KratosMultiphysics
KRATOS Multiphysics (Kratos) is a framework for building parallel, multi-disciplinary simulation software, aiming at modularity, extensibility, and high performance. Kratos is written in C++, and counts with an extensive Python interface.
Public Types | Public Member Functions | List of all members
Kratos::AMGCL_NS_Solver< TSparseSpaceType, TDenseSpaceType, TReordererType > Class Template Reference

#include <amgcl_ns_solver.h>

Inheritance diagram for Kratos::AMGCL_NS_Solver< TSparseSpaceType, TDenseSpaceType, TReordererType >:
Collaboration diagram for Kratos::AMGCL_NS_Solver< TSparseSpaceType, TDenseSpaceType, TReordererType >:

Public Types

typedef LinearSolver< TSparseSpaceType, TDenseSpaceType, TReordererType > BaseType
 
typedef TSparseSpaceType::MatrixType SparseMatrixType
 
typedef TSparseSpaceType::VectorType VectorType
 
typedef TDenseSpaceType::MatrixType DenseMatrixType
 
- Public Types inherited from Kratos::LinearSolver< TSparseSpaceType, TDenseSpaceType, Reorderer< TSparseSpaceType, TDenseSpaceType > >
typedef TSparseSpaceType::MatrixType SparseMatrixType
 
typedef TSparseSpaceType::MatrixPointerType SparseMatrixPointerType
 
typedef TSparseSpaceType::VectorType VectorType
 
typedef TSparseSpaceType::VectorPointerType VectorPointerType
 
typedef TDenseSpaceType::MatrixType DenseMatrixType
 
typedef TDenseSpaceType::VectorType DenseVectorType
 
typedef std::size_t SizeType
 
typedef TSparseSpaceType::IndexType IndexType
 The index type definition to be consistent. More...
 

Public Member Functions

 KRATOS_CLASS_POINTER_DEFINITION (AMGCL_NS_Solver)
 
 AMGCL_NS_Solver (Parameters rParameters)
 
 ~AMGCL_NS_Solver () override
 
bool Solve (SparseMatrixType &rA, VectorType &rX, VectorType &rB) override
 
std::tuple< size_t, doublescalar_solve (SparseMatrixType &rA, VectorType &rX, VectorType &rB) const
 
template<int UBlockSize>
std::tuple< size_t, doubleblock_solve (SparseMatrixType &rA, VectorType &rX, VectorType &rB) const
 
bool Solve (SparseMatrixType &rA, DenseMatrixType &rX, DenseMatrixType &rB) override
 
void PrintInfo (std::ostream &rOStream) const override
 
void PrintData (std::ostream &rOStream) const override
 
bool AdditionalPhysicalDataIsNeeded () override
 
void ProvideAdditionalData (SparseMatrixType &rA, VectorType &rX, VectorType &rB, typename ModelPart::DofsArrayType &rDofSet, ModelPart &rModelPart) override
 
- Public Member Functions inherited from Kratos::LinearSolver< TSparseSpaceType, TDenseSpaceType, Reorderer< TSparseSpaceType, TDenseSpaceType > >
 LinearSolver ()
 Default constructor. More...
 
 LinearSolver (Reorderer< TSparseSpaceType, TDenseSpaceType > NewReorderer)
 Constructor with specific reorderer. More...
 
 LinearSolver (const LinearSolver &Other)
 Copy constructor. More...
 
virtual ~LinearSolver ()
 Destructor. More...
 
LinearSolveroperator= (const LinearSolver &Other)
 Assignment operator. More...
 
virtual void Initialize (SparseMatrixType &rA, VectorType &rX, VectorType &rB)
 
virtual void InitializeSolutionStep (SparseMatrixType &rA, VectorType &rX, VectorType &rB)
 
virtual void PerformSolutionStep (SparseMatrixType &rA, VectorType &rX, VectorType &rB)
 
virtual void FinalizeSolutionStep (SparseMatrixType &rA, VectorType &rX, VectorType &rB)
 
virtual void Clear ()
 
virtual void Solve (SparseMatrixType &K, SparseMatrixType &M, DenseVectorType &Eigenvalues, DenseMatrixType &Eigenvectors)
 
virtual TReordererType::Pointer GetReorderer ()
 
virtual void SetReorderer (typename TReordererType::Pointer pNewReorderer)
 
virtual void SetTolerance (double NewTolerance)
 This method allows to set the tolerance in the linear solver. More...
 
virtual double GetTolerance ()
 This method allows to get the tolerance in the linear solver. More...
 
virtual IndexType GetIterationsNumber ()
 
virtual bool IsConsistent (SparseMatrixType &rA, VectorType &rX, VectorType &rB)
 This method checks if the dimensions of the system of equations are consistent. More...
 
