All Classes and Interfaces

Class	Description
AbstractDevsModel<T extends Number & Comparable<T>>	AbstractDevsModel class.
AbstractDevsModel.StateUpdate	StateUpdate class.
AbstractDevsPortModel<T extends Number & Comparable<T>>	AbstractDevsPortModel class.
AbstractDsolModel<T extends Number & Comparable<T>,S extends SimulatorInterface<T>>	AbstractDsolModel, an abstract helper class to easily construct a DsolModel.
AbstractEmpiricalDistribution	The AbstractEmpiricalDistribution implements the logic for a cumulative distribution function for an empirical distribution.
AbstractEntity<T extends Number & Comparable<T>>	AbstractEntity class.
AbstractInputParameter<VT,CT>	Abstract input parameter.
AbstractInputParameterMap<CT>	The InputParameterMap contains a number of InputParameters, each of which can also be an InputParameterMap again.
AbstractInputParameterTypedMap<T>	The InputParameterTypedMap is a hierarchical input parameter that can return a variable of a certain type.
AbstractSimEvent<T extends Number & Comparable<T>>	The AbstractSimEvent forms the basement for SimEvents and defines a compare method by which eventLists can compare priority of the event.
Adams	The Adams-Bashforth-Moulton numerical estimator as described in https://mathworld.wolfram.com/AdamsMethod.html
AnimatorInterface	The AnimatorInterface defines the methods for a DEVSDESS simulator with wallclock delay between the consecutive time steps.
AnimatorInterface.AnimationThread	The separate thread that takes care of the animation.
AtomicModel<T extends Number & Comparable<T>>	AtomicModel class.
CachingNumericalIntegrator	The CachingNumericalIntegrator is the basis for an integrator that needs access to previously calculated values of y', e.g.
CounterTableModel	CounterTableModel maintains a table with all statistics data from the SimCounter.
CoupledModel<T extends Number & Comparable<T>>	CoupledModel class.
Create<T extends Number & Comparable<T>>	The Create flow object generates entities with a certain inter-arrival time.
CumulativeProbabilities	CumulativeProbabilities is a helper class to instantiate interpolated and non-interpolated distributions based on a given array or list of values and corresponding cumulative probabilities.
DefaultSimTimeFormatter	DefaultSimTimeFormatter of which the format(String) method can be overridden.
Delay<T extends Number & Comparable<T>>	The Delay object is a flow object that delays an entity for a given time.
DessSimulator<T extends Number & Comparable<T>>	The DESS defines the interface of the DESS simulator.
DessSimulatorInterface<T extends Number & Comparable<T>>	The DessSimulatorInterface defines the methods for a DESS simulator.
Destroy<T extends Number & Comparable<T>>	The Destroy flow block where entities will be destroyed from the model.
DevDessAnimator<T extends Number & Comparable<T>>	The reference implementation of the animator.
DevDessSimulator<T extends Number & Comparable<T>>	The reference implementation of the DEVDESS simulator.
DevsAnimator<T extends Number & Comparable<T>>	The reference implementation of the animator.
DevsRealTimeAnimator<T extends Number & Comparable<T>>	The reference implementation of the realTimeClock.
DevsRealTimeAnimator.TimeDouble	Easy access class RealTimeClock<Double>.
DevsRealTimeAnimator.TimeDoubleUnit	Easy access class RealTimeClock<Duration>.
DevsRealTimeAnimator.TimeFloat	Easy access class RealTimeClock<Float>.
DevsRealTimeAnimator.TimeFloatUnit	Easy access class RealTimeClock<FloatDuration>.
DevsRealTimeAnimator.TimeLong	Easy access class RealTimeClock<Long>.
DevsSimulator<T extends Number & Comparable<T>>	The DEVS defines the interface of the DEVS simulator.
DevsSimulatorInterface<T extends Number & Comparable<T>>	The DEVS defines the interface of the DEVS simulator.
DifferentialEquation<T extends Number & Comparable<T>>	The Differential equation provides a reference implementation of the differential equation.
DifferentialEquation	The DifferentialEquation is the abstract basis for the DESS formalism.
DifferentialEquationInterface	An interface for the DifferentialEquation.
