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#ifndef STORM_SOLVER_NATIVEMINMAXLINEAREQUATIONSOLVER_H_
#define STORM_SOLVER_NATIVEMINMAXLINEAREQUATIONSOLVER_H_
#include <cstdint>
#include "src/solver/MinMaxLinearEquationSolver.h"
namespace storm {
namespace solver {
/*!
* A class that uses the gmm++ library to implement the MinMaxLinearEquationSolver interface.
*/
template<class ValueType>
class NativeMinMaxLinearEquationSolver : public MinMaxLinearEquationSolver<ValueType> {
public:
/*!
* Constructs a min/max linear equation solver with parameters being set according to the settings
* object.
*
* @param A The matrix defining the coefficients of the linear equation system.
*/
NativeMinMaxLinearEquationSolver(storm::storage::SparseMatrix<ValueType> const& A, MinMaxTechniqueSelection preferredTechnique = MinMaxTechniqueSelection::FROMSETTINGS, bool trackPolicy = false);
/*!
* Constructs a min/max linear equation solver with the given parameters.
*
* @param A The matrix defining the coefficients of the linear equation system.
* @param precision The precision to use for convergence detection.
* @param maximalNumberOfIterations The maximal number of iterations do perform before iteration is aborted.
* @param relative If set, the relative error rather than the absolute error is considered for convergence
* detection.
*/
NativeMinMaxLinearEquationSolver(storm::storage::SparseMatrix<ValueType> const& A, double precision, uint_fast64_t maximalNumberOfIterations, MinMaxTechniqueSelection tech, bool relative = true, bool trackPolicy = false);
virtual void performMatrixVectorMultiplication(bool minimize, std::vector<ValueType>& x, std::vector<ValueType>* b = nullptr, uint_fast64_t n = 1, std::vector<ValueType>* newX = nullptr) const override;
virtual void solveEquationSystem(bool minimize, std::vector<ValueType>& x, std::vector<ValueType> const& b, std::vector<ValueType>* multiplyResult = nullptr, std::vector<ValueType>* newX = nullptr) const override;
};
} // namespace solver
} // namespace storm
#endif /* STORM_SOLVER_NATIVEMINMAXLINEAREQUATIONSOLVER_H_ */