Index

A B C D E F G H I J L M N O P R S T U V W Y Z
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form

A

a - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaCashCarp

the parameters for a_i, in f(x_n + a_i h, .).

a - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaFehlberg

the parameters for a_i, in f(x_n + a_i h, .).

absoluteExecutionTime - Variable in class nl.tudelft.simulation.dsol.formalisms.eventscheduling.AbstractSimEvent

absoluteExecutionTime reflects the time at which the event is scheduled.

AbstractDsolModel<T extends Number & Comparable<T>,S extends SimulatorInterface<T>> - Class in nl.tudelft.simulation.dsol.model

AbstractDsolModel, an abstract helper class to easily construct a DsolModel.

AbstractDsolModel(S) - Constructor for class nl.tudelft.simulation.dsol.model.AbstractDsolModel

Construct a DSOL model and set the simulator.

AbstractDsolModel(S, StreamInformation) - Constructor for class nl.tudelft.simulation.dsol.model.AbstractDsolModel

Construct a DSOL model and set the simulator as well as the initial streams, so they can be used in the constructor of the model.

AbstractEmpiricalDistribution - Class in nl.tudelft.simulation.jstats.distributions.empirical

The AbstractEmpiricalDistribution implements the logic for a cumulative distribution function for an empirical distribution.

AbstractEmpiricalDistribution(Number[], double[]) - Constructor for class nl.tudelft.simulation.jstats.distributions.empirical.AbstractEmpiricalDistribution

Construct the empirical distribution based on two arrays of the same length, one with sorted values, and one with corresponding sorted cumulative probabilities.

AbstractInputParameter<VT,CT> - Class in nl.tudelft.simulation.dsol.model.inputparameters

Abstract input parameter.

AbstractInputParameter(String, String, String, VT, double) - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.AbstractInputParameter

Construct a new AbstractInputParameter.

AbstractInputParameterMap<CT> - Class in nl.tudelft.simulation.dsol.model.inputparameters

The InputParameterMap contains a number of InputParameters, each of which can also be an InputParameterMap again.

AbstractInputParameterMap(String, String, String, double) - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.AbstractInputParameterMap

Construct a new AbstractInputParameterMap.

AbstractInputParameterMap.InputParameterComparator - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterComparator provides the comparator based on the displayPriority of the entries.

AbstractInputParameterTypedMap<T> - Class in nl.tudelft.simulation.dsol.model.inputparameters

The InputParameterTypedMap is a hierarchical input parameter that can return a variable of a certain type.

AbstractInputParameterTypedMap(String, String, String, T, double) - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.AbstractInputParameterTypedMap

Construct a new InputParameterTypedMap.

AbstractSimEvent<T extends Number & Comparable<T>> - Class in nl.tudelft.simulation.dsol.formalisms.eventscheduling

The AbstractSimEvent forms the basement for SimEvents and defines a compare method by which eventLists can compare priority of the event.

AbstractSimEvent(T) - Constructor for class nl.tudelft.simulation.dsol.formalisms.eventscheduling.AbstractSimEvent

The constructor of the event stores the time the event must be executed and the object and method to invoke.

AbstractSimEvent(T, short) - Constructor for class nl.tudelft.simulation.dsol.formalisms.eventscheduling.AbstractSimEvent

The constructor of the event stores the time the event must be executed and the object and method to invoke.

Adams - Class in nl.tudelft.simulation.jstats.ode.integrators

The Adams-Bashforth-Moulton numerical estimator as described in https://mathworld.wolfram.com/AdamsMethod.html

Adams(double, DifferentialEquationInterface) - Constructor for class nl.tudelft.simulation.jstats.ode.integrators.Adams

constructs a new Adams integrator.

Adams(double, DifferentialEquationInterface, NumericalIntegratorType, int) - Constructor for class nl.tudelft.simulation.jstats.ode.integrators.Adams

constructs a new Adams integrator, indicating the starting method and number of substeps.

ADAMS - Enum constant in enum class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegratorType

Adam's integration.

add(double[], double[]) - Method in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator

adds two vectors.

add(double[], double[], double[]) - Method in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator

adds a number of vectors.

add(double[], double[], double[], double[]) - Method in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator

adds a number of vectors.

add(double[], double[], double[], double[], double[]) - Method in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator

adds a number of vectors.

add(double[], double[], double[], double[], double[], double[]) - Method in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator

adds a number of vectors.

add(SimEventInterface<T>) - Method in interface nl.tudelft.simulation.dsol.eventlists.EventListInterface

Add an event to the event list.

add(SimEventInterface<T>) - Method in class nl.tudelft.simulation.dsol.eventlists.EventListPriorityQueue

add(SimEventInterface<T>) - Method in class nl.tudelft.simulation.dsol.eventlists.RedBlackTree

add(AbstractInputParameter<?, ?>) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.AbstractInputParameterMap

Add an input parameter to this map of input parameters.

addAll(Collection<? extends SimEventInterface<T>>) - Method in class nl.tudelft.simulation.dsol.eventlists.TableModelEventList

Add all events in the collection to the ventlist.

addInputParameter(AbstractInputParameter<?, ?>) - Method in class nl.tudelft.simulation.dsol.model.AbstractDsolModel

Add an input parameter to the list of input parameters.

addScheduledMethodOnInitialize(Object, Object, String, Object[]) - Method in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

Deprecated.

addScheduledMethodOnInitialize(Object, String, Object[]) - Method in class nl.tudelft.simulation.dsol.simulators.Simulator

addScheduledMethodOnInitialize(Object, String, Object[]) - Method in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

Add a method call that has to be performed at the end if initialize, and before the model starts.

addStream(String, StreamInterface) - Method in class nl.tudelft.simulation.dsol.experiment.StreamInformation

Add a new stream, based on a stream id, possibly overwriting a previous existing stream with the same name.

addSummaryStatistic(String, String, double) - Method in class nl.tudelft.simulation.dsol.experiment.Experiment

Tally a value in a summary statistic over multiple replications.

ANIMATION_DELAY_CHANGED_EVENT - Static variable in interface nl.tudelft.simulation.dsol.simulators.AnimatorInterface

ANIMATION_DELAY_CHANGED_EVENT is fired when the time step is set.

animationDelay - Variable in class nl.tudelft.simulation.dsol.simulators.DevDessAnimator

AnimationDelay refers to the delay in milliseconds between timeSteps.

AnimationThread(AnimatorInterface) - Constructor for class nl.tudelft.simulation.dsol.simulators.AnimatorInterface.AnimationThread

AnimatorInterface - Interface in nl.tudelft.simulation.dsol.simulators

The AnimatorInterface defines the methods for a DEVSDESS simulator with wallclock delay between the consecutive time steps.

AnimatorInterface.AnimationThread - Class in nl.tudelft.simulation.dsol.simulators

The separate thread that takes care of the animation.

apply(T) - Method in class nl.tudelft.simulation.dsol.logger.SimTimeFormatter

args - Variable in class nl.tudelft.simulation.dsol.formalisms.eventscheduling.SimEvent

args are the arguments that are used to invoke the method with.

B

b - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaCashCarp

the parameters for b_ij, in f(., y_n + b_p1 k1 + bp2 k2 + ...).

b - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaFehlberg

the parameters for b_ij, in f(., y_n + b_p1 k1 + bp2 k2 + ...).

BACKLOG_EVENT - Static variable in class nl.tudelft.simulation.dsol.simulators.DevsRealTimeAnimator

the backlog event.

Bernoulli() - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistDiscreteSelection.Bernoulli

Construct the input for the Bernoulli distribution.

beta(double, double) - Static method in class nl.tudelft.simulation.jstats.math.ProbMath

Calculates Beta(z, w) where Beta(z, w) = Γ(z) Γ(w) / Γ(z + w).

Beta() - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuousSelection.Beta

Construct the input for the Beta distribution.

Binomial() - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistDiscreteSelection.Binomial

Construct the input for the Binomial distribution.

bounds - Variable in class nl.tudelft.simulation.dsol.animation.Editable

the location of the bounds.

C

c - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaCashCarp

the parameters for c_i, in y_n+1 = y_n + c_1 k_1 + c_2 k_2 + ...

c - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaFehlberg

the parameters for c_i, in y_n+1 = y_n + c_1 k_1 + c_2 k_2 + ...

c4 - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaCashCarp

the parameters for c4_i, in y_n+1 = y_n + c4_1 k_1 + c4_2 k_2 + ...

c4 - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaFehlberg

the parameters for c4_i, in y_n+1 = y_n + c4_1 k_1 + c4_2 k_2 + ...

CachingNumericalIntegrator - Class in nl.tudelft.simulation.jstats.ode.integrators

The CachingNumericalIntegrator is the basis for an integrator that needs access to previously calculated values of y', e.g.

CachingNumericalIntegrator(double, DifferentialEquationInterface, int, NumericalIntegratorType, int) - Constructor for class nl.tudelft.simulation.jstats.ode.integrators.CachingNumericalIntegrator

constructs a new CachingNumericalIntegrator with a fixed number of cache places.

cancelEvent(SimEventInterface<T>) - Method in class nl.tudelft.simulation.dsol.simulators.DevsSimulator

cancelEvent(SimEventInterface<T>) - Method in interface nl.tudelft.simulation.dsol.simulators.DevsSimulatorInterface

cancels an event from the event list.

CHANGE_SPEED_FACTOR_EVENT - Static variable in class nl.tudelft.simulation.dsol.simulators.DevsRealTimeAnimator

the speed factor event.

checkStoppingCondition() - Method in class nl.tudelft.simulation.dsol.simulators.Simulator

Check whether the stopping condition has been met, and take appropriate action if it has been met.

cleanUp() - Method in class nl.tudelft.simulation.dsol.simulators.Simulator

cleanUp() - Method in class nl.tudelft.simulation.dsol.simulators.Simulator.SimulatorWorkerThread

Clean up the worker thread. synchronized method, otherwise it does not own the Monitor on the wait.

cleanUp() - Method in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

Clean up the simulator after a replication.

clear() - Method in interface nl.tudelft.simulation.dsol.eventlists.EventListInterface

Clear the event list.

clear() - Method in class nl.tudelft.simulation.dsol.eventlists.EventListPriorityQueue

clear() - Method in class nl.tudelft.simulation.dsol.eventlists.RedBlackTree

clear() - Method in class nl.tudelft.simulation.dsol.eventlists.TableModelEventList

ClockDevDessAnimator - Class in nl.tudelft.simulation.dsol.simulators.clock

ClockDevDessAnimator is an extension of the ClockDevDessAnimator that works with Duration and ClockTime.

ClockDevDessAnimator(Serializable, Duration, ClockTime) - Constructor for class nl.tudelft.simulation.dsol.simulators.clock.ClockDevDessAnimator

Instantiate a ClockDevDessAnimator.

ClockDevDessSimulator - Class in nl.tudelft.simulation.dsol.simulators.clock

ClockDevDessSimulator is an extension of the ClockDevDessSimulator that works with Duration and ClockTime.

ClockDevDessSimulator(Serializable, Duration, ClockTime) - Constructor for class nl.tudelft.simulation.dsol.simulators.clock.ClockDevDessSimulator

Instantiate a ClockDevDessSimulator.

ClockDevsAnimator - Class in nl.tudelft.simulation.dsol.simulators.clock

ClockDevsAnimator is an extension of the DevsAnimator that works with Duration and ClockTime.

ClockDevsAnimator(Serializable, ClockTime) - Constructor for class nl.tudelft.simulation.dsol.simulators.clock.ClockDevsAnimator

Instantiate a ClockDevsAnimator.

ClockDevsRealTimeAnimator - Class in nl.tudelft.simulation.dsol.simulators.clock

ClockDevsRealTimeAnimator is an extension of the DevsRealTimeAnimator that works with Duration and ClockTime.

ClockDevsRealTimeAnimator(Serializable, ClockTime) - Constructor for class nl.tudelft.simulation.dsol.simulators.clock.ClockDevsRealTimeAnimator

Instantiate a ClockDevsRealTimeAnimator.

ClockDevsSimulator - Class in nl.tudelft.simulation.dsol.simulators.clock

ClockDevsSimulator is an extension of the DevsSimulator that works with Duration and ClockTime.

ClockDevsSimulator(Serializable, ClockTime) - Constructor for class nl.tudelft.simulation.dsol.simulators.clock.ClockDevsSimulator

Instantiate a ClockDevsSimulator.

ClockDevsSimulatorInterface - Interface in nl.tudelft.simulation.dsol.simulators.clock

ClockSimulatorInterface is an interface to use the ClockTime + Duration rather than a pure duration-based simulator.

ClockTime - Class in nl.tudelft.simulation.dsol.simulators.clock

ClockTime is an extension of DJUNITS time, aware of the calendar and clock time.

ClockTime(double, TimeUnit) - Constructor for class nl.tudelft.simulation.dsol.simulators.clock.ClockTime

Create a clock time as an extension of a djunits Time.

ClockTime(Time) - Constructor for class nl.tudelft.simulation.dsol.simulators.clock.ClockTime

Create a clock time as an extension of a djunits Time.

clone() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.AbstractInputParameter

clone() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.AbstractInputParameterMap

clone() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.AbstractInputParameterTypedMap

clone() - Method in interface nl.tudelft.simulation.dsol.model.inputparameters.InputParameter

Provide the clone() method to make a deep copy.

clone() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterBoolean

clone() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuous

clone() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistDiscrete

clone() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDouble

clone() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDoubleScalar

clone() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterFloat

clone() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterFloatScalar

clone() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterInteger

clone() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterLocalDateTime

clone() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterLong

clone() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterMap

clone() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterMapDistContinuous

clone() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterMapDistDiscrete

clone() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterSelectionList

clone() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterSelectionMap

clone() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterString

clone() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterUnit

comb(int, int) - Static method in class nl.tudelft.simulation.jstats.math.ProbMath

computes the combinations of n over k as a long.

comb(long, long) - Static method in class nl.tudelft.simulation.jstats.math.ProbMath

computes the combinations of n over k as a long.

combinations(int, int) - Static method in class nl.tudelft.simulation.jstats.math.ProbMath

computes the combinations of n over k.

combinations(long, long) - Static method in class nl.tudelft.simulation.jstats.math.ProbMath

computes the combinations of n over k.

compare(InputParameter<?, ?>, InputParameter<?, ?>) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.AbstractInputParameterMap.InputParameterComparator

compareTo(SimEventInterface<T>) - Method in interface nl.tudelft.simulation.dsol.formalisms.eventscheduling.SimEventInterface

Constant() - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuousSelection.Constant

Construct the input for the Constant distribution.

constructModel() - Method in interface nl.tudelft.simulation.dsol.model.DsolModel

Construct a model on a simulator.

contains(SimEventInterface<T>) - Method in interface nl.tudelft.simulation.dsol.eventlists.EventListInterface

Return whether this event list contains the given event.

contains(SimEventInterface<T>) - Method in class nl.tudelft.simulation.dsol.eventlists.EventListPriorityQueue

contains(SimEventInterface<T>) - Method in class nl.tudelft.simulation.dsol.eventlists.RedBlackTree

copy(T) - Static method in class nl.tudelft.simulation.dsol.simtime.SimTime

Return a copy (clone) of the number.

CounterTableModel - Class in nl.tudelft.simulation.dsol.statistics.table

CounterTableModel maintains a table with all statistics data from the SimCounter.

CounterTableModel(SimCounter<?>) - Constructor for class nl.tudelft.simulation.dsol.statistics.table.CounterTableModel

Constructor.

createDiscreteDistribution(double[], double[]) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.CumulativeProbabilities

Create an empirical distribution based on two arrays of the same length, one with sorted values, and one with corresponding sorted cumulative probabilities.

createDiscreteDistribution(double[], double[]) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.DistributionFrequencies

Create a discrete empirical distribution from two arrays, one with weights, and one with corresponding values.

createDiscreteDistribution(double[], double[]) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.ProbabilityDensities

Create a discrete empirical distribution, where the probabilities for a value indicate P(value), from two arrays, one with values, and one with corresponding densities (summing to 1.0).

createDiscreteDistribution(double[], int[]) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.DistributionFrequencies

Create a discrete empirical distribution from two arrays, one with frequencies or weights, and one with corresponding values.

createDiscreteDistribution(double[], long[]) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.DistributionFrequencies

Create a discrete empirical distribution from two arrays, one with frequencies or weights, and one with corresponding values.

createDiscreteDistribution(long[], double[]) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.CumulativeProbabilities

Create a discrete empirical distribution based on two arrays of the same length, one with sorted values, and one with corresponding sorted cumulative probabilities.

createDiscreteDistribution(long[], double[]) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.DistributionFrequencies

Create a discrete empirical distribution from two arrays, one with weights, and one with corresponding values.

createDiscreteDistribution(long[], double[]) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.ProbabilityDensities

Create a discrete empirical distribution, where the probabilities for a value indicate P(value), from two arrays, one with values, and one with corresponding probabilities (summing to 1.0).

createDiscreteDistribution(long[], int[]) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.DistributionFrequencies

Create a discrete empirical distribution from two arrays, one with frequencies or weights, and one with corresponding values.

createDiscreteDistribution(long[], long[]) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.DistributionFrequencies

Create a discrete empirical distribution from two arrays, one with frequencies or weights, and one with corresponding values.

createDiscreteDistribution(Number[], double[]) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.CumulativeProbabilities

Create a discrete empirical distribution based on two arrays of the same length, one with sorted values, and one with corresponding sorted cumulative probabilities.

createDiscreteDistribution(Number[], double[]) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.DistributionFrequencies

Create a discrete empirical distribution from two arrays, one with weights, and one with corresponding values.

createDiscreteDistribution(Number[], double[]) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.ProbabilityDensities

Create a discrete empirical distribution, where the probabilities for a value indicate P(value), from two arrays, one with values, and one with corresponding probabilities (summing to 1.0).

createDiscreteDistribution(Number[], int[]) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.DistributionFrequencies

Create a discrete empirical distribution from two arrays, one with frequencies or weights, and one with corresponding values.

createDiscreteDistribution(Number[], long[]) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.DistributionFrequencies

Create a discrete empirical distribution from two arrays, one with frequencies or weights, and one with corresponding values.

createDiscreteDistribution(Number[], Number[]) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.DistributionFrequencies

Create a discrete empirical distribution from two arrays, one with weights, and one with corresponding values.

createDiscreteDistribution(List<? extends Number>, List<? extends Number>) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.DistributionFrequencies

Create a discrete empirical distribution based on two Lists of the same length, one with sorted values, and one with corresponding frequencies or weights.

createDiscreteDistribution(List<? extends Number>, List<Double>) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.CumulativeProbabilities

Create a discrete empirical distribution based on two Lists of the same length, one with sorted values, and one with corresponding sorted cumulative probabilities.

createDiscreteDistribution(List<? extends Number>, List<Double>) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.ProbabilityDensities

Create a discrete empirical distribution, where the probabilities for a value indicate P(value), based on two Lists of the same length, one with probability probabilities, and one with sorted values.

createDiscreteDistribution(SortedMap<? extends Number, ? extends Number>) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.DistributionFrequencies

Create a discrete empirical distribution based on a sorted map with sorted values mapping to frequencies.

createDiscreteDistribution(SortedMap<? extends Number, Double>) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.CumulativeProbabilities

Create a discrete empirical distribution based on a sorted map with sorted values mapping to cumulative probabilities.

createDiscreteDistribution(SortedMap<? extends Number, Double>) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.ProbabilityDensities

Create a discrete empirical distribution, where the probabilities for a value indicate P(value), based on a sorted map with sorted values mapping to probability densities.

createFromObservations(double[]) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.Observations

Create an empirical distribution from an array with observations.

createFromObservations(long[]) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.Observations

Create an empirical distribution from an array with observations.

createFromObservations(Number[]) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.Observations

Create an empirical distribution from an array with observations.

createFromObservations(List<? extends Number>) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.Observations

Create an empirical distribution from a list with observations.

createInterpolatedDistribution(double[], double[]) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.CumulativeProbabilities

Create an empirical distribution based on two arrays of the same length, one with sorted values, and one with corresponding sorted cumulative probabilities.

createInterpolatedDistribution(double[], double[]) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.ProbabilityDensities

Create a continuous empirical distribution, where the density for index i indicates that

createInterpolatedDistribution(long[], double[]) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.CumulativeProbabilities

Create an interpolated empirical distribution based on two arrays of the same length, one with sorted values, and one with corresponding sorted cumulative probabilities.

createInterpolatedDistribution(long[], double[]) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.ProbabilityDensities

Create a continuous empirical distribution, where the density for index i indicates that

createInterpolatedDistribution(Number[], double[]) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.CumulativeProbabilities

Create an interpolated empirical distribution based on two arrays of the same length, one with sorted values, and one with corresponding sorted cumulative probabilities.

createInterpolatedDistribution(Number[], double[]) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.ProbabilityDensities

Create a continuous empirical distribution, where the density for index i indicates that

createInterpolatedDistribution(List<? extends Number>, List<Double>) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.CumulativeProbabilities

Create an interpolated empirical distribution based on two Lists of the same length, one with sorted values, and one with corresponding sorted cumulative probabilities.

createInterpolatedDistribution(List<? extends Number>, List<Double>) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.ProbabilityDensities

Create a continuous empirical distribution, where the density for index i indicates that

createInterpolatedDistribution(SortedMap<? extends Number, Double>) - Static method in class nl.tudelft.simulation.jstats.distributions.empirical.CumulativeProbabilities

Create an interpolated empirical distribution based on a sorted map with sorted values mapping to cumulative probabilities.

CumulativeProbabilities - Class in nl.tudelft.simulation.jstats.distributions.empirical

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.

D

dayOfWeek() - Method in class nl.tudelft.simulation.dsol.simulators.clock.ClockTime

Return the day of the week of the ClockTime.

dayOfWeekInt() - Method in class nl.tudelft.simulation.dsol.simulators.clock.ClockTime

Return the int for the day of the week of the ClockTime with 1=MONDAY, 7=SUNDAY.

DEFAULT_ANIMATION_DELAY - Static variable in interface nl.tudelft.simulation.dsol.simulators.AnimatorInterface

DEFAULT_ANIMATION_DELAY of 100 milliseconds used in the animator.

DessSimulator<T extends Number & Comparable<T>> - Class in nl.tudelft.simulation.dsol.simulators

The DESS defines the interface of the DESS simulator.

