1#ifndef STORM_MODELS_SPARSE_DTMC_H_
2#define STORM_MODELS_SPARSE_DTMC_H_
13template<
class ValueType,
typename RewardModelType = StandardRewardModel<ValueType>>
24 std::unordered_map<std::string, RewardModelType>
const& rewardModels = std::unordered_map<std::string, RewardModelType>());
34 std::unordered_map<std::string, RewardModelType>&& rewardModels = std::unordered_map<std::string, RewardModelType>());
The base class of all sparse deterministic models.
This class represents a discrete-time Markov chain.
Dtmc & operator=(Dtmc< ValueType, RewardModelType > const &dtmc)=default
Dtmc(Dtmc< ValueType, RewardModelType > &&dtmc)=default
virtual void reduceToStateBasedRewards() override
Converts the transition rewards of all reward models to state-based rewards.
Dtmc(Dtmc< ValueType, RewardModelType > const &dtmc)=default
Dtmc & operator=(Dtmc< ValueType, RewardModelType > &&dtmc)=default
This class manages the labeling of the state space with a number of (atomic) labels.
A class that holds a possibly non-square matrix in the compressed row storage format.