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@ -22,7 +22,7 @@ namespace storm { |
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* For hybrid states (i.e., states with Markovian and probabilistic transitions), it is assumed that the first |
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* For hybrid states (i.e., states with Markovian and probabilistic transitions), it is assumed that the first |
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* choice corresponds to the markovian transitions. |
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* choice corresponds to the markovian transitions. |
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* |
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* |
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* @param transitionMatrix The matrix representing the transitions in the model in terms of rates (markocian choices) and probabilities (probabilistic choices). |
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* @param transitionMatrix The matrix representing the transitions in the model in terms of rates (Markovian choices) and probabilities (probabilistic choices). |
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* @param stateLabeling The labeling of the states. |
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* @param stateLabeling The labeling of the states. |
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* @param markovianStates A bit vector indicating the Markovian states of the automaton (i.e., states with at least one markovian transition). |
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* @param markovianStates A bit vector indicating the Markovian states of the automaton (i.e., states with at least one markovian transition). |
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* @param rewardModels A mapping of reward model names to reward models. |
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* @param rewardModels A mapping of reward model names to reward models. |
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@ -38,7 +38,7 @@ namespace storm { |
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* For hybrid states (i.e., states with Markovian and probabilistic transitions), it is assumed that the first |
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* For hybrid states (i.e., states with Markovian and probabilistic transitions), it is assumed that the first |
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* choice corresponds to the markovian transitions. |
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* choice corresponds to the markovian transitions. |
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* |
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* |
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* @param transitionMatrix The matrix representing the transitions in the model in terms of rates (markocian choices) and probabilities (probabilistic choices). |
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* @param transitionMatrix The matrix representing the transitions in the model in terms of rates (Markovian choices) and probabilities (probabilistic choices). |
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* @param stateLabeling The labeling of the states. |
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* @param stateLabeling The labeling of the states. |
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* @param markovianStates A bit vector indicating the Markovian states of the automaton (i.e., states with at least one markovian transition). |
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* @param markovianStates A bit vector indicating the Markovian states of the automaton (i.e., states with at least one markovian transition). |
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* @param rewardModels A mapping of reward model names to reward models. |
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* @param rewardModels A mapping of reward model names to reward models. |
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