DiscreteEmpiricalDistribution	The DiscreteEmpiricalDistribution implements the logic for a cumulative distribution function for an empirical distribution, where no interpolation between the given values takes place.
Dist	The Distribution class forms the basis for all statistical distributions.
DistBernoulli	The Bernoulli distribution, with p as the probability for success.
DistBeta	The Beta distribution.
DistBinomial	The Binomial distribution.
DistConstant	The Constant distribution.
DistContinuous	The Continuous distribution.
DistContinuousAbsoluteTemperature	DistContinuousAbsoluteTemperature is class defining a distribution for a AbsoluteTemperature scalar.
DistContinuousAbsorbedDose	DistContinuousAbsorbedDose is class defining a distribution for a AbsorbedDose scalar.
DistContinuousAcceleration	DistContinuousAcceleration is class defining a distribution for a Acceleration scalar.
DistContinuousAmountOfSubstance	DistContinuousAmountOfSubstance is class defining a distribution for a AmountOfSubstance scalar.
DistContinuousAngle	DistContinuousAngle is class defining a distribution for a Angle scalar.
DistContinuousArea	DistContinuousArea is class defining a distribution for a Area scalar.
DistContinuousCatalyticActivity	DistContinuousCatalyticActivity is class defining a distribution for a CatalyticActivity scalar.
DistContinuousDensity	DistContinuousDensity is class defining a distribution for a Density scalar.
DistContinuousDimensionless	DistContinuousDimensionless is class defining a distribution for a Dimensionless scalar.
DistContinuousDirection	DistContinuousDirection is class defining a distribution for a Direction scalar.
DistContinuousDuration	DistContinuousDuration is class defining a distribution for a Duration scalar.
DistContinuousElectricalCapacitance	DistContinuousElectricalCapacitance is class defining a distribution for a ElectricalCapacitance scalar.
DistContinuousElectricalCharge	DistContinuousElectricalCharge is class defining a distribution for a ElectricalCharge scalar.
DistContinuousElectricalConductance	DistContinuousElectricalConductance is class defining a distribution for a ElectricalConductance scalar.
DistContinuousElectricalCurrent	DistContinuousElectricalCurrent is class defining a distribution for a ElectricalCurrent scalar.
DistContinuousElectricalInductance	DistContinuousElectricalInductance is class defining a distribution for a ElectricalInductance scalar.
DistContinuousElectricalPotential	DistContinuousElectricalPotential is class defining a distribution for a ElectricalPotential scalar.
DistContinuousElectricalResistance	DistContinuousElectricalResistance is class defining a distribution for a ElectricalResistance scalar.
DistContinuousEnergy	DistContinuousEnergy is class defining a distribution for a Energy scalar.
DistContinuousEquivalentDose	DistContinuousEquivalentDose is class defining a distribution for a EquivalentDose scalar.
DistContinuousFlowMass	DistContinuousFlowMass is class defining a distribution for a FlowMass scalar.
DistContinuousFlowVolume	DistContinuousFlowVolume is class defining a distribution for a FlowVolume scalar.
DistContinuousForce	DistContinuousForce is class defining a distribution for a Force scalar.
DistContinuousFrequency	DistContinuousFrequency is class defining a distribution for a Frequency scalar.
DistContinuousIlluminance	DistContinuousIlluminance is class defining a distribution for a Illuminance scalar.
DistContinuousLength	DistContinuousLength is class defining a distribution for a Length scalar.
DistContinuousLinearDensity	DistContinuousLinearDensity is class defining a distribution for a LinearDensity scalar.
DistContinuousLuminousFlux	DistContinuousLuminousFlux is class defining a distribution for a LuminousFlux scalar.
DistContinuousLuminousIntensity	DistContinuousLuminousIntensity is class defining a distribution for a LuminousIntensity scalar.
DistContinuousMagneticFlux	DistContinuousMagneticFlux is class defining a distribution for a MagneticFlux scalar.
DistContinuousMagneticFluxDensity	DistContinuousMagneticFluxDensity is class defining a distribution for a MagneticFluxDensity scalar.
DistContinuousMass	DistContinuousMass is class defining a distribution for a Mass scalar.
DistContinuousPosition	DistContinuousPosition is class defining a distribution for a Position scalar.
DistContinuousPower	DistContinuousPower is class defining a distribution for a Power scalar.
DistContinuousPressure	DistContinuousPressure is class defining a distribution for a Pressure scalar.
DistContinuousRadioActivity	DistContinuousRadioActivity is class defining a distribution for a RadioActivity scalar.
DistContinuousSimulationTime<T extends Number & Comparable<T>>	Definitions of distributions over relative time.
DistContinuousSimulationTime.TimeDouble	Easy access class DistContinuousTime.Double.
DistContinuousSimulationTime.TimeDoubleUnit	Easy access class DistContinuousTime.DoubleUnit.
DistContinuousSimulationTime.TimeFloat	Easy access class DistContinuousTime.Float.
DistContinuousSimulationTime.TimeFloatUnit	Easy access class DistContinuousTime.FloatUnit.
DistContinuousSimulationTime.TimeLong	Easy access class DistContinuousTime.Long.
DistContinuousSolidAngle	DistContinuousSolidAngle is class defining a distribution for a SolidAngle scalar.
DistContinuousSpeed	DistContinuousSpeed is class defining a distribution for a Speed scalar.
DistContinuousTemperature	DistContinuousTemperature is class defining a distribution for a Temperature scalar.
DistContinuousTime	DistContinuousTime is class defining a distribution for a Time scalar.
DistContinuousTorque	DistContinuousTorque is class defining a distribution for a Torque scalar.
DistContinuousUnit<U extends Unit<U>,S extends DoubleScalar<U,S>>	DistContinuousUnit is the abstract class defining a distribution for a scalar with a unit.
DistContinuousVolume	DistContinuousVolume is class defining a distribution for a Volume scalar.
DistDiscrete	The discrete distribution.
DistDiscreteConstant	The Constant distribution.
DistDiscreteUniform	The discrete Uniform distribution.
DistEmpiricalDiscreteDouble	The empirical distribution is a distribution where the information is stored in an EmpiricalDistribution, consisting of pairs of values and cumulative probabilities.
DistEmpiricalDiscreteLong	A discrete empirical distribution as defined on page 326 of Law & Kelton, based on an EmpiricalDistribution object.
DistEmpiricalInterpolated	The empirical distribution is a distribution where the information is stored in an EmpiricalDistribution, consisting of pairs of values and cumulative probabilities.
DistErlang	The Erlang distribution.
DistExponential	The Exponential distribution.
DistGamma	The Gamma distribution.
DistGeometric	The Geometric distribution.
DistLogNormal	The LogNormal distribution.
DistLogNormalTrunc	The Truncated Lognormal distribution.
DistNegBinomial	The Negative Binomial distribution.
DistNormal	The Normal distribution.
DistNormalTrunc	The Normal Truncated distribution.
DistPearson5	The Pearson5 distribution with a shape parameter α and a scale parameter β.
DistPearson6	The Pearson6 distribution.
DistPoisson	The Poisson distribution.
DistributionEntry	The Entry contains an actual cumulative probability - value pair.
DistributionFrequencies	DistributionFrequencies is a helper class to instantiate interpolated and non-interpolated distributions based on a given array or list of values and corresponding frequencies (integer valued) or weights (real valued).
DistTriangular	The Triangular distribution.
DistUniform	The Uniform distribution.
DistWeibull	The Weibull distribution with a shape parameter α and a scale parameter β.
DoubleCompare	DoubleCompare class.
DsolModel<T extends Number & Comparable<T>,S extends SimulatorInterface<T>>	The model interface defines the model object.
Duplicate<T extends Number & Comparable<T>>	The Duplicate flow block makes a number of copies of incoming entities and sends them to a destination.
DX120Generator	The DX-120-4 pseudo random number generator.
Editable	An Editable object is a simulation object that can be edited by the user.
EmpiricalDistributionInterface	The EmpiricalDistributionInterface describes a cumulative distribution function for an empirical distribution.
Entity<T extends Number & Comparable<T>>	Entity is a generic object that can flow through the model.
ErrorStrategy	ErrorStrategy indicates what to do when there is an error in the execution of the simulation.
Euler	The Euler numerical estimator as described in https://mathworld.wolfram.com/EulerForwardMethod.html
EventListInterface<T extends Number & Comparable<T>>	The EventListInterface defines the required methods for discrete event lists.
EventListPriorityQueue<T extends Number & Comparable<T>>	A RedBlackTree implementation of the eventlistInterface.
Executable	Executable lambda function for event scheduling.
Experiment<T extends Number & Comparable<T>,S extends SimulatorInterface<T>>	The Experiment specifies the parameters for a number of simulation replications, and can execute a series of replications.
Experiment.ExperimentThread	The ExperimentRunner job.
ExperimentReplication<T extends Number & Comparable<T>,S extends SimulatorInterface<T>>	A single replication belonging to an Experiment.
ExperimentRunControl<T extends Number & Comparable<T>>	ExperimentRunControl.java.
ExternalInputCoupling<T extends Number & Comparable<T>,P>	EIC class.
ExternalOutputCoupling<T extends Number & Comparable<T>,P>	EOC class.
FlowObject<T extends Number & Comparable<T>>	A FlowObject that can receive and/or release Entity objects.
Gill	The Gill numerical estimator as described in https://mathworld.wolfram.com/GillsMethod.html
Heun	The Heun numerical estimator.
InputParameter<VT,CT>	User readable and settable properties.
InputParameterBoolean	InputParameterBoolean.java.
InputParameterDistContinuous	InputParameterDistContinuous provides a choice for a continuous distribution. Copyright (c) 2003-2024 Delft University of Technology, Jaffalaan 5, 2628 BX Delft, the Netherlands.
InputParameterDistContinuousSelection	InputParameterDistContinuousSelection takes care of exposing the necessary parameters for each of the continuous distribution functions.
InputParameterDistContinuousSelection.Beta	InputParameterDistContinuous.Beta class.
InputParameterDistContinuousSelection.Constant	InputParameterDistContinuous.Constant class.
InputParameterDistContinuousSelection.Erlang	InputParameterDistContinuous.Erlang class.
InputParameterDistContinuousSelection.Exponential	InputParameterDistContinuous.Exponential class.
InputParameterDistContinuousSelection.Gamma	InputParameterDistContinuous.Gamma class.
InputParameterDistContinuousSelection.LogNormal	InputParameterDistContinuous.LogNormal class.
InputParameterDistContinuousSelection.Normal	InputParameterDistContinuous.Normal class.
InputParameterDistContinuousSelection.Pearson5	InputParameterDistContinuous.Pearson5 class.
InputParameterDistContinuousSelection.Pearson6	InputParameterDistContinuous.Pearson6 class.
InputParameterDistContinuousSelection.Triangular	InputParameterDistContinuous.Triangular class.
InputParameterDistContinuousSelection.Uniform	InputParameterDistContinuous.Uniform class.
InputParameterDistContinuousSelection.Weibull	InputParameterDistContinuous.Weibull class.
InputParameterDistDiscrete	InputParameterDistDiscrete provides a choice for a discrete distribution. Copyright (c) 2003-2024 Delft University of Technology, Jaffalaan 5, 2628 BX Delft, the Netherlands.
InputParameterDistDiscreteSelection	InputParameterDistDiscreteSelection takes care of exposing the necessary parameters for each of the discrete distribution functions.
InputParameterDistDiscreteSelection.Bernoulli	InputParameterDistDiscrete.Bernoulli class.
InputParameterDistDiscreteSelection.Binomial	InputParameterDistDiscrete.Binomial class.
InputParameterDistDiscreteSelection.DiscreteConstant	InputParameterDistDiscrete.DiscreteConstant class.
InputParameterDistDiscreteSelection.DiscreteUniform	InputParameterDistDiscrete.DiscreteUniform class.
InputParameterDistDiscreteSelection.Geometric	InputParameterDistDiscrete.Geometric class.
InputParameterDistDiscreteSelection.NegBinomial	InputParameterDistDiscrete.NegBinomial class.
InputParameterDistDiscreteSelection.Poisson	InputParameterDistDiscrete.Poisson class.
InputParameterDouble	InputParameterDouble.java.
InputParameterDoubleScalar<U extends Unit<U>,T extends DoubleScalar<U,T>>	InputParameterDoubleScalar: double parameter with a unit.
InputParameterException	Exception thrown when an operation is attempted that is not compatible with the indicated input parameter.
InputParameterFloat	InputParameterFloat.java.
InputParameterFloatScalar<U extends Unit<U>,T extends FloatScalar<U,T>>	InputParameterFloatScalar: float parameter with a unit.
InputParameterInteger	InputParameterInteger.java.
InputParameterLong	InputParameterLong.java.
InputParameterMap	The InputParameterMap contains a number of InputParameters, each of which can also be an InputParameterMap again.
InputParameterMapDistContinuous	InputParameterMapDistContinuous is a InputParameterMap with a stream, a getDist() and a setDist() method.
InputParameterMapDistDiscrete	InputParameterMapDistDiscrete is a InputParameterMap with a stream, a getDist() and a setDist() method.
InputParameterSelectionList<T>	InputParameterSelectionList contains a list of values to select from.
InputParameterSelectionMap<K,T>	InputParameterSelectionMap contains a list of key values to select from, each leading to another value to be selected as the value.
InputParameterString	InputParameterBoolean.java.
InputParameterUnit<U extends Unit<U>>	InputParameterUnit: parameter to select a unit.
InputPort<T extends Number & Comparable<T>,TYPE>	InputPort class.
InputPortInterface<T extends Number & Comparable<T>,TYPE>	InputPortInterface class.
InternalCoupling<T extends Number & Comparable<T>,P>	IC class.
InterpolatedEmpiricalDistribution	The InterpolatedEmpiricalDistribution implements the logic for a cumulative distribution function for an empirical distribution, where the values will be interpolated between the values.
Java2Random	The Java2Random is an extension of the java.util.Random class which implements the StreamInterface.
LambdaSimEvent<T extends Number & Comparable<T>>	The SimEvent forms the essential scheduling mechanism for D-SOL.
MaxDiffFilter	The MaxDiffFilter accepts entries if their value is larger than the percentage of the last received Value.
MersenneTwister	A java implementation of the Mersenne Twister pseudo random number generator.
Milne	The Milne numerical estimator as described in https://mathworld.wolfram.com/MilnesMethod.html
NumericalIntegrator	Provides basic methods for all numerical integration methods.
NumericalIntegratorType	NumericalIntegratorType is an enum with the currently implemented integrators.
Observations	Observations is a helper class to instantiate non-interpolated distributions based on a list or array of observations, from which a distribution is generated.
OutputPort<T extends Number & Comparable<T>,TYPE>	OutputPort class.
OutputPortInterface<T extends Number & Comparable<T>,TYPE>	OutputPortInterface class.
PersistentTableModel	PersistentTableModel maintains a table with all statistics data from the SimPersistent.
Phase	Phase class.
PortAlreadyDefinedException	PortAlreadyDefinedException class.
PortNotFoundException	PortAlreadyDefinedException class.
ProbabilityDensities	ProbabilityDensities is a helper class to instantiate interpolated and non-interpolated distributions based on a given array or list of values and corresponding probability densities.
ProbMath	The ProbMath class defines some very basic probabilistic mathematical functions.
RandomNumberGenerator	The RandomNumberGenerator class provides an abstract basis for all pseudo random number generators.
ReadInputParameters	Read InputParameters from a Properties file or from an array of Strings.
RedBlackTree<T extends Number & Comparable<T>>	A RedBlackTree implementation of the eventlistInterface.
Release<T extends Number & Comparable<T>>	The Release flow object releases a given quantity of a claimed resource.
Replication<T extends Number & Comparable<T>>	The base class for a single replication of an Experiment.
ReplicationState	ReplicationState indicates the precise state of the replication that is being executed by the Simulator.
Resource<T extends Number & Comparable<T>>	A resource defines a shared and limited amount.
Resource.Request<T extends Number & Comparable<T>>	A Request.
Resource.RequestComparator<T extends Number & Comparable<T>>	the RequestComparator.
