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Making hybrid infinite horizon helper ready for deterministic models.

tempestpy_adaptions
Tim Quatmann 4 years ago
parent
19f6552b05
commit
9c82fe7b0d
4 changed files with 230 additions and 165 deletions
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  1. 143
      src/storm/modelchecker/helper/infinitehorizon/HybridInfiniteHorizonHelper.cpp
  2. 87
      src/storm/modelchecker/helper/infinitehorizon/HybridInfiniteHorizonHelper.h
  3. 101
      src/storm/modelchecker/helper/infinitehorizon/HybridNondeterministicInfiniteHorizonHelper.cpp
  4. 64
      src/storm/modelchecker/helper/infinitehorizon/HybridNondeterministicInfiniteHorizonHelper.h

143
src/storm/modelchecker/helper/infinitehorizon/HybridInfiniteHorizonHelper.cpp
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#include "HybridInfiniteHorizonHelper.h"
#include "storm/modelchecker/helper/infinitehorizon/SparseNondeterministicInfiniteHorizonHelper.h"
#include "storm/modelchecker/helper/infinitehorizon/SparseDeterministicInfiniteHorizonHelper.h"
#include "storm/modelchecker/helper/utility/SetInformationFromOtherHelper.h"
#include "storm/models/symbolic/NondeterministicModel.h"
#include "storm/storage/SparseMatrix.h"
#include "storm/utility/macros.h"
#include "storm/exceptions/NotSupportedException.h"
namespace storm {
namespace modelchecker {
namespace helper {
template <typename ValueType, storm::dd::DdType DdType, bool Nondeterministic>
HybridInfiniteHorizonHelper<ValueType, DdType, Nondeterministic>::HybridInfiniteHorizonHelper(storm::models::symbolic::Model<DdType, ValueType> const& model, storm::dd::Add<DdType, ValueType> const& transitionMatrix) : _model(model), _transitionMatrix(transitionMatrix), _markovianStates(nullptr), _exitRates(nullptr) {
// Intentionally left empty.
}
template <typename ValueType, storm::dd::DdType DdType, bool Nondeterministic>
HybridInfiniteHorizonHelper<ValueType, DdType, Nondeterministic>::HybridInfiniteHorizonHelper(storm::models::symbolic::Model<DdType, ValueType> const& model, storm::dd::Add<DdType, ValueType> const& transitionMatrix, storm::dd::Bdd<DdType> const& markovianStates, storm::dd::Add<DdType, ValueType> const& exitRateVector) : _model(model), _transitionMatrix(transitionMatrix), _markovianStates(&markovianStates), _exitRates(&exitRateVector) {
// Intentionally left empty.
}
template <typename ValueType, storm::dd::DdType DdType, bool Nondeterministic>
HybridInfiniteHorizonHelper<ValueType, DdType, Nondeterministic>::HybridInfiniteHorizonHelper(storm::models::symbolic::Model<DdType, ValueType> const& model, storm::dd::Add<DdType, ValueType> const& transitionMatrix, storm::dd::Add<DdType, ValueType> const& exitRateVector) : _model(model), _transitionMatrix(transitionMatrix), _markovianStates(nullptr), _exitRates(&exitRateVector) {
// Intentionally left empty.
}
template <typename ValueType, storm::dd::DdType DdType, bool Nondeterministic>
std::unique_ptr<HybridQuantitativeCheckResult<DdType, ValueType>> HybridInfiniteHorizonHelper<ValueType, DdType, Nondeterministic>::computeLongRunAverageProbabilities(Environment const& env, storm::dd::Bdd<DdType> const& psiStates) {
// Convert this query to an instance for the sparse engine.
// Create ODD for the translation.
