1#ifndef STORM_MODELCHECKER_SPARSE_DTMC_PRCTL_MODELCHECKER_HELPER_H_
2#define STORM_MODELCHECKER_SPARSE_DTMC_PRCTL_MODELCHECKER_HELPER_H_
6#include <boost/optional.hpp>
22namespace modelchecker {
27template<
typename ValueType,
typename RewardModelType = storm::models::sparse::StandardRewardModel<ValueType>,
typename SolutionType = ValueType>
54 RewardModelType
const& rewardModel, uint_fast64_t stepBound);
58 RewardModelType
const& rewardModel, uint_fast64_t stepCount);
67 RewardModelType
const& rewardModel, uint_fast64_t stepBound, ValueType discountFactor);
72 RewardModelType
const& rewardModel,
bool qualitative, ValueType discountFactor,
84 std::vector<ValueType>
const& totalStateRewardVector,
111 totalStateRewardVectorGetter,
115 struct BaierTransformedModel {
116 BaierTransformedModel() : noTargetStates(
false) {
124 boost::optional<storm::storage::SparseMatrix<ValueType>> transitionMatrix;
125 boost::optional<storm::storage::BitVector> targetStates;
126 boost::optional<std::vector<ValueType>> stateRewards;
133 boost::optional<std::vector<ValueType>>
const& stateRewards);
This class contains information that might accelerate the model checking process.
static std::vector< SolutionType > computeUntilProbabilities(Environment const &env, storm::solver::SolveGoal< ValueType, SolutionType > &&goal, storm::storage::SparseMatrix< ValueType > const &transitionMatrix, storm::storage::SparseMatrix< ValueType > const &backwardTransitions, storm::storage::BitVector const &phiStates, storm::storage::BitVector const &psiStates, bool qualitative, ModelCheckerHint const &hint=ModelCheckerHint())
static std::vector< SolutionType > computeConditionalProbabilities(Environment const &env, storm::solver::SolveGoal< ValueType, SolutionType > &&goal, storm::storage::SparseMatrix< ValueType > const &transitionMatrix, storm::storage::SparseMatrix< ValueType > const &backwardTransitions, storm::storage::BitVector const &targetStates, storm::storage::BitVector const &conditionStates, bool qualitative)
static std::vector< SolutionType > computeReachabilityTimes(Environment const &env, storm::solver::SolveGoal< ValueType, SolutionType > &&goal, storm::storage::SparseMatrix< ValueType > const &transitionMatrix, storm::storage::SparseMatrix< ValueType > const &backwardTransitions, storm::storage::BitVector const &targetStates, bool qualitative, ModelCheckerHint const &hint=ModelCheckerHint())
static std::vector< SolutionType > computeReachabilityRewards(Environment const &env, storm::solver::SolveGoal< ValueType, SolutionType > &&goal, storm::storage::SparseMatrix< ValueType > const &transitionMatrix, storm::storage::SparseMatrix< ValueType > const &backwardTransitions, RewardModelType const &rewardModel, storm::storage::BitVector const &targetStates, bool qualitative, ModelCheckerHint const &hint=ModelCheckerHint())
static std::vector< SolutionType > computeDiscountedCumulativeRewards(Environment const &env, storm::solver::SolveGoal< ValueType, SolutionType > &&goal, storm::storage::SparseMatrix< ValueType > const &transitionMatrix, RewardModelType const &rewardModel, uint_fast64_t stepBound, ValueType discountFactor)
static std::vector< SolutionType > computeConditionalRewards(Environment const &env, storm::solver::SolveGoal< ValueType, SolutionType > &&goal, storm::storage::SparseMatrix< ValueType > const &transitionMatrix, storm::storage::SparseMatrix< ValueType > const &backwardTransitions, RewardModelType const &rewardModel, storm::storage::BitVector const &targetStates, storm::storage::BitVector const &conditionStates, bool qualitative)
static std::vector< SolutionType > computeDiscountedTotalRewards(Environment const &env, storm::solver::SolveGoal< ValueType, SolutionType > &&goal, storm::storage::SparseMatrix< ValueType > const &transitionMatrix, storm::storage::SparseMatrix< ValueType > const &backwardTransitions, RewardModelType const &rewardModel, bool qualitative, ValueType discountFactor, ModelCheckerHint const &hint=ModelCheckerHint())
static std::map< storm::storage::sparse::state_type, SolutionType > computeRewardBoundedValues(Environment const &env, storm::models::sparse::Dtmc< ValueType > const &model, std::shared_ptr< storm::logic::OperatorFormula const > rewardBoundedFormula)
static std::vector< SolutionType > computeAllUntilProbabilities(Environment const &env, storm::solver::SolveGoal< ValueType, SolutionType > &&goal, storm::storage::SparseMatrix< ValueType > const &transitionMatrix, storm::storage::BitVector const &initialStates, storm::storage::BitVector const &phiStates, storm::storage::BitVector const &psiStates)
static std::vector< SolutionType > computeGloballyProbabilities(Environment const &env, storm::solver::SolveGoal< ValueType, SolutionType > &&goal, storm::storage::SparseMatrix< ValueType > const &transitionMatrix, storm::storage::SparseMatrix< ValueType > const &backwardTransitions, storm::storage::BitVector const &psiStates, bool qualitative)
static std::vector< SolutionType > computeTotalRewards(Environment const &env, storm::solver::SolveGoal< ValueType, SolutionType > &&goal, storm::storage::SparseMatrix< ValueType > const &transitionMatrix, storm::storage::SparseMatrix< ValueType > const &backwardTransitions, RewardModelType const &rewardModel, bool qualitative, ModelCheckerHint const &hint=ModelCheckerHint())
static std::vector< SolutionType > computeCumulativeRewards(Environment const &env, storm::solver::SolveGoal< ValueType, SolutionType > &&goal, storm::storage::SparseMatrix< ValueType > const &transitionMatrix, RewardModelType const &rewardModel, uint_fast64_t stepBound)
static std::vector< SolutionType > computeInstantaneousRewards(Environment const &env, storm::solver::SolveGoal< ValueType, SolutionType > &&goal, storm::storage::SparseMatrix< ValueType > const &transitionMatrix, RewardModelType const &rewardModel, uint_fast64_t stepCount)
static std::vector< SolutionType > computeNextProbabilities(Environment const &env, storm::storage::SparseMatrix< ValueType > const &transitionMatrix, storm::storage::BitVector const &nextStates)
This class represents a discrete-time Markov chain.
A bit vector that is internally represented as a vector of 64-bit values.
A class that holds a possibly non-square matrix in the compressed row storage format.