A GMRES solver for sparse square problems. More...
#include <GMRES.h>
Public Types | |
typedef _MatrixType | MatrixType |
typedef _Preconditioner | Preconditioner |
typedef MatrixType::RealScalar | RealScalar |
typedef MatrixType::Scalar | Scalar |
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enum | |
typedef internal::traits< GMRES< _MatrixType, _Preconditioner > >::MatrixType | MatrixType |
typedef internal::traits< GMRES< _MatrixType, _Preconditioner > >::Preconditioner | Preconditioner |
typedef MatrixType::RealScalar | RealScalar |
typedef MatrixType::Scalar | Scalar |
typedef MatrixType::StorageIndex | StorageIndex |
Public Member Functions | |
template<typename Rhs , typename Dest > | |
void | _solve_impl (const Rhs &b, MatrixBase< Dest > &x) const |
template<typename Rhs , typename Dest > | |
void | _solve_with_guess_impl (const Rhs &b, Dest &x) const |
Index | get_restart () |
GMRES () | |
template<typename MatrixDerived > | |
GMRES (const EigenBase< MatrixDerived > &A) | |
void | set_restart (const Index restart) |
~GMRES () | |
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void | _solve_impl (const Rhs &b, SparseMatrixBase< DestDerived > &aDest) const |
GMRES< _MatrixType, _Preconditioner > & | analyzePattern (const EigenBase< MatrixDerived > &A) |
Index | cols () const |
GMRES< _MatrixType, _Preconditioner > & | compute (const EigenBase< MatrixDerived > &A) |
RealScalar | error () const |
GMRES< _MatrixType, _Preconditioner > & | factorize (const EigenBase< MatrixDerived > &A) |
ComputationInfo | info () const |
Index | iterations () const |
IterativeSolverBase () | |
IterativeSolverBase (const EigenBase< MatrixDerived > &A) | |
Index | maxIterations () const |
Preconditioner & | preconditioner () |
const Preconditioner & | preconditioner () const |
Index | rows () const |
GMRES< _MatrixType, _Preconditioner > & | setMaxIterations (Index maxIters) |
GMRES< _MatrixType, _Preconditioner > & | setTolerance (const RealScalar &tolerance) |
const SolveWithGuess< GMRES< _MatrixType, _Preconditioner >, Rhs, Guess > | solveWithGuess (const MatrixBase< Rhs > &b, const Guess &x0) const |
RealScalar | tolerance () const |
~IterativeSolverBase () | |
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void | _solve_impl (const SparseMatrixBase< Rhs > &b, SparseMatrixBase< Dest > &dest) const |
GMRES< _MatrixType, _Preconditioner > & | derived () |
const GMRES< _MatrixType, _Preconditioner > & | derived () const |
const Solve< GMRES< _MatrixType, _Preconditioner >, Rhs > | solve (const MatrixBase< Rhs > &b) const |
const Solve< GMRES< _MatrixType, _Preconditioner >, Rhs > | solve (const SparseMatrixBase< Rhs > &b) const |
SparseSolverBase () | |
~SparseSolverBase () | |
Private Types | |
typedef IterativeSolverBase< GMRES > | Base |
Private Attributes | |
Index | m_restart |
Additional Inherited Members | |
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typedef MatrixWrapper::ActualMatrixType | ActualMatrixType |
typedef SparseSolverBase< GMRES< _MatrixType, _Preconditioner > > | Base |
typedef internal::generic_matrix_wrapper< MatrixType > | MatrixWrapper |
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void | grab (const InputType &A) |
void | init () |
const ActualMatrixType & | matrix () const |
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bool | m_analysisIsOk |
RealScalar | m_error |
bool | m_factorizationIsOk |
ComputationInfo | m_info |
Index | m_iterations |
MatrixWrapper | m_matrixWrapper |
Index | m_maxIterations |
Preconditioner | m_preconditioner |
RealScalar | m_tolerance |
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bool | m_isInitialized |
A GMRES solver for sparse square problems.
This class allows to solve for A.x = b sparse linear problems using a generalized minimal residual method. The vectors x and b can be either dense or sparse.
_MatrixType | the type of the sparse matrix A, can be a dense or a sparse matrix. |
_Preconditioner | the type of the preconditioner. Default is DiagonalPreconditioner |
The maximal number of iterations and tolerance value can be controlled via the setMaxIterations() and setTolerance() methods. The defaults are the size of the problem for the maximal number of iterations and NumTraits<Scalar>::epsilon() for the tolerance.
This class can be used as the direct solver classes. Here is a typical usage example:
By default the iterations start with x=0 as an initial guess of the solution. One can control the start using the solveWithGuess() method.
GMRES can also be used in a matrix-free context, see the following example .
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typedef _MatrixType Eigen::GMRES< _MatrixType, _Preconditioner >::MatrixType |
typedef _Preconditioner Eigen::GMRES< _MatrixType, _Preconditioner >::Preconditioner |
typedef MatrixType::RealScalar Eigen::GMRES< _MatrixType, _Preconditioner >::RealScalar |
typedef MatrixType::Scalar Eigen::GMRES< _MatrixType, _Preconditioner >::Scalar |
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Initialize the solver with matrix A for further Ax=b
solving.
This constructor is a shortcut for the default constructor followed by a call to compute().
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