storm::dd::Odd odd = _model.getReachableStates().createOdd();
// Translate all required components
storm::storage::SparseMatrix<ValueType> explicitTransitionMatrix;
if (_model.isNondeterministicModel()) {
explicitTransitionMatrix = _transitionMatrix.toMatrix(dynamic_cast<storm::models::symbolic::NondeterministicModel<DdType, ValueType> const&>(_model).getNondeterminismVariables(), odd, odd);
} else {
explicitTransitionMatrix = _transitionMatrix.toMatrix(odd, odd);
}
std::vector<ValueType> explicitExitRateVector;
storm::storage::BitVector explicitMarkovianStates;
if (isContinuousTime()) {
explicitExitRateVector = _exitRates->toVector(odd);
if (_markovianStates) {
explicitMarkovianStates = _markovianStates->toVector(odd);
}
}
auto sparseHelper = createSparseHelper(explicitTransitionMatrix, explicitMarkovianStates, explicitExitRateVector, odd);
auto explicitResult = sparseHelper->computeLongRunAverageProbabilities(env, psiStates.toVector(odd));
return std::make_unique<HybridQuantitativeCheckResult<DdType, ValueType>>(_model.getReachableStates(), _model.getManager().getBddZero(), _model.getManager().template getAddZero<ValueType>(), _model.getReachableStates(), std::move(odd), std::move(explicitResult));
}
template <typename ValueType, storm::dd::DdType DdType, bool Nondeterministic>
std::unique_ptr<HybridQuantitativeCheckResult<DdType, ValueType>> HybridInfiniteHorizonHelper<ValueType, DdType, Nondeterministic>::computeLongRunAverageRewards(Environment const& env, storm::models::symbolic::StandardRewardModel<DdType, ValueType> const& rewardModel) {
// Convert this query to an instance for the sparse engine.
// Create ODD for the translation.
storm::dd::Odd odd = _model.getReachableStates().createOdd();
// Translate all required components
// Transitions and rewards
storm::storage::SparseMatrix<ValueType> explicitTransitionMatrix;
std::vector<ValueType> explicitStateRewards, explicitActionRewards;
if (rewardModel.hasStateRewards()) {
explicitStateRewards = rewardModel.getStateRewardVector().toVector(odd);
}
if (_model.isNondeterministicModel() && rewardModel.hasStateActionRewards()) {
// Matrix and action-based vector have to be produced at the same time to guarantee the correct order
auto matrixRewards = _transitionMatrix.toMatrixVector(rewardModel.getStateActionRewardVector(), dynamic_cast<storm::models::symbolic::NondeterministicModel<DdType, ValueType> const&>(_model).getNondeterminismVariables(), odd, odd);
explicitTransitionMatrix = std::move(matrixRewards.first);
explicitActionRewards = std::move(matrixRewards.second);
} else {
// Translate matrix only
explicitTransitionMatrix = _transitionMatrix.toMatrix(dynamic_cast<storm::models::symbolic::NondeterministicModel<DdType, ValueType> const&>(_model).getNondeterminismVariables(), odd, odd);
if (rewardModel.hasStateActionRewards()) {
// For deterministic models we can translate the action rewards easily
explicitActionRewards = rewardModel.getStateActionRewardVector().toVector(odd);
}
}
STORM_LOG_THROW(!rewardModel.hasTransitionRewards(), storm::exceptions::NotSupportedException, "Transition rewards are not supported in this engine.");
// Continuous time information
std::vector<ValueType> explicitExitRateVector;
storm::storage::BitVector explicitMarkovianStates;
if (isContinuousTime()) {
explicitExitRateVector = _exitRates->toVector(odd);
if (_markovianStates) {
explicitMarkovianStates = _markovianStates->toVector(odd);
}
}
auto sparseHelper = createSparseHelper(explicitTransitionMatrix, explicitMarkovianStates, explicitExitRateVector, odd);
auto explicitResult = sparseHelper->computeLongRunAverageValues(env, rewardModel.hasStateRewards() ? &explicitStateRewards : nullptr, rewardModel.hasStateActionRewards() ? &explicitActionRewards : nullptr);
return std::make_unique<HybridQuantitativeCheckResult<DdType, ValueType>>(_model.getReachableStates(), _model.getManager().getBddZero(), _model.getManager().template getAddZero<ValueType>(), _model.getReachableStates(), std::move(odd), std::move(explicitResult));
}
template <typename ValueType, storm::dd::DdType DdType, bool Nondeterministic>
bool HybridInfiniteHorizonHelper<ValueType, DdType, Nondeterministic>::isContinuousTime() const {
