Class xlifepp::BicgStabSolver#

class BicgStabSolver : public xlifepp::IterativeSolver #

Inheritence diagram for xlifepp::BicgStabSolver:

Collaboration diagram for xlifepp::BicgStabSolver:

Implement BiConjugate Gradient Stabilized algorithm.

Public Functions

inline BicgStabSolver(const Parameter &p1)#: contructors with key-value system

inline BicgStabSolver(real_t eps, number_t maxOfIt = defaultMaxIterations, number_t vb = theVerboseLevel)#: Full Constructor.

inline number_t maximumOfIterations(const size_t nbRows)#

Return the maximum iteration as a function of linear system size.

Parameters:: nbRows – number of row of vector unknown X
Returns:: Maximum number of iteration BiCGStab is not guaranteed to converge in nbRows iterations so the default value is set to 2*nbRows

template<class Mat, class VecB, class VecX> inline VecX operator()(Mat &matA, VecB &vecB, VecX &vecX0)#: Template Solvers without a precondition without argument “solType.

template<class Mat, class VecB, class VecX, class Prec> inline VecX operator()(Mat &matA, VecB &vecB, VecX &vecX0, Prec &pc, ValueType solType)#: Template Solvers with a preconditioner.

template<class Mat, class VecB, class VecX> inline VecX operator()(Mat &matA, VecB &vecB, VecX &vecX0, ValueType solType)#: Template Solvers without a precondition.

template<class Mat, class VecB, class VecX, class VecPC> inline VecX operator()(Mat &matA, VecB &vecB, VecX &vecX0, VecPC &pc)#: Template Solvers with a precondition without argument “solType.

template<class Mat, class VecX> inline VecX operator()(Mat &matA, VecX &vecB, ValueType solType)#: Template Solvers without a preconditionner and vecX0 = vecB.