Public Member Functions | Protected Attributes | List of all members
oomph::Smoother Class Referenceabstract

//////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////// More...

#include <iterative_linear_solver.h>

+ Inheritance diagram for oomph::Smoother:

Public Member Functions

 Smoother ()
 Empty constructor. More...
 
virtual ~Smoother ()
 Virtual empty destructor. More...
 
virtual void smoother_solve (const DoubleVector &rhs, DoubleVector &result)=0
 The smoother_solve function performs fixed number of iterations on the system A*result=rhs. The number of (smoothing) iterations is the same as the max. number of iterations in the underlying IterativeLinearSolver class. Note that the result vector MUST NOT re-initialised to zero (as it would typically be when the Smoother is called as a iterative linear solver). More...
 
virtual void smoother_setup (DoubleMatrixBase *matrix_pt)=0
 Set up the smoother for the matrix specified by the pointer. More...
 
template<typename MATRIX >
void check_validity_of_solve_helper_inputs (MATRIX *const &matrix_pt, const DoubleVector &rhs, DoubleVector &solution, const double &n_dof)
 Self-test to check that all the dimensions of the inputs to solve helper are consistent and everything that needs to be built, is. More...
 
- Public Member Functions inherited from oomph::IterativeLinearSolver
 IterativeLinearSolver ()
 Constructor: Set (default) trivial preconditioner and set defaults for tolerance and max. number of iterations. More...
 
 IterativeLinearSolver (const IterativeLinearSolver &)=delete
 Broken copy constructor. More...
 
void operator= (const IterativeLinearSolver &)=delete
 Broken assignment operator. More...
 
virtual ~IterativeLinearSolver ()
 Destructor (empty) More...
 
Preconditioner *& preconditioner_pt ()
 Access function to preconditioner. More...
 
Preconditioner *const & preconditioner_pt () const
 Access function to preconditioner (const version) More...
 
double & tolerance ()
 Access to convergence tolerance. More...
 
unsigned & max_iter ()
 Access to max. number of iterations. More...
 
virtual unsigned iterations () const =0
 Number of iterations taken. More...
 
void enable_doc_convergence_history ()
 Enable documentation of the convergence history. More...
 
void disable_doc_convergence_history ()
 Disable documentation of the convergence history. More...
 
void open_convergence_history_file_stream (const std::string &file_name, const std::string &zone_title="")
 Write convergence history into file with specified filename (automatically switches on doc). Optional second argument is a string that can be used (as a zone title) to identify what case we're running (e.g. what combination of linear solver and preconditioner or parameter values are used). More...
 
void close_convergence_history_file_stream ()
 Close convergence history output stream. More...
 
double jacobian_setup_time () const
 returns the time taken to assemble the jacobian matrix and residual vector More...
 
double linear_solver_solution_time () const
 return the time taken to solve the linear system More...
 
virtual double preconditioner_setup_time () const
 returns the the time taken to setup the preconditioner More...
 
void enable_setup_preconditioner_before_solve ()
 Setup the preconditioner before the solve. More...
 
void disable_setup_preconditioner_before_solve ()
 Don't set up the preconditioner before the solve. More...
 
void enable_error_after_max_iter ()
 Throw an error if we don't converge within max_iter. More...
 
void disable_error_after_max_iter ()
 Don't throw an error if we don't converge within max_iter (default). More...
 
void enable_iterative_solver_as_preconditioner ()
 Enables the iterative solver be used as preconditioner (when calling the solve method it bypass the setup solver method – currently only used by Trilinos solver —) More...
 
void disable_iterative_solver_as_preconditioner ()
 Disables the iterative solver be used as preconditioner (when calling the solve method it bypass the setup solver method – currently only used by Trilinos solver —) More...
 
- Public Member Functions inherited from oomph::LinearSolver
 LinearSolver ()
 Empty constructor, initialise the member data. More...
 
 LinearSolver (const LinearSolver &dummy)=delete
 Broken copy constructor. More...
 
void operator= (const LinearSolver &)=delete
 Broken assignment operator. More...
 
virtual ~LinearSolver ()
 Empty virtual destructor. More...
 
void enable_doc_time ()
 Enable documentation of solve times. More...
 
void disable_doc_time ()
 Disable documentation of solve times. More...
 
bool is_doc_time_enabled () const
 Is documentation of solve times enabled? More...
 
bool is_resolve_enabled () const
 Boolean flag indicating if resolves are enabled. More...
 
virtual void enable_resolve ()
 Enable resolve (i.e. store matrix and/or LU decomposition, say) Virtual so it can be overloaded to perform additional tasks. More...
 
virtual void disable_resolve ()
 Disable resolve (i.e. store matrix and/or LU decomposition, say) This function simply resets an internal flag. It's virtual so it can be overloaded to perform additional tasks such as cleaning up memory that is only required for the resolve. More...
 