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...
 
virtual bool IsNotConsistent (SparseMatrixType &rA, VectorType &rX, VectorType &rB)
 This method checks if the dimensions of the system of equations are not consistent. More...
 
virtual bool IsNotConsistent (SparseMatrixType &rA, DenseMatrixType &rX, DenseMatrixType &rB)
 This method checks if the dimensions of the system of equations are not consistent. More...
 
virtual std::string Info () const
 Turn back information as a string. More...
 
 KRATOS_CLASS_POINTER_DEFINITION (LinearSolver)
 Pointer definition of LinearSolver. More...
 

Member Typedef Documentation

◆ BaseType

template<class TSparseSpaceType , class TDenseSpaceType , class TReordererType = Reorderer<TSparseSpaceType, TDenseSpaceType>>
typedef LinearSolver<TSparseSpaceType, TDenseSpaceType, TReordererType> Kratos::AMGCL_NS_Solver< TSparseSpaceType, TDenseSpaceType, TReordererType >::BaseType

◆ DenseMatrixType

template<class TSparseSpaceType , class TDenseSpaceType , class TReordererType = Reorderer<TSparseSpaceType, TDenseSpaceType>>
typedef TDenseSpaceType::MatrixType Kratos::AMGCL_NS_Solver< TSparseSpaceType, TDenseSpaceType, TReordererType >::DenseMatrixType

◆ SparseMatrixType

template<class TSparseSpaceType , class TDenseSpaceType , class TReordererType = Reorderer<TSparseSpaceType, TDenseSpaceType>>
typedef TSparseSpaceType::MatrixType Kratos::AMGCL_NS_Solver< TSparseSpaceType, TDenseSpaceType, TReordererType >::SparseMatrixType

◆ VectorType

template<class TSparseSpaceType , class TDenseSpaceType , class TReordererType = Reorderer<TSparseSpaceType, TDenseSpaceType>>
typedef TSparseSpaceType::VectorType Kratos::AMGCL_NS_Solver< TSparseSpaceType, TDenseSpaceType, TReordererType >::VectorType

Constructor & Destructor Documentation

◆ AMGCL_NS_Solver()

template<class TSparseSpaceType , class TDenseSpaceType , class TReordererType = Reorderer<TSparseSpaceType, TDenseSpaceType>>
Kratos::AMGCL_NS_Solver< TSparseSpaceType, TDenseSpaceType, TReordererType >::AMGCL_NS_Solver ( Parameters  rParameters)
inline

◆ ~AMGCL_NS_Solver()

template<class TSparseSpaceType , class TDenseSpaceType , class TReordererType = Reorderer<TSparseSpaceType, TDenseSpaceType>>
Kratos::AMGCL_NS_Solver< TSparseSpaceType, TDenseSpaceType, TReordererType >::~AMGCL_NS_Solver ( )
inlineoverride

Destructor

Member Function Documentation

◆ AdditionalPhysicalDataIsNeeded()

template<class TSparseSpaceType , class TDenseSpaceType , class TReordererType = Reorderer<TSparseSpaceType, TDenseSpaceType>>
bool Kratos::AMGCL_NS_Solver< TSparseSpaceType, TDenseSpaceType, TReordererType >::AdditionalPhysicalDataIsNeeded ( )
inlineoverridevirtual

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 > >.