STORM_LOG_ASSERT((_markovianStates == nullptr) || (_exitRates != nullptr), "Inconsistent information given: Have Markovian states but no exit rates." );
return _exitRates != nullptr;
}
template <typename ValueType, storm::dd::DdType DdType, bool Nondeterministic>
template <bool N, std::enable_if_t<N, int>>
std::unique_ptr<SparseInfiniteHorizonHelper<ValueType, Nondeterministic>> HybridInfiniteHorizonHelper<ValueType, DdType, Nondeterministic>::createSparseHelper(storm::storage::SparseMatrix<ValueType> const& transitionMatrix, storm::storage::BitVector const& markovianStates, std::vector<ValueType> const& exitRates, storm::dd::Odd const& odd) const {
std::unique_ptr<SparseInfiniteHorizonHelper<ValueType, Nondeterministic>> result;
if (isContinuousTime()) {
result = std::make_unique<storm::modelchecker::helper::SparseNondeterministicInfiniteHorizonHelper<ValueType>>(transitionMatrix, markovianStates, exitRates);
} else {
result = std::make_unique<storm::modelchecker::helper::SparseNondeterministicInfiniteHorizonHelper<ValueType>>(transitionMatrix);
}
storm::modelchecker::helper::setInformationFromOtherHelperNondeterministic(*result, *this, [&odd](storm::dd::Bdd<DdType> const& s){ return s.toVector(odd); });
STORM_LOG_WARN_COND(!this->isProduceSchedulerSet(), "Scheduler extraction not supported in Hybrid engine.");
return result;
}
template <typename ValueType, storm::dd::DdType DdType, bool Nondeterministic>
template <bool N, std::enable_if_t<!N, int>>
std::unique_ptr<SparseInfiniteHorizonHelper<ValueType, Nondeterministic>> HybridInfiniteHorizonHelper<ValueType, DdType, Nondeterministic>::createSparseHelper(storm::storage::SparseMatrix<ValueType> const& transitionMatrix, storm::storage::BitVector const& markovianStates, std::vector<ValueType> const& exitRates, storm::dd::Odd const& odd) const {
std::unique_ptr<SparseInfiniteHorizonHelper<ValueType, Nondeterministic>> result;
if (isContinuousTime()) {
result = std::make_unique<storm::modelchecker::helper::SparseDeterministicInfiniteHorizonHelper<ValueType>>(transitionMatrix, exitRates);
} else {
result = std::make_unique<storm::modelchecker::helper::SparseDeterministicInfiniteHorizonHelper<ValueType>>(transitionMatrix);
}
storm::modelchecker::helper::setInformationFromOtherHelperDeterministic(*result, *this, [&odd](storm::dd::Bdd<DdType> const& s){ return s.toVector(odd); });
return result;
}
template class HybridInfiniteHorizonHelper<double, storm::dd::DdType::CUDD, false>;
template class HybridInfiniteHorizonHelper<double, storm::dd::DdType::CUDD, true>;
template class HybridInfiniteHorizonHelper<double, storm::dd::DdType::Sylvan, false>;
template class HybridInfiniteHorizonHelper<double, storm::dd::DdType::Sylvan, true>;
template class HybridInfiniteHorizonHelper<storm::RationalNumber, storm::dd::DdType::Sylvan, false>;
template class HybridInfiniteHorizonHelper<storm::RationalNumber, storm::dd::DdType::Sylvan, true>;
template class HybridInfiniteHorizonHelper<storm::RationalFunction, storm::dd::DdType::Sylvan, false>;
}
}
}

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src/storm/modelchecker/helper/infinitehorizon/HybridInfiniteHorizonHelper.h
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#pragma once
#include "storm/modelchecker/helper/SingleValueModelCheckerHelper.h"
#include "storm/modelchecker/results/HybridQuantitativeCheckResult.h"
#include "storm/models/symbolic/Model.h"
#include "storm/models/symbolic/StandardRewardModel.h"
#include "storm/storage/dd/DdManager.h"
#include "storm/storage/dd/Add.h"
#include "storm/storage/dd/Bdd.h"
namespace storm {
class Environment;
namespace storage {
template <typename ValueType> class SparseMatrix;
class BitVector;
}
namespace modelchecker {
namespace helper {
template <typename ValueType, bool Nondeterministic> class SparseInfiniteHorizonHelper;
/*!
* Helper class for model checking queries that depend on the long run behavior of the (nondeterministic) system.
*/
template <typename ValueType, storm::dd::DdType DdType, bool Nondeterministic>
class HybridInfiniteHorizonHelper : public SingleValueModelCheckerHelper<ValueType, DdType> {
public:
/*!
* Initializes the helper for a discrete time model (MDP or DTMC)
*/
HybridInfiniteHorizonHelper(storm::models::symbolic::Model<DdType, ValueType> const& model, storm::dd::Add<DdType, ValueType> const& transitionMatrix);
/*!