ResourceRequestorInterface<T extends Number & Comparable<T>>	This interface provides a callback method to the resource.
RunControl<T extends Number & Comparable<T>>	RunControl is a data object that contains off-line run control information.
RungeKutta3	The RungeKutta 3 numerical integrator.
RungeKutta4	The RungeKutta4 numerical integrator.
RungeKuttaCashCarp	The RungeKuttaCashCarp.java numerical integrator.
RungeKuttaFehlberg	The RungeKuttaFehlberg.java numerical integrator.
RunState	RunState indicates the precise state of the Simulator.
Seize<T extends Number & Comparable<T>>	The Seize flow block requests a resource and keeps the entity within the flow block's queue until the resource is actually claimed.
Seize.Request<T extends Number & Comparable<T>>	The Request Class defines the requests for resource.
SimCounter<T extends Number & Comparable<T>>	The time-aware counter extends the djutils event-based counter and links it to the dsol framework.
SimEvent<T extends Number & Comparable<T>>	The SimEvent forms the essential scheduling mechanism for D-SOL.
SimEventInterface<T extends Number & Comparable<T>>	A SimEvent embodies the envelope in which the scheduled method invocation information is stored.
SimLogger	SimLogger implements a logger with functionality of the CategoryLogger, but the logger is simulator-aware and can print the simulator time as part of the log message.
SimLogger.DelegateSimLogger	DelegateSimLogger class that takes care of actually logging the message and/or exception.
SimPersistent<T extends Number & Comparable<T>>	The time-aware Persistent extends the djutils event-based timestamp-weighed tally and links it to the dsol framework.
SimpleStreamUpdater	SimpleStreamUpdater updates the streams based on the hashCode of the name of the stream and the replication number.
SimRenderable2d<L extends Locatable>	SimRenderable2D binds the animation objects to the context in simulator.getReplication().
SimRuntimeException	This class defines SimRuntimeException.
SimTally<T extends Number & Comparable<T>>	The simulator aware Tally extends the djutils event-based tally and links it to the dsol framework.
SimTime	SimTime contains a number of static methods to deal with adding and substracting simulation times.
SimTimeFormatter	SimTimeFormatter formats the message to include the simulation time.
SimulationStatistic<T extends Number & Comparable<T>>	SimulationStatistic is an interface for the DSOL statistics objects.
Simulator<T extends Number & Comparable<T>>	The Simulator class is an abstract implementation of the SimulatorInterface.
Simulator.SimulatorWorkerThread	The worker thread to execute the run() method of the Simulator and to start/stop the simulation.
SimulatorInterface<T extends Number & Comparable<T>>	The SimulatorInterface defines the behavior of the simulators in the DSOL framework.
SingleReplication<T extends Number & Comparable<T>>	A single replication that is executed outside of an Experiment.
SnippetFilter	The snippet filter only accepts one entry per snippet value.
StateVariableNotFoundException	State variable that has been requested cannot be found.
StatisticsTableModel	The StatisticsTableModel class defines the tableModel used to represent statistics objects as a table, e.g., on the screen or on a web page.
StreamException	Exception for the Random Number Generators.
StreamInformation	StreamInformation contains information about Random Streams that exists before the model has been constructed.
StreamInterface	The StreamInterface defines the streams to be used within the JSTATS package.
StreamSeedInformation	StreamSeedInformation stores information about the streams, but also about the way the seeds have to be updated for each replication.
StreamSeedUpdater	StreamSeedUpdater updates the streams based on a stored map of replication numbers to seed numbers.
StreamUpdater	The StreamUpdater interface describes how to update the seed values for the next replication.
TableModelEventList<T extends Number & Comparable<T>>	A TableModel implementation of an eventlist is an extionsion of the eventlist which upholds its own TableModel.
TallyTableModel	TallyTableModel maintains a table with all statistics data from the SimTally.
Treatment<T extends Number & Comparable<T>>	The Treatment is the interface that indicates that you can retrieve the simulation start time, end time, and warmup period, as well as an id and description of the simulation run or replication.
Utilization<T extends Number & Comparable<T>>	A Utilization statistic for the flow components.