All Classes

Class	Description
AcceptingPetriNet2StochasticLabelledPetriNetAdjustmentWeights	Converts the Petri net into a stochastic labelled Petri net, but doesn't put any weights.
Alternatives
Alternatives.OptionsIterator
Alternatives.Suitability
ChoiceData
ChoiceData.ChoiceIterator	next() returns the next history.
ChoiceData2Functions	Parameters: 0..n-1 base weight per transition n..2n-1 adjustment weights for transition 0 2n..3n-1 adjustment weights for transition 1 ...
ChoiceDataImpl
ComputeChoiceData
Constant
Division
Equation
FixedMultiset
FixParameters
FixParametersAlwaysOnce
FixParametersArbitraryFromGroup
FixParametersEquivalentTransitions
FixParametersNeverInHistory
FixParametersNoLongDistanceDependencies
FixParametersSequentialXor
Function	Works on an array of double, which are the parameters.
FunctionFactory
FunctionFactoryImpl
FunctionFactoryNonReducing
Groups
InitialiseWithFrequencies
LongDistanceDependenciesParameters
LongDistanceDependenciesParametersAbstract
LongDistanceDependenciesParametersDefault
LongDistanceDependenciesParametersWrapper
LongDistancePlugin
LongDistancePlugin.FakeContext
MandatoryAndExclusive
MineLongDistanceDependenciesPlugin
MiningDialog
Product
Solver
StatisticalTests
StochasticLabelledPetriNetAdjustmentWeights
StochasticLabelledPetriNetAdjustmentWeightsEditable
StochasticLabelledPetriNetAdjustmentWeightsExportPlugin
StochasticLabelledPetriNetAdjustmentWeightsImpl
StochasticLabelledPetriNetAdjustmentWeightsImportPlugin
StochasticLabelledPetriNetAdjustmentWeightsVisualisationPlugin
StochasticLabelledPetriNetAdjustmentWeightsVisualisationPluginBlack
StochasticLabelledPetriNetSemanticsAdjustmentWeightsImpl
Sum
TestModel
Variable
VariablePower