DessSimulator(Serializable, T) - Constructor for class nl.tudelft.simulation.dsol.simulators.DessSimulator

Construct a DessSimulator with an initial time step for the integration process.

DessSimulatorInterface<T extends Number & Comparable<T>> - Interface in nl.tudelft.simulation.dsol.simulators

The DessSimulatorInterface defines the methods for a DESS simulator.

destroy(SimulatorInterface<?>) - Method in class nl.tudelft.simulation.dsol.animation.SimRenderable2d

destroys an RenderableObject by unsubscribing it from the context.

DevDessAnimator<T extends Number & Comparable<T>> - Class in nl.tudelft.simulation.dsol.simulators

The reference implementation of the animator.

DevDessAnimator(Serializable, T) - Constructor for class nl.tudelft.simulation.dsol.simulators.DevDessAnimator

DevDessSimulator<T extends Number & Comparable<T>> - Class in nl.tudelft.simulation.dsol.simulators

The reference implementation of the DEVDESS simulator.

DevDessSimulator(Serializable, T) - Constructor for class nl.tudelft.simulation.dsol.simulators.DevDessSimulator

Construct a DEVDessSimulator with an initial time step for the integration process.

DevsAnimator<T extends Number & Comparable<T>> - Class in nl.tudelft.simulation.dsol.simulators

The reference implementation of the animator.

DevsAnimator(Serializable) - Constructor for class nl.tudelft.simulation.dsol.simulators.DevsAnimator

Create a new DevsAnimator.

DevsRealTimeAnimator<T extends Number & Comparable<T>> - Class in nl.tudelft.simulation.dsol.simulators

The reference implementation of the realTimeClock.

DevsRealTimeAnimator(Serializable) - Constructor for class nl.tudelft.simulation.dsol.simulators.DevsRealTimeAnimator

Constructs a new DevsRealTimeClock.

DevsRealTimeAnimator.TimeDouble - Class in nl.tudelft.simulation.dsol.simulators

Easy access class RealTimeClock<Double>.

DevsRealTimeAnimator.TimeDoubleUnit - Class in nl.tudelft.simulation.dsol.simulators

Easy access class RealTimeClock<Duration>.

DevsRealTimeAnimator.TimeFloat - Class in nl.tudelft.simulation.dsol.simulators

Easy access class RealTimeClock<Float>.

DevsRealTimeAnimator.TimeFloatUnit - Class in nl.tudelft.simulation.dsol.simulators

Easy access class RealTimeClock<FloatDuration>.

DevsRealTimeAnimator.TimeLong - Class in nl.tudelft.simulation.dsol.simulators

Easy access class RealTimeClock<Long>.

DevsSimulator<T extends Number & Comparable<T>> - Class in nl.tudelft.simulation.dsol.simulators

The DEVS defines the interface of the DEVS simulator.

DevsSimulator(Serializable) - Constructor for class nl.tudelft.simulation.dsol.simulators.DevsSimulator

Constructs a new DevsSimulator.

DevsSimulatorInterface<T extends Number & Comparable<T>> - Interface in nl.tudelft.simulation.dsol.simulators

The DEVS defines the interface of the DEVS simulator.

DifferentialEquation<T extends Number & Comparable<T>> - Class in nl.tudelft.simulation.dsol.formalisms.dess

The Differential equation provides a reference implementation of the differential equation.

DifferentialEquation - Class in nl.tudelft.simulation.jstats.ode

The DifferentialEquation is the abstract basis for the DESS formalism.

DifferentialEquation(double, NumericalIntegratorType) - Constructor for class nl.tudelft.simulation.jstats.ode.DifferentialEquation

constructs a new DifferentialEquation with a user-specified integrator.

DifferentialEquation(DessSimulatorInterface<T>, double, NumericalIntegratorType, int) - Constructor for class nl.tudelft.simulation.dsol.formalisms.dess.DifferentialEquation

constructs a new DifferentialEquation.

DifferentialEquation(DessSimulatorInterface<T>, int) - Constructor for class nl.tudelft.simulation.dsol.formalisms.dess.DifferentialEquation

Construct a new DifferentialEquation with a step size equal to the simulator time step, and Runge-Kutta4 as the default integrator.

DifferentialEquation(DessSimulatorInterface<T>, NumericalIntegratorType, int) - Constructor for class nl.tudelft.simulation.dsol.formalisms.dess.DifferentialEquation

constructs a new DifferentialEquation with a step size equal to the simulator timestep.

DifferentialEquationInterface - Interface in nl.tudelft.simulation.jstats.ode

An interface for the DifferentialEquation.

DiscreteConstant() - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistDiscreteSelection.DiscreteConstant

Construct the input for the DiscreteConstant distribution.

DiscreteEmpiricalDistribution - Class in nl.tudelft.simulation.jstats.distributions.empirical

The DiscreteEmpiricalDistribution implements the logic for a cumulative distribution function for an empirical distribution, where no interpolation between the given values takes place.

DiscreteEmpiricalDistribution(Number[], double[]) - Constructor for class nl.tudelft.simulation.jstats.distributions.empirical.DiscreteEmpiricalDistribution

Construct the empirical distribution based on two arrays of the same length, one with sorted values, and one with corresponding sorted cumulative probabilities.

DiscreteUniform() - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistDiscreteSelection.DiscreteUniform

Construct the input for the DiscreteUniform distribution.

dist - Variable in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterMapDistContinuous

the distribution based on the input.

dist - Variable in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterMapDistDiscrete

the distribution based on the input.

Dist - Class in nl.tudelft.simulation.jstats.distributions

The Distribution class forms the basis for all statistical distributions.

Dist(StreamInterface) - Constructor for class nl.tudelft.simulation.jstats.distributions.Dist

Constructs a new Distribution.

DistBernoulli - Class in nl.tudelft.simulation.jstats.distributions

The Bernoulli distribution, with p as the probability for success.

DistBernoulli(StreamInterface, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistBernoulli

constructs a new Bernoulli distribution, with p as the probability for success (X=1), where failure is associated with X=0.

DistBeta - Class in nl.tudelft.simulation.jstats.distributions

The Beta distribution.

DistBeta(StreamInterface, double, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistBeta

constructs a new beta distribution.

DistBinomial - Class in nl.tudelft.simulation.jstats.distributions

The Binomial distribution.

DistBinomial(StreamInterface, int, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistBinomial

constructs a Binomial distribution.

DistConstant - Class in nl.tudelft.simulation.jstats.distributions

The Constant distribution.

DistConstant(StreamInterface, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistConstant

constructs a new constant distribution.

DistContinuous - Class in nl.tudelft.simulation.jstats.distributions

The Continuous distribution.

DistContinuous(StreamInterface) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistContinuous

constructs a new continuous distribution.

DistContinuousAbsoluteTemperature - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousAbsoluteTemperature is class defining a distribution for a AbsoluteTemperature scalar.

DistContinuousAbsoluteTemperature(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousAbsoluteTemperature

Constructs a new continuous distribution that draws AbsoluteTemperature scalars in BASE units.

DistContinuousAbsoluteTemperature(DistContinuous, AbsoluteTemperatureUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousAbsoluteTemperature

Constructs a new continuous distribution that draws AbsoluteTemperature scalars.

DistContinuousAbsorbedDose - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousAbsorbedDose is class defining a distribution for a AbsorbedDose scalar.

DistContinuousAbsorbedDose(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousAbsorbedDose

Constructs a new continuous distribution that draws AbsorbedDose scalars in SI units.

DistContinuousAbsorbedDose(DistContinuous, AbsorbedDoseUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousAbsorbedDose

Constructs a new continuous distribution that draws AbsorbedDose scalars.

DistContinuousAcceleration - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousAcceleration is class defining a distribution for a Acceleration scalar.

DistContinuousAcceleration(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousAcceleration

Constructs a new continuous distribution that draws Acceleration scalars in SI units.

DistContinuousAcceleration(DistContinuous, AccelerationUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousAcceleration

Constructs a new continuous distribution that draws Acceleration scalars.

DistContinuousAmountOfSubstance - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousAmountOfSubstance is class defining a distribution for a AmountOfSubstance scalar.

DistContinuousAmountOfSubstance(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousAmountOfSubstance

Constructs a new continuous distribution that draws AmountOfSubstance scalars in SI units.

DistContinuousAmountOfSubstance(DistContinuous, AmountOfSubstanceUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousAmountOfSubstance

Constructs a new continuous distribution that draws AmountOfSubstance scalars.

DistContinuousAngle - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousAngle is class defining a distribution for a Angle scalar.

DistContinuousAngle(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousAngle

Constructs a new continuous distribution that draws Angle scalars in SI units.

DistContinuousAngle(DistContinuous, AngleUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousAngle

Constructs a new continuous distribution that draws Angle scalars.

DistContinuousArea - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousArea is class defining a distribution for a Area scalar.

DistContinuousArea(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousArea

Constructs a new continuous distribution that draws Area scalars in SI units.

DistContinuousArea(DistContinuous, AreaUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousArea

Constructs a new continuous distribution that draws Area scalars.

DistContinuousCatalyticActivity - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousCatalyticActivity is class defining a distribution for a CatalyticActivity scalar.

DistContinuousCatalyticActivity(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousCatalyticActivity

Constructs a new continuous distribution that draws CatalyticActivity scalars in SI units.

DistContinuousCatalyticActivity(DistContinuous, CatalyticActivityUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousCatalyticActivity

Constructs a new continuous distribution that draws CatalyticActivity scalars.

DistContinuousDensity - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousDensity is class defining a distribution for a Density scalar.

DistContinuousDensity(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousDensity

Constructs a new continuous distribution that draws Density scalars in SI units.

DistContinuousDensity(DistContinuous, DensityUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousDensity

Constructs a new continuous distribution that draws Density scalars.

DistContinuousDimensionless - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousDimensionless is class defining a distribution for a Dimensionless scalar.

DistContinuousDimensionless(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousDimensionless

Constructs a new continuous distribution that draws Dimensionless scalars in SI units.

DistContinuousDimensionless(DistContinuous, DimensionlessUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousDimensionless

Constructs a new continuous distribution that draws Dimensionless scalars.

DistContinuousDirection - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousDirection is class defining a distribution for a Direction scalar.

DistContinuousDirection(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousDirection

Constructs a new continuous distribution that draws Direction scalars in BASE units.

DistContinuousDirection(DistContinuous, DirectionUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousDirection

Constructs a new continuous distribution that draws Direction scalars.

DistContinuousDuration - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousDuration is class defining a distribution for a Duration scalar.

DistContinuousDuration(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousDuration

Constructs a new continuous distribution that draws Duration scalars in SI units.

DistContinuousDuration(DistContinuous, DurationUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousDuration

Constructs a new continuous distribution that draws Duration scalars.

DistContinuousElectricalCapacitance - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousElectricalCapacitance is class defining a distribution for a ElectricalCapacitance scalar.

DistContinuousElectricalCapacitance(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousElectricalCapacitance

Constructs a new continuous distribution that draws ElectricalCapacitance scalars in SI units.

DistContinuousElectricalCapacitance(DistContinuous, ElectricalCapacitanceUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousElectricalCapacitance

Constructs a new continuous distribution that draws ElectricalCapacitance scalars.

DistContinuousElectricalCharge - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousElectricalCharge is class defining a distribution for a ElectricalCharge scalar.

DistContinuousElectricalCharge(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousElectricalCharge

Constructs a new continuous distribution that draws ElectricalCharge scalars in SI units.

DistContinuousElectricalCharge(DistContinuous, ElectricalChargeUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousElectricalCharge

Constructs a new continuous distribution that draws ElectricalCharge scalars.

DistContinuousElectricalConductance - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousElectricalConductance is class defining a distribution for a ElectricalConductance scalar.

DistContinuousElectricalConductance(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousElectricalConductance

Constructs a new continuous distribution that draws ElectricalConductance scalars in SI units.

DistContinuousElectricalConductance(DistContinuous, ElectricalConductanceUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousElectricalConductance

Constructs a new continuous distribution that draws ElectricalConductance scalars.

DistContinuousElectricalCurrent - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousElectricalCurrent is class defining a distribution for a ElectricalCurrent scalar.

DistContinuousElectricalCurrent(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousElectricalCurrent

Constructs a new continuous distribution that draws ElectricalCurrent scalars in SI units.

DistContinuousElectricalCurrent(DistContinuous, ElectricalCurrentUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousElectricalCurrent

Constructs a new continuous distribution that draws ElectricalCurrent scalars.

DistContinuousElectricalInductance - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousElectricalInductance is class defining a distribution for a ElectricalInductance scalar.

DistContinuousElectricalInductance(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousElectricalInductance

Constructs a new continuous distribution that draws ElectricalInductance scalars in SI units.

DistContinuousElectricalInductance(DistContinuous, ElectricalInductanceUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousElectricalInductance

Constructs a new continuous distribution that draws ElectricalInductance scalars.

DistContinuousElectricalPotential - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousElectricalPotential is class defining a distribution for a ElectricalPotential scalar.

DistContinuousElectricalPotential(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousElectricalPotential

Constructs a new continuous distribution that draws ElectricalPotential scalars in SI units.

DistContinuousElectricalPotential(DistContinuous, ElectricalPotentialUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousElectricalPotential

Constructs a new continuous distribution that draws ElectricalPotential scalars.

DistContinuousElectricalResistance - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousElectricalResistance is class defining a distribution for a ElectricalResistance scalar.

DistContinuousElectricalResistance(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousElectricalResistance

Constructs a new continuous distribution that draws ElectricalResistance scalars in SI units.

DistContinuousElectricalResistance(DistContinuous, ElectricalResistanceUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousElectricalResistance

Constructs a new continuous distribution that draws ElectricalResistance scalars.

DistContinuousEnergy - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousEnergy is class defining a distribution for a Energy scalar.

DistContinuousEnergy(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousEnergy

Constructs a new continuous distribution that draws Energy scalars in SI units.

DistContinuousEnergy(DistContinuous, EnergyUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousEnergy

Constructs a new continuous distribution that draws Energy scalars.

DistContinuousEquivalentDose - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousEquivalentDose is class defining a distribution for a EquivalentDose scalar.

DistContinuousEquivalentDose(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousEquivalentDose

Constructs a new continuous distribution that draws EquivalentDose scalars in SI units.

DistContinuousEquivalentDose(DistContinuous, EquivalentDoseUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousEquivalentDose

Constructs a new continuous distribution that draws EquivalentDose scalars.

DistContinuousFlowMass - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousFlowMass is class defining a distribution for a FlowMass scalar.

DistContinuousFlowMass(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousFlowMass

Constructs a new continuous distribution that draws FlowMass scalars in SI units.

DistContinuousFlowMass(DistContinuous, FlowMassUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousFlowMass

Constructs a new continuous distribution that draws FlowMass scalars.

DistContinuousFlowVolume - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousFlowVolume is class defining a distribution for a FlowVolume scalar.

DistContinuousFlowVolume(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousFlowVolume

Constructs a new continuous distribution that draws FlowVolume scalars in SI units.

DistContinuousFlowVolume(DistContinuous, FlowVolumeUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousFlowVolume

Constructs a new continuous distribution that draws FlowVolume scalars.

DistContinuousForce - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousForce is class defining a distribution for a Force scalar.

DistContinuousForce(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousForce

Constructs a new continuous distribution that draws Force scalars in SI units.

DistContinuousForce(DistContinuous, ForceUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousForce

Constructs a new continuous distribution that draws Force scalars.

DistContinuousFrequency - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousFrequency is class defining a distribution for a Frequency scalar.

DistContinuousFrequency(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousFrequency

Constructs a new continuous distribution that draws Frequency scalars in SI units.

DistContinuousFrequency(DistContinuous, FrequencyUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousFrequency

Constructs a new continuous distribution that draws Frequency scalars.

DistContinuousIlluminance - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousIlluminance is class defining a distribution for a Illuminance scalar.

DistContinuousIlluminance(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousIlluminance

Constructs a new continuous distribution that draws Illuminance scalars in SI units.

DistContinuousIlluminance(DistContinuous, IlluminanceUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousIlluminance

Constructs a new continuous distribution that draws Illuminance scalars.

DistContinuousLength - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousLength is class defining a distribution for a Length scalar.

DistContinuousLength(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousLength

Constructs a new continuous distribution that draws Length scalars in SI units.

DistContinuousLength(DistContinuous, LengthUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousLength

Constructs a new continuous distribution that draws Length scalars.

DistContinuousLinearDensity - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousLinearDensity is class defining a distribution for a LinearDensity scalar.

DistContinuousLinearDensity(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousLinearDensity

Constructs a new continuous distribution that draws LinearDensity scalars in SI units.

DistContinuousLinearDensity(DistContinuous, LinearDensityUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousLinearDensity

Constructs a new continuous distribution that draws LinearDensity scalars.

DistContinuousLuminousFlux - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousLuminousFlux is class defining a distribution for a LuminousFlux scalar.

DistContinuousLuminousFlux(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousLuminousFlux

Constructs a new continuous distribution that draws LuminousFlux scalars in SI units.

DistContinuousLuminousFlux(DistContinuous, LuminousFluxUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousLuminousFlux

Constructs a new continuous distribution that draws LuminousFlux scalars.

DistContinuousLuminousIntensity - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousLuminousIntensity is class defining a distribution for a LuminousIntensity scalar.

DistContinuousLuminousIntensity(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousLuminousIntensity

Constructs a new continuous distribution that draws LuminousIntensity scalars in SI units.

DistContinuousLuminousIntensity(DistContinuous, LuminousIntensityUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousLuminousIntensity

Constructs a new continuous distribution that draws LuminousIntensity scalars.

DistContinuousMagneticFlux - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousMagneticFlux is class defining a distribution for a MagneticFlux scalar.

DistContinuousMagneticFlux(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousMagneticFlux

Constructs a new continuous distribution that draws MagneticFlux scalars in SI units.

DistContinuousMagneticFlux(DistContinuous, MagneticFluxUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousMagneticFlux

Constructs a new continuous distribution that draws MagneticFlux scalars.

DistContinuousMagneticFluxDensity - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousMagneticFluxDensity is class defining a distribution for a MagneticFluxDensity scalar.

DistContinuousMagneticFluxDensity(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousMagneticFluxDensity

Constructs a new continuous distribution that draws MagneticFluxDensity scalars in SI units.

DistContinuousMagneticFluxDensity(DistContinuous, MagneticFluxDensityUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousMagneticFluxDensity

Constructs a new continuous distribution that draws MagneticFluxDensity scalars.

DistContinuousMass - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousMass is class defining a distribution for a Mass scalar.

DistContinuousMass(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousMass

Constructs a new continuous distribution that draws Mass scalars in SI units.

DistContinuousMass(DistContinuous, MassUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousMass

Constructs a new continuous distribution that draws Mass scalars.

DistContinuousPosition - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousPosition is class defining a distribution for a Position scalar.

DistContinuousPosition(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousPosition

Constructs a new continuous distribution that draws Position scalars in BASE units.

DistContinuousPosition(DistContinuous, PositionUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousPosition

Constructs a new continuous distribution that draws Position scalars.

DistContinuousPower - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousPower is class defining a distribution for a Power scalar.

DistContinuousPower(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousPower

Constructs a new continuous distribution that draws Power scalars in SI units.

DistContinuousPower(DistContinuous, PowerUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousPower

Constructs a new continuous distribution that draws Power scalars.

DistContinuousPressure - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousPressure is class defining a distribution for a Pressure scalar.

DistContinuousPressure(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousPressure

Constructs a new continuous distribution that draws Pressure scalars in SI units.

DistContinuousPressure(DistContinuous, PressureUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousPressure

Constructs a new continuous distribution that draws Pressure scalars.

DistContinuousRadioActivity - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousRadioActivity is class defining a distribution for a RadioActivity scalar.

DistContinuousRadioActivity(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousRadioActivity

Constructs a new continuous distribution that draws RadioActivity scalars in SI units.

DistContinuousRadioActivity(DistContinuous, RadioActivityUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousRadioActivity

Constructs a new continuous distribution that draws RadioActivity scalars.

DistContinuousSimulationTime<T extends Number & Comparable<T>> - Class in nl.tudelft.simulation.dsol.simtime.dist

Definitions of distributions over relative time.

DistContinuousSimulationTime(DistContinuous) - Constructor for class nl.tudelft.simulation.dsol.simtime.dist.DistContinuousSimulationTime

constructs a new continuous distribution.

DistContinuousSimulationTime.TimeDouble - Class in nl.tudelft.simulation.dsol.simtime.dist

Easy access class DistContinuousTime.Double.

DistContinuousSimulationTime.TimeDoubleUnit - Class in nl.tudelft.simulation.dsol.simtime.dist

Easy access class DistContinuousTime.DoubleUnit.

DistContinuousSimulationTime.TimeFloat - Class in nl.tudelft.simulation.dsol.simtime.dist

Easy access class DistContinuousTime.Float.

DistContinuousSimulationTime.TimeFloatUnit - Class in nl.tudelft.simulation.dsol.simtime.dist

Easy access class DistContinuousTime.FloatUnit.

DistContinuousSimulationTime.TimeLong - Class in nl.tudelft.simulation.dsol.simtime.dist

Easy access class DistContinuousTime.Long.

DistContinuousSolidAngle - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousSolidAngle is class defining a distribution for a SolidAngle scalar.

DistContinuousSolidAngle(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousSolidAngle

Constructs a new continuous distribution that draws SolidAngle scalars in SI units.

DistContinuousSolidAngle(DistContinuous, SolidAngleUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousSolidAngle

Constructs a new continuous distribution that draws SolidAngle scalars.

DistContinuousSpeed - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousSpeed is class defining a distribution for a Speed scalar.

DistContinuousSpeed(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousSpeed

Constructs a new continuous distribution that draws Speed scalars in SI units.

DistContinuousSpeed(DistContinuous, SpeedUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousSpeed

Constructs a new continuous distribution that draws Speed scalars.

