A linear solver using the dune-istl solver factory to choose the solver and preconditioner at runtime.
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#include <dumux/linear/istlsolverfactorybackend.hh>
- Note
- the solvers are configured via the input file
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| IstlSolverFactoryBackend (const std::string ¶mGroup="") |
| Construct the backend for the sequential case only.
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| IstlSolverFactoryBackend (const typename LinearSolverTraits::GridView &gridView, const typename LinearSolverTraits::DofMapper &dofMapper, const std::string ¶mGroup="") |
| Construct the backend for parallel or sequential runs.
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bool | solve (Matrix &A, Vector &x, Vector &b) |
| Solve a linear system.
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const Dune::InverseOperatorResult & | result () const |
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const std::string & | name () const |
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Scalar | norm (const Vector &x) const |
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template<class Matrix, class Vector> |
bool | solve (const Matrix &A, Vector &x, const Vector &b) |
| Solve the linear system Ax = b.
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template<class Vector> |
auto | norm (const Vector &x) const |
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const std::string & | paramGroup () const |
| the parameter group for getting parameter from the parameter tree
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int | verbosity () const |
| the verbosity level
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void | setVerbosity (int v) |
| set the verbosity level
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int | maxIter () const |
| the maximum number of linear solver iterations
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void | setMaxIter (int i) |
| set the maximum number of linear solver iterations
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Scalar | residReduction () const |
| the linear solver residual reduction
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void | setResidualReduction (Scalar r) |
| set the linear solver residual reduction
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Scalar | relaxation () const |
| the linear solver relaxation factor
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void | setRelaxation (Scalar r) |
| set the linear solver relaxation factor
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int | precondIter () const |
| the number of preconditioner iterations
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void | setPrecondIter (int i) |
| set the number of preconditioner iterations
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int | precondVerbosity () const |
| the preconditioner verbosity
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void | setPrecondVerbosity (int verbosityLevel) |
| set the preconditioner verbosity
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◆ Scalar
export Scalar type (might be needed to set parameters from output) TODO: Do we need this?
◆ IstlSolverFactoryBackend() [1/2]
- Parameters
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paramGroup | the parameter group for parameter lookup |
◆ IstlSolverFactoryBackend() [2/2]
- Parameters
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gridView | the grid view for parallel communication via the grid |
dofMapper | an index mapper for dof entities |
paramGroup | the parameter group for parameter lookup |
◆ maxIter()
int Dumux::LinearSolver::maxIter |
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const |
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inlineinherited |
◆ name()
◆ norm() [1/2]
◆ norm() [2/2]
template<class Vector>
auto Dumux::LinearSolver::norm |
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const Vector & | x | ) |
const |
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inlineinherited |
◆ paramGroup()
const std::string & Dumux::LinearSolver::paramGroup |
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const |
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inlineinherited |
◆ precondIter()
int Dumux::LinearSolver::precondIter |
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const |
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inlineinherited |
◆ precondVerbosity()
int Dumux::LinearSolver::precondVerbosity |
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const |
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inlineinherited |
◆ relaxation()
Scalar Dumux::LinearSolver::relaxation |
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const |
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inlineinherited |
◆ residReduction()
Scalar Dumux::LinearSolver::residReduction |
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const |
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inlineinherited |
◆ result()
◆ setMaxIter()
void Dumux::LinearSolver::setMaxIter |
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int | i | ) |
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inlineinherited |
◆ setPrecondIter()
void Dumux::LinearSolver::setPrecondIter |
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int | i | ) |
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inlineinherited |
◆ setPrecondVerbosity()
void Dumux::LinearSolver::setPrecondVerbosity |
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int | verbosityLevel | ) |
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inlineinherited |
◆ setRelaxation()
void Dumux::LinearSolver::setRelaxation |
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Scalar | r | ) |
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inlineinherited |
◆ setResidualReduction()
void Dumux::LinearSolver::setResidualReduction |
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Scalar | r | ) |
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inlineinherited |
◆ setVerbosity()
void Dumux::LinearSolver::setVerbosity |
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int | v | ) |
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inlineinherited |
◆ solve() [1/2]
- Parameters
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A | the matrix |
x | the seeked solution vector, containing the initial solution upon entry |
b | the right hand side vector |
◆ solve() [2/2]
template<class Matrix, class Vector>
bool Dumux::LinearSolver::solve |
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const Matrix & | A, |
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Vector & | x, |
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const Vector & | b ) |
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inlineinherited |
- Note
- This has to be overloaded by the actual solver
◆ verbosity()
int Dumux::LinearSolver::verbosity |
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const |
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inlineinherited |
The documentation for this class was generated from the following file: