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Implemented expected time on CTMC by reduction to DTMC with rewards 

Former-commit-id: ebd3603069
main
Mavo 10 years ago
parent
65bb496bb9
commit
71070cb281
4 changed files with 26 additions and 4 deletions
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  1. 15
      src/modelchecker/csl/SparseCtmcCslModelChecker.cpp
  2. 1
      src/modelchecker/csl/SparseCtmcCslModelChecker.h
  3. 12
      src/modelchecker/csl/helper/SparseCtmcCslHelper.cpp
  4. 2
      src/modelchecker/csl/helper/SparseCtmcCslHelper.h

15
src/modelchecker/csl/SparseCtmcCslModelChecker.cpp
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@ -31,7 +31,7 @@ namespace storm {
template <typename SparseCtmcModelType>
bool SparseCtmcCslModelChecker<SparseCtmcModelType>::canHandle(storm::logic::Formula const& formula) const {
return formula.isCslStateFormula() || formula.isCslPathFormula() || formula.isRewardPathFormula();
return formula.isCslStateFormula() || formula.isCslPathFormula() || formula.isRewardPathFormula() || formula.isExpectedTimeOperatorFormula();
}
template <typename SparseCtmcModelType>
@ -101,8 +101,17 @@ namespace storm {
storm::storage::SparseMatrix<ValueType> probabilityMatrix = storm::modelchecker::helper::SparseCtmcCslHelper<ValueType>::computeProbabilityMatrix(this->getModel().getTransitionMatrix(), this->getModel().getExitRateVector());
std::vector<ValueType> numericResult = storm::modelchecker::helper::SparseCtmcCslHelper<ValueType>::computeLongRunAverage(probabilityMatrix, subResult.getTruthValuesVector(), &this->getModel().getExitRateVector(), qualitative, *linearEquationSolverFactory);
return std::unique_ptr<CheckResult>(new ExplicitQuantitativeCheckResult<ValueType>(std::move(numericResult)));
}
}
template <typename SparseCtmcModelType>
std::unique_ptr<CheckResult> SparseCtmcCslModelChecker<SparseCtmcModelType>::computeExpectedTimes(storm::logic::EventuallyFormula const& eventuallyFormula, bool qualitative, boost::optional<OptimizationDirection> const& optimalityType) {
std::unique_ptr<CheckResult> subResultPointer = this->check(eventuallyFormula.getSubformula());
ExplicitQualitativeCheckResult& subResult = subResultPointer->asExplicitQualitativeCheckResult();
std::vector<ValueType> numericResult = storm::modelchecker::helper::SparseCtmcCslHelper<ValueType>::computeExpectedTimes(this->getModel().getTransitionMatrix(), this->getModel().getBackwardTransitions(), this->getModel().getExitRateVector(), subResult.getTruthValuesVector(), qualitative, *linearEquationSolverFactory);
return std::unique_ptr<CheckResult>(new ExplicitQuantitativeCheckResult<ValueType>(std::move(numericResult)));
}
// Explicitly instantiate the model checker.
template class SparseCtmcCslModelChecker<storm::models::sparse::Ctmc<double>>;

1
src/modelchecker/csl/SparseCtmcCslModelChecker.h
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@ -28,6 +28,7 @@ namespace storm {
virtual std::unique_ptr<CheckResult> computeInstantaneousRewards(storm::logic::InstantaneousRewardFormula const& rewardPathFormula, boost::optional<std::string> const& rewardModelName = boost::optional<std::string>(), bool qualitative = false, boost::optional<OptimizationDirection> const& optimalityType = boost::optional<OptimizationDirection>()) override;
virtual std::unique_ptr<CheckResult> computeReachabilityRewards(storm::logic::ReachabilityRewardFormula const& rewardPathFormula, boost::optional<std::string> const& rewardModelName = boost::optional<std::string>(), bool qualitative = false, boost::optional<OptimizationDirection> const& optimalityType = boost::optional<OptimizationDirection>()) override;
virtual std::unique_ptr<CheckResult> computeLongRunAverage(storm::logic::StateFormula const& stateFormula, bool qualitative = false, boost::optional<OptimizationDirection> const& optimalityType = boost::optional<OptimizationDirection>()) override;
virtual std::unique_ptr<CheckResult> computeExpectedTimes(storm::logic::EventuallyFormula const& eventuallyFormula, bool qualitative = false, boost::optional<OptimizationDirection> const& optimalityType = boost::optional<OptimizationDirection>()) override;
private:
// An object that is used for solving linear equations and performing matrix-vector multiplication.