DistContinuousTemperature - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousTemperature is class defining a distribution for a Temperature scalar.

DistContinuousTemperature(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousTemperature

Constructs a new continuous distribution that draws Temperature scalars in SI units.

DistContinuousTemperature(DistContinuous, TemperatureUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousTemperature

Constructs a new continuous distribution that draws Temperature scalars.

DistContinuousTime - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousTime is class defining a distribution for a Time scalar.

DistContinuousTime(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousTime

Constructs a new continuous distribution that draws Time scalars in BASE units.

DistContinuousTime(DistContinuous, TimeUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousTime

Constructs a new continuous distribution that draws Time scalars.

DistContinuousTorque - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousTorque is class defining a distribution for a Torque scalar.

DistContinuousTorque(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousTorque

Constructs a new continuous distribution that draws Torque scalars in SI units.

DistContinuousTorque(DistContinuous, TorqueUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousTorque

Constructs a new continuous distribution that draws Torque scalars.

DistContinuousUnit<U extends org.djunits.unit.Unit<U>,S extends org.djunits.value.vdouble.scalar.base.DoubleScalar<U,S>> - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousUnit is the abstract class defining a distribution for a scalar with a unit.

DistContinuousUnit(DistContinuous, U) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousUnit

constructs a new continuous distribution.

DistContinuousVolume - Class in nl.tudelft.simulation.jstats.distributions.unit

DistContinuousVolume is class defining a distribution for a Volume scalar.

DistContinuousVolume(DistContinuous) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousVolume

Constructs a new continuous distribution that draws Volume scalars in SI units.

DistContinuousVolume(DistContinuous, VolumeUnit) - Constructor for class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousVolume

Constructs a new continuous distribution that draws Volume scalars.

DistDiscrete - Class in nl.tudelft.simulation.jstats.distributions

The discrete distribution.

DistDiscrete(StreamInterface) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistDiscrete

constructs a new discrete distribution.

DistDiscreteConstant - Class in nl.tudelft.simulation.jstats.distributions

The Constant distribution.

DistDiscreteConstant(StreamInterface, long) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistDiscreteConstant

creates a new discrete constant distribution.

DistDiscreteUniform - Class in nl.tudelft.simulation.jstats.distributions

The discrete Uniform distribution.

DistDiscreteUniform(StreamInterface, long, long) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistDiscreteUniform

constructs a new discrete uniform distribution, such as throwing dice with possible outcomes 1..6.

DistEmpiricalDiscreteDouble - Class in nl.tudelft.simulation.jstats.distributions

The empirical distribution is a distribution where the information is stored in an EmpiricalDistribution, consisting of pairs of values and cumulative probabilities.

DistEmpiricalDiscreteDouble(StreamInterface, DiscreteEmpiricalDistribution) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistEmpiricalDiscreteDouble

constructs a new DistEmpirical.

DistEmpiricalDiscreteLong - Class in nl.tudelft.simulation.jstats.distributions

A discrete empirical distribution as defined on page 326 of Law & Kelton, based on an EmpiricalDistribution object.

DistEmpiricalDiscreteLong(StreamInterface, DiscreteEmpiricalDistribution) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistEmpiricalDiscreteLong

constructs a new DistEmpirical distribution.

DistEmpiricalInterpolated - Class in nl.tudelft.simulation.jstats.distributions

The empirical distribution is a distribution where the information is stored in an EmpiricalDistribution, consisting of pairs of values and cumulative probabilities.

DistEmpiricalInterpolated(StreamInterface, InterpolatedEmpiricalDistribution) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistEmpiricalInterpolated

constructs a new DistEmpirical.

DistErlang - Class in nl.tudelft.simulation.jstats.distributions

The Erlang distribution.

DistErlang(StreamInterface, double, int) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistErlang

Construct a new Erlang distribution with k and a mean (so not k and a rate) as parameters.

DistExponential - Class in nl.tudelft.simulation.jstats.distributions

The Exponential distribution.

DistExponential(StreamInterface, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistExponential

constructs a new exponential function.

DistGamma - Class in nl.tudelft.simulation.jstats.distributions

The Gamma distribution.

DistGamma(StreamInterface, double, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistGamma

constructs a new gamma distribution.

DistGeometric - Class in nl.tudelft.simulation.jstats.distributions

The Geometric distribution.

DistGeometric(StreamInterface, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistGeometric

Construct a new geometric distribution for a repeated set of Bernoulli trials, indicating the number of failures before the first success.

DistLogNormal - Class in nl.tudelft.simulation.jstats.distributions

The LogNormal distribution.

DistLogNormal(StreamInterface, double, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistLogNormal

Construct a new Lognormal distribution.

DistLogNormalTrunc - Class in nl.tudelft.simulation.jstats.distributions

The Truncated Lognormal distribution.

DistLogNormalTrunc(StreamInterface, double, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistLogNormalTrunc

Construct a truncated lognormal distribution with mu=0, sigma=1 with given min and max.

DistLogNormalTrunc(StreamInterface, double, double, double, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistLogNormalTrunc

constructs a truncated lognormal distribution with mu and sigma and given min and max.

DistNegBinomial - Class in nl.tudelft.simulation.jstats.distributions

The Negative Binomial distribution.

DistNegBinomial(StreamInterface, int, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistNegBinomial

constructs a new negative binomial distribution.

DistNormal - Class in nl.tudelft.simulation.jstats.distributions

The Normal distribution.

DistNormal(StreamInterface) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistNormal

constructs a standard normal distribution with mu=0 and sigma=1.

DistNormal(StreamInterface, double, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistNormal

constructs a normal distribution with provided mu and sigma.

DistNormalTrunc - Class in nl.tudelft.simulation.jstats.distributions

The Normal Truncated distribution.

DistNormalTrunc(StreamInterface, double, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistNormalTrunc

constructs a normal distribution with mu=0 and sigma=1.

DistNormalTrunc(StreamInterface, double, double, double, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistNormalTrunc

constructs a normal distribution with mu and sigma.

DistPearson5 - Class in nl.tudelft.simulation.jstats.distributions

The Pearson5 distribution with a shape parameter α and a scale parameter β.

DistPearson5(StreamInterface, double, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistPearson5

constructs a new Pearson5 distribution.

DistPearson6 - Class in nl.tudelft.simulation.jstats.distributions

The Pearson6 distribution.

DistPearson6(StreamInterface, double, double, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistPearson6

constructs a new Pearson6 distribution.

DistPoisson - Class in nl.tudelft.simulation.jstats.distributions

The Poisson distribution.

DistPoisson(StreamInterface, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistPoisson

constructs a new Poisson distribution.

DistributionEntry - Class in nl.tudelft.simulation.jstats.distributions.empirical

The Entry contains an actual cumulative probability - value pair.

DistributionEntry(Number, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.empirical.DistributionEntry

Constructs a new Entry, which is a cumulative probability - value pair.

DistributionFrequencies - Class in nl.tudelft.simulation.jstats.distributions.empirical

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 - Class in nl.tudelft.simulation.jstats.distributions

The Triangular distribution.

DistTriangular(StreamInterface, double, double, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistTriangular

constructs a new triangular distribution with a minimum, mode, and maximum.

DistUniform - Class in nl.tudelft.simulation.jstats.distributions

The Uniform distribution.

DistUniform(StreamInterface, double, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistUniform

constructs a new uniform distribution. min and max are real numbers with min less than max. min is a location parameter, max-min is a scale parameter.

DistWeibull - Class in nl.tudelft.simulation.jstats.distributions

The Weibull distribution with a shape parameter α and a scale parameter β.

DistWeibull(StreamInterface, double, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistWeibull

constructs a new Weibull distribution.

draw() - Method in class nl.tudelft.simulation.dsol.simtime.dist.DistContinuousSimulationTime

draws the next stream value according to the probability of this this distribution.

draw() - Method in class nl.tudelft.simulation.dsol.simtime.dist.DistContinuousSimulationTime.TimeDouble

draw() - Method in class nl.tudelft.simulation.dsol.simtime.dist.DistContinuousSimulationTime.TimeDoubleUnit

draw() - Method in class nl.tudelft.simulation.dsol.simtime.dist.DistContinuousSimulationTime.TimeFloat

draw() - Method in class nl.tudelft.simulation.dsol.simtime.dist.DistContinuousSimulationTime.TimeFloatUnit

draw() - Method in class nl.tudelft.simulation.dsol.simtime.dist.DistContinuousSimulationTime.TimeLong

draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistBernoulli

draws the next value from the Bernoulli distribution.

draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistBeta

draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistBinomial

draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistConstant

draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistContinuous

draws the next stream value according to the probability of this this distribution.

draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistDiscrete

draws the next long from the stream.

draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistDiscreteConstant

draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistDiscreteUniform

draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistEmpiricalDiscreteDouble

draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistEmpiricalDiscreteLong

draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistEmpiricalInterpolated

draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistErlang

draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistExponential

draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistGamma

draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistGeometric

draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistLogNormal

draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistLogNormalTrunc

draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistNegBinomial

draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistNormal

draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistNormalTrunc

draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistPearson5

draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistPearson6

draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistPoisson

draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistTriangular

draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistUniform

draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistWeibull

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousAbsoluteTemperature

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousAbsorbedDose

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousAcceleration

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousAmountOfSubstance

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousAngle

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousArea

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousCatalyticActivity

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousDensity

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousDimensionless

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousDirection

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousDuration

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousElectricalCapacitance

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousElectricalCharge

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousElectricalConductance

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousElectricalCurrent

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousElectricalInductance

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousElectricalPotential

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousElectricalResistance

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousEnergy

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousEquivalentDose

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousFlowMass

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousFlowVolume

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousForce

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousFrequency

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousIlluminance

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousLength

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousLinearDensity

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousLuminousFlux

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousLuminousIntensity

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousMagneticFlux

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousMagneticFluxDensity

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousMass

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousPosition

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousPower

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousPressure

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousRadioActivity

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousSolidAngle

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousSpeed

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousTemperature

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousTime

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousTorque

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousUnit

draws the next stream value according to the probability of this this distribution.

draw() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousVolume

DsolModel<T extends Number & Comparable<T>,S extends SimulatorInterface<T>> - Interface in nl.tudelft.simulation.dsol.model

The model interface defines the model object.

DX120Generator - Class in nl.tudelft.simulation.jstats.streams

The DX-120-4 pseudo random number generator.

DX120Generator() - Constructor for class nl.tudelft.simulation.jstats.streams.DX120Generator

constructs a new LC48Generator. the seed value used equals System.currentTimeMillis()

DX120Generator(long) - Constructor for class nl.tudelft.simulation.jstats.streams.DX120Generator

constructs a new LC48Generator.

dy(double, double[]) - Method in interface nl.tudelft.simulation.jstats.ode.DifferentialEquationInterface

returns dy as a function of x,y.

E

Editable - Class in nl.tudelft.simulation.dsol.animation

An Editable object is a simulation object that can be edited by the user.

Editable(SimulatorInterface<?>, OrientedPoint3d) - Constructor for class nl.tudelft.simulation.dsol.animation.Editable

constructs a new Editable.

EmpiricalDistributionInterface - Interface in nl.tudelft.simulation.jstats.distributions.empirical

The EmpiricalDistributionInterface describes a cumulative distribution function for an empirical distribution.

END_EXPERIMENT_EVENT - Static variable in class nl.tudelft.simulation.dsol.experiment.Experiment

END_EXPERIMENT_EVENT is fired when the experiment is ended.

END_REPLICATION_EVENT - Static variable in class nl.tudelft.simulation.dsol.experiment.Replication

END_REPLICATION_EVENT is fired when a replication is finished.

ENDED - Enum constant in enum class nl.tudelft.simulation.dsol.simulators.ReplicationState

The replication has ended, and the simulator cannot be restarted; the END_REPLICATION_EVENT has been fired.

ENDED - Enum constant in enum class nl.tudelft.simulation.dsol.simulators.RunState

The replication has ended, and the simulator cannot be restarted.

endExperiment() - Method in class nl.tudelft.simulation.dsol.experiment.Experiment

Fire the end Experiment event.

ENDING - Enum constant in enum class nl.tudelft.simulation.dsol.simulators.ReplicationState

The replication has ended, but the run() thread is still running; the END_REPLICATION_EVENT has not yet been fired.

endReplication() - Method in class nl.tudelft.simulation.dsol.experiment.Experiment

Create or update summary statistics for the experiment based on the statistics of the just completed replication.

endReplication() - Method in class nl.tudelft.simulation.dsol.simulators.DevsSimulator

endReplication() - Method in class nl.tudelft.simulation.dsol.simulators.Simulator

endReplication() - Method in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

End the replication before the official ending time.

endReplication() - Method in class nl.tudelft.simulation.dsol.statistics.SimPersistent

Register the last observed value at the end of the replication to complete the persistent.

equals(Object) - Method in class nl.tudelft.simulation.dsol.experiment.ExperimentRunControl

equals(Object) - Method in class nl.tudelft.simulation.dsol.experiment.RunControl

equals(Object) - Method in class nl.tudelft.simulation.jstats.distributions.empirical.AbstractEmpiricalDistribution

equals(Object) - Method in class nl.tudelft.simulation.jstats.distributions.empirical.DistributionEntry

equation - Variable in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator

the equation to integrate.

erf(double) - Static method in class nl.tudelft.simulation.jstats.math.ProbMath

Approximates erf(z) using a Taylor series.
The Taylor series for erf(z) for abs(z) < 0.5 that is used is:
erf(z) = (exp(-z²) / √π) Σ [ 2z^{2n + 1} / (2n + 1)!!]

erfInv(double) - Static method in class nl.tudelft.simulation.jstats.math.ProbMath

Approximates erf^-1(p) based on http://www.naic.edu/~jeffh/inverse_cerf.c code.

Erlang() - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuousSelection.Erlang

Construct the input for the Erlang distribution.

error - Variable in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator

the calculated error of the last step.

ErrorStrategy - Enum Class in nl.tudelft.simulation.dsol.simulators

ErrorStrategy indicates what to do when there is an error in the execution of the simulation.

Euler - Class in nl.tudelft.simulation.jstats.ode.integrators

The Euler numerical estimator as described in https://mathworld.wolfram.com/EulerForwardMethod.html

Euler(double, DifferentialEquationInterface) - Constructor for class nl.tudelft.simulation.jstats.ode.integrators.Euler

constructs a new Euler.

EULER - Enum constant in enum class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegratorType

Euler's integration.

eventList - Variable in class nl.tudelft.simulation.dsol.simulators.DevsSimulator

eventList represents the future event list.

EVENTLIST_CHANCED_EVENT - Static variable in class nl.tudelft.simulation.dsol.eventlists.TableModelEventList

The EVENTLIST_CHANGED_EVENT.

EVENTLIST_CHANGED_EVENT - Static variable in interface nl.tudelft.simulation.dsol.simulators.DevsSimulatorInterface

The EVENTLIST_CHANGED_EVENT is fired when the eventList is changed.

EventListInterface<T extends Number & Comparable<T>> - Interface in nl.tudelft.simulation.dsol.eventlists

The EventListInterface defines the required methods for discrete event lists.

EventListPriorityQueue<T extends Number & Comparable<T>> - Class in nl.tudelft.simulation.dsol.eventlists

A RedBlackTree implementation of the eventlistInterface.

EventListPriorityQueue() - Constructor for class nl.tudelft.simulation.dsol.eventlists.EventListPriorityQueue

Constructs a new RedBlackTree.

executable - Variable in class nl.tudelft.simulation.dsol.formalisms.eventscheduling.LambdaSimEvent

executable is the lambda expression tghat takes care of the state change.

Executable - Interface in nl.tudelft.simulation.dsol.formalisms.eventscheduling

Executable lambda function for event scheduling.

execute() - Method in class nl.tudelft.simulation.dsol.formalisms.eventscheduling.AbstractSimEvent

execute() - Method in interface nl.tudelft.simulation.dsol.formalisms.eventscheduling.Executable

Execute the event.

execute() - Method in class nl.tudelft.simulation.dsol.formalisms.eventscheduling.LambdaSimEvent

execute() - Method in class nl.tudelft.simulation.dsol.formalisms.eventscheduling.SimEvent

execute() - Method in interface nl.tudelft.simulation.dsol.formalisms.eventscheduling.SimEventInterface

Executes the simEvent.

Experiment<T extends Number & Comparable<T>,S extends SimulatorInterface<T>> - Class in nl.tudelft.simulation.dsol.experiment

The Experiment specifies the parameters for a number of simulation replications, and can execute a series of replications.

Experiment(String, S, DsolModel<T, ? extends S>, T, T, T, int) - Constructor for class nl.tudelft.simulation.dsol.experiment.Experiment

Construct a new Experiment.

Experiment(S, DsolModel<T, ? extends S>, ExperimentRunControl<T>) - Constructor for class nl.tudelft.simulation.dsol.experiment.Experiment

Construct a new Experiment, using a RunControl to store the run control information.

Experiment.ExperimentThread - Class in nl.tudelft.simulation.dsol.experiment

The ExperimentRunner job.

ExperimentReplication<T extends Number & Comparable<T>,S extends SimulatorInterface<T>> - Class in nl.tudelft.simulation.dsol.experiment

A single replication belonging to an Experiment.

ExperimentReplication(String, T, T, T, Experiment<T, S>, int) - Constructor for class nl.tudelft.simulation.dsol.experiment.ExperimentReplication

Construct a replication to be used in an experiment.

ExperimentReplication(RunControl<T>, Experiment<T, S>, int) - Constructor for class nl.tudelft.simulation.dsol.experiment.ExperimentReplication

Construct a replication to be used in an experiment, using a RunControl to store the run information.

ExperimentRunControl<T extends Number & Comparable<T>> - Class in nl.tudelft.simulation.dsol.experiment

ExperimentRunControl.java.

ExperimentRunControl(String, T, T, T, int) - Constructor for class nl.tudelft.simulation.dsol.experiment.ExperimentRunControl

Construct an object with off-line run control information for an experiment.

ExperimentThread(Experiment<?, ?>) - Constructor for class nl.tudelft.simulation.dsol.experiment.Experiment.ExperimentThread

Construct the ExperimentRunner with a pointer to the Experiment.

Exponential() - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuousSelection.Exponential

Construct the input for the Exponential distribution.

F

fac(int) - Static method in class nl.tudelft.simulation.jstats.math.ProbMath

Compute n factorial as a long. fac(n) = n * (n-1) * (n-2) * ... 2 * 1.

fac(long) - Static method in class nl.tudelft.simulation.jstats.math.ProbMath

Compute n factorial as a long. fac(n) = n * (n-1) * (n-2) * ... 2 * 1.

factorial(int) - Static method in class nl.tudelft.simulation.jstats.math.ProbMath

Compute n factorial as a double. fac(n) = n * (n-1) * (n-2) * ... 2 * 1.

factorial(long) - Static method in class nl.tudelft.simulation.jstats.math.ProbMath

Compute n factorial as a double. fac(n) = n * (n-1) * (n-2) * ... 2 * 1.

FACTORIAL_DOUBLE - Static variable in class nl.tudelft.simulation.jstats.math.ProbMath

stored values of n!

FACTORIAL_LONG - Static variable in class nl.tudelft.simulation.jstats.math.ProbMath

stored values of n!

filter(Object) - Method in class nl.tudelft.simulation.jstats.filters.MaxDiffFilter

filters based on the maximum difference.

filter(Object) - Method in class nl.tudelft.simulation.jstats.filters.SnippetFilter

fireTimedEvent(EventType) - Method in class nl.tudelft.simulation.dsol.simulators.Simulator

fireTimedEvent method to be called for a no-payload TimedEvent.

first() - Method in interface nl.tudelft.simulation.dsol.eventlists.EventListInterface

Returns the first event (lowest time / priority) of the event list.

first() - Method in class nl.tudelft.simulation.dsol.eventlists.EventListPriorityQueue

first() - Method in class nl.tudelft.simulation.dsol.eventlists.RedBlackTree

format(T) - Static method in class nl.tudelft.simulation.dsol.simtime.SimTime

Return a formatted simulation time.

FUNCTION_CHANGED_EVENT - Variable in class nl.tudelft.simulation.dsol.formalisms.dess.DifferentialEquation

FUNCTION_CHANGED_EVENT is fired on function changes.

G

gamma(double) - Static method in class nl.tudelft.simulation.jstats.math.ProbMath

Calculates gamma(x).

Gamma() - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuousSelection.Gamma

Construct the input for the Gamma distribution.

gammaln(double) - Static method in class nl.tudelft.simulation.jstats.math.ProbMath

Calculates ln(gamma(x)).

Geometric() - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistDiscreteSelection.Geometric

Construct the input for the Geometric distribution.

get(String) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.AbstractInputParameterMap

Gets an input parameter from this map of input parameters.

getAbsoluteExecutionTime() - Method in class nl.tudelft.simulation.dsol.formalisms.eventscheduling.AbstractSimEvent

getAbsoluteExecutionTime() - Method in interface nl.tudelft.simulation.dsol.formalisms.eventscheduling.SimEventInterface

Return the scheduled absolute execution time of a simulation event.

getAlpha() - Method in class nl.tudelft.simulation.jstats.distributions.DistPearson5

Return the shape parameter α of the distribution.

getAlpha() - Method in class nl.tudelft.simulation.jstats.distributions.DistWeibull

Return the shape parameter α.

getAlpha1() - Method in class nl.tudelft.simulation.jstats.distributions.DistBeta

Return the first shape parameter α₁ for the distribution.

getAlpha1() - Method in class nl.tudelft.simulation.jstats.distributions.DistPearson6

Return the first shape parameter α1.

getAlpha2() - Method in class nl.tudelft.simulation.jstats.distributions.DistBeta

Return the second shape parameter α₂for the distribution.

getAlpha2() - Method in class nl.tudelft.simulation.jstats.distributions.DistPearson6

Return the second shape parameter α2.

getAnimationDelay() - Method in interface nl.tudelft.simulation.dsol.simulators.AnimatorInterface

returns the animation delay in milliseconds between each consecutive animation update.

getAnimationDelay() - Method in class nl.tudelft.simulation.dsol.simulators.DevDessAnimator

getAnimationDelay() - Method in class nl.tudelft.simulation.dsol.simulators.DevsAnimator

getArgs() - Method in class nl.tudelft.simulation.dsol.formalisms.eventscheduling.SimEvent

getBeta() - Method in class nl.tudelft.simulation.jstats.distributions.DistPearson5

Return the scale parameter β of the distribution.

getBeta() - Method in class nl.tudelft.simulation.jstats.distributions.DistPearson6

Return the scale parameter β.

getBeta() - Method in class nl.tudelft.simulation.jstats.distributions.DistWeibull

Return the scale parameter β.

getCalculatedValue() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.AbstractInputParameterTypedMap

getCalculatedValue() - Method in interface nl.tudelft.simulation.dsol.model.inputparameters.InputParameter

Retrieve the calculated value of the input parameter.

getCalculatedValue() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterBoolean

getCalculatedValue() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuous

getCalculatedValue() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistDiscrete

getCalculatedValue() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDouble

getCalculatedValue() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterFloat

getCalculatedValue() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterInteger

getCalculatedValue() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterLocalDateTime

getCalculatedValue() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterLong

getCalculatedValue() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterMap

getCalculatedValue() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterSelectionList

getCalculatedValue() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterSelectionMap

getCalculatedValue() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterString

getCeilingEntry(double) - Method in class nl.tudelft.simulation.jstats.distributions.empirical.AbstractEmpiricalDistribution

getCeilingEntry(double) - Method in interface nl.tudelft.simulation.jstats.distributions.empirical.EmpiricalDistributionInterface

Return the cumulative probability and number above or at the given probability, or null when the cumulative probability is larger than the highest cumulative probability (1.0).

getCeilingEntryForValue(Number) - Method in class nl.tudelft.simulation.jstats.distributions.empirical.AbstractEmpiricalDistribution

getCeilingEntryForValue(Number) - Method in interface nl.tudelft.simulation.jstats.distributions.empirical.EmpiricalDistributionInterface

Return the cumulative probability and number above or at the given value, or null when the value is larger than the highest value in the distribution.

getConstant() - Method in class nl.tudelft.simulation.jstats.distributions.DistConstant

Return the constant.

getConstant() - Method in class nl.tudelft.simulation.jstats.distributions.DistDiscreteConstant

Return the constant.

getContext() - Method in class nl.tudelft.simulation.dsol.experiment.Experiment

getContext() - Method in class nl.tudelft.simulation.dsol.experiment.Replication

getCriterion() - Method in class nl.tudelft.simulation.jstats.filters.MaxDiffFilter

getCriterion() - Method in class nl.tudelft.simulation.jstats.filters.SnippetFilter

getCumulativeProbabilities() - Method in class nl.tudelft.simulation.jstats.distributions.empirical.AbstractEmpiricalDistribution

getCumulativeProbabilities() - Method in interface nl.tudelft.simulation.jstats.distributions.empirical.EmpiricalDistributionInterface

Returns the cumulative probabilities as a list.

getCumulativeProbability() - Method in class nl.tudelft.simulation.jstats.distributions.empirical.DistributionEntry

Returns the cumulative probability corresponding to this entry.

getCumulativeProbability(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistLogNormal

getCumulativeProbability(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistLogNormalTrunc

getCumulativeProbability(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistNormal

returns the cumulative probability of the x-value.

getCumulativeProbability(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistNormalTrunc

returns the cumulative probability of the x-value.

getCurrentReplication() - Method in class nl.tudelft.simulation.dsol.experiment.Experiment

Return the current (running or finished) replication.

getCurrentReplicationNumber() - Method in class nl.tudelft.simulation.dsol.experiment.Experiment

Return the current replication number, which is -1 if the experiment has not yet started.

getDefaultLogLevel() - Method in enum class nl.tudelft.simulation.dsol.simulators.ErrorStrategy

Return the default log level for the ErrorStrategy (can be overridden in the Simulator) .

getDefaultStream() - Method in interface nl.tudelft.simulation.dsol.model.DsolModel

Return the default streams of this model.

getDefaultTypedValue() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.AbstractInputParameterTypedMap

Return the default value in the corresponding type.

getDefaultValue() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.AbstractInputParameter

getDefaultValue() - Method in interface nl.tudelft.simulation.dsol.model.inputparameters.InputParameter

Retrieve the default value of the input parameter.

getDescription() - Method in class nl.tudelft.simulation.dsol.experiment.Experiment

getDescription() - Method in class nl.tudelft.simulation.dsol.experiment.Replication

getDescription() - Method in class nl.tudelft.simulation.dsol.experiment.RunControl

getDescription() - Method in interface nl.tudelft.simulation.dsol.experiment.Treatment

Return the description of this replication.

getDescription() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.AbstractInputParameter

getDescription() - Method in interface nl.tudelft.simulation.dsol.model.inputparameters.InputParameter

Return a description of the input parameter (may use HTML markup).

getDescription() - Method in interface nl.tudelft.simulation.dsol.statistics.SimulationStatistic

Return the description of this statistic.

getDisplayPriority() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.AbstractInputParameter

getDisplayPriority() - Method in interface nl.tudelft.simulation.dsol.model.inputparameters.InputParameter

Display priority determines the order in which properties should be displayed.

getDist() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuousSelection

Return the distribution function corresponding to the chosen distribution and parameters.

getDist() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistDiscreteSelection

Return the distribution function corresponding to the chosen distribution and parameters.

getDist() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterMapDistContinuous

Return the previously calculated typed value based on the components.

getDist() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterMapDistDiscrete

Return the previously calculated typed value based on the components.

getDistOptions() - Static method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuousSelection

getDistOptions() - Static method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistDiscreteSelection

getDoubleParameter() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDoubleScalar

getDY(int) - Method in class nl.tudelft.simulation.jstats.ode.integrators.CachingNumericalIntegrator

get a cached dY-value.

getEndTime() - Method in class nl.tudelft.simulation.dsol.experiment.Experiment

getEndTime() - Method in class nl.tudelft.simulation.dsol.experiment.Replication

getEndTime() - Method in class nl.tudelft.simulation.dsol.experiment.RunControl

getEndTime() - Method in interface nl.tudelft.simulation.dsol.experiment.Treatment

Return the absolute end time of the simulation.

getError() - Method in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator

getErrorLogLevel() - Method in class nl.tudelft.simulation.dsol.simulators.Simulator

getErrorLogLevel() - Method in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

Return the current error log level to use in the logger for simulation execution errors.

getErrorStrategy() - Method in class nl.tudelft.simulation.dsol.simulators.Simulator

getErrorStrategy() - Method in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

Return the current error handling strategy for an execution error for a SimEvent.

getEventList() - Method in class nl.tudelft.simulation.dsol.simulators.DevsSimulator

getEventList() - Method in interface nl.tudelft.simulation.dsol.simulators.DevsSimulatorInterface

returns the eventlist of the simulator.

getExperiment() - Method in class nl.tudelft.simulation.dsol.experiment.ExperimentReplication

Return the experiment to which this replication belongs.

getExtendedKey() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.AbstractInputParameter

getExtendedKey() - Method in interface nl.tudelft.simulation.dsol.model.inputparameters.InputParameter

Retrieve the extended key of this AbstractInputParameter including parents with a dot-notation.

getFallbackStreamUpdater() - Method in class nl.tudelft.simulation.dsol.experiment.StreamSeedUpdater

Return the fallback stream updater in case the stream or the replication is not in the seed map.

getFloatParameter() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterFloatScalar

getFloorEntry(double) - Method in class nl.tudelft.simulation.jstats.distributions.empirical.AbstractEmpiricalDistribution

getFloorEntry(double) - Method in interface nl.tudelft.simulation.jstats.distributions.empirical.EmpiricalDistributionInterface

Return the cumulative probability and number below or at the given probability, or null when the cumulative probability is smaller than the lowest cumulative probability.

getFloorEntryForValue(Number) - Method in class nl.tudelft.simulation.jstats.distributions.empirical.AbstractEmpiricalDistribution

getFloorEntryForValue(Number) - Method in interface nl.tudelft.simulation.jstats.distributions.empirical.EmpiricalDistributionInterface

Return the cumulative probability and number below or at the given value, or null when the value is smaller than the lowest value in the distribution.

getFormat() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDouble

getFormat() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterFloat

getFormat() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterInteger

getFormat() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterLong

getHighestValue() - Method in class nl.tudelft.simulation.jstats.distributions.empirical.AbstractEmpiricalDistribution

getHighestValue() - Method in interface nl.tudelft.simulation.jstats.distributions.empirical.EmpiricalDistributionInterface

Return the highest value that this empirical distribution can return.

getId() - Method in class nl.tudelft.simulation.dsol.experiment.Experiment

getId() - Method in class nl.tudelft.simulation.dsol.experiment.ExperimentReplication

getId() - Method in class nl.tudelft.simulation.dsol.experiment.Replication

getId() - Method in class nl.tudelft.simulation.dsol.experiment.RunControl

getId() - Method in interface nl.tudelft.simulation.dsol.experiment.Treatment

Return the id of this replication.

getId() - Method in class nl.tudelft.simulation.dsol.formalisms.eventscheduling.AbstractSimEvent

getId() - Method in interface nl.tudelft.simulation.dsol.formalisms.eventscheduling.SimEventInterface

Return the event's id to act as a tie breaker when both the time and the priority are equal.

getIndex() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterSelectionList

Return the index of the current value.

getIndex(T) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterSelectionList

Return the index of the given value in the options.

getInputParameter(String) - Method in class nl.tudelft.simulation.dsol.model.AbstractDsolModel

Retrieve the value of an input parameter from the map of input parameters, based on a key.

getInputParameterBoolean(String) - Method in interface nl.tudelft.simulation.dsol.model.DsolModel

Get the boolean value for an input parameter.

getInputParameterDouble(String) - Method in interface nl.tudelft.simulation.dsol.model.DsolModel

Get the double value for an input parameter.

getInputParameterDoubleScalar(String, Class<V>) - Method in interface nl.tudelft.simulation.dsol.model.DsolModel

Get the double scalar value for an input parameter.

getInputParameterFloat(String) - Method in interface nl.tudelft.simulation.dsol.model.DsolModel

Get the float value for an input parameter.

getInputParameterFloatScalar(String, Class<V>) - Method in interface nl.tudelft.simulation.dsol.model.DsolModel

Get the float scalar value for an input parameter.

getInputParameterInteger(String) - Method in interface nl.tudelft.simulation.dsol.model.DsolModel

Get the int value for an input parameter.

getInputParameterLocalDateTime(String) - Method in interface nl.tudelft.simulation.dsol.model.DsolModel

Get the LocalDateTime value for an input parameter.

getInputParameterLong(String) - Method in interface nl.tudelft.simulation.dsol.model.DsolModel

Get the long value for an input parameter.

getInputParameterMap() - Method in class nl.tudelft.simulation.dsol.model.AbstractDsolModel

getInputParameterMap() - Method in interface nl.tudelft.simulation.dsol.model.DsolModel

Get the input parameters for this model.

getInputParameterString(String) - Method in interface nl.tudelft.simulation.dsol.model.DsolModel

Get the String value for an input parameter.

getInputParameterUnit(String, Class<U>) - Method in interface nl.tudelft.simulation.dsol.model.DsolModel

Get the unit value for an input parameter.

getInstance(double, DifferentialEquationInterface) - Method in enum class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegratorType

Get an instance of the integrator.

getIntegrator() - Method in class nl.tudelft.simulation.jstats.ode.DifferentialEquation

getIntegratorClass() - Method in enum class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegratorType

Get the integrator class belonging to the name.

getInverseCumulativeProbability(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistLogNormal

getInverseCumulativeProbability(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistLogNormalTrunc

getInverseCumulativeProbability(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistNormal

returns the x-value of the given cumulativePropability.

getInverseCumulativeProbability(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistNormalTrunc

returns the x-value of the given cumulativePropability.

getK() - Method in class nl.tudelft.simulation.jstats.distributions.DistErlang

getKey() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.AbstractInputParameter

getKey() - Method in interface nl.tudelft.simulation.dsol.model.inputparameters.InputParameter

Retrieve the key of this InputParameter.

getKey() - Method in class nl.tudelft.simulation.dsol.statistics.SimCounter

getKey() - Method in class nl.tudelft.simulation.dsol.statistics.SimPersistent

getKey() - Method in class nl.tudelft.simulation.dsol.statistics.SimTally

getKey() - Method in interface nl.tudelft.simulation.dsol.statistics.SimulationStatistic

Return the unique key of this statistic by which it can be retrieved.

getKeyforValue() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterSelectionMap

Return the index of the current value.

getKeyforValue(T) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterSelectionMap

Return the index of the given value in the options.

getLambda() - Method in class nl.tudelft.simulation.jstats.distributions.DistPoisson

getLocation() - Method in class nl.tudelft.simulation.dsol.animation.Editable

getLowestValue() - Method in class nl.tudelft.simulation.jstats.distributions.empirical.AbstractEmpiricalDistribution

getLowestValue() - Method in interface nl.tudelft.simulation.jstats.distributions.empirical.EmpiricalDistributionInterface

Return the lowest value that this empirical distribution can return.

getMax() - Method in class nl.tudelft.simulation.jstats.distributions.DistDiscreteUniform

getMax() - Method in class nl.tudelft.simulation.jstats.distributions.DistLogNormalTrunc

getMax() - Method in class nl.tudelft.simulation.jstats.distributions.DistNormalTrunc

getMax() - Method in class nl.tudelft.simulation.jstats.distributions.DistTriangular

Return the maximum value of the distribution.

getMax() - Method in class nl.tudelft.simulation.jstats.distributions.DistUniform

Return the maximum value.

getMaximumValue() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDouble

getMaximumValue() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterFloat

getMaximumValue() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterInteger

getMaximumValue() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterLong

getMaximumValueSI() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDoubleScalar

getMaximumValueSI() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterFloatScalar

getMean() - Method in class nl.tudelft.simulation.jstats.distributions.DistExponential

getMethod() - Method in class nl.tudelft.simulation.dsol.formalisms.eventscheduling.SimEvent

getMin() - Method in class nl.tudelft.simulation.jstats.distributions.DistDiscreteUniform

getMin() - Method in class nl.tudelft.simulation.jstats.distributions.DistLogNormalTrunc

getMin() - Method in class nl.tudelft.simulation.jstats.distributions.DistNormalTrunc

getMin() - Method in class nl.tudelft.simulation.jstats.distributions.DistTriangular

Return the minimum value of the distribution.

getMin() - Method in class nl.tudelft.simulation.jstats.distributions.DistUniform

Return the minimum value.

getMinimumValue() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDouble

getMinimumValue() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterFloat

getMinimumValue() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterInteger

getMinimumValue() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterLong

getMinimumValueSI() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDoubleScalar

getMinimumValueSI() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterFloatScalar

getMode() - Method in class nl.tudelft.simulation.jstats.distributions.DistTriangular

Return the mode of the distribution.

getModel() - Method in class nl.tudelft.simulation.dsol.experiment.Experiment

Return the model.

getModel() - Method in class nl.tudelft.simulation.dsol.simulators.Simulator

getModel() - Method in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

Returns the currently executed model, or null when the initialize method has not yet been called.

getMu() - Method in class nl.tudelft.simulation.jstats.distributions.DistNormal

getMu() - Method in class nl.tudelft.simulation.jstats.distributions.DistNormalTrunc

getN() - Method in interface nl.tudelft.simulation.dsol.statistics.SimulationStatistic

Return the number of samples for this statistic.

getN() - Method in class nl.tudelft.simulation.jstats.distributions.DistBinomial

Return the number of independent experiments for the Binomial distribution.

getNextEntry(double) - Method in class nl.tudelft.simulation.jstats.distributions.empirical.AbstractEmpiricalDistribution

getNextEntry(double) - Method in interface nl.tudelft.simulation.jstats.distributions.empirical.EmpiricalDistributionInterface

Return the cumulative probability and number that follows in the sequence with respect to the given probability, or null when the cumulative probability is larger than the highest cumulative probability.

getNumberOfReplications() - Method in class nl.tudelft.simulation.dsol.experiment.Experiment

Return the total number of replications to execute.

getNumberOfReplications() - Method in class nl.tudelft.simulation.dsol.experiment.ExperimentRunControl

Return the total number of replications to execute.

getOptions() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterSelectionList

getOptions() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterSelectionMap

getOriginalSeed() - Method in class nl.tudelft.simulation.jstats.streams.Java2Random

getOriginalSeed() - Method in class nl.tudelft.simulation.jstats.streams.RandomNumberGenerator

getOriginalSeed() - Method in interface nl.tudelft.simulation.jstats.streams.StreamInterface

Return the original seed of the generator with which it has been first initialized.

getOutputStatistics() - Method in class nl.tudelft.simulation.dsol.model.AbstractDsolModel

getOutputStatistics() - Method in interface nl.tudelft.simulation.dsol.model.DsolModel

Get the output statistics for this model.

getP() - Method in class nl.tudelft.simulation.jstats.distributions.DistBernoulli

Return p, the probability for success (X=1), where failure is associated with X=0.

getP() - Method in class nl.tudelft.simulation.jstats.distributions.DistBinomial

Return the probability of success for each individual trial in the binomial distribution.

getP() - Method in class nl.tudelft.simulation.jstats.distributions.DistGeometric

Return the probability of success for each individual trial.

getP() - Method in class nl.tudelft.simulation.jstats.distributions.DistNegBinomial

Return the probability of success for each individual trial in the negative binomial distribution.

getParent() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.AbstractInputParameter

getParent() - Method in interface nl.tudelft.simulation.dsol.model.inputparameters.InputParameter

Retrieve the parent input parameter.

getPrevEntry(double) - Method in class nl.tudelft.simulation.jstats.distributions.empirical.AbstractEmpiricalDistribution

getPrevEntry(double) - Method in interface nl.tudelft.simulation.jstats.distributions.empirical.EmpiricalDistributionInterface

Return the cumulative probability and number that precedes in the sequence with respect to the given probability, or null when the cumulative probability is smaller than the lowest cumulative probability.

getPriority() - Method in class nl.tudelft.simulation.dsol.formalisms.eventscheduling.AbstractSimEvent

getPriority() - Method in interface nl.tudelft.simulation.dsol.formalisms.eventscheduling.SimEventInterface

Return the priority of the event to act as a tie breaker when two events are scheduled at the same time.

getProbabilityDensity(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistBeta

getProbabilityDensity(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistConstant

getProbabilityDensity(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistContinuous

returns the probability density value of a value x.

getProbabilityDensity(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistEmpiricalDiscreteDouble

getProbabilityDensity(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistEmpiricalInterpolated

getProbabilityDensity(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistErlang

getProbabilityDensity(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistExponential

getProbabilityDensity(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistGamma

getProbabilityDensity(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistLogNormal

getProbabilityDensity(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistLogNormalTrunc

getProbabilityDensity(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistNormal

getProbabilityDensity(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistNormalTrunc

getProbabilityDensity(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistPearson5

getProbabilityDensity(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistPearson6

getProbabilityDensity(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistTriangular

getProbabilityDensity(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistUniform

getProbabilityDensity(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistWeibull

getRelativeBounds() - Method in class nl.tudelft.simulation.dsol.animation.Editable

getReplication() - Method in class nl.tudelft.simulation.dsol.simulators.Simulator

getReplication() - Method in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

Returns the currently executed replication, or null when the initialize method has not yet been called.

getReplicationNr() - Method in class nl.tudelft.simulation.dsol.experiment.ExperimentReplication

Return the replication number within the experiment.

getReplicationState() - Method in class nl.tudelft.simulation.dsol.simulators.Simulator

getReplicationState() - Method in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

Get the replication state of the simulator.

getResetApplicationExecutable() - Method in class nl.tudelft.simulation.dsol.model.AbstractDsolModel

getResetApplicationExecutable() - Method in interface nl.tudelft.simulation.dsol.model.DsolModel

Get the executable code for resetting the application at a 'reset' command in the GUI.

getRunControl() - Method in class nl.tudelft.simulation.dsol.experiment.Experiment

Return the RunControl belonging to the replication.

getRunControl() - Method in class nl.tudelft.simulation.dsol.experiment.Replication

Return the RunControl belonging to the replication.

getRunLength() - Method in interface nl.tudelft.simulation.dsol.experiment.Treatment

Return the run length of this replication in relative units.

getRunState() - Method in class nl.tudelft.simulation.dsol.simulators.Simulator

getRunState() - Method in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

Get the run state of the simulator.

getS() - Method in class nl.tudelft.simulation.jstats.distributions.DistNegBinomial

Return the number of successes in the sequence of (x+n) trials, where trial (x+n) is a success.

getScale() - Method in class nl.tudelft.simulation.jstats.distributions.DistErlang

getScale() - Method in class nl.tudelft.simulation.jstats.distributions.DistGamma

getSeed() - Method in class nl.tudelft.simulation.jstats.streams.Java2Random

getSeed() - Method in class nl.tudelft.simulation.jstats.streams.RandomNumberGenerator

getSeed() - Method in interface nl.tudelft.simulation.jstats.streams.StreamInterface

Return the seed of the generator.

getSeedMap(String) - Method in class nl.tudelft.simulation.dsol.experiment.StreamSeedInformation

Return a specific seed map of a stream, based on a stream id, or null when the seed map is not present.

getShape() - Method in class nl.tudelft.simulation.jstats.distributions.DistGamma

getShortName() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.AbstractInputParameter

getShortName() - Method in interface nl.tudelft.simulation.dsol.model.inputparameters.InputParameter

Return a short description of the input parameter.

getSigma() - Method in class nl.tudelft.simulation.jstats.distributions.DistNormal

getSigma() - Method in class nl.tudelft.simulation.jstats.distributions.DistNormalTrunc

getSimLogger() - Method in class nl.tudelft.simulation.dsol.simulators.Simulator

getSimLogger() - Method in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

Return the logger helper class that provides the simulation time and time formatting for Cat.DSOL.

getSimulator() - Method in class nl.tudelft.simulation.dsol.experiment.Experiment

Return the simulator.

getSimulator() - Method in class nl.tudelft.simulation.dsol.model.AbstractDsolModel

getSimulator() - Method in interface nl.tudelft.simulation.dsol.model.DsolModel

Return the simulator for this model.

getSimulator() - Method in class nl.tudelft.simulation.dsol.statistics.SimCounter

getSimulator() - Method in class nl.tudelft.simulation.dsol.statistics.SimPersistent

getSimulator() - Method in class nl.tudelft.simulation.dsol.statistics.SimTally

getSimulator() - Method in interface nl.tudelft.simulation.dsol.statistics.SimulationStatistic

Return the simulator.

getSimulatorClockTime() - Method in interface nl.tudelft.simulation.dsol.simulators.clock.ClockDevsSimulatorInterface

Return the simulator time as a 'ClockTime' object rather than a 'Duration' object.

getSimulatorTime() - Method in class nl.tudelft.simulation.dsol.simulators.Simulator

getSimulatorTime() - Method in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

Returns the absolute simulator time.

getSimulatorTimeAsTime() - Method in interface nl.tudelft.simulation.dsol.simulators.time.TimeDevsSimulatorInterface

Return the simulator time as a 'Time' object rather than a 'Duration' object.

getSortedSet() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.AbstractInputParameterMap

Return a sorted set of sub-parameters of this InputParameterMap.

getSpeedFactor() - Method in class nl.tudelft.simulation.dsol.simulators.DevsRealTimeAnimator

getSpeedFactor() - Method in interface nl.tudelft.simulation.dsol.simulators.RealTime

Return the speed factor.

getStartClockTime() - Method in class nl.tudelft.simulation.dsol.simulators.clock.ClockDevDessAnimator

getStartClockTime() - Method in class nl.tudelft.simulation.dsol.simulators.clock.ClockDevDessSimulator

getStartClockTime() - Method in class nl.tudelft.simulation.dsol.simulators.clock.ClockDevsAnimator

getStartClockTime() - Method in class nl.tudelft.simulation.dsol.simulators.clock.ClockDevsRealTimeAnimator

getStartClockTime() - Method in class nl.tudelft.simulation.dsol.simulators.clock.ClockDevsSimulator

getStartClockTime() - Method in interface nl.tudelft.simulation.dsol.simulators.clock.ClockDevsSimulatorInterface

Return the start time of the simulator as a 'calendar-aware' ClockTime.

getStartedReplications() - Method in class nl.tudelft.simulation.dsol.experiment.Experiment

Return the list of started replications.

getStartTime() - Method in class nl.tudelft.simulation.dsol.experiment.Experiment

getStartTime() - Method in class nl.tudelft.simulation.dsol.experiment.Replication

getStartTime() - Method in class nl.tudelft.simulation.dsol.experiment.RunControl

getStartTime() - Method in interface nl.tudelft.simulation.dsol.experiment.Treatment

Return the absolute start time of the simulation.

getStartTime() - Method in class nl.tudelft.simulation.dsol.simulators.time.TimeDevDessAnimator

getStartTime() - Method in class nl.tudelft.simulation.dsol.simulators.time.TimeDevDessSimulator

getStartTime() - Method in class nl.tudelft.simulation.dsol.simulators.time.TimeDevsAnimator

getStartTime() - Method in class nl.tudelft.simulation.dsol.simulators.time.TimeDevsRealTimeAnimator

getStartTime() - Method in class nl.tudelft.simulation.dsol.simulators.time.TimeDevsSimulator

getStartTime() - Method in interface nl.tudelft.simulation.dsol.simulators.time.TimeDevsSimulatorInterface

Return the start time of the simulator as a 'calendar-aware' Time.

getStepSize() - Method in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator

getStoppingCondition() - Method in class nl.tudelft.simulation.dsol.experiment.Experiment

getStoppingCondition() - Method in class nl.tudelft.simulation.dsol.experiment.Replication

getStoppingCondition() - Method in class nl.tudelft.simulation.dsol.experiment.RunControl

getStoppingCondition() - Method in interface nl.tudelft.simulation.dsol.experiment.Treatment

Return the stopping condition, or null when not defined.

getStream() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuous

getStream() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuousSelection

getStream() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistDiscrete

getStream() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistDiscreteSelection

getStream() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterMapDistContinuous

getStream() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterMapDistDiscrete

getStream() - Method in class nl.tudelft.simulation.jstats.distributions.Dist

Return the random number stream.

getStream(String) - Method in class nl.tudelft.simulation.dsol.experiment.StreamInformation

Return a specific stream, based on a stream id, or null when no stream with that id is present.

getStream(String) - Method in interface nl.tudelft.simulation.dsol.model.DsolModel

Return a specific stream of this model, based on a stream id, or null when the stream could not be found.

getStreamInformation() - Method in class nl.tudelft.simulation.dsol.model.AbstractDsolModel

getStreamInformation() - Method in interface nl.tudelft.simulation.dsol.model.DsolModel

Return the available streams of the model stored in a StreamInformation object.

getStreams() - Method in class nl.tudelft.simulation.dsol.experiment.StreamInformation

Return the streams of this model, mapping stream ids to streams.

getStreams() - Method in interface nl.tudelft.simulation.dsol.model.DsolModel

Return the streams of this model, mapping stream ids to streams.

getStreamSeedMap() - Method in class nl.tudelft.simulation.dsol.experiment.StreamSeedInformation

Return the available seed maps for all stored streams, mapping stream ids to seed maps.

getStreamSeedMap() - Method in class nl.tudelft.simulation.dsol.experiment.StreamSeedUpdater

Return the available seed maps for all stored streams, mapping stream ids to seed maps.

getStreamUpdater() - Method in class nl.tudelft.simulation.dsol.experiment.Experiment

Return the current stream updater.

getSummaryStatistics() - Method in class nl.tudelft.simulation.dsol.experiment.Experiment

The summary statistics over multiple replications.

getTableModel() - Method in class nl.tudelft.simulation.dsol.eventlists.TableModelEventList

returns the tableModel.

getTarget() - Method in class nl.tudelft.simulation.dsol.formalisms.eventscheduling.SimEvent

getTimeStep() - Method in class nl.tudelft.simulation.dsol.simulators.DessSimulator

getTimeStep() - Method in interface nl.tudelft.simulation.dsol.simulators.DessSimulatorInterface

returns the time step of the DESS simulator.

getTimeStep() - Method in class nl.tudelft.simulation.dsol.simulators.DevDessSimulator

getUnit() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousUnit

Return the unit in which the samples from the wrapped distribution are returned.

getUnitParameter() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDoubleScalar

getUnitParameter() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterFloatScalar

getUpdateMsec() - Method in class nl.tudelft.simulation.dsol.simulators.DevsRealTimeAnimator

getUpdateMsec() - Method in interface nl.tudelft.simulation.dsol.simulators.RealTime

The relative update delay in milliseconds is the step size in wall clock time by which the time is updated between events.

getValue() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.AbstractInputParameter

getValue() - Method in interface nl.tudelft.simulation.dsol.model.inputparameters.InputParameter

Retrieve the current value of the input parameter.

getValue() - Method in class nl.tudelft.simulation.jstats.distributions.empirical.DistributionEntry

Returns the value corresponding to this entry.

getValue() - Method in enum class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegratorType

Returns the value from DSOL-1 before enum was introduced.

getValues() - Method in class nl.tudelft.simulation.jstats.distributions.empirical.AbstractEmpiricalDistribution

getValues() - Method in interface nl.tudelft.simulation.jstats.distributions.empirical.EmpiricalDistributionInterface

Returns the values as a list.

getVertices() - Method in class nl.tudelft.simulation.dsol.animation.Editable

getWarmupPeriod() - Method in interface nl.tudelft.simulation.dsol.experiment.Treatment

Return the warmup period of this replication in relative units.

getWarmupTime() - Method in class nl.tudelft.simulation.dsol.experiment.Experiment

getWarmupTime() - Method in class nl.tudelft.simulation.dsol.experiment.Replication

getWarmupTime() - Method in class nl.tudelft.simulation.dsol.experiment.RunControl

getWarmupTime() - Method in interface nl.tudelft.simulation.dsol.experiment.Treatment

Return the absolute moment when the warmup event will take place.

getWrappedDistribution() - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousUnit

Return the wrapped distribution.

getY(int) - Method in class nl.tudelft.simulation.jstats.ode.integrators.CachingNumericalIntegrator

get a cached Y-value.

Gill - Class in nl.tudelft.simulation.jstats.ode.integrators

The Gill numerical estimator as described in https://mathworld.wolfram.com/GillsMethod.html

Gill(double, DifferentialEquationInterface) - Constructor for class nl.tudelft.simulation.jstats.ode.integrators.Gill

constructs a new Gill integrator.

GILL - Enum constant in enum class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegratorType

Gill's integration.

H

handleSimulationException(Exception) - Method in class nl.tudelft.simulation.dsol.simulators.Simulator

Handle an exception thrown by executing a SimEvent according to the ErrorStrategy.

hashCode() - Method in class nl.tudelft.simulation.dsol.experiment.ExperimentRunControl

hashCode() - Method in class nl.tudelft.simulation.dsol.experiment.RunControl

hashCode() - Method in class nl.tudelft.simulation.jstats.distributions.empirical.AbstractEmpiricalDistribution

hashCode() - Method in class nl.tudelft.simulation.jstats.distributions.empirical.DistributionEntry

haveNextNextGaussian - Variable in class nl.tudelft.simulation.jstats.distributions.DistNormal

haveNextNextGaussian is a helper attribute.

HEADER - Static variable in class nl.tudelft.simulation.dsol.eventlists.TableModelEventList

The tableHeader.

Heun - Class in nl.tudelft.simulation.jstats.ode.integrators

The Heun numerical estimator.

Heun(double, DifferentialEquationInterface) - Constructor for class nl.tudelft.simulation.jstats.ode.integrators.Heun

constructs a new Heun.

HEUN - Enum constant in enum class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegratorType

Heun's integration.

hm() - Method in class nl.tudelft.simulation.dsol.simulators.clock.ClockTime

Format the ClockTime as a hh:mm local time using a 24-hour clock.

hms() - Method in class nl.tudelft.simulation.dsol.simulators.clock.ClockTime

Format the ClockTime as a hh:mm:ss local time using a 24-hour clock.

I

id - Variable in class nl.tudelft.simulation.dsol.formalisms.eventscheduling.AbstractSimEvent

the id used in compare statements.

initialize() - Method in class nl.tudelft.simulation.dsol.statistics.SimCounter

initialize() - Method in class nl.tudelft.simulation.dsol.statistics.SimPersistent

initialize() - Method in class nl.tudelft.simulation.dsol.statistics.SimTally

initialize(double, double[]) - Method in class nl.tudelft.simulation.dsol.formalisms.dess.DifferentialEquation

initialize(double, double[]) - Method in class nl.tudelft.simulation.jstats.ode.DifferentialEquation

initialize(double, double[]) - Method in interface nl.tudelft.simulation.jstats.ode.DifferentialEquationInterface

initializes the differential equation.

initialize(DsolModel<T, ? extends SimulatorInterface<T>>, Replication<T>) - Method in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

Initializes the simulator with a replication for a model.

initialize(DsolModel<T, ? extends SimulatorInterface<T>>, Replication<T>, boolean) - Method in class nl.tudelft.simulation.dsol.simulators.DevsSimulator

initialize(DsolModel<T, ? extends SimulatorInterface<T>>, Replication<T>, boolean) - Method in class nl.tudelft.simulation.dsol.simulators.Simulator

initialize(DsolModel<T, ? extends SimulatorInterface<T>>, Replication<T>, boolean) - Method in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

Initializes the simulator with a replication for a model.

INITIALIZED - Enum constant in enum class nl.tudelft.simulation.dsol.simulators.ReplicationState

The simulator has been initialized with the replication, but it has not been started yet, and the the START_REPLICATION_EVENT has not yet been fired.

INITIALIZED - Enum constant in enum class nl.tudelft.simulation.dsol.simulators.RunState

The replication has started, and the simulator has been initialized, but it has not been started yet.

InputParameter<VT,CT> - Interface in nl.tudelft.simulation.dsol.model.inputparameters

User readable and settable properties.

InputParameterBoolean - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterBoolean.java.

InputParameterBoolean(String, String, String, boolean, double) - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterBoolean

Construct a new InputParameterBoolean.

InputParameterComparator() - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.AbstractInputParameterMap.InputParameterComparator

InputParameterDistContinuous - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterDistContinuous provides a choice for a continuous distribution.

Copyright (c) 2003-2025 Delft University of Technology, Jaffalaan 5, 2628 BX Delft, the Netherlands.

InputParameterDistContinuous(String, String, String, StreamInterface, DistContinuous, double) - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuous

Construct a new InputParameterDistContinuous.

InputParameterDistContinuousSelection - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterDistContinuousSelection takes care of exposing the necessary parameters for each of the continuous distribution functions.

InputParameterDistContinuousSelection(String, String, String, StreamInterface, double) - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuousSelection

InputParameterDistContinuousSelection.Beta - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterDistContinuous.Beta class.

InputParameterDistContinuousSelection.Constant - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterDistContinuous.Constant class.

InputParameterDistContinuousSelection.Erlang - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterDistContinuous.Erlang class.

InputParameterDistContinuousSelection.Exponential - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterDistContinuous.Exponential class.

InputParameterDistContinuousSelection.Gamma - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterDistContinuous.Gamma class.

InputParameterDistContinuousSelection.LogNormal - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterDistContinuous.LogNormal class.

InputParameterDistContinuousSelection.Normal - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterDistContinuous.Normal class.

InputParameterDistContinuousSelection.Pearson5 - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterDistContinuous.Pearson5 class.

InputParameterDistContinuousSelection.Pearson6 - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterDistContinuous.Pearson6 class.

InputParameterDistContinuousSelection.Triangular - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterDistContinuous.Triangular class.

InputParameterDistContinuousSelection.Uniform - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterDistContinuous.Uniform class.

InputParameterDistContinuousSelection.Weibull - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterDistContinuous.Weibull class.

InputParameterDistDiscrete - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterDistDiscrete provides a choice for a discrete distribution.

Copyright (c) 2003-2025 Delft University of Technology, Jaffalaan 5, 2628 BX Delft, the Netherlands.

InputParameterDistDiscrete(String, String, String, StreamInterface, DistDiscrete, double) - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistDiscrete

Construct a new InputParameterDistDiscrete.

InputParameterDistDiscreteSelection - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterDistDiscreteSelection takes care of exposing the necessary parameters for each of the discrete distribution functions.

InputParameterDistDiscreteSelection(String, String, String, StreamInterface, double) - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistDiscreteSelection

InputParameterDistDiscreteSelection.Bernoulli - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterDistDiscrete.Bernoulli class.

InputParameterDistDiscreteSelection.Binomial - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterDistDiscrete.Binomial class.

InputParameterDistDiscreteSelection.DiscreteConstant - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterDistDiscrete.DiscreteConstant class.

InputParameterDistDiscreteSelection.DiscreteUniform - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterDistDiscrete.DiscreteUniform class.

InputParameterDistDiscreteSelection.Geometric - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterDistDiscrete.Geometric class.

InputParameterDistDiscreteSelection.NegBinomial - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterDistDiscrete.NegBinomial class.

InputParameterDistDiscreteSelection.Poisson - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterDistDiscrete.Poisson class.

InputParameterDouble - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterDouble.java.

InputParameterDouble(String, String, String, double, double) - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDouble

Construct a new InputParameterDouble.

InputParameterDouble(String, String, String, double, double, double, boolean, boolean, String, double) - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDouble

Construct a new InputParameterDouble.

InputParameterDoubleScalar<U extends org.djunits.unit.Unit<U>,T extends org.djunits.value.vdouble.scalar.base.DoubleScalar<U,T>> - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterDoubleScalar: double parameter with a unit.

InputParameterDoubleScalar(String, String, String, T, double) - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDoubleScalar

Construct a new InputParameterDoubleScalar.

InputParameterDoubleScalar(String, String, String, T, double, double, boolean, boolean, String, double) - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDoubleScalar

Construct a new InputParameterDoubleScalar.

InputParameterDoubleScalar(String, String, String, T, T, T, boolean, boolean, String, double) - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDoubleScalar

Construct a new InputParameterDoubleScalar.

InputParameterException - Exception in nl.tudelft.simulation.dsol.model.inputparameters

Exception thrown when an operation is attempted that is not compatible with the indicated input parameter.

InputParameterException() - Constructor for exception nl.tudelft.simulation.dsol.model.inputparameters.InputParameterException

Construct a new InputParameterException.

InputParameterException(String) - Constructor for exception nl.tudelft.simulation.dsol.model.inputparameters.InputParameterException

Construct a new InputParameterException.

InputParameterException(String, Throwable) - Constructor for exception nl.tudelft.simulation.dsol.model.inputparameters.InputParameterException

Construct a new InputParameterException.

InputParameterException(String, Throwable, boolean, boolean) - Constructor for exception nl.tudelft.simulation.dsol.model.inputparameters.InputParameterException

Construct a new InputParameterException.

InputParameterException(Throwable) - Constructor for exception nl.tudelft.simulation.dsol.model.inputparameters.InputParameterException

Construct a new InputParameterException.

InputParameterFloat - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterFloat.java.

InputParameterFloat(String, String, String, float, double) - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterFloat

Construct a new InputParameterFloat.

InputParameterFloat(String, String, String, float, float, float, boolean, boolean, String, double) - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterFloat

Construct a new InputParameterFloat.

InputParameterFloatScalar<U extends org.djunits.unit.Unit<U>,T extends org.djunits.value.vfloat.scalar.base.FloatScalar<U,T>> - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterFloatScalar: float parameter with a unit.

InputParameterFloatScalar(String, String, String, T, double) - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterFloatScalar

Construct a new InputParameterFloatScalar.

InputParameterFloatScalar(String, String, String, T, float, float, boolean, boolean, String, double) - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterFloatScalar

Construct a new InputParameterFloatScalar.

InputParameterFloatScalar(String, String, String, T, T, T, boolean, boolean, String, double) - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterFloatScalar

Construct a new InputParameterFloatScalar.

InputParameterInteger - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterInteger.java.

InputParameterInteger(String, String, String, int, double) - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterInteger

Construct a new InputParameterInteger.

InputParameterInteger(String, String, String, int, int, int, String, double) - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterInteger

Construct a new InputParameterInteger.

InputParameterLocalDateTime - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterLocalDateTime stores a parameter that contains a date and time, e.g. 2020-11-12T12:34.

InputParameterLocalDateTime(String, String, String, LocalDateTime, double) - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterLocalDateTime

Construct a new InputParameterLong.

InputParameterLong - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterLong.java.

InputParameterLong(String, String, String, long, double) - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterLong

Construct a new InputParameterLong.

InputParameterLong(String, String, String, long, long, long, String, double) - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterLong

Construct a new InputParameterLong.

inputParameterMap - Variable in class nl.tudelft.simulation.dsol.model.AbstractDsolModel

the input parameters.

InputParameterMap - Class in nl.tudelft.simulation.dsol.model.inputparameters

The InputParameterMap contains a number of InputParameters, each of which can also be an InputParameterMap again.

InputParameterMap(String, String, String, double) - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterMap

Construct a new InputParameterMap.

InputParameterMapDistContinuous - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterMapDistContinuous is a InputParameterMap with a stream, a getDist() and a setDist() method.

InputParameterMapDistContinuous(String, String, String, double) - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterMapDistContinuous

Construct a new InputParameterMap.

InputParameterMapDistDiscrete - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterMapDistDiscrete is a InputParameterMap with a stream, a getDist() and a setDist() method.

InputParameterMapDistDiscrete(String, String, String, double) - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterMapDistDiscrete

Construct a new InputParameterMap.

InputParameterSelectionList<T> - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterSelectionList contains a list of values to select from.

InputParameterSelectionList(String, String, String, List<T>, T, double) - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterSelectionList

Construct a new InputParameterSelectionList.

InputParameterSelectionList(String, String, String, T[], T, double) - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterSelectionList

Construct a new InputParameterSelectionList.

InputParameterSelectionMap<K,T> - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterSelectionMap contains a list of key values to select from, each leading to another value to be selected as the value.

InputParameterSelectionMap(String, String, String, SortedMap<K, T>, T, double) - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterSelectionMap

Construct a new InputParameterSelectionMap.

InputParameterString - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterBoolean.java.

InputParameterString(String, String, String, String, double) - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterString

Construct a new InputParameterString.

InputParameterUnit<U extends org.djunits.unit.Unit<U>> - Class in nl.tudelft.simulation.dsol.model.inputparameters

InputParameterUnit: parameter to select a unit.

InputParameterUnit(String, String, String, U, double) - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterUnit

Construct a new InputParameterUnit.

integrateY(double, double, double[]) - Method in class nl.tudelft.simulation.jstats.ode.DifferentialEquation

integrates Y.

InterpolatedEmpiricalDistribution - Class in nl.tudelft.simulation.jstats.distributions.empirical

The InterpolatedEmpiricalDistribution implements the logic for a cumulative distribution function for an empirical distribution, where the values will be interpolated between the values.

