The conjugate gradient method. More...
#include <iterative_linear_solver.h>
Public Member Functions | |
CG () | |
Constructor. | |
virtual | ~CG () |
Destructor (cleanup storage) | |
CG (const CG &)=delete | |
Broken copy constructor. | |
void | operator= (const CG &)=delete |
Broken assignment operator. | |
void | disable_resolve () |
Overload disable resolve so that it cleans up memory too. | |
void | solve (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. | |
void | solve (DoubleMatrixBase *const &matrix_pt, const DoubleVector &rhs, DoubleVector &solution) |
Linear-algebra-type solver: Takes pointer to a matrix and rhs vector and returns the solution of the linear system. | |
void | resolve (const DoubleVector &rhs, DoubleVector &result) |
Re-solve the system defined by the last assembled Jacobian and the rhs vector specified here. Solution is returned in the vector result. | |
unsigned | iterations () const |
Number of iterations taken. | |
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IterativeLinearSolver () | |
Constructor: Set (default) trivial preconditioner and set defaults for tolerance and max. number of iterations. | |
IterativeLinearSolver (const IterativeLinearSolver &)=delete | |
Broken copy constructor. | |
void | operator= (const IterativeLinearSolver &)=delete |
Broken assignment operator. | |
virtual | ~IterativeLinearSolver () |
Destructor (empty) | |
Preconditioner *& | preconditioner_pt () |
Access function to preconditioner. | |
Preconditioner *const & | preconditioner_pt () const |
Access function to preconditioner (const version) | |
double & | tolerance () |
Access to convergence tolerance. | |
unsigned & | max_iter () |
Access to max. number of iterations. | |
void | enable_doc_convergence_history () |
Enable documentation of the convergence history. | |
void | disable_doc_convergence_history () |
Disable documentation of the convergence history. | |
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). | |
void | close_convergence_history_file_stream () |
Close convergence history output stream. | |
double | jacobian_setup_time () const |
returns the time taken to assemble the jacobian matrix and residual vector | |
double | linear_solver_solution_time () const |
return the time taken to solve the linear system | |
virtual double | preconditioner_setup_time () const |
returns the the time taken to setup the preconditioner | |
void | enable_setup_preconditioner_before_solve () |
Setup the preconditioner before the solve. | |
void | disable_setup_preconditioner_before_solve () |
Don't set up the preconditioner before the solve. | |
void | enable_error_after_max_iter () |
Throw an error if we don't converge within max_iter. | |
void | disable_error_after_max_iter () |
Don't throw an error if we don't converge within max_iter (default). | |
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 —) | |
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 —) | |
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LinearSolver () | |
Empty constructor, initialise the member data. | |
LinearSolver (const LinearSolver &dummy)=delete | |
Broken copy constructor. | |
void | operator= (const LinearSolver &)=delete |
Broken assignment operator. | |
virtual | ~LinearSolver () |
Empty virtual destructor. | |
void | enable_doc_time () |
Enable documentation of solve times. | |
void | disable_doc_time () |
Disable documentation of solve times. | |
bool | is_doc_time_enabled () const |
Is documentation of solve times enabled? | |
bool | is_resolve_enabled () const |
Boolean flag indicating if resolves are enabled. | |
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. | |
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. | |
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). | |
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. | |
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. | |
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) | |
virtual void | enable_computation_of_gradient () |
function to enable the computation of the gradient required for the globally convergent Newton method | |
void | disable_computation_of_gradient () |
function to disable the computation of the gradient required for the globally convergent Newton method | |
void | reset_gradient () |
function to reset the size of the gradient before each Newton solve | |
void | get_gradient (DoubleVector &gradient) |
function to access the gradient, provided it has been computed | |
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DistributableLinearAlgebraObject () | |
Default constructor - create a distribution. | |
DistributableLinearAlgebraObject (const DistributableLinearAlgebraObject &matrix)=delete | |
Broken copy constructor. | |
void | operator= (const DistributableLinearAlgebraObject &)=delete |
Broken assignment operator. | |
virtual | ~DistributableLinearAlgebraObject () |
Destructor. | |
LinearAlgebraDistribution * | distribution_pt () const |
access to the LinearAlgebraDistribution | |
unsigned | nrow () const |
access function to the number of global rows. | |
unsigned | nrow_local () const |
access function for the num of local rows on this processor. | |
unsigned | nrow_local (const unsigned &p) const |
access function for the num of local rows on this processor. | |
unsigned | first_row () const |
access function for the first row on this processor | |
unsigned | first_row (const unsigned &p) const |
access function for the first row on this processor | |
bool | distributed () const |
distribution is serial or distributed | |
bool | distribution_built () const |
if the communicator_pt is null then the distribution is not setup then false is returned, otherwise return true | |
void | build_distribution (const LinearAlgebraDistribution *const dist_pt) |
setup the distribution of this distributable linear algebra object | |
void | build_distribution (const LinearAlgebraDistribution &dist) |
setup the distribution of this distributable linear algebra object | |
Private Member Functions | |
void | solve_helper (DoubleMatrixBase *const &matrix_pt, const DoubleVector &rhs, DoubleVector &solution) |
General interface to solve function. | |
void | clean_up_memory () |
Cleanup data that's stored for resolve (if any has been stored) | |
Private Attributes | |
unsigned | Iterations |
Number of iterations taken. | |
MATRIX * | Matrix_pt |
Pointer to matrix. | |
bool | Resolving |
Boolean flag to indicate if the solve is done in re-solve mode, bypassing setup of matrix and preconditioner. | |
bool | Matrix_can_be_deleted |
Boolean flag to indicate if the matrix pointed to be Matrix_pt can be deleted. | |
Additional Inherited Members | |
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void | clear_distribution () |
clear the distribution of this distributable linear algebra object | |
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bool | Doc_convergence_history |
Flag indicating if the convergence history is to be documented. | |
std::ofstream | Output_file_stream |
Output file stream for convergence history. | |
double | Tolerance |
Convergence tolerance. | |
unsigned | Max_iter |
Maximum number of iterations. | |
Preconditioner * | Preconditioner_pt |
Pointer to the preconditioner. | |
double | Jacobian_setup_time |
Jacobian setup time. | |
double | Solution_time |
linear solver solution time | |
double | Preconditioner_setup_time |
Preconditioner setup time. | |
bool | Setup_preconditioner_before_solve |
indicates whether the preconditioner should be setup before solve. Default = true; | |
bool | Throw_error_after_max_iter |
Should we throw an error instead of just returning when we hit the max iterations? | |
bool | Use_iterative_solver_as_preconditioner |
Use the iterative solver as preconditioner. | |
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) | |
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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. | |
bool | Doc_time |
Boolean flag that indicates whether the time taken. | |
bool | Compute_gradient |
flag that indicates whether the gradient required for the globally convergent Newton method should be computed or not | |
bool | Gradient_has_been_computed |
flag that indicates whether the gradient was computed or not | |
DoubleVector | Gradient_for_glob_conv_newton_solve |
DoubleVector storing the gradient for the globally convergent Newton method. | |
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static IdentityPreconditioner | Default_preconditioner |
Default preconditioner: The base class for preconditioners is a fully functional (if trivial!) preconditioner. | |
The conjugate gradient method.
