorType &rB, typename ModelPart::DofsArrayType &rDofSet, ModelPart &rModelPart) override |
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| void | PrintInfo (std::ostream &rOStream) const override |
| | Print information about this object. More...
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| | LinearSolver () |
| | Default constructor. More...
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| | LinearSolver (Reorderer< TSparseSpaceType, TDenseSpaceType > NewReorderer) |
| | Constructor with specific reorderer. More...
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| | LinearSolver (const LinearSolver &Other) |
| | Copy constructor. More...
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| virtual | ~LinearSolver () |
| | Destructor. More...
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| LinearSolver & | operator= (const LinearSolver &Other) |
| | Assignment operator. More...
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| virtual void | Initialize (SparseMatrixType &rA, VectorType &rX, VectorType &rB) |
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| virtual void | InitializeSolutionStep (SparseMatrixType &rA, VectorType &rX, VectorType &rB) |
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| virtual void | PerformSolutionStep (SparseMatrixType &rA, VectorType &rX, VectorType &rB) |
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| virtual void | FinalizeSolutionStep (SparseMatrixType &rA, VectorType &rX, VectorType &rB) |
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| virtual void | Clear () |
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| virtual void | Solve (SparseMatrixType &K, SparseMatrixType &M, DenseVectorType &Eigenvalues, DenseMatrixType &Eigenvectors) |
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| virtual TReordererType::Pointer | GetReorderer () |
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| virtual void | SetReorderer (typename TReordererType::Pointer pNewReorderer) |
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| virtual void | SetTolerance (double NewTolerance) |
| | This method allows to set the tolerance in the linear solver. More...
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| virtual double | GetTolerance () |
| | This method allows to get the tolerance in the linear solver. More...
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| virtual IndexType | GetIterationsNumber () |
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| virtual bool | IsConsistent (SparseMatrixType &rA, VectorType &rX, VectorType &rB) |
| | This method checks if the dimensions of the system of equations are consistent. More...
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| virtual bool | IsConsistent (SparseMatrixType &rA, DenseMatrixType &rX, DenseMatrixType &rB) |
| | This method checks if the dimensions of the system of equations are consistent (dense matrix for RHS and unknowns version) More...
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| virtual bool | IsNotConsistent (SparseMatrixType &rA, VectorType &rX, VectorType &rB) |
| | This method checks if the dimensions of the system of equations are not consistent. More...
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| virtual bool | IsNotConsistent (SparseMatrixType &rA, DenseMatrixType &rX, DenseMatrixType &rB) |
| | This method checks if the dimensions of the system of equations are not consistent. More...
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| virtual std::string | Info () const |
| | Turn back information as a string. More...
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| virtual void | PrintData (std::ostream &rOStream) const |
| | Print object's data. More...
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| | KRATOS_CLASS_POINTER_DEFINITION (LinearSolver) |
| | Pointer definition of LinearSolver. More...
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template<class TSparseSpaceType , class TDenseSpaceType , class TReordererType = Reorderer<TSparseSpaceType, TDenseSpaceType>>
Some solvers may require a minimum degree of knowledge of the structure of the matrix. To make an example when solving a mixed u-p problem, it is important to identify the row associated to v and p. another example is the automatic prescription of rotation null-space for smoothed-aggregation solvers which require knowledge on the spatial position of the nodes associated to a given dof. This function tells if the solver requires such data
Reimplemented from Kratos::LinearSolver< TSparseSpaceType, TDenseSpaceType, Reorderer< TSparseSpaceType, TDenseSpaceType > >.
template<class TSparseSpaceType , class TDenseSpaceType , class TReordererType = Reorderer<TSparseSpaceType, TDenseSpaceType>>
Some solvers may require a minimum degree of knowledge of the structure of the matrix. To make an example when solving a mixed u-p problem, it is important to identify the row associated to v and p. another example is the automatic prescription of rotation null-space for smoothed-aggregation solvers which require knowledge on the spatial position of the nodes associated to a given dof. This function is the place to eventually provide such data
Reimplemented from Kratos::LinearSolver< TSparseSpaceType, TDenseSpaceType, Reorderer< TSparseSpaceType, TDenseSpaceType > >.