* Initializes the helper for a Markov Automaton
*/
HybridInfiniteHorizonHelper(storm::models::symbolic::Model<DdType, ValueType> const& model, storm::dd::Add<DdType, ValueType> const& transitionMatrix, storm::dd::Bdd<DdType> const& markovianStates, storm::dd::Add<DdType, ValueType> const& _exitRates);
/*!
* Initializes the helper for a CTMC
* @note The transition matrix must be probabilistic
*/
HybridInfiniteHorizonHelper(storm::models::symbolic::Model<DdType, ValueType> const& model, storm::dd::Add<DdType, ValueType> const& transitionMatrix, storm::dd::Add<DdType, ValueType> const& _exitRates);
/*!
* Computes the long run average probabilities, i.e., the fraction of the time we are in a psiState
* @return a value for each state
*/
std::unique_ptr<HybridQuantitativeCheckResult<DdType, ValueType>> computeLongRunAverageProbabilities(Environment const& env, storm::dd::Bdd<DdType> const& psiStates);
/*!
* Computes the long run average rewards, i.e., the average reward collected per time unit
* @return a value for each state
*/
std::unique_ptr<HybridQuantitativeCheckResult<DdType, ValueType>> computeLongRunAverageRewards(Environment const& env, storm::models::symbolic::StandardRewardModel<DdType, ValueType> const& rewardModel);
protected:
/*!
* @return true iff this is a computation on a continuous time model (i.e. MA)
*/
bool isContinuousTime() const;
/*!
* @return a sparse infinite horizon helper with the provided explicit model information.
* @param exitRates exit rates (ignored for discrete time models)
* @param markovianStates Markovian states or (ignored for non-MA)
*/
template <bool N = Nondeterministic, std::enable_if_t<N, int> = 0>
std::unique_ptr<SparseInfiniteHorizonHelper<ValueType, Nondeterministic>> createSparseHelper(storm::storage::SparseMatrix<ValueType> const& transitionMatrix, storm::storage::BitVector const& markovianStates, std::vector<ValueType> const& exitRates, storm::dd::Odd const& odd) const;
template <bool N = Nondeterministic, std::enable_if_t<!N, int> = 0>
std::unique_ptr<SparseInfiniteHorizonHelper<ValueType, Nondeterministic>> createSparseHelper(storm::storage::SparseMatrix<ValueType> const& transitionMatrix, storm::storage::BitVector const& markovianStates, std::vector<ValueType> const& exitRates, storm::dd::Odd const& odd) const;
private:
storm::models::symbolic::Model<DdType, ValueType> const& _model;
storm::dd::Add<DdType, ValueType> const& _transitionMatrix;
storm::dd::Bdd<DdType> const* _markovianStates;
storm::dd::Add<DdType, ValueType> const* _exitRates;
};
}
}
}

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src/storm/modelchecker/helper/infinitehorizon/HybridNondeterministicInfiniteHorizonHelper.cpp
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#include "HybridNondeterministicInfiniteHorizonHelper.h"
#include "storm/modelchecker/helper/infinitehorizon/SparseNondeterministicInfiniteHorizonHelper.h"
#include "storm/modelchecker/helper/utility/SetInformationFromOtherHelper.h"
#include "storm/storage/SparseMatrix.h"
#include "storm/utility/macros.h"
#include "storm/exceptions/NotSupportedException.h"
namespace storm {
namespace modelchecker {
namespace helper {
template <typename ValueType, storm::dd::DdType DdType>
HybridNondeterministicInfiniteHorizonHelper<ValueType, DdType>::HybridNondeterministicInfiniteHorizonHelper(storm::models::symbolic::NondeterministicModel<DdType, ValueType> const& model, storm::dd::Add<DdType, ValueType> const& transitionMatrix) : _model(model), _transitionMatrix(transitionMatrix), _markovianStates(nullptr), _exitRates(nullptr) {
// Intentionally left empty.
}
template <typename ValueType, storm::dd::DdType DdType>
HybridNondeterministicInfiniteHorizonHelper<ValueType, DdType>::HybridNondeterministicInfiniteHorizonHelper(storm::models::symbolic::NondeterministicModel<DdType, ValueType> const& model, storm::dd::Add<DdType, ValueType> const& transitionMatrix, storm::dd::Bdd<DdType> const& markovianStates, storm::dd::Add<DdType, ValueType> const& exitRateVector) : _model(model), _transitionMatrix(transitionMatrix), _markovianStates(&markovianStates), _exitRates(&exitRateVector) {
// Intentionally left empty.