InterpolatedEmpiricalDistribution(Number[], double[]) - Constructor for class nl.tudelft.simulation.jstats.distributions.empirical.InterpolatedEmpiricalDistribution

Construct the empirical distribution based on two arrays of the same length, one with sorted values, and one with corresponding sorted cumulative probabilities.

isAnimation() - Method in class nl.tudelft.simulation.dsol.simulators.DevsRealTimeAnimator

isCatchup() - Method in class nl.tudelft.simulation.dsol.simulators.DevsRealTimeAnimator

isCatchup() - Method in interface nl.tudelft.simulation.dsol.simulators.RealTime

Return whether the simulation should catch up with the wall clock time (with a factor determined by the speed factor).

isEmpty() - Method in interface nl.tudelft.simulation.dsol.eventlists.EventListInterface

Return whether the event list is empty.

isEmpty() - Method in class nl.tudelft.simulation.dsol.eventlists.EventListPriorityQueue

isEmpty() - Method in class nl.tudelft.simulation.dsol.eventlists.RedBlackTree

isInitialized() - Method in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

isInitialized is true from the moment that the Simulator has been initialized with the Replication till the moment that the replication has ended.

isMaxIncluded() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDouble

isMaxIncluded() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDoubleScalar

isMaxIncluded() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterFloat

isMaxIncluded() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterFloatScalar

isMinIncluded() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDouble

isMinIncluded() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDoubleScalar

isMinIncluded() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterFloat

isMinIncluded() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterFloatScalar

isPauseOnError() - Method in class nl.tudelft.simulation.dsol.simulators.DevsSimulator

Deprecated.

isPauseOnError() - Method in interface nl.tudelft.simulation.dsol.simulators.DevsSimulatorInterface

Deprecated.

isReadOnly() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.AbstractInputParameter

isReadOnly() - Method in interface nl.tudelft.simulation.dsol.model.inputparameters.InputParameter

Return true if the input parameter can not be altered.

isRunning() - Method in class nl.tudelft.simulation.dsol.experiment.Experiment

Return whether the experiment is running or not.

isRunning() - Method in class nl.tudelft.simulation.dsol.simulators.Simulator.SimulatorWorkerThread

isStarted() - Method in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

isRunning is true between the moment the run has really started till the moment the stop has been initiated.

isStarting() - Method in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

isStarting is true between the moment the start has been triggered, till the moment the run has really started.

isStartingOrRunning() - Method in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

isStartingOrRunning is true between the moment the start has been initiated, till the moment the stop has been initiated.

isStopped() - Method in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

isStopped is true when the simulator is stopped, (and has not yet been triggered to start again).

isStopping() - Method in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

isStopping is true between the moment the stop has been triggered, till the moment the run has really stopped.

isStoppingOrStopped() - Method in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

isStoppingOrStopped is true for all states where it has not been started or it is not running.

isWaiting() - Method in class nl.tudelft.simulation.dsol.simulators.Simulator.SimulatorWorkerThread

iterator() - Method in interface nl.tudelft.simulation.dsol.eventlists.EventListInterface

Provide an iterator to loop over the event list.

iterator() - Method in class nl.tudelft.simulation.dsol.eventlists.EventListPriorityQueue

iterator() - Method in class nl.tudelft.simulation.dsol.eventlists.RedBlackTree

J

Java2Random - Class in nl.tudelft.simulation.jstats.streams

The Java2Random is an extension of the java.util.Random class which implements the StreamInterface.

Java2Random() - Constructor for class nl.tudelft.simulation.jstats.streams.Java2Random

Create a new Java2Random and initializes with System.currentTimeMillis.

Java2Random(long) - Constructor for class nl.tudelft.simulation.jstats.streams.Java2Random

Create a new Java2Random and initialize with a given seed.

L

LambdaSimEvent<T extends Number & Comparable<T>> - Class in nl.tudelft.simulation.dsol.formalisms.eventscheduling

The SimEvent forms the essential scheduling mechanism for D-SOL.

LambdaSimEvent(T, short, Executable) - Constructor for class nl.tudelft.simulation.dsol.formalisms.eventscheduling.LambdaSimEvent

The constructor of the event stores the time the event must be executed and the object and method to invoke.

LambdaSimEvent(T, Executable) - Constructor for class nl.tudelft.simulation.dsol.formalisms.eventscheduling.LambdaSimEvent

The constructor of the event stores the time the event must be executed and the object and method to invoke.

lastX - Variable in class nl.tudelft.simulation.jstats.ode.DifferentialEquation

the last x value, initialized with x0 to start integration.

lastY - Variable in class nl.tudelft.simulation.jstats.ode.DifferentialEquation

the last calculated value array for lastX, initialized with the initial value array y0.

listEditables() - Static method in class nl.tudelft.simulation.dsol.animation.Editable

returns the editables as a list of name=class.

loadFromArgs(String[], boolean, InputParameterMap) - Static method in class nl.tudelft.simulation.dsol.model.inputparameters.reader.ReadInputParameters

Read the input parameters from an array of Strings, e.g. the args of a command line execution.

loadFromArgs(String[], InputParameterMap) - Static method in class nl.tudelft.simulation.dsol.model.inputparameters.reader.ReadInputParameters

Read the input parameters from an array of Strings, e.g. the args of a command line execution.

loadfromProperties(String, InputParameterMap) - Static method in class nl.tudelft.simulation.dsol.model.inputparameters.reader.ReadInputParameters

Read the input parameters from a properties file.

localDateTime() - Method in class nl.tudelft.simulation.dsol.simulators.clock.ClockTime

Return the ClockTime object as a LocalDateTime.

location - Variable in class nl.tudelft.simulation.dsol.animation.Editable

the location of the editable.

LOG_AND_CONTINUE - Enum constant in enum class nl.tudelft.simulation.dsol.simulators.ErrorStrategy

Send the error to the logger as WARNING.

LogNormal() - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuousSelection.LogNormal

Construct the input for the LogNormal distribution.

M

makeExperimentReplication() - Method in class nl.tudelft.simulation.dsol.experiment.Experiment

Create a new replication for an experiment.

MAX_PRIORITY - Static variable in interface nl.tudelft.simulation.dsol.formalisms.eventscheduling.SimEventInterface

MAX_PRIORITY is a constant reflecting the maximum priority.

MaxDiffFilter - Class in nl.tudelft.simulation.jstats.filters

The MaxDiffFilter accepts entries if their value is larger than the percentage of the last received Value.

MaxDiffFilter(double) - Constructor for class nl.tudelft.simulation.jstats.filters.MaxDiffFilter

constructs a new MaxDiffFilter.

MersenneTwister - Class in nl.tudelft.simulation.jstats.streams

A java implementation of the Mersenne Twister pseudo random number generator.

MersenneTwister() - Constructor for class nl.tudelft.simulation.jstats.streams.MersenneTwister

constructs a new Mersenne Twister.

MersenneTwister(long) - Constructor for class nl.tudelft.simulation.jstats.streams.MersenneTwister

Constructor using a given seed.

methodName - Variable in class nl.tudelft.simulation.dsol.formalisms.eventscheduling.SimEvent

method is the method which embodies the state change.

Milne - Class in nl.tudelft.simulation.jstats.ode.integrators

The Milne numerical estimator as described in https://mathworld.wolfram.com/MilnesMethod.html

Milne(double, DifferentialEquationInterface) - Constructor for class nl.tudelft.simulation.jstats.ode.integrators.Milne

constructs a new Milne integrator.

Milne(double, DifferentialEquationInterface, NumericalIntegratorType, int) - Constructor for class nl.tudelft.simulation.jstats.ode.integrators.Milne

constructs a new Milne integrator, indicating the starting method and number of substeps.

MILNE - Enum constant in enum class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegratorType

Milne's integration.

MIN_PRIORITY - Static variable in interface nl.tudelft.simulation.dsol.formalisms.eventscheduling.SimEventInterface

MIN_PRIORITY is a constant reflecting the minimal priority.

minus(T, T) - Static method in class nl.tudelft.simulation.dsol.simtime.SimTime

Subtract two numbers.

model - Variable in class nl.tudelft.simulation.dsol.simulators.Simulator

The model that is currently active; is null before initialize() has been called.

mu - Variable in class nl.tudelft.simulation.jstats.distributions.DistNormal

mu refers to the mean of the normal distribution.

multiply(double, double[]) - Method in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator

multiplies a vector with a constant.

N

NegBinomial() - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistDiscreteSelection.NegBinomial

Construct the input for the NegBinomial distribution.

next(double) - Method in class nl.tudelft.simulation.jstats.ode.integrators.Adams

next(double) - Method in class nl.tudelft.simulation.jstats.ode.integrators.CachingNumericalIntegrator

The integrators that extend the CachingNumericalIntegrator calculate the value of y(x+stepSize) just based on the x-value.

next(double) - Method in class nl.tudelft.simulation.jstats.ode.integrators.Milne

next(double, double[]) - Method in class nl.tudelft.simulation.jstats.ode.integrators.CachingNumericalIntegrator

next(double, double[]) - Method in class nl.tudelft.simulation.jstats.ode.integrators.Euler

next(double, double[]) - Method in class nl.tudelft.simulation.jstats.ode.integrators.Gill

next(double, double[]) - Method in class nl.tudelft.simulation.jstats.ode.integrators.Heun

next(double, double[]) - Method in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator

computes the next value.

next(double, double[]) - Method in class nl.tudelft.simulation.jstats.ode.integrators.RungeKutta3

next(double, double[]) - Method in class nl.tudelft.simulation.jstats.ode.integrators.RungeKutta4

next(double, double[]) - Method in class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaCashCarp

next(double, double[]) - Method in class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaFehlberg

next(int) - Method in class nl.tudelft.simulation.jstats.streams.DX120Generator

next(int) - Method in class nl.tudelft.simulation.jstats.streams.MersenneTwister

next(int) - Method in class nl.tudelft.simulation.jstats.streams.RandomNumberGenerator

returns the next value in the stream.

nextBoolean() - Method in class nl.tudelft.simulation.jstats.streams.RandomNumberGenerator

nextBoolean() - Method in interface nl.tudelft.simulation.jstats.streams.StreamInterface

Return the next pseudo-random, uniformly distributed boolean value.

nextDouble() - Method in class nl.tudelft.simulation.jstats.streams.RandomNumberGenerator

nextDouble() - Method in interface nl.tudelft.simulation.jstats.streams.StreamInterface

Return a pseudo-random number from the stream over the interval (0,1) using this stream, after advancing its state by one step.

nextFloat() - Method in class nl.tudelft.simulation.jstats.streams.RandomNumberGenerator

nextFloat() - Method in interface nl.tudelft.simulation.jstats.streams.StreamInterface

Return a pseudo-random number from the stream over the interval (0,1) using this stream, after advancing its state by one step.

nextGaussian() - Method in class nl.tudelft.simulation.jstats.distributions.DistNormal

Generates the next pseudorandom, Gaussian (normally) distributed double value, with mean 0.0 and standard deviation 1.0 see section 3.4.1 of The Art of Computer Programming, Volume 2 by Donald Knuth.

nextInt() - Method in class nl.tudelft.simulation.jstats.streams.RandomNumberGenerator

nextInt() - Method in interface nl.tudelft.simulation.jstats.streams.StreamInterface

Return a pseudo-random number from the stream over using this stream, after advancing its state by one step.

nextInt(int, int) - Method in class nl.tudelft.simulation.jstats.streams.Java2Random

nextInt(int, int) - Method in class nl.tudelft.simulation.jstats.streams.RandomNumberGenerator

nextInt(int, int) - Method in interface nl.tudelft.simulation.jstats.streams.StreamInterface

Return pseudo-random number from the stream between the integers i (inclusive) and j (inclusive).

nextLong() - Method in class nl.tudelft.simulation.jstats.streams.RandomNumberGenerator

nextLong() - Method in interface nl.tudelft.simulation.jstats.streams.StreamInterface

Return a pseudo-random number from the stream over using this stream, after advancing its state by one step.

nk - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaCashCarp

the numer of k-s in the method.

nk - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaFehlberg

the numer of k-s in the method.

nl.tudelft.simulation.dsol - package nl.tudelft.simulation.dsol

Generic classes for DSOL, such as the SimRuntimeException.

nl.tudelft.simulation.dsol.animation - package nl.tudelft.simulation.dsol.animation

The SimRenderable2d, which binds the animation objects to the context in simulator.getReplication().

nl.tudelft.simulation.dsol.eventlists - package nl.tudelft.simulation.dsol.eventlists

Provides classes and interfaces for eventlists.

nl.tudelft.simulation.dsol.experiment - package nl.tudelft.simulation.dsol.experiment

Experiments and replications definitions.

nl.tudelft.simulation.dsol.formalisms.dess - package nl.tudelft.simulation.dsol.formalisms.dess

The DifferentialEquation for continuous modeling.

nl.tudelft.simulation.dsol.formalisms.eventscheduling - package nl.tudelft.simulation.dsol.formalisms.eventscheduling

Definition of the different types of SimEvents used in the event scheduling simulation paradigm.

nl.tudelft.simulation.dsol.logger - package nl.tudelft.simulation.dsol.logger

SimLogger, "extends" the CategoryLogger to be simulator aware and able to print the simulator time as part of the log message.

nl.tudelft.simulation.dsol.model - package nl.tudelft.simulation.dsol.model

The model and its parameters.

nl.tudelft.simulation.dsol.model.inputparameters - package nl.tudelft.simulation.dsol.model.inputparameters

The different types of input parameters for the model.

nl.tudelft.simulation.dsol.model.inputparameters.reader - package nl.tudelft.simulation.dsol.model.inputparameters.reader

Utility classes to read input parameters from several sources.

nl.tudelft.simulation.dsol.simtime - package nl.tudelft.simulation.dsol.simtime

nl.tudelft.simulation.dsol.simtime.dist - package nl.tudelft.simulation.dsol.simtime.dist

Definitions of distributions over relative time, and over SimTime.

nl.tudelft.simulation.dsol.simulators - package nl.tudelft.simulation.dsol.simulators

Provides the simulator interfaces and classes for a number of formalisms.

nl.tudelft.simulation.dsol.simulators.clock - package nl.tudelft.simulation.dsol.simulators.clock

Clock-based simulator and animator.

nl.tudelft.simulation.dsol.simulators.time - package nl.tudelft.simulation.dsol.simulators.time

Time (djunits)-based simulator and animator.

nl.tudelft.simulation.dsol.statistics - package nl.tudelft.simulation.dsol.statistics

Simulator time aware statistics classes.

nl.tudelft.simulation.dsol.statistics.table - package nl.tudelft.simulation.dsol.statistics.table

Table representation of the statistics.

nl.tudelft.simulation.jstats.distributions - package nl.tudelft.simulation.jstats.distributions

This package defines a number of continuous and discrete distributions.

nl.tudelft.simulation.jstats.distributions.empirical - package nl.tudelft.simulation.jstats.distributions.empirical

Observations for the empirical distributions.

nl.tudelft.simulation.jstats.distributions.unit - package nl.tudelft.simulation.jstats.distributions.unit

Distributions of scalars with a unit.

nl.tudelft.simulation.jstats.filters - package nl.tudelft.simulation.jstats.filters

Filters for data.

nl.tudelft.simulation.jstats.math - package nl.tudelft.simulation.jstats.math

Provides classes for basic mathematical functions, such as factorial, permutations, combinations, error function, inverse error function, gamma function, and beta functionimplementations.

nl.tudelft.simulation.jstats.ode - package nl.tudelft.simulation.jstats.ode

Definition of an ordinary differential equation.

nl.tudelft.simulation.jstats.ode.integrators - package nl.tudelft.simulation.jstats.ode.integrators

A number of numerical integrators for differential equations, both implicit and explicit.

nl.tudelft.simulation.jstats.streams - package nl.tudelft.simulation.jstats.streams

Provides classes and interfaces for streams used in the JSTATS package.

Normal() - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuousSelection.Normal

Construct the input for the Normal distribution.

NORMAL_PRIORITY - Static variable in interface nl.tudelft.simulation.dsol.formalisms.eventscheduling.SimEventInterface

NORMAL_PRIORITY is a constant reflecting the normal priority.

NOT_INITIALIZED - Enum constant in enum class nl.tudelft.simulation.dsol.simulators.ReplicationState

The simulator has been instantiated, but not yet initialized with a Replication.

NOT_INITIALIZED - Enum constant in enum class nl.tudelft.simulation.dsol.simulators.RunState

The simulator has been instantiated, but not yet initialized with a Replication.

notify(Event) - Method in class nl.tudelft.simulation.dsol.experiment.Experiment

notify(Event) - Method in class nl.tudelft.simulation.dsol.formalisms.dess.DifferentialEquation

notify(Event) - Method in class nl.tudelft.simulation.dsol.statistics.SimCounter

notify(Event) - Method in class nl.tudelft.simulation.dsol.statistics.SimPersistent

notify(Event) - Method in class nl.tudelft.simulation.dsol.statistics.SimTally

notify(Event) - Method in class nl.tudelft.simulation.dsol.statistics.table.CounterTableModel

notify(Event) - Method in class nl.tudelft.simulation.dsol.statistics.table.PersistentTableModel

notify(Event) - Method in class nl.tudelft.simulation.dsol.statistics.table.TallyTableModel

numberOfVariables - Variable in class nl.tudelft.simulation.dsol.formalisms.dess.DifferentialEquation

the number of variables in the equation.

NumericalIntegrator - Class in nl.tudelft.simulation.jstats.ode.integrators

Provides basic methods for all numerical integration methods.

NumericalIntegrator(double, DifferentialEquationInterface) - Constructor for class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator

constructs a new NumericalIntegrator.

NumericalIntegratorType - Enum Class in nl.tudelft.simulation.jstats.ode.integrators

NumericalIntegratorType is an enum with the currently implemented integrators.

O

Observations - Class in nl.tudelft.simulation.jstats.distributions.empirical

Observations is a helper class to instantiate non-interpolated distributions based on a list or array of observations, from which a distribution is generated.

ofIso(String) - Static method in class nl.tudelft.simulation.dsol.simulators.clock.ClockTime

Instantiate a ClockTime based on an ISO date and time (yyyy-MM-ddThh:mm:ss) with a precision of one second.

ofLocalDateTime(LocalDateTime) - Static method in class nl.tudelft.simulation.dsol.simulators.clock.ClockTime

Instantiate a ClockTime based on an local date and time object with a precision of one second.

outputStatistics - Variable in class nl.tudelft.simulation.dsol.model.AbstractDsolModel

the output statistics.

P

Pearson5() - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuousSelection.Pearson5

Construct the input for the Pearson5 distribution.

Pearson6() - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuousSelection.Pearson6

Construct the input for the Pearson6 distribution.

perm(int, int) - Static method in class nl.tudelft.simulation.jstats.math.ProbMath

Computes the k-permutations of n as a long.

perm(long, long) - Static method in class nl.tudelft.simulation.jstats.math.ProbMath

Computes the k-permutations of n as a long.

permutations(int, int) - Static method in class nl.tudelft.simulation.jstats.math.ProbMath

Compute the k-permutations of n.

permutations(long, long) - Static method in class nl.tudelft.simulation.jstats.math.ProbMath

Compute the k-permutations of n.

PersistentTableModel - Class in nl.tudelft.simulation.dsol.statistics.table

PersistentTableModel maintains a table with all statistics data from the SimPersistent.

PersistentTableModel(SimPersistent<?>) - Constructor for class nl.tudelft.simulation.dsol.statistics.table.PersistentTableModel

Constructor.

plus(T, T) - Static method in class nl.tudelft.simulation.dsol.simtime.SimTime

Add two numbers.

Poisson() - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistDiscreteSelection.Poisson

Construct the input for the Poisson distribution.

POW2_DOUBLE - Static variable in class nl.tudelft.simulation.jstats.math.ProbMath

stored values of a^n as a double value.

POW2_LONG - Static variable in class nl.tudelft.simulation.jstats.math.ProbMath

stored values of 2^n as a long value.

previousX - Variable in class nl.tudelft.simulation.dsol.formalisms.dess.DifferentialEquation

the previousX.

previousY - Variable in class nl.tudelft.simulation.dsol.formalisms.dess.DifferentialEquation

the previousY.

printArgs() - Method in class nl.tudelft.simulation.dsol.formalisms.eventscheduling.SimEvent

Retrieve the arguments in a human readable way.

printTarget() - Method in class nl.tudelft.simulation.dsol.formalisms.eventscheduling.SimEvent

Retrieve the target in a human readable way.

printValues() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.AbstractInputParameterMap

Return a formatted human readable list of keys and values.

printValues(AbstractInputParameterMap<?>, int) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.AbstractInputParameterMap

Return a formatted human readable list of keys and values, indented with spaces corresponding to the depth.

priority - Variable in class nl.tudelft.simulation.dsol.formalisms.eventscheduling.AbstractSimEvent

priority reflects the priority of the event.

probability(long) - Method in class nl.tudelft.simulation.jstats.distributions.DistBernoulli

probability(long) - Method in class nl.tudelft.simulation.jstats.distributions.DistBinomial

probability(long) - Method in class nl.tudelft.simulation.jstats.distributions.DistDiscrete

returns the probability of the observation in this particular distribution.

probability(long) - Method in class nl.tudelft.simulation.jstats.distributions.DistDiscreteConstant

probability(long) - Method in class nl.tudelft.simulation.jstats.distributions.DistDiscreteUniform

probability(long) - Method in class nl.tudelft.simulation.jstats.distributions.DistEmpiricalDiscreteLong

probability(long) - Method in class nl.tudelft.simulation.jstats.distributions.DistGeometric

probability(long) - Method in class nl.tudelft.simulation.jstats.distributions.DistNegBinomial

probability(long) - Method in class nl.tudelft.simulation.jstats.distributions.DistPoisson

ProbabilityDensities - Class in nl.tudelft.simulation.jstats.distributions.empirical

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.

probDensity(double) - Method in class nl.tudelft.simulation.dsol.simtime.dist.DistContinuousSimulationTime

returns the probability density for a value x.

probDensity(S) - Method in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousUnit

returns the probability density for a value scalar.

ProbMath - Class in nl.tudelft.simulation.jstats.math

The ProbMath class defines some very basic probabilistic mathematical functions.

putSeedArray(String, long[]) - Method in class nl.tudelft.simulation.dsol.experiment.StreamSeedInformation

Add a new seed map for a stream, based on a stream id, possibly overwriting a previous existing seed map with the same name.

putSeedList(String, List<Long>) - Method in class nl.tudelft.simulation.dsol.experiment.StreamSeedInformation

Add a new seed map for a stream, based on a stream id, possibly overwriting a previous existing seed map with the same name.

putSeedMap(String, Map<Integer, Long>) - Method in class nl.tudelft.simulation.dsol.experiment.StreamSeedInformation

Add a new seed map for a stream, based on a stream id, possibly overwriting a previous existing seed map with the same name.

R

RandomNumberGenerator - Class in nl.tudelft.simulation.jstats.streams

The RandomNumberGenerator class provides an abstract basis for all pseudo random number generators.

RandomNumberGenerator() - Constructor for class nl.tudelft.simulation.jstats.streams.RandomNumberGenerator

Construct a new RandomNumberGenerator.

RandomNumberGenerator(long) - Constructor for class nl.tudelft.simulation.jstats.streams.RandomNumberGenerator

Construct a new RandomNumberGenerator.

ReadInputParameters - Class in nl.tudelft.simulation.dsol.model.inputparameters.reader

Read InputParameters from a Properties file or from an array of Strings.

RealTime<T extends Number & Comparable<T>> - Interface in nl.tudelft.simulation.dsol.simulators

RealTime is an interface for simulators that can run at a speed relative to the real time clock.

RedBlackTree<T extends Number & Comparable<T>> - Class in nl.tudelft.simulation.dsol.eventlists

A RedBlackTree implementation of the eventlistInterface.

RedBlackTree() - Constructor for class nl.tudelft.simulation.dsol.eventlists.RedBlackTree

Constructs a new RedBlackTree.

register(double) - Method in class nl.tudelft.simulation.dsol.statistics.SimTally

register(long) - Method in class nl.tudelft.simulation.dsol.statistics.SimCounter

register(Number, double) - Method in class nl.tudelft.simulation.dsol.statistics.SimPersistent

remove(String) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.AbstractInputParameterMap

Removes an input parameter from this map of input parameters.

remove(SimEventInterface<T>) - Method in interface nl.tudelft.simulation.dsol.eventlists.EventListInterface

Remove the given event from the event list.

remove(SimEventInterface<T>) - Method in class nl.tudelft.simulation.dsol.eventlists.EventListPriorityQueue

remove(SimEventInterface<T>) - Method in class nl.tudelft.simulation.dsol.eventlists.RedBlackTree

removeFirst() - Method in interface nl.tudelft.simulation.dsol.eventlists.EventListInterface

Returns and removes the first event (lowest time / priority) of the event list.

removeFirst() - Method in class nl.tudelft.simulation.dsol.eventlists.EventListPriorityQueue

removeFirst() - Method in class nl.tudelft.simulation.dsol.eventlists.RedBlackTree

removeFirst() - Method in class nl.tudelft.simulation.dsol.eventlists.TableModelEventList

removeFromContext() - Method in class nl.tudelft.simulation.dsol.experiment.Experiment

Remove the entire experiment tree from the context.

removeFromContext() - Method in class nl.tudelft.simulation.dsol.experiment.ExperimentReplication

Remove the entire experiment tree from the context.

removeFromContext() - Method in class nl.tudelft.simulation.dsol.experiment.SingleReplication

Remove the context for this replication.

replication - Variable in class nl.tudelft.simulation.dsol.simulators.Simulator

The currently active replication; is null before initialize() has been called.

Replication<T extends Number & Comparable<T>> - Class in nl.tudelft.simulation.dsol.experiment

The base class for a single replication of an Experiment.

Replication(String, T, T, T) - Constructor for class nl.tudelft.simulation.dsol.experiment.Replication

Construct a stand-alone replication.

Replication(RunControl<T>) - Constructor for class nl.tudelft.simulation.dsol.experiment.Replication

Construct a stand-alone replication using a RunControl to store the run information.

replicationNr - Variable in class nl.tudelft.simulation.dsol.experiment.ExperimentReplication

the replication number within the experiment.

replicationState - Variable in class nl.tudelft.simulation.dsol.simulators.Simulator

The replication state of the simulator, that indicates the state of the Replication state machine.

ReplicationState - Enum Class in nl.tudelft.simulation.dsol.simulators

ReplicationState indicates the precise state of the replication that is being executed by the Simulator.

reset() - Method in class nl.tudelft.simulation.dsol.experiment.Experiment

Reset the experiment so it can be run again.

reset() - Method in class nl.tudelft.simulation.jstats.streams.Java2Random

reset() - Method in class nl.tudelft.simulation.jstats.streams.RandomNumberGenerator

reset() - Method in interface nl.tudelft.simulation.jstats.streams.StreamInterface

Reset the stream to use the original seed with which it was initialized.

resetApplication() - Method in class nl.tudelft.simulation.dsol.model.AbstractDsolModel

resetApplication() - Method in interface nl.tudelft.simulation.dsol.model.DsolModel

Reset the application.

resetStreams() - Method in interface nl.tudelft.simulation.dsol.model.DsolModel

Reset the streams to their original seed values.

run() - Method in class nl.tudelft.simulation.dsol.experiment.Experiment.ExperimentThread

run() - Method in class nl.tudelft.simulation.dsol.simulators.AnimatorInterface.AnimationThread

run() - Method in class nl.tudelft.simulation.dsol.simulators.DessSimulator

run() - Method in class nl.tudelft.simulation.dsol.simulators.DevDessAnimator

run() - Method in class nl.tudelft.simulation.dsol.simulators.DevDessSimulator

run() - Method in class nl.tudelft.simulation.dsol.simulators.DevsAnimator

run() - Method in class nl.tudelft.simulation.dsol.simulators.DevsRealTimeAnimator

run() - Method in class nl.tudelft.simulation.dsol.simulators.DevsSimulator

run() - Method in class nl.tudelft.simulation.dsol.simulators.Simulator

The run method defines the actual time step mechanism of the simulator.

run() - Method in class nl.tudelft.simulation.dsol.simulators.Simulator.SimulatorWorkerThread

RunControl<T extends Number & Comparable<T>> - Class in nl.tudelft.simulation.dsol.experiment

RunControl is a data object that contains off-line run control information.

RunControl(String, T, T, T) - Constructor for class nl.tudelft.simulation.dsol.experiment.RunControl

Construct an object with off-line run control information.

runflag - Variable in class nl.tudelft.simulation.dsol.simulators.Simulator

the run flag semaphore indicating that the run() method has started (and might have stopped).

RungeKutta3 - Class in nl.tudelft.simulation.jstats.ode.integrators

The RungeKutta 3 numerical integrator.

RungeKutta3(double, DifferentialEquationInterface) - Constructor for class nl.tudelft.simulation.jstats.ode.integrators.RungeKutta3

constructs a new RungeKutta3.

RUNGEKUTTA3 - Enum constant in enum class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegratorType

RungeKutta's (3rd level) integration.

RungeKutta4 - Class in nl.tudelft.simulation.jstats.ode.integrators

The RungeKutta4 numerical integrator.

RungeKutta4(double, DifferentialEquationInterface) - Constructor for class nl.tudelft.simulation.jstats.ode.integrators.RungeKutta4

constructs a new RungeKutta4.

RUNGEKUTTA4 - Enum constant in enum class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegratorType

RungeKutta's (4th level) integration.

RungeKuttaCashCarp - Class in nl.tudelft.simulation.jstats.ode.integrators

The RungeKuttaCashCarp.java numerical integrator.

RungeKuttaCashCarp(double, DifferentialEquationInterface) - Constructor for class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaCashCarp

constructs a new RungeKuttaCashCarp.

RUNGEKUTTACASHCARP - Enum constant in enum class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegratorType

Runge-Kutta-Cash-Carp integration.

RungeKuttaFehlberg - Class in nl.tudelft.simulation.jstats.ode.integrators

The RungeKuttaFehlberg.java numerical integrator.

RungeKuttaFehlberg(double, DifferentialEquationInterface) - Constructor for class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaFehlberg

constructs a new RungeKuttaFehlberg.

RUNGEKUTTAFEHLBERG - Enum constant in enum class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegratorType

Runge-Kutta-Fehlberg integration.

runState - Variable in class nl.tudelft.simulation.dsol.simulators.Simulator

The run state of the simulator, that indicates the state of the Simulator state machine.

RunState - Enum Class in nl.tudelft.simulation.dsol.simulators

RunState indicates the precise state of the Simulator.

runUntilIncluding - Variable in class nl.tudelft.simulation.dsol.simulators.Simulator

whether the runUntilTime should carry out the calculation(s) for that time or not.

runUntilTime - Variable in class nl.tudelft.simulation.dsol.simulators.Simulator

The runUntil time in case we want to stop before the end of the replication time.

runUpTo(T) - Method in class nl.tudelft.simulation.dsol.simulators.Simulator

runUpTo(T) - Method in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

Runs the simulator up to a certain time; any events at that time, or the solving of the differential equation at that timestep, will not yet be executed.

runUpToAndIncluding(T) - Method in class nl.tudelft.simulation.dsol.simulators.Simulator

runUpToAndIncluding(T) - Method in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

Runs the simulator up to a certain time; all events at that time, or the solving of the differential equation at that timestep, will be executed.

S

scheduleEvent(SimEventInterface<T>) - Method in class nl.tudelft.simulation.dsol.simulators.DevsSimulator

scheduleEvent(SimEventInterface<T>) - Method in interface nl.tudelft.simulation.dsol.simulators.DevsSimulatorInterface

Method scheduleEvent schedules an event on the eventlist.

scheduleEventAbs(ClockTime, short, Object, String, Object[]) - Method in interface nl.tudelft.simulation.dsol.simulators.clock.ClockDevsSimulatorInterface

schedules a methodCall at an absolute time.

scheduleEventAbs(ClockTime, short, Executable) - Method in interface nl.tudelft.simulation.dsol.simulators.clock.ClockDevsSimulatorInterface

schedules a lambda expression at an absolute time.

scheduleEventAbs(ClockTime, Object, String, Object[]) - Method in interface nl.tudelft.simulation.dsol.simulators.clock.ClockDevsSimulatorInterface

schedules a methodCall at an absolute time with normal priority.

scheduleEventAbs(ClockTime, Executable) - Method in interface nl.tudelft.simulation.dsol.simulators.clock.ClockDevsSimulatorInterface

schedules a lambda expression at an absolute time with normal priority.

scheduleEventAbs(Time, short, Object, String, Object[]) - Method in interface nl.tudelft.simulation.dsol.simulators.time.TimeDevsSimulatorInterface

schedules a methodCall at an absolute time.

scheduleEventAbs(Time, short, Executable) - Method in interface nl.tudelft.simulation.dsol.simulators.time.TimeDevsSimulatorInterface

schedules a lambda expression at an absolute time.

scheduleEventAbs(Time, Object, String, Object[]) - Method in interface nl.tudelft.simulation.dsol.simulators.time.TimeDevsSimulatorInterface

schedules a methodCall at an absolute time with normal priority.

scheduleEventAbs(Time, Executable) - Method in interface nl.tudelft.simulation.dsol.simulators.time.TimeDevsSimulatorInterface

schedules a lambda expression at an absolute time with normal priority.

scheduleEventAbs(T, short, Object, Object, String, Object[]) - Method in interface nl.tudelft.simulation.dsol.simulators.DevsSimulatorInterface

Deprecated.

scheduleEventAbs(T, short, Object, String, Object[]) - Method in class nl.tudelft.simulation.dsol.simulators.DevsSimulator

scheduleEventAbs(T, short, Object, String, Object[]) - Method in interface nl.tudelft.simulation.dsol.simulators.DevsSimulatorInterface

schedules a methodCall at an absolute time.

scheduleEventAbs(T, short, Executable) - Method in class nl.tudelft.simulation.dsol.simulators.DevsSimulator

scheduleEventAbs(T, short, Executable) - Method in interface nl.tudelft.simulation.dsol.simulators.DevsSimulatorInterface

schedules a lambda expression at an absolute time.

scheduleEventAbs(T, Object, Object, String, Object[]) - Method in interface nl.tudelft.simulation.dsol.simulators.DevsSimulatorInterface

Deprecated.

scheduleEventAbs(T, Object, String, Object[]) - Method in class nl.tudelft.simulation.dsol.simulators.DevsSimulator

scheduleEventAbs(T, Object, String, Object[]) - Method in interface nl.tudelft.simulation.dsol.simulators.DevsSimulatorInterface

schedules a methodCall at an absolute time.

scheduleEventAbs(T, Executable) - Method in class nl.tudelft.simulation.dsol.simulators.DevsSimulator

scheduleEventAbs(T, Executable) - Method in interface nl.tudelft.simulation.dsol.simulators.DevsSimulatorInterface

schedules a lambda expression at an absolute time.

scheduleEventNow(short, Object, Object, String, Object[]) - Method in interface nl.tudelft.simulation.dsol.simulators.DevsSimulatorInterface

Deprecated.

scheduleEventNow(short, Object, String, Object[]) - Method in class nl.tudelft.simulation.dsol.simulators.DevsSimulator

scheduleEventNow(short, Object, String, Object[]) - Method in interface nl.tudelft.simulation.dsol.simulators.DevsSimulatorInterface

schedules a methodCall immediately.

scheduleEventNow(short, Executable) - Method in class nl.tudelft.simulation.dsol.simulators.DevsSimulator

scheduleEventNow(short, Executable) - Method in interface nl.tudelft.simulation.dsol.simulators.DevsSimulatorInterface

schedules a lambda expression immediately.

scheduleEventNow(Object, Object, String, Object[]) - Method in interface nl.tudelft.simulation.dsol.simulators.DevsSimulatorInterface

Deprecated.

scheduleEventNow(Object, String, Object[]) - Method in class nl.tudelft.simulation.dsol.simulators.DevsSimulator

scheduleEventNow(Object, String, Object[]) - Method in interface nl.tudelft.simulation.dsol.simulators.DevsSimulatorInterface

schedules a methodCall immediately.

scheduleEventNow(Executable) - Method in class nl.tudelft.simulation.dsol.simulators.DevsSimulator

scheduleEventNow(Executable) - Method in interface nl.tudelft.simulation.dsol.simulators.DevsSimulatorInterface

schedules a lambda expression immediately.

scheduleEventRel(T, short, Object, Object, String, Object[]) - Method in interface nl.tudelft.simulation.dsol.simulators.DevsSimulatorInterface

Deprecated.

scheduleEventRel(T, short, Object, String, Object[]) - Method in class nl.tudelft.simulation.dsol.simulators.DevsSimulator

scheduleEventRel(T, short, Object, String, Object[]) - Method in interface nl.tudelft.simulation.dsol.simulators.DevsSimulatorInterface

schedules a methodCall at a relative duration.

scheduleEventRel(T, short, Executable) - Method in class nl.tudelft.simulation.dsol.simulators.DevsSimulator

scheduleEventRel(T, short, Executable) - Method in interface nl.tudelft.simulation.dsol.simulators.DevsSimulatorInterface

schedules a lambda expression at a relative duration.

scheduleEventRel(T, Object, Object, String, Object[]) - Method in interface nl.tudelft.simulation.dsol.simulators.DevsSimulatorInterface

Deprecated.

scheduleEventRel(T, Object, String, Object[]) - Method in class nl.tudelft.simulation.dsol.simulators.DevsSimulator

scheduleEventRel(T, Object, String, Object[]) - Method in interface nl.tudelft.simulation.dsol.simulators.DevsSimulatorInterface

schedules a methodCall at a relative duration.

scheduleEventRel(T, Executable) - Method in class nl.tudelft.simulation.dsol.simulators.DevsSimulator

scheduleEventRel(T, Executable) - Method in interface nl.tudelft.simulation.dsol.simulators.DevsSimulatorInterface

schedules a lambda expression at a relative duration.

seed - Variable in class nl.tudelft.simulation.jstats.streams.RandomNumberGenerator

The seed of the generator.

semaphore - Variable in class nl.tudelft.simulation.dsol.simulators.Simulator

the simulatorSemaphore.

setAnimation(boolean) - Method in class nl.tudelft.simulation.dsol.simulators.DevsRealTimeAnimator

Indicate whether we support animation or not.

setAnimationDelay(long) - Method in interface nl.tudelft.simulation.dsol.simulators.AnimatorInterface

sets the animationDelay using wallclock time in milliseconds.

setAnimationDelay(long) - Method in class nl.tudelft.simulation.dsol.simulators.DevDessAnimator

setAnimationDelay(long) - Method in class nl.tudelft.simulation.dsol.simulators.DevsAnimator

setBooleanValue(boolean) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterBoolean

Check and set the typed value, and call super.setValue to make the actual allocation.

setBounds(Bounds3d) - Method in class nl.tudelft.simulation.dsol.animation.Editable

sets the bounds of this editable.

setCalculatedValue() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.AbstractInputParameterTypedMap

Calculate the calculated value for this parameter entry.

setCalculatedValue() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDoubleScalar

Construct the scalar value with reflection, and set it as the current value.

setCalculatedValue() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterFloatScalar

Construct the scalar value with reflection, and set it as the current value.

setCatchup(boolean) - Method in class nl.tudelft.simulation.dsol.simulators.DevsRealTimeAnimator

setCatchup(boolean) - Method in interface nl.tudelft.simulation.dsol.simulators.RealTime

Set whether the simulation should catch up with the wall clock time (with a factor determined by the speed factor).

setContext() - Method in class nl.tudelft.simulation.dsol.experiment.ExperimentReplication

Set the context for this replication.

setContext() - Method in class nl.tudelft.simulation.dsol.experiment.SingleReplication

Set the context for this replication.

setContext(ContextInterface) - Method in class nl.tudelft.simulation.dsol.experiment.Replication

Set the context; method is protected so only subclasses can use this setter.

setDefaultValue(VT) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.AbstractInputParameter

setDefaultValue(VT) - Method in interface nl.tudelft.simulation.dsol.model.inputparameters.InputParameter

Change the default value of the input parameter.

setDescription(String) - Method in class nl.tudelft.simulation.dsol.experiment.Experiment

setDescription(String) - Method in class nl.tudelft.simulation.dsol.experiment.Replication

setDescription(String) - Method in class nl.tudelft.simulation.dsol.experiment.RunControl

setDescription(String) - Method in interface nl.tudelft.simulation.dsol.experiment.Treatment

Sets the description of this replication.

setDist() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuousSelection.Beta

setDist() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuousSelection.Constant

setDist() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuousSelection.Erlang

setDist() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuousSelection.Exponential

setDist() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuousSelection.Gamma

setDist() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuousSelection.LogNormal

setDist() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuousSelection.Normal

setDist() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuousSelection.Pearson5

setDist() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuousSelection.Pearson6

setDist() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuousSelection.Triangular

setDist() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuousSelection.Uniform

setDist() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuousSelection.Weibull

setDist() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistDiscreteSelection.Bernoulli

setDist() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistDiscreteSelection.Binomial

setDist() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistDiscreteSelection.DiscreteConstant

setDist() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistDiscreteSelection.DiscreteUniform

setDist() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistDiscreteSelection.Geometric

setDist() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistDiscreteSelection.NegBinomial

setDist() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistDiscreteSelection.Poisson

setDist() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterMapDistContinuous

Calculate the distribution for this parameter entry.

setDist() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterMapDistDiscrete

Calculate the distribution for this parameter entry.

setDistValue(DistContinuous) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuous

Set the value of the distribution.

setDistValue(DistDiscrete) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistDiscrete

Set the value of the distribution.

setDoubleValue(double) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDouble

Check and set the typed value, and call super.setValue to make the actual allocation.

setErrorLogLevel(Level) - Method in class nl.tudelft.simulation.dsol.simulators.Simulator

setErrorLogLevel(Level) - Method in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

Set the error log level to use in the logger for simulation execution errors.

setErrorStrategy(ErrorStrategy) - Method in class nl.tudelft.simulation.dsol.simulators.Simulator

setErrorStrategy(ErrorStrategy) - Method in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

Set the error handling strategy for an execution error for a SimEvent, using the default error log level.

setErrorStrategy(ErrorStrategy, Level) - Method in class nl.tudelft.simulation.dsol.simulators.Simulator

setErrorStrategy(ErrorStrategy, Level) - Method in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

Set the error handling strategy for an execution error for a SimEvent.

setEventList(EventListInterface<T>) - Method in class nl.tudelft.simulation.dsol.simulators.DevsSimulator

setEventList(EventListInterface<T>) - Method in interface nl.tudelft.simulation.dsol.simulators.DevsSimulatorInterface

Method setEventList sets the eventlist.

setFallbackStreamUpdater(StreamUpdater) - Method in class nl.tudelft.simulation.dsol.experiment.StreamSeedUpdater

Set a new fallback stream updater in case the stream or the replication is not in the seed map.

setFloatValue(float) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterFloat

Check and set the typed value, and call super.setValue to make the actual allocation.

setFormat(String) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDouble

setFormat(String) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterFloat

setFormat(String) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterInteger

setFormat(String) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterLong

setFormatter(Function<T, String>) - Method in class nl.tudelft.simulation.dsol.logger.SimLogger

Set a new formatter for the simulator time.

setIndex(int) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterSelectionList

Return the index of the given value in the options.

setInputParameterMap(InputParameterMap) - Method in class nl.tudelft.simulation.dsol.model.AbstractDsolModel

setInputParameterMap(InputParameterMap) - Method in interface nl.tudelft.simulation.dsol.model.DsolModel

Set the input parameters for this model.

setInputParametersDefaults(InputParameterMap) - Static method in class nl.tudelft.simulation.dsol.model.inputparameters.reader.ReadInputParameters

Update the defaults for the parameters to be displayed to the loaded values from the properties file and the command line.

setIntegrator(NumericalIntegrator) - Method in class nl.tudelft.simulation.jstats.ode.DifferentialEquation

setIntValue(int) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterInteger

Check and set the typed value, and call super.setValue to make the actual allocation.

setKeyforValue(K) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterSelectionMap

Return the index of the given value in the options.

setListValue(T) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterSelectionList

Set a new value by providing one of the list options.

setLocation(OrientedPoint3d) - Method in class nl.tudelft.simulation.dsol.animation.Editable

sets the location of this editable.

setLongValue(long) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterLong

Check and set the typed value, and call super.setValue to make the actual allocation.

setMapValue(T) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterSelectionMap

Set a new value by providing one of the map value options.

setMaximumValue(double) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDouble

setMaximumValue(float) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterFloat

setMaximumValue(int) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterInteger

setMaximumValue(long) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterLong

setMaximumValueSI(double) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDoubleScalar

setMaximumValueSI(float) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterFloatScalar

setMaxIncluded(boolean) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDouble

setMaxIncluded(boolean) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDoubleScalar

setMaxIncluded(boolean) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterFloat

setMaxIncluded(boolean) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterFloatScalar

setMinimumValue(double) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDouble

setMinimumValue(float) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterFloat

setMinimumValue(int) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterInteger

setMinimumValue(long) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterLong

setMinimumValueSI(double) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDoubleScalar

setMinimumValueSI(float) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterFloatScalar

setMinIncluded(boolean) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDouble

setMinIncluded(boolean) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDoubleScalar

setMinIncluded(boolean) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterFloat

setMinIncluded(boolean) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterFloatScalar

setObjectValue(Object) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterSelectionMap

Change the value of the input parameter, as an object when the generics are not known (e.g., in a user interface).