Definition at line 283 of file iterative_linear_solver.h.
Constructor.
Definition at line 287 of file iterative_linear_solver.h.
Destructor (cleanup storage)
Definition at line 297 of file iterative_linear_solver.h.
References oomph::CG< MATRIX >::clean_up_memory().
Broken copy constructor.
Cleanup data that's stored for resolve (if any has been stored)
Reimplemented from oomph::LinearSolver.
Definition at line 375 of file iterative_linear_solver.h.
References oomph::CG< MATRIX >::Matrix_can_be_deleted, and oomph::CG< MATRIX >::Matrix_pt.
Referenced by oomph::CG< MATRIX >::disable_resolve(), and oomph::CG< MATRIX >::~CG().
Overload disable resolve so that it cleans up memory too.
Reimplemented from oomph::LinearSolver.
Definition at line 309 of file iterative_linear_solver.h.
References oomph::CG< MATRIX >::clean_up_memory(), and oomph::LinearSolver::disable_resolve().
Number of iterations taken.
Implements oomph::IterativeLinearSolver.
Definition at line 361 of file iterative_linear_solver.h.
References oomph::CG< MATRIX >::Iterations.
Broken assignment operator.
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virtual |
Re-solve the system defined by the last assembled Jacobian and the rhs vector specified here. Solution is returned in the vector result.
Reimplemented from oomph::LinearSolver.
Definition at line 922 of file iterative_linear_solver.cc.
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inlinevirtual |
Linear-algebra-type solver: Takes pointer to a matrix and rhs vector and returns the solution of the linear system.
Reimplemented from oomph::LinearSolver.
Definition at line 323 of file iterative_linear_solver.h.
References oomph::DistributableLinearAlgebraObject::build_distribution(), oomph::DistributableLinearAlgebraObject::distribution_pt(), oomph::LinearSolver::Enable_resolve, oomph::CG< MATRIX >::Matrix_can_be_deleted, oomph::CG< MATRIX >::Matrix_pt, oomph::CG< MATRIX >::Resolving, and oomph::CG< MATRIX >::solve_helper().
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.
Implements oomph::LinearSolver.
Definition at line 950 of file iterative_linear_solver.cc.
References oomph::DistributableLinearAlgebraObject::distribution_pt(), oomph::Problem::get_jacobian(), oomph::oomph_info, oomph::TAdvectionDiffusionReactionElement< NREAGENT, DIM, NNODE_1D >::TAdvectionDiffusionReactionElement(), and oomph::TimingHelpers::timer().
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private |
General interface to solve function.
Linear-algebra-type solver: Takes pointer to a matrix and rhs vector and returns the solution of the linear system. Algorithm and variable names based on "Matrix Computations, 2nd Ed." Golub & van Loan, John Hopkins University Press(1989), page 529.
Definition at line 605 of file iterative_linear_solver.cc.
References oomph::DoubleVector::dot(), i, oomph::DoubleMatrixBase::multiply(), oomph::DoubleMatrixBase::ncol(), oomph::DoubleVector::norm(), oomph::DoubleMatrixBase::nrow(), oomph::oomph_info, oomph::TAdvectionDiffusionReactionElement< NREAGENT, DIM, NNODE_1D >::TAdvectionDiffusionReactionElement(), and oomph::TimingHelpers::timer().
Referenced by oomph::CG< MATRIX >::solve().
Number of iterations taken.
Definition at line 385 of file iterative_linear_solver.h.
Referenced by oomph::CG< MATRIX >::iterations().
Boolean flag to indicate if the matrix pointed to be Matrix_pt can be deleted.
Definition at line 396 of file iterative_linear_solver.h.
Referenced by oomph::CG< MATRIX >::clean_up_memory(), and oomph::CG< MATRIX >::solve().
Pointer to matrix.
Definition at line 388 of file iterative_linear_solver.h.
Referenced by oomph::CG< MATRIX >::clean_up_memory(), and oomph::CG< MATRIX >::solve().
Boolean flag to indicate if the solve is done in re-solve mode, bypassing setup of matrix and preconditioner.
Definition at line 392 of file iterative_linear_solver.h.
Referenced by oomph::CG< MATRIX >::solve().