Uses of Class
org.oristool.models.stpn.trees.StochasticTransitionFeature
Packages that use StochasticTransitionFeature
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Uses of StochasticTransitionFeature in org.oristool.models.stpn.trees
Methods in org.oristool.models.stpn.trees that return StochasticTransitionFeatureModifier and TypeMethodDescriptionstatic StochasticTransitionFeatureStochasticTransitionFeature.newDeterministicInstance(String value) Builds the stochastic feature of a transition with deterministic timer.static StochasticTransitionFeatureStochasticTransitionFeature.newDeterministicInstance(BigDecimal value) Builds the stochastic feature of a transition with deterministic timer.static StochasticTransitionFeatureStochasticTransitionFeature.newDeterministicInstance(BigDecimal value, MarkingExpr weight) Builds the stochastic feature of a transition with deterministic timer.static StochasticTransitionFeatureStochasticTransitionFeature.newDeterministicInstance(BigDecimal value, MarkingExpr weight, MarkingExpr clockRate) Builds the stochastic feature of a transition with deterministic timer.static StochasticTransitionFeatureStochasticTransitionFeature.newErlangInstance(int k, String rate) Builds the stochastic feature of a transition with Erlang distributed timer.static StochasticTransitionFeatureStochasticTransitionFeature.newErlangInstance(int k, BigDecimal rate) Builds the stochastic feature of a transition with Erlang distributed timer.static StochasticTransitionFeatureStochasticTransitionFeature.newErlangInstance(int k, BigDecimal rate, MarkingExpr clockRate, MarkingExpr weight) Builds the stochastic feature of a transition with Erlang distributed timer.static StochasticTransitionFeatureStochasticTransitionFeature.newExpolynomial(String density, OmegaBigDecimal eft, OmegaBigDecimal lft) Builds the stochastic feature of a transition where the timer distribution is an expolynomial.static StochasticTransitionFeatureStochasticTransitionFeature.newExponentialInstance(String expRate) Builds the stochastic feature of a transition with exponentially distributed timer.static StochasticTransitionFeatureStochasticTransitionFeature.newExponentialInstance(BigDecimal expRate) Builds the stochastic feature of a transition with exponentially distributed timer.static StochasticTransitionFeatureStochasticTransitionFeature.newExponentialInstance(BigDecimal expRate, MarkingExpr clockRate) Builds the stochastic feature of a transition with exponentially distributed timer and variable rate.static StochasticTransitionFeatureStochasticTransitionFeature.newExponentialInstance(BigDecimal expRate, MarkingExpr clockRate, MarkingExpr weight) Builds the stochastic feature of a transition with exponentially distributed timer and variable rate.static StochasticTransitionFeatureStochasticTransitionFeature.newHyperExp(List<BigDecimal> probs, List<BigDecimal> rates) Builds the stochastic feature of a transition where the timer distribution is hyper-exponential (mixture of exponentials).static StochasticTransitionFeatureStochasticTransitionFeature.newHypoExp(BigDecimal rate1, BigDecimal rate2) Builds the stochastic feature of a transition where the timer distribution is hypo-exponential (sum of exponentials).static StochasticTransitionFeatureStochasticTransitionFeature.newShiftedExp(BigDecimal shift, BigDecimal rate) Builds the stochastic feature of a transition where the timer distribution is a shifted exponential.static StochasticTransitionFeatureStochasticTransitionFeature.newUniformInstance(String eft, String lft) Builds the stochastic feature of a transition with uniformly distributed timer.static StochasticTransitionFeatureStochasticTransitionFeature.newUniformInstance(BigDecimal eft, BigDecimal lft) Builds the stochastic feature of a transition with uniformly distributed timer.static StochasticTransitionFeatureStochasticTransitionFeature.newUniformInstance(BigDecimal eft, BigDecimal lft, MarkingExpr clockRate) Builds the stochastic feature of a transition with uniformly distributed timer.static StochasticTransitionFeatureStochasticTransitionFeature.of(PartitionedFunction density) static StochasticTransitionFeatureStochasticTransitionFeature.of(PartitionedFunction density, MarkingExpr weight, MarkingExpr rate)