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| TrilinosMonotonicityPreservingSolver () |
| Default constructor. More...
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| TrilinosMonotonicityPreservingSolver (typename BaseType::Pointer pLinearSolver) |
| Constructor without parameters. More...
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| TrilinosMonotonicityPreservingSolver (Parameters ThisParameters) |
| Constructor with parameters. More...
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| TrilinosMonotonicityPreservingSolver (const TrilinosMonotonicityPreservingSolver &Other) |
| Copy constructor. More...
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| ~TrilinosMonotonicityPreservingSolver () override |
| Destructor. More...
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TrilinosMonotonicityPreservingSolver & | operator= (const TrilinosMonotonicityPreservingSolver &Other) |
| Assignment operator. More...
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bool | AdditionalPhysicalDataIsNeeded () override |
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void | ProvideAdditionalData (SparseMatrixType &rA, VectorType &rX, VectorType &rB, typename ModelPart::DofsArrayType &rdof_set, ModelPart &r_model_part) override |
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void | InitializeSolutionStep (SparseMatrixType &rA, VectorType &rX, VectorType &rB) override |
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void | FinalizeSolutionStep (SparseMatrixType &rA, VectorType &rX, VectorType &rB) override |
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void | Clear () override |
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bool | Solve (SparseMatrixType &rA, VectorType &rX, VectorType &rB) override |
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std::string | Info () const override |
| Turn back information as a string. More...
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void | PrintInfo (std::ostream &rOStream) const override |
| Print information about this object. More...
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void | PrintData (std::ostream &rOStream) const override |
| Print object's data. 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 | PerformSolutionStep (SparseMatrixType &rA, VectorType &rX, VectorType &rB) |
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virtual bool | Solve (SparseMatrixType &rA, DenseMatrixType &rX, DenseMatrixType &rB) |
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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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| 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>>
This function is designed to be called every time the coefficients change in the system that is, normally at the beginning of each solve. For example if we are implementing a direct solver, this is the place to do the factorization so that then the backward substitution can be performed effectively more than once
- Parameters
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rA. | System matrix |
rX. | Solution vector. it's also the initial guess for iterative linear solvers. |
rB. | Right hand side vector. |
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 > >.