◆ block_solve()

template<class TSparseSpaceType , class TDenseSpaceType , class TReordererType = Reorderer<TSparseSpaceType, TDenseSpaceType>>
template<int UBlockSize>
std::tuple<size_t, double> Kratos::AMGCL_NS_Solver< TSparseSpaceType, TDenseSpaceType, TReordererType >::block_solve ( SparseMatrixType rA,
VectorType rX,
VectorType rB 
) const
inline

◆ KRATOS_CLASS_POINTER_DEFINITION()

template<class TSparseSpaceType , class TDenseSpaceType , class TReordererType = Reorderer<TSparseSpaceType, TDenseSpaceType>>
Kratos::AMGCL_NS_Solver< TSparseSpaceType, TDenseSpaceType, TReordererType >::KRATOS_CLASS_POINTER_DEFINITION ( AMGCL_NS_Solver< TSparseSpaceType, TDenseSpaceType, TReordererType >  )

Counted pointer of AMGCL_NS_Solver

◆ PrintData()

template<class TSparseSpaceType , class TDenseSpaceType , class TReordererType = Reorderer<TSparseSpaceType, TDenseSpaceType>>
void Kratos::AMGCL_NS_Solver< TSparseSpaceType, TDenseSpaceType, TReordererType >::PrintData ( std::ostream &  rOStream) const
inlineoverridevirtual

◆ PrintInfo()

template<class TSparseSpaceType , class TDenseSpaceType , class TReordererType = Reorderer<TSparseSpaceType, TDenseSpaceType>>
void Kratos::AMGCL_NS_Solver< TSparseSpaceType, TDenseSpaceType, TReordererType >::PrintInfo ( std::ostream &  rOStream) const
inlineoverridevirtual

◆ ProvideAdditionalData()

template<class TSparseSpaceType , class TDenseSpaceType , class TReordererType = Reorderer<TSparseSpaceType, TDenseSpaceType>>
void Kratos::AMGCL_NS_Solver< TSparseSpaceType, TDenseSpaceType, TReordererType >::ProvideAdditionalData ( SparseMatrixType rA,
VectorType rX,
VectorType rB,
typename ModelPart::DofsArrayType rDofSet,
ModelPart rModelPart 
)
inlineoverridevirtual

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 > >.

◆ scalar_solve()

template<class TSparseSpaceType , class TDenseSpaceType , class TReordererType = Reorderer<TSparseSpaceType, TDenseSpaceType>>
std::tuple<size_t, double> Kratos::AMGCL_NS_Solver< TSparseSpaceType, TDenseSpaceType, TReordererType >::scalar_solve ( SparseMatrixType rA,
VectorType rX,
VectorType rB 
) const
inline

◆ Solve() [1/2]

template<class TSparseSpaceType , class TDenseSpaceType , class TReordererType = Reorderer<TSparseSpaceType, TDenseSpaceType>>
bool Kratos::AMGCL_NS_Solver< TSparseSpaceType, TDenseSpaceType, TReordererType >::Solve ( SparseMatrixType rA,
DenseMatrixType rX,
DenseMatrixType rB 
)
inlineoverridevirtual

Multi solve method for solving a set of linear systems with same coefficient matrix. Solves the linear system Ax=b and puts the result on SystemVector& rX. rX is also th initial guess for iterative methods.

Parameters
rA.System matrix
rX.Solution vector.
rB.Right hand side vector.

Reimplemented from Kratos::LinearSolver< TSparseSpaceType, TDenseSpaceType, Reorderer< TSparseSpaceType, TDenseSpaceType > >.

◆ Solve() [2/2]

template<class TSparseSpaceType , class TDenseSpaceType , class TReordererType = Reorderer<TSparseSpaceType, TDenseSpaceType>>
bool Kratos::AMGCL_NS_Solver< TSparseSpaceType, TDenseSpaceType, TReordererType >::Solve ( SparseMatrixType rA,
VectorType rX,
VectorType rB 
)
inlineoverridevirtual

Normal solve method. Solves the linear system Ax=b and puts the result on SystemVector& rX. rX is also th initial guess for iterative methods.

Parameters
rA.System matrix
rX.Solution vector.
rB.Right hand side vector.

Reimplemented from Kratos::LinearSolver< TSparseSpaceType, TDenseSpaceType, Reorderer< TSparseSpaceType, TDenseSpaceType > >.


The documentation for this class was generated from the following file: