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#ifndef ROCALUTION_KRYLOV_CHEBYSHEV_HPP_
#define ROCALUTION_KRYLOV_CHEBYSHEV_HPP_

#include "solver.hpp"

#include <vector>

namespace rocalution
{

    /** \ingroup solver_module
  * \class Chebyshev
  * \brief Chebyshev Iteration Scheme
  * \details
  * The Chebyshev Iteration scheme (also known as acceleration scheme) is similar to the
  * CG method but requires minimum and maximum eigenvalues of the operator.
  * \cite templates
  *
  * \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 Chebyshev : public IterativeLinearSolver<OperatorType, VectorType, ValueType>
    {
    public:
        Chebyshev();
        virtual ~Chebyshev();

        virtual void Print(void) const;

        /** \brief Set the minimum and maximum eigenvalues of the operator */
        void Set(ValueType lambda_min, ValueType lambda_max);

        virtual void Build(void);
        virtual void ReBuildNumeric(void);
        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:
        bool      init_lambda_;
        ValueType lambda_min_, lambda_max_;

        VectorType r_, z_;
        VectorType p_;
    };

} // namespace rocalution

#endif // ROCALUTION_KRYLOV_CHEBYSHEV_HPP_