virtual void solve (Problem *const &problem_pt, DoubleVector &result)=0
 Solver: Takes pointer to problem and returns the results vector which contains the solution of the linear system defined by the problem's fully assembled Jacobian and residual vector. More...
 
virtual void solve (DoubleMatrixBase *const &matrix_pt, const DoubleVector &rhs, DoubleVector &result)
 Linear-algebra-type solver: Takes pointer to a matrix and rhs vector and returns the solution of the linear system. More...
 
virtual void solve (DoubleMatrixBase *const &matrix_pt, const Vector< double > &rhs, Vector< double > &result)
 Linear-algebra-type solver: Takes pointer to a matrix and rhs vector and returns the solution of the linear system. More...
 
virtual void solve_transpose (Problem *const &problem_pt, DoubleVector &result)
 Solver: Takes pointer to problem and returns the results vector which contains the solution of the linear system defined by the problem's fully assembled Jacobian and residual vector (broken virtual). More...
 
virtual void solve_transpose (DoubleMatrixBase *const &matrix_pt, const DoubleVector &rhs, DoubleVector &result)
 Linear-algebra-type solver: Takes pointer to a matrix and rhs vector and returns the solution of the linear system. More...
 
virtual void solve_transpose (DoubleMatrixBase *const &matrix_pt, const Vector< double > &rhs, Vector< double > &result)
 Linear-algebra-type solver: Takes pointer to a matrix and rhs vector and returns the solution of the linear system. More...
 
virtual void resolve (const DoubleVector &rhs, DoubleVector &result)
 Resolve the system defined by the last assembled jacobian and the rhs vector. Solution is returned in the vector result. (broken virtual) More...
 
virtual void resolve_transpose (const DoubleVector &rhs, DoubleVector &result)
 Solver: Resolve the system defined by the last assembled jacobian and the rhs vector. Solution is returned in the vector result. (broken virtual) More...
 
virtual void clean_up_memory ()
 Empty virtual function that can be overloaded in specific linear solvers to clean up any memory that may have been allocated (e.g. when preparing for a re-solve). More...
 
virtual void enable_computation_of_gradient ()
 function to enable the computation of the gradient required for the globally convergent Newton method More...
 
void disable_computation_of_gradient ()
 function to disable the computation of the gradient required for the globally convergent Newton method More...
 
void reset_gradient ()
 function to reset the size of the gradient before each Newton solve More...
 
void get_gradient (DoubleVector &gradient)
 function to access the gradient, provided it has been computed More...
 
- Public Member Functions inherited from oomph::DistributableLinearAlgebraObject
 DistributableLinearAlgebraObject ()
 Default constructor - create a distribution. More...
 
 DistributableLinearAlgebraObject (const DistributableLinearAlgebraObject &matrix)=delete
 Broken copy constructor. More...
 
void operator= (const DistributableLinearAlgebraObject &)=delete
 Broken assignment operator. More...
 
virtual ~DistributableLinearAlgebraObject ()
 Destructor. More...
 
LinearAlgebraDistributiondistribution_pt () const
 access to the LinearAlgebraDistribution More...
 
unsigned nrow () const
 access function to the number of global rows. More...
 
unsigned nrow_local () const
 access function for the num of local rows on this processor. More...
 
unsigned nrow_local (const unsigned &p) const
 access function for the num of local rows on this processor. More...
 
unsigned first_row () const
 access function for the first row on this processor More...
 
unsigned first_row (const unsigned &p) const
 access function for the first row on this processor More...
 
bool distributed () const
 distribution is serial or distributed More...
 
bool distribution_built () const
 if the communicator_pt is null then the distribution is not setup then false is returned, otherwise return true More...
 
void build_distribution (const LinearAlgebraDistribution *const dist_pt)
 setup the distribution of this distributable linear algebra object More...
 
void build_distribution (const LinearAlgebraDistribution &dist)
 setup the distribution of this distributable linear algebra object More...
 

Protected Attributes

bool Use_as_smoother
 When a derived class object is being used as a smoother in the MG solver (or elsewhere) the residual norm does not need to be calculated because we're simply performing a fixed number of (smoothing) iterations. This boolean is used as a flag to indicate that the IterativeLinearSolver (which this class is by inheritance) is supposed to act in this way. More...
 
- Protected Attributes inherited from oomph::IterativeLinearSolver
bool Doc_convergence_history
 Flag indicating if the convergence history is to be documented. More...
 
std::ofstream Output_file_stream
 Output file stream for convergence history. More...
 
double Tolerance
 Convergence tolerance. More...
 
unsigned Max_iter
 Maximum number of iterations. More...
 
