#ifndef STORM_MODELCHECKER_SPARSECTMCCSLMODELCHECKER_H_ #define STORM_MODELCHECKER_SPARSECTMCCSLMODELCHECKER_H_ #include "src/modelchecker/propositional/SparsePropositionalModelChecker.h" #include "src/models/sparse/Ctmc.h" #include "src/storage/dd/DdType.h" #include "src/utility/solver.h" #include "src/solver/LinearEquationSolver.h" namespace storm { namespace modelchecker { template class HybridCtmcCslModelChecker; template class SparseCtmcCslModelChecker : public SparsePropositionalModelChecker { public: friend class HybridCtmcCslModelChecker; explicit SparseCtmcCslModelChecker(storm::models::sparse::Ctmc const& model); explicit SparseCtmcCslModelChecker(storm::models::sparse::Ctmc const& model, std::unique_ptr>&& linearEquationSolverFactory); // The implemented methods of the AbstractModelChecker interface. virtual bool canHandle(storm::logic::Formula const& formula) const override; virtual std::unique_ptr computeBoundedUntilProbabilities(storm::logic::BoundedUntilFormula const& pathFormula, bool qualitative = false, boost::optional const& optimalityType = boost::optional()) override; virtual std::unique_ptr computeNextProbabilities(storm::logic::NextFormula const& pathFormula, bool qualitative = false, boost::optional const& optimalityType = boost::optional()) override; virtual std::unique_ptr computeUntilProbabilities(storm::logic::UntilFormula const& pathFormula, bool qualitative = false, boost::optional const& optimalityType = boost::optional()) override; virtual std::unique_ptr computeInstantaneousRewards(storm::logic::InstantaneousRewardFormula const& rewardPathFormula, bool qualitative = false, boost::optional const& optimalityType = boost::optional()) override; virtual std::unique_ptr computeCumulativeRewards(storm::logic::CumulativeRewardFormula const& rewardPathFormula, bool qualitative = false, boost::optional const& optimalityType = boost::optional()) override; virtual std::unique_ptr computeReachabilityRewards(storm::logic::ReachabilityRewardFormula const& rewardPathFormula, bool qualitative = false, boost::optional const& optimalityType = boost::optional()) override; protected: storm::models::sparse::Ctmc const& getModel() const override; private: // The methods that perform the actual checking. std::vector computeBoundedUntilProbabilitiesHelper(storm::storage::BitVector const& phiStates, storm::storage::BitVector const& psiStates, std::vector const& exitRates, bool qualitative, double lowerBound, double upperBound) const; static std::vector computeUntilProbabilitiesHelper(storm::storage::SparseMatrix const& transitionMatrix, storm::storage::SparseMatrix const& backwardTransitions, storm::storage::BitVector const& phiStates, storm::storage::BitVector const& psiStates, bool qualitative, storm::utility::solver::LinearEquationSolverFactory const& linearEquationSolverFactory); std::vector computeInstantaneousRewardsHelper(double timeBound) const; std::vector computeCumulativeRewardsHelper(double timeBound) const; /*! * Computes the matrix representing the transitions of the uniformized CTMC. * * @param transitionMatrix The matrix to uniformize. * @param maybeStates The states that need to be considered. * @param uniformizationRate The rate to be used for uniformization. * @param exitRates The exit rates of all states. * @return The uniformized matrix. */ static storm::storage::SparseMatrix computeUniformizedMatrix(storm::storage::SparseMatrix const& transitionMatrix, storm::storage::BitVector const& maybeStates, ValueType uniformizationRate, std::vector const& exitRates); /*! * Computes the transient probabilities for lambda time steps. * * @param uniformizedMatrix The uniformized transition matrix. * @param addVector A vector that is added in each step as a possible compensation for removing absorbing states * with a non-zero initial value. If this is not supposed to be used, it can be set to nullptr. * @param timeBound The time bound to use. * @param uniformizationRate The used uniformization rate. * @param values A vector mapping each state to an initial probability. * @param linearEquationSolverFactory The factory to use when instantiating new linear equation solvers. * @param useMixedPoissonProbabilities If set to true, instead of taking the poisson probabilities, mixed * poisson probabilities are used. * @return The vector of transient probabilities. */ template static std::vector computeTransientProbabilities(storm::storage::SparseMatrix const& uniformizedMatrix, std::vector const* addVector, ValueType timeBound, ValueType uniformizationRate, std::vector values, storm::utility::solver::LinearEquationSolverFactory const& linearEquationSolverFactory); /*! * Converts the given rate-matrix into a time-abstract probability matrix. * * @param rateMatrix The rate matrix. * @param exitRates The exit rate vector. */ static storm::storage::SparseMatrix computeProbabilityMatrix(storm::storage::SparseMatrix const& rateMatrix, std::vector const& exitRates); // An object that is used for solving linear equations and performing matrix-vector multiplication. std::unique_ptr> linearEquationSolverFactory; }; } // namespace modelchecker } // namespace storm #endif /* STORM_MODELCHECKER_SPARSECTMCCSLMODELCHECKER_H_ */