Class xlifepp::GmresSolver#
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class GmresSolver : public xlifepp::IterativeSolver#
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Implement Generalized Minimal Residual algorithm.
Public Functions
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inline GmresSolver(number_t kd, real_t eps, number_t maxOfIt = defaultMaxIterations, number_t vb = theVerboseLevel)#
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Full constructor.
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inline GmresSolver(number_t kd = defaultKrylovDimension)#
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Constructor with Krylov dimension.
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inline ~GmresSolver()#
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destructor
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inline number_t krylovDimension(const size_t nbRows)#
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defines a default value for the Krylov dimension
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inline number_t maximumOfIterations(const size_t nbRows)#
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Return the maximum iteration as a function of linear system size.
- Parameters:
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nbRows – number of row of vector unknown X
- Returns:
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Maximum number of iteration
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template<class Mat, class VecB, class VecX>
inline VecX operator()(Mat &matA, VecB &vecB, ValueType solType)#
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Template Solvers without a preconditionner and X0 = vecB.
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template<class Mat, class VecB, class VecX>
inline VecX operator()(Mat &matA, VecB &vecB, VecX &vecX0)#
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Template Solvers without a precondition without argument “solType.
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template<class Mat, class VecB, class VecX>
inline VecX operator()(Mat &matA, VecB &vecB, VecX &vecX0, ValueType solType)#
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Template Solvers without a preconditioner.
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template<class Mat, class VecB, class VecX, class VecPC>
inline VecX operator()(Mat &matA, VecB &vecB, VecX &vecX0, VecPC &pc)#
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Template Solvers with a precondition without argument “solType.
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template<class Mat, class VecB, class VecX, class VecPC>
inline VecX operator()(Mat &matA, VecB &vecB, VecX &vecX0, VecPC &pc, ValueType solType)#
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Template Solvers with a preconditionner.
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inline void print(std::ostream &out) const#
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print utility
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inline GmresSolver(number_t kd, real_t eps, number_t maxOfIt = defaultMaxIterations, number_t vb = theVerboseLevel)#