PreconditionerPreconditioner_pt
 Pointer to the preconditioner. More...
 
double Jacobian_setup_time
 Jacobian setup time. More...
 
double Solution_time
 linear solver solution time More...
 
double Preconditioner_setup_time
 Preconditioner setup time. More...
 
bool Setup_preconditioner_before_solve
 indicates whether the preconditioner should be setup before solve. Default = true; More...
 
bool Throw_error_after_max_iter
 Should we throw an error instead of just returning when we hit the max iterations? More...
 
bool Use_iterative_solver_as_preconditioner
 Use the iterative solver as preconditioner. More...
 
bool First_time_solve_when_used_as_preconditioner
 When the iterative solver is used a preconditioner then we call the setup of solver method only once (the first time the solve method is called) More...
 
- Protected Attributes inherited from oomph::LinearSolver
bool Enable_resolve
 Boolean that indicates whether the matrix (or its factors, in the case of direct solver) should be stored so that the resolve function can be used. More...
 
bool Doc_time
 Boolean flag that indicates whether the time taken. More...
 
bool Compute_gradient
 flag that indicates whether the gradient required for the globally convergent Newton method should be computed or not More...
 
bool Gradient_has_been_computed
 flag that indicates whether the gradient was computed or not More...
 
DoubleVector Gradient_for_glob_conv_newton_solve
 DoubleVector storing the gradient for the globally convergent Newton method. More...
 

Additional Inherited Members

- Protected Member Functions inherited from oomph::DistributableLinearAlgebraObject
void clear_distribution ()
 clear the distribution of this distributable linear algebra object More...
 
- Static Protected Attributes inherited from oomph::IterativeLinearSolver
static IdentityPreconditioner Default_preconditioner
 Default preconditioner: The base class for preconditioners is a fully functional (if trivial!) preconditioner. More...
 

Detailed Description

//////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////

Smoother class: The smoother class is designed for to be used in conjunction with multigrid. The action of the smoother should reduce the high frequency errors. These methods are inefficient as stand-alone solvers.

Definition at line 549 of file iterative_linear_solver.h.

Constructor & Destructor Documentation

◆ Smoother()

oomph::Smoother::Smoother ( )
inline

Empty constructor.

Definition at line 553 of file iterative_linear_solver.h.

◆ ~Smoother()

virtual oomph::Smoother::~Smoother ( )
inlinevirtual

Virtual empty destructor.

Definition at line 556 of file iterative_linear_solver.h.

Member Function Documentation

◆ check_validity_of_solve_helper_inputs()

template<typename MATRIX >
void oomph::Smoother::check_validity_of_solve_helper_inputs ( MATRIX *const &  matrix_pt,
const DoubleVector rhs,
DoubleVector solution,
const double &  n_dof 
)

Self-test to check that all the dimensions of the inputs to solve helper are consistent and everything that needs to be built, is.

/////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////

Self-test to be called inside solve_helper to ensure that all inputs are consistent and everything that needs to be built, is.

Definition at line 1029 of file iterative_linear_solver.cc.

References oomph::DoubleVector::built(), oomph::LinearAlgebraDistribution::distributed(), oomph::DistributableLinearAlgebraObject::distributed(), oomph::DistributableLinearAlgebraObject::distribution_pt(), and oomph::DistributableLinearAlgebraObject::nrow().

◆ smoother_setup()

virtual void oomph::Smoother::smoother_setup ( DoubleMatrixBase matrix_pt)
pure virtual

Set up the smoother for the matrix specified by the pointer.

Implemented in oomph::DampedJacobi< MATRIX >, oomph::GS< CRDoubleMatrix >, and oomph::GS< MATRIX >.

◆ smoother_solve()

virtual void oomph::Smoother::smoother_solve ( const DoubleVector rhs,
DoubleVector result 
)
pure virtual

The smoother_solve function performs fixed number of iterations on the system A*result=rhs. The number of (smoothing) iterations is the same as the max. number of iterations in the underlying IterativeLinearSolver class. Note that the result vector MUST NOT re-initialised to zero (as it would typically be when the Smoother is called as a iterative linear solver).

Implemented in oomph::DampedJacobi< MATRIX >, oomph::GS< CRDoubleMatrix >, and oomph::GS< MATRIX >.

Member Data Documentation

◆ Use_as_smoother

bool oomph::Smoother::Use_as_smoother
protected

When a derived class object is being used as a smoother in the MG solver (or elsewhere) the residual norm does not need to be calculated because we're simply performing a fixed number of (smoothing) iterations. This boolean is used as a flag to indicate that the IterativeLinearSolver (which this class is by inheritance) is supposed to act in this way.

Definition at line 585 of file iterative_linear_solver.h.

Referenced by oomph::GS< MATRIX >::smoother_solve(), oomph::GS< CRDoubleMatrix >::smoother_solve(), oomph::DampedJacobi< MATRIX >::smoother_solve(), oomph::GS< MATRIX >::solve(), oomph::DampedJacobi< MATRIX >::solve(), oomph::GS< CRDoubleMatrix >::solve(), and oomph::GS< CRDoubleMatrix >::solve_helper().


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