}
template <typename ValueType, storm::dd::DdType DdType>
std::unique_ptr<HybridQuantitativeCheckResult<DdType, ValueType>> HybridNondeterministicInfiniteHorizonHelper<ValueType, DdType>::computeLongRunAverageProbabilities(Environment const& env, storm::dd::Bdd<DdType> const& psiStates) {
// Convert this query to an instance for the sparse engine.
// Create ODD for the translation.
storm::dd::Odd odd = _model.getReachableStates().createOdd();
storm::storage::SparseMatrix<ValueType> explicitTransitionMatrix = _transitionMatrix.toMatrix(_model.getNondeterminismVariables(), odd, odd);
std::unique_ptr<storm::modelchecker::helper::SparseNondeterministicInfiniteHorizonHelper<ValueType>> sparseHelper;
std::vector<ValueType> explicitExitRateVector;
storm::storage::BitVector explicitMarkovianStates;
if (isContinuousTime()) {
explicitExitRateVector = _exitRates->toVector(odd);
explicitMarkovianStates = _markovianStates->toVector(odd);
sparseHelper = std::make_unique<storm::modelchecker::helper::SparseNondeterministicInfiniteHorizonHelper<ValueType>>(explicitTransitionMatrix, explicitMarkovianStates, explicitExitRateVector);
} else {
sparseHelper = std::make_unique<storm::modelchecker::helper::SparseNondeterministicInfiniteHorizonHelper<ValueType>>(explicitTransitionMatrix);
}
storm::modelchecker::helper::setInformationFromOtherHelperNondeterministic(*sparseHelper, *this, [&odd](storm::dd::Bdd<DdType> const& s){ return s.toVector(odd); });
STORM_LOG_WARN_COND(!this->isProduceSchedulerSet(), "Scheduler extraction not supported in Hybrid engine.");
auto explicitResult = sparseHelper->computeLongRunAverageProbabilities(env, psiStates.toVector(odd));
return std::make_unique<HybridQuantitativeCheckResult<DdType, ValueType>>(_model.getReachableStates(), _model.getManager().getBddZero(), _model.getManager().template getAddZero<ValueType>(), _model.getReachableStates(), std::move(odd), std::move(explicitResult));
}
template <typename ValueType, storm::dd::DdType DdType>
std::unique_ptr<HybridQuantitativeCheckResult<DdType, ValueType>> HybridNondeterministicInfiniteHorizonHelper<ValueType, DdType>::computeLongRunAverageRewards(Environment const& env, storm::models::symbolic::StandardRewardModel<DdType, ValueType> const& rewardModel) {
// Convert this query to an instance for the sparse engine.
// Create ODD for the translation.
storm::dd::Odd odd = _model.getReachableStates().createOdd();
// Create matrix and reward vectors
storm::storage::SparseMatrix<ValueType> explicitTransitionMatrix;
std::vector<ValueType> explicitStateRewards, explicitActionRewards;
if (rewardModel.hasStateRewards()) {
explicitStateRewards = rewardModel.getStateRewardVector().toVector(odd);
}
if (rewardModel.hasStateActionRewards()) {
// Matrix and action-based vector have to be produced at the same time to guarantee the correct order
auto matrixRewards = _transitionMatrix.toMatrixVector(rewardModel.getStateActionRewardVector(), _model.getNondeterminismVariables(), odd, odd);
explicitTransitionMatrix = std::move(matrixRewards.first);
explicitActionRewards = std::move(matrixRewards.second);
} else {
// Translate matrix only
explicitTransitionMatrix = _transitionMatrix.toMatrix(_model.getNondeterminismVariables(), odd, odd);
}
STORM_LOG_THROW(!rewardModel.hasTransitionRewards(), storm::exceptions::NotSupportedException, "Transition rewards are not supported in this engine.");
// Create remaining components and helper
std::vector<ValueType> explicitExitRateVector;
storm::storage::BitVector explicitMarkovianStates;
std::unique_ptr<storm::modelchecker::helper::SparseNondeterministicInfiniteHorizonHelper<ValueType>> sparseHelper;
if (isContinuousTime()) {
explicitExitRateVector = _exitRates->toVector(odd);
explicitMarkovianStates = _markovianStates->toVector(odd);
sparseHelper = std::make_unique<storm::modelchecker::helper::SparseNondeterministicInfiniteHorizonHelper<ValueType>>(explicitTransitionMatrix, explicitMarkovianStates, explicitExitRateVector);
} else {
sparseHelper = std::make_unique<storm::modelchecker::helper::SparseNondeterministicInfiniteHorizonHelper<ValueType>>(explicitTransitionMatrix);
