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#ifndef ROCALUTION_KRYLOV_CR_HPP_
#define ROCALUTION_KRYLOV_CR_HPP_

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

#include <vector>

namespace rocalution
{

    /** \ingroup solver_module
  * \class CR
  * \brief Conjugate Residual Method
  * \details
  * The Conjugate Residual method is an iterative method for solving sparse symmetric
  * semi-positive definite linear systems \f$Ax=b\f$. It is a Krylov subspace method and
  * differs from the much more popular Conjugate Gradient method that the system matrix
  * is not required to be positive definite. The method can be preconditioned where the
  * approximation should also be SPD or semi-positive definite.
  * \cite SAAD
  *
  * \tparam OperatorType - can be LocalMatrix, GlobalMatrix or LocalStencil
  * \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 CR : public IterativeLinearSolver<OperatorType, VectorType, ValueType>
    {
    public:
        ROCALUTION_EXPORT
        CR();
        ROCALUTION_EXPORT
        virtual ~CR();

        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);

    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:
        VectorType r_, z_, t_;
        VectorType p_, q_, v_;
    };

} // namespace rocalution

#endif // ROCALUTION_KRYLOV_CR_HPP_