12
src/modelchecker/csl/helper/SparseCtmcCslHelper.cpp
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@ -650,11 +650,21 @@ namespace storm {
return result;
}
template <typename ValueType>
std::vector<ValueType> SparseCtmcCslHelper<ValueType>::computeExpectedTimes(storm::storage::SparseMatrix<ValueType> const& rateMatrix, storm::storage::SparseMatrix<ValueType> const& backwardTransitions, std::vector<ValueType> const& exitRateVector, storm::storage::BitVector const& targetStates, bool qualitative, storm::utility::solver::LinearEquationSolverFactory<ValueType> const& linearEquationSolverFactory) {
// Compute expected time on CTMC by reduction to DTMC with rewards
storm::storage::SparseMatrix<ValueType> probabilityMatrix = computeProbabilityMatrix(rateMatrix, exitRateVector);
std::vector<ValueType> totalRewardVector;
for (auto exitRate : exitRateVector) {
totalRewardVector.push_back(1 / exitRate);
}
return storm::modelchecker::helper::SparseDtmcPrctlHelper<ValueType>::computeReachabilityRewards(probabilityMatrix, backwardTransitions, totalRewardVector, targetStates, qualitative, linearEquationSolverFactory);
}
template class SparseCtmcCslHelper<double>;
template std::vector<double> SparseCtmcCslHelper<double>::computeInstantaneousRewards(storm::storage::SparseMatrix<double> const& rateMatrix, std::vector<double> const& exitRateVector, storm::models::sparse::StandardRewardModel<double> const& rewardModel, double timeBound, storm::utility::solver::LinearEquationSolverFactory<double> const& linearEquationSolverFactory);
template std::vector<double> SparseCtmcCslHelper<double>::computeCumulativeRewards(storm::storage::SparseMatrix<double> const& rateMatrix, std::vector<double> const& exitRateVector, storm::models::sparse::StandardRewardModel<double> const& rewardModel, double timeBound, storm::utility::solver::LinearEquationSolverFactory<double> const& linearEquationSolverFactory);
template std::vector<double> SparseCtmcCslHelper<double>::computeReachabilityRewards(storm::storage::SparseMatrix<double> const& rateMatrix, storm::storage::SparseMatrix<double> const& backwardTransitions, std::vector<double> const& exitRateVector, storm::models::sparse::StandardRewardModel<double> const& rewardModel, storm::storage::BitVector const& targetStates, bool qualitative, storm::utility::solver::LinearEquationSolverFactory<double> const& linearEquationSolverFactory);
}
}
}

2
src/modelchecker/csl/helper/SparseCtmcCslHelper.h
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@ -28,6 +28,8 @@ namespace storm {
static std::vector<ValueType> computeLongRunAverage(storm::storage::SparseMatrix<ValueType> const& probabilityMatrix, storm::storage::BitVector const& psiStates, std::vector<ValueType> const* exitRateVector, bool qualitative, storm::utility::solver::LinearEquationSolverFactory<ValueType> const& linearEquationSolverFactory);
static std::vector<ValueType> computeExpectedTimes(storm::storage::SparseMatrix<ValueType> const& rateMatrix, storm::storage::SparseMatrix<ValueType> const& backwardTransitions, std::vector<ValueType> const& exitRateVector, storm::storage::BitVector const& targetStates, bool qualitative, storm::utility::solver::LinearEquationSolverFactory<ValueType> const& minMaxLinearEquationSolverFactory);
/*!
* Computes the matrix representing the transitions of the uniformized CTMC.
*

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