}
storm::modelchecker::helper::setInformationFromOtherHelperNondeterministic(*sparseHelper, *this, [&odd](storm::dd::Bdd<DdType> const& s){ return s.toVector(odd); });
STORM_LOG_WARN_COND(!this->isProduceSchedulerSet(), "Scheduler extraction not supported in Hybrid engine.");
auto explicitResult = sparseHelper->computeLongRunAverageValues(env, rewardModel.hasStateRewards() ? &explicitStateRewards : nullptr, rewardModel.hasStateActionRewards() ? &explicitActionRewards : nullptr);
return std::make_unique<HybridQuantitativeCheckResult<DdType, ValueType>>(_model.getReachableStates(), _model.getManager().getBddZero(), _model.getManager().template getAddZero<ValueType>(), _model.getReachableStates(), std::move(odd), std::move(explicitResult));
}
template <typename ValueType, storm::dd::DdType DdType>
bool HybridNondeterministicInfiniteHorizonHelper<ValueType, DdType>::isContinuousTime() const {
STORM_LOG_ASSERT((_markovianStates == nullptr) == (_exitRates == nullptr), "Inconsistent information given: Have Markovian states but no exit rates (or vice versa)." );
return _markovianStates != nullptr;
}
template class HybridNondeterministicInfiniteHorizonHelper<double, storm::dd::DdType::CUDD>;
template class HybridNondeterministicInfiniteHorizonHelper<double, storm::dd::DdType::Sylvan>;
template class HybridNondeterministicInfiniteHorizonHelper<storm::RationalNumber, storm::dd::DdType::Sylvan>;
}
}
}

64
src/storm/modelchecker/helper/infinitehorizon/HybridNondeterministicInfiniteHorizonHelper.h
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#pragma once
#include "storm/modelchecker/helper/SingleValueModelCheckerHelper.h"
#include "storm/modelchecker/results/HybridQuantitativeCheckResult.h"
#include "storm/models/symbolic/NondeterministicModel.h"
#include "storm/models/symbolic/StandardRewardModel.h"
#include "storm/storage/dd/DdManager.h"
#include "storm/storage/dd/Add.h"
#include "storm/storage/dd/Bdd.h"
namespace storm {
class Environment;
namespace modelchecker {
namespace helper {
/*!
* Helper class for model checking queries that depend on the long run behavior of the (nondeterministic) system.
*/
template <typename ValueType, storm::dd::DdType DdType>
class HybridNondeterministicInfiniteHorizonHelper : public SingleValueModelCheckerHelper<ValueType, DdType> {
public:
/*!
* Initializes the helper for a discrete time (i.e. MDP)
*/
HybridNondeterministicInfiniteHorizonHelper(storm::models::symbolic::NondeterministicModel<DdType, ValueType> const& model, storm::dd::Add<DdType, ValueType> const& transitionMatrix);
/*!
* Initializes the helper for a continuous time (i.e. MA)
*/
HybridNondeterministicInfiniteHorizonHelper(storm::models::symbolic::NondeterministicModel<DdType, ValueType> const& model, storm::dd::Add<DdType, ValueType> const& transitionMatrix, storm::dd::Bdd<DdType> const& markovianStates, storm::dd::Add<DdType, ValueType> const& _exitRates);
/*!
* Computes the long run average probabilities, i.e., the fraction of the time we are in a psiState
* @return a value for each state
*/
std::unique_ptr<HybridQuantitativeCheckResult<DdType, ValueType>> computeLongRunAverageProbabilities(Environment const& env, storm::dd::Bdd<DdType> const& psiStates);
/*!
* Computes the long run average rewards, i.e., the average reward collected per time unit
* @return a value for each state
*/
std::unique_ptr<HybridQuantitativeCheckResult<DdType, ValueType>> computeLongRunAverageRewards(Environment const& env, storm::models::symbolic::StandardRewardModel<DdType, ValueType> const& rewardModel);
protected:
/*!
* @return true iff this is a computation on a continuous time model (i.e. MA)
*/
bool isContinuousTime() const;
private:
storm::models::symbolic::NondeterministicModel<DdType, ValueType> const& _model;
storm::dd::Add<DdType, ValueType> const& _transitionMatrix;
storm::dd::Bdd<DdType> const* _markovianStates;
storm::dd::Add<DdType, ValueType> const* _exitRates;
};
}
}
}
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