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#ifndef ROCALUTION_KRYLOV_BICGSTABL_HPP_
#define ROCALUTION_KRYLOV_BICGSTABL_HPP_

#include "../solver.hpp"
#include "export.hpp"

#include <vector>

namespace rocalution
{

    /** \ingroup solver_module
  * \class BiCGStabl
  * \brief Bi-Conjugate Gradient Stabilized (l) Method
  * \details
  * The Bi-Conjugate Gradient Stabilized (l) method is a generalization of BiCGStab for
  * solving sparse (non) symmetric linear systems \f$Ax=b\f$. It minimizes residuals over
  * \f$l\f$-dimensional Krylov subspaces. The degree \f$l\f$ can be set with SetOrder().
  * \cite bicgstabl
  *
  * \tparam OperatorType - can be LocalMatrix or GlobalMatrix
  * \tparam VectorType - can be LocalVector or GlobalVector
  * \tparam ValueType - can be float, double, std::complex<float> or std::complex<double>
  */
    template <class OperatorType, class VectorType, typename ValueType>
    class BiCGStabl : public IterativeLinearSolver<OperatorType, VectorType, ValueType>
    {
    public:
        ROCALUTION_EXPORT
        BiCGStabl();
        ROCALUTION_EXPORT
        virtual ~BiCGStabl();

        ROCALUTION_EXPORT
        virtual void Print(void) const;

        ROCALUTION_EXPORT
        virtual void Build(void);
        ROCALUTION_EXPORT
        virtual void ReBuildNumeric(void);
        ROCALUTION_EXPORT
        virtual void Clear(void);

        /** \brief Set the order */
        ROCALUTION_EXPORT
        virtual void SetOrder(int l);

    protected:
        virtual void SolveNonPrecond_(const VectorType& rhs, VectorType* x);
        virtual void SolvePrecond_(const VectorType& rhs, VectorType* x);

        virtual void PrintStart_(void) const;
        virtual void PrintEnd_(void) const;

        virtual void MoveToHostLocalData_(void);
        virtual void MoveToAcceleratorLocalData_(void);

    private:
        int l_;

        ValueType * gamma0_, *gamma1_, *gamma2_, *sigma_;
        ValueType** tau_;

        VectorType   r0_, z_;
        VectorType **r_, **u_;
    };

} // namespace rocalution

#endif // ROCALUTION_KRYLOV_BICGSTABL_HPP_