setParameter(InputParameter<?, ?>, String) - Static method in class nl.tudelft.simulation.dsol.model.inputparameters.reader.ReadInputParameters

Set a parameter in the input parameter map based on a String value.

setParent(AbstractInputParameterMap<?>) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.AbstractInputParameter

Set the parent of this AbstractInputParameter.

setPauseOnError(boolean) - Method in class nl.tudelft.simulation.dsol.simulators.DevsSimulator

Deprecated.

setPauseOnError(boolean) - Method in interface nl.tudelft.simulation.dsol.simulators.DevsSimulatorInterface

Deprecated.

setReadOnly(boolean) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.AbstractInputParameter

setReadOnly(boolean) - Method in interface nl.tudelft.simulation.dsol.model.inputparameters.InputParameter

Specify if the input parameter can be altered.

setResetApplicationExecutable(Runnable) - Method in class nl.tudelft.simulation.dsol.model.AbstractDsolModel

setResetApplicationExecutable(Runnable) - Method in interface nl.tudelft.simulation.dsol.model.DsolModel

Set the executable code for resetting the application at a 'reset' command in the GUI.

setSeed(long) - Method in class nl.tudelft.simulation.jstats.streams.DX120Generator

setSeed(long) - Method in class nl.tudelft.simulation.jstats.streams.Java2Random

setSeed(long) - Method in class nl.tudelft.simulation.jstats.streams.MersenneTwister

setSeed(long) - Method in class nl.tudelft.simulation.jstats.streams.RandomNumberGenerator

setSeed(long) - Method in interface nl.tudelft.simulation.jstats.streams.StreamInterface

Set the seed of the generator.

setShowPackage(boolean) - Method in class nl.tudelft.simulation.dsol.eventlists.TableModelEventList

sets the showPackage.

setSpeedFactor(double) - Method in interface nl.tudelft.simulation.dsol.simulators.RealTime

Set the speedFactor, and send a CHANGE_SPEED_FACTOR event.

setSpeedFactor(double, boolean) - Method in class nl.tudelft.simulation.dsol.simulators.DevsRealTimeAnimator

setSpeedFactor(double, boolean) - Method in interface nl.tudelft.simulation.dsol.simulators.RealTime

Set the speedFactor.

setStartClockTime(ClockTime) - Method in class nl.tudelft.simulation.dsol.simulators.clock.ClockDevDessAnimator

setStartClockTime(ClockTime) - Method in class nl.tudelft.simulation.dsol.simulators.clock.ClockDevDessSimulator

setStartClockTime(ClockTime) - Method in class nl.tudelft.simulation.dsol.simulators.clock.ClockDevsAnimator

setStartClockTime(ClockTime) - Method in class nl.tudelft.simulation.dsol.simulators.clock.ClockDevsRealTimeAnimator

setStartClockTime(ClockTime) - Method in class nl.tudelft.simulation.dsol.simulators.clock.ClockDevsSimulator

setStartClockTime(ClockTime) - Method in interface nl.tudelft.simulation.dsol.simulators.clock.ClockDevsSimulatorInterface

Set the start time of the simulator as a 'calendar-aware' ClockTime.

setStepSize(double) - Method in class nl.tudelft.simulation.jstats.ode.integrators.CachingNumericalIntegrator

setStepSize(double) - Method in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator

setStoppingCondition(Predicate<? super M>) - Method in class nl.tudelft.simulation.dsol.experiment.Experiment

setStoppingCondition(Predicate<? super M>) - Method in class nl.tudelft.simulation.dsol.experiment.Replication

setStoppingCondition(Predicate<? super M>) - Method in class nl.tudelft.simulation.dsol.experiment.RunControl

setStoppingCondition(Predicate<? super M>) - Method in interface nl.tudelft.simulation.dsol.experiment.Treatment

Set the stopping condition for the replication or experiment.

setStream(StreamInterface) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuous

setStream(StreamInterface) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistDiscrete

setStream(StreamInterface) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterMapDistContinuous

setStream(StreamInterface) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterMapDistDiscrete

setStream(StreamInterface) - Method in class nl.tudelft.simulation.jstats.distributions.Dist

Replace the random number stream.

setStream(StreamInterface) - Method in class nl.tudelft.simulation.jstats.distributions.DistBeta

setStream(StreamInterface) - Method in class nl.tudelft.simulation.jstats.distributions.DistErlang

setStream(StreamInterface) - Method in class nl.tudelft.simulation.jstats.distributions.DistNormal

setStream(StreamInterface) - Method in class nl.tudelft.simulation.jstats.distributions.DistPearson5

setStream(StreamInterface) - Method in class nl.tudelft.simulation.jstats.distributions.DistPearson6

setStreamInformation(StreamInformation) - Method in class nl.tudelft.simulation.dsol.model.AbstractDsolModel

setStreamInformation(StreamInformation) - Method in interface nl.tudelft.simulation.dsol.model.DsolModel

Set the initial streams of the model based on a StreamInformation object.

setStreamUpdater(StreamUpdater) - Method in class nl.tudelft.simulation.dsol.experiment.Experiment

Set a new StreamUpdater to update the random seeds between replications.

setStringValue(String) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterString

Check and set the typed value, and call super.setValue to make the actual allocation.

setTimeStep(T) - Method in class nl.tudelft.simulation.dsol.simulators.DessSimulator

setTimeStep(T) - Method in interface nl.tudelft.simulation.dsol.simulators.DessSimulatorInterface

Method setTimeStep sets the time step of the simulator.

setTimeStep(T) - Method in class nl.tudelft.simulation.dsol.simulators.DevDessSimulator

setUpdateMsec(int) - Method in class nl.tudelft.simulation.dsol.simulators.DevsRealTimeAnimator

setUpdateMsec(int) - Method in interface nl.tudelft.simulation.dsol.simulators.RealTime

The relative update delay in milliseconds is the step size in wall clock time by which the time is updated between events.

setValue(VT) - Method in class nl.tudelft.simulation.dsol.model.inputparameters.AbstractInputParameter

Change the value of the input parameter.

setVertices(CartesianPoint[]) - Method in class nl.tudelft.simulation.dsol.animation.Editable

sets the vertices of this editable.

sigma - Variable in class nl.tudelft.simulation.jstats.distributions.DistNormal

sigma refers to the standard deviation of the normal distribution.

SimCounter<T extends Number & Comparable<T>> - Class in nl.tudelft.simulation.dsol.statistics

The time-aware counter extends the djutils event-based counter and links it to the dsol framework.

SimCounter(String, String, DsolModel<T, ? extends SimulatorInterface<T>>) - Constructor for class nl.tudelft.simulation.dsol.statistics.SimCounter

Construct a new SimCounter, and register the counter in the OutputStatistics of the model.

SimCounter(String, String, DsolModel<T, ? extends SimulatorInterface<T>>, EventProducer, EventType) - Constructor for class nl.tudelft.simulation.dsol.statistics.SimCounter

constructs a new SimCounter.

SimEvent<T extends Number & Comparable<T>> - Class in nl.tudelft.simulation.dsol.formalisms.eventscheduling

The SimEvent forms the essential scheduling mechanism for D-SOL.

SimEvent(T, short, Object, String, Object[]) - Constructor for class nl.tudelft.simulation.dsol.formalisms.eventscheduling.SimEvent

The constructor of the event stores the time the event must be executed and the object and method to invoke.

SimEvent(T, Object, String, Object[]) - Constructor for class nl.tudelft.simulation.dsol.formalisms.eventscheduling.SimEvent

The constructor of the event stores the time the event must be executed and the object and method to invoke.

SimEventInterface<T extends Number & Comparable<T>> - Interface in nl.tudelft.simulation.dsol.formalisms.eventscheduling

A SimEvent embodies the envelope in which the scheduled method invocation information is stored.

SimLogger<T extends Number & Comparable<T>> - Class in nl.tudelft.simulation.dsol.logger

SimLogger contains helper methods for the logger.

SimLogger(SimulatorInterface<T>) - Constructor for class nl.tudelft.simulation.dsol.logger.SimLogger

Register a logger for a simulator with time.

SimPersistent<T extends Number & Comparable<T>> - Class in nl.tudelft.simulation.dsol.statistics

The time-aware Persistent extends the djutils event-based timestamp-weighed tally and links it to the dsol framework.

SimPersistent(String, String, DsolModel<T, ? extends SimulatorInterface<T>>) - Constructor for class nl.tudelft.simulation.dsol.statistics.SimPersistent

constructs a new SimPersistent.

SimPersistent(String, String, DsolModel<T, ? extends SimulatorInterface<T>>, EventProducer, EventType) - Constructor for class nl.tudelft.simulation.dsol.statistics.SimPersistent

constructs a new SimPersistent.

SimpleStreamUpdater - Class in nl.tudelft.simulation.dsol.experiment

SimpleStreamUpdater updates the streams based on the hashCode of the name of the stream and the replication number.

SimpleStreamUpdater() - Constructor for class nl.tudelft.simulation.dsol.experiment.SimpleStreamUpdater

SimRenderable2d<L extends Locatable> - Class in nl.tudelft.simulation.dsol.animation

SimRenderable2D binds the animation objects to the context in simulator.getReplication().

SimRenderable2d(L, SimulatorInterface<?>) - Constructor for class nl.tudelft.simulation.dsol.animation.SimRenderable2d

Constructs a new Renderable2D.

SimRuntimeException - Exception in nl.tudelft.simulation.dsol

This class defines SimRuntimeException.

SimRuntimeException() - Constructor for exception nl.tudelft.simulation.dsol.SimRuntimeException

Constructor for SimRuntimeException.

SimRuntimeException(String) - Constructor for exception nl.tudelft.simulation.dsol.SimRuntimeException

constructs a new SimRuntimeException.

SimRuntimeException(String, Throwable) - Constructor for exception nl.tudelft.simulation.dsol.SimRuntimeException

constructs a new SimRuntimeException.

SimRuntimeException(Throwable) - Constructor for exception nl.tudelft.simulation.dsol.SimRuntimeException

Constructor for SimRuntimeException.

SimTally<T extends Number & Comparable<T>> - Class in nl.tudelft.simulation.dsol.statistics

The simulator aware Tally extends the djutils event-based tally and links it to the dsol framework.

SimTally(String, String, DsolModel<T, ? extends SimulatorInterface<T>>) - Constructor for class nl.tudelft.simulation.dsol.statistics.SimTally

constructs a new SimTally.

SimTally(String, String, DsolModel<T, ? extends SimulatorInterface<T>>, EventProducer, EventType) - Constructor for class nl.tudelft.simulation.dsol.statistics.SimTally

constructs a new SimTally based on an eventType for which statistics are sampled.

SimTime - Class in nl.tudelft.simulation.dsol.simtime

SimTime contains a number of static methods to deal with adding and substracting simulation times.

SimTimeFormatter<T extends Number & Comparable<T>> - Class in nl.tudelft.simulation.dsol.logger

SimTimeSupplier formats the simulation time as a String.

SimTimeFormatter() - Constructor for class nl.tudelft.simulation.dsol.logger.SimTimeFormatter

SimulationStatistic<T extends Number & Comparable<T>> - Interface in nl.tudelft.simulation.dsol.statistics

SimulationStatistic is an interface for the DSOL statistics objects.

simulator - Variable in class nl.tudelft.simulation.dsol.animation.Editable

the simulator to use.

simulator - Variable in class nl.tudelft.simulation.dsol.formalisms.dess.DifferentialEquation

simulator.

simulator - Variable in class nl.tudelft.simulation.dsol.model.AbstractDsolModel

the simulator.

Simulator<T extends Number & Comparable<T>> - Class in nl.tudelft.simulation.dsol.simulators

The Simulator class is an abstract implementation of the SimulatorInterface.

Simulator(Serializable) - Constructor for class nl.tudelft.simulation.dsol.simulators.Simulator

Constructs a new Simulator.

Simulator.SimulatorWorkerThread - Class in nl.tudelft.simulation.dsol.simulators

The worker thread to execute the run() method of the Simulator and to start/stop the simulation.

SimulatorInterface<T extends Number & Comparable<T>> - Interface in nl.tudelft.simulation.dsol.simulators

The SimulatorInterface defines the behavior of the simulators in the DSOL framework.

simulatorTime - Variable in class nl.tudelft.simulation.dsol.simulators.Simulator

simulatorTime represents the simulationTime.

simulatorTimeForWallClockMillis(double) - Method in class nl.tudelft.simulation.dsol.simulators.clock.ClockDevsRealTimeAnimator

simulatorTimeForWallClockMillis(double) - Method in class nl.tudelft.simulation.dsol.simulators.DevsRealTimeAnimator.TimeDouble

simulatorTimeForWallClockMillis(double) - Method in class nl.tudelft.simulation.dsol.simulators.DevsRealTimeAnimator.TimeDoubleUnit

simulatorTimeForWallClockMillis(double) - Method in class nl.tudelft.simulation.dsol.simulators.DevsRealTimeAnimator.TimeFloat

simulatorTimeForWallClockMillis(double) - Method in class nl.tudelft.simulation.dsol.simulators.DevsRealTimeAnimator.TimeFloatUnit

simulatorTimeForWallClockMillis(double) - Method in class nl.tudelft.simulation.dsol.simulators.DevsRealTimeAnimator.TimeLong

simulatorTimeForWallClockMillis(double) - Method in interface nl.tudelft.simulation.dsol.simulators.RealTime

Calculate the how much simulation duration corresponds to the number of wall clock milliseconds indicated in the parameter.

simulatorTimeForWallClockMillis(double) - Method in class nl.tudelft.simulation.dsol.simulators.time.TimeDevsRealTimeAnimator

SimulatorWorkerThread(String, Simulator<?>) - Constructor for class nl.tudelft.simulation.dsol.simulators.Simulator.SimulatorWorkerThread

constructs a new SimulatorRunThread.

SingleReplication<T extends Number & Comparable<T>> - Class in nl.tudelft.simulation.dsol.experiment

A single replication that is executed outside of an Experiment.

SingleReplication(String, T, T, T) - Constructor for class nl.tudelft.simulation.dsol.experiment.SingleReplication

construct a stand-alone replication.

SingleReplication(RunControl<T>) - Constructor for class nl.tudelft.simulation.dsol.experiment.SingleReplication

Construct a stand-alone replication using a RunControl to store the run information.

size() - Method in interface nl.tudelft.simulation.dsol.eventlists.EventListInterface

Return the number of events on the event list.

size() - Method in class nl.tudelft.simulation.dsol.eventlists.EventListPriorityQueue

size() - Method in class nl.tudelft.simulation.dsol.eventlists.RedBlackTree

size() - Method in class nl.tudelft.simulation.jstats.distributions.empirical.AbstractEmpiricalDistribution

size() - Method in interface nl.tudelft.simulation.jstats.distributions.empirical.EmpiricalDistributionInterface

Returns the number of probability-value mappings in this structure.

SnippetFilter - Class in nl.tudelft.simulation.jstats.filters

The snippet filter only accepts one entry per snippet value.

SnippetFilter(double) - Constructor for class nl.tudelft.simulation.jstats.filters.SnippetFilter

constructs a new SnippetFilter.

start() - Method in class nl.tudelft.simulation.dsol.experiment.Experiment

Start the extire experiment on a simulator, and execute ehe replications one by one.

start() - Method in class nl.tudelft.simulation.dsol.simulators.Simulator

start() - Method in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

Starts the simulator, and fire a START_EVENT that the simulator was started.

START_EVENT - Static variable in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

START_EVENT is fired when the simulator is started.

START_EXPERIMENT_EVENT - Static variable in class nl.tudelft.simulation.dsol.experiment.Experiment

START_EXPERIMENT_EVENT is fired when the experiment starts.

START_REPLICATION_EVENT - Static variable in class nl.tudelft.simulation.dsol.experiment.Replication

START_REPLICATION_EVENT is fired when a replication is started.

STARTED - Enum constant in enum class nl.tudelft.simulation.dsol.simulators.ReplicationState

The execution of the replication has started, the START_REPLICATION_EVENT has been fired.

STARTED - Enum constant in enum class nl.tudelft.simulation.dsol.simulators.RunState

The Simulator run() thread has started; the simulation is running.

startImpl() - Method in class nl.tudelft.simulation.dsol.simulators.Simulator

Implementation of the start method.

STARTING - Enum constant in enum class nl.tudelft.simulation.dsol.simulators.RunState

The Simulator has been started, but the run() thread did not start yet.

STARTING_EVENT - Static variable in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

STARTING_EVENT is fired when the simulator.start() method is called (the run() method still needs to start).

startingIntegrator - Variable in class nl.tudelft.simulation.jstats.ode.integrators.CachingNumericalIntegrator

The primer integrator.

startingSubSteps - Variable in class nl.tudelft.simulation.jstats.ode.integrators.CachingNumericalIntegrator

the substeps to use when starting the integrator.

startNextReplication() - Method in class nl.tudelft.simulation.dsol.experiment.Experiment

Start the next replication from the list of replications, or fire END_EXPERIMENT_EVENT when there are no more non-executed replications.

startReplication() - Method in class nl.tudelft.simulation.dsol.statistics.SimPersistent

Register a 0.0 as the first observed value at the start of the replication to start the persistent.

StatisticsTableModel - Class in nl.tudelft.simulation.dsol.statistics.table

The StatisticsTableModel class defines the tableModel used to represent statistics objects as a table, e.g., on the screen or on a web page.

StatisticsTableModel(Object[], int, EventProducer, EventType[]) - Constructor for class nl.tudelft.simulation.dsol.statistics.table.StatisticsTableModel

constructs a new StatisticsTableModel.

step() - Method in class nl.tudelft.simulation.dsol.simulators.Simulator

step() - Method in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

Steps the simulator, and fire a STEP_EVENT to indicate the simulator made a step.

stepImpl() - Method in class nl.tudelft.simulation.dsol.simulators.DessSimulator

stepImpl() - Method in class nl.tudelft.simulation.dsol.simulators.DevsSimulator

stepImpl() - Method in class nl.tudelft.simulation.dsol.simulators.Simulator

The implementation body of the step() method.

stepSize - Variable in class nl.tudelft.simulation.jstats.ode.DifferentialEquation

the stepSize; can be negative or positive.

stepSize - Variable in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator

the step size to use.

stop() - Method in class nl.tudelft.simulation.dsol.simulators.Simulator

stop() - Method in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

Stops the simulator, and fire a STOP_EVENT that the simulator was stopped.

STOP_EVENT - Static variable in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

STOP_EVENT is fired when the simulator is stopped.

stopAnimation() - Method in class nl.tudelft.simulation.dsol.simulators.AnimatorInterface.AnimationThread

Stop the animation.

stopImpl() - Method in class nl.tudelft.simulation.dsol.simulators.Simulator

Implementation of the stop behavior.

STOPPED - Enum constant in enum class nl.tudelft.simulation.dsol.simulators.RunState

The Simulator run() thread has been stopped; the simulator is not running.

STOPPING - Enum constant in enum class nl.tudelft.simulation.dsol.simulators.RunState

The stopping of the simulator has been initiated, but the run() thread is still running.

STOPPING_EVENT - Static variable in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

STOPPING_EVENT is fired when the simulator.stop() method is called (the run() method still needs to be stopped).

stream - Variable in class nl.tudelft.simulation.jstats.distributions.Dist

stream is the random number generator from which to draw.

StreamException - Exception in nl.tudelft.simulation.jstats.streams

Exception for the Random Number Generators.

StreamException() - Constructor for exception nl.tudelft.simulation.jstats.streams.StreamException

StreamException(String) - Constructor for exception nl.tudelft.simulation.jstats.streams.StreamException

StreamException(String, Throwable) - Constructor for exception nl.tudelft.simulation.jstats.streams.StreamException

StreamException(String, Throwable, boolean, boolean) - Constructor for exception nl.tudelft.simulation.jstats.streams.StreamException

StreamException(Throwable) - Constructor for exception nl.tudelft.simulation.jstats.streams.StreamException

streamInformation - Variable in class nl.tudelft.simulation.dsol.model.AbstractDsolModel

streams used in the replication.

StreamInformation - Class in nl.tudelft.simulation.dsol.experiment

StreamInformation contains information about Random Streams that exists before the model has been constructed.

StreamInformation() - Constructor for class nl.tudelft.simulation.dsol.experiment.StreamInformation

Construct a StreamInformation object that can be used to pass information about streams to to a model.

StreamInformation(StreamInterface) - Constructor for class nl.tudelft.simulation.dsol.experiment.StreamInformation

Construct a StreamInformation object that can be used to pass information about streams to to a model.

StreamInterface - Interface in nl.tudelft.simulation.jstats.streams

The StreamInterface defines the streams to be used within the JSTATS package.

StreamSeedInformation - Class in nl.tudelft.simulation.dsol.experiment

StreamSeedInformation stores information about the streams, but also about the way the seeds have to be updated for each replication.

StreamSeedInformation() - Constructor for class nl.tudelft.simulation.dsol.experiment.StreamSeedInformation

Construct a StreamInformation object that can be used to pass information about streams to to a model.

StreamSeedInformation(StreamInterface) - Constructor for class nl.tudelft.simulation.dsol.experiment.StreamSeedInformation

Construct a StreamInformation object that can be used to pass information about streams to to a model.

StreamSeedUpdater - Class in nl.tudelft.simulation.dsol.experiment

StreamSeedUpdater updates the streams based on a stored map of replication numbers to seed numbers.

StreamSeedUpdater(Map<String, Map<Integer, Long>>) - Constructor for class nl.tudelft.simulation.dsol.experiment.StreamSeedUpdater

Construct a new StreamSeedUpdater object an initialize it with the seed map.

StreamUpdater - Interface in nl.tudelft.simulation.dsol.experiment

The StreamUpdater interface describes how to update the seed values for the next replication.

T

TableModelEventList<T extends Number & Comparable<T>> - Class in nl.tudelft.simulation.dsol.eventlists

A TableModel implementation of an eventlist is an extionsion of the eventlist which upholds its own TableModel.

TableModelEventList(EventListInterface<T>) - Constructor for class nl.tudelft.simulation.dsol.eventlists.TableModelEventList

constructs a new TableModelEventList.

TallyTableModel - Class in nl.tudelft.simulation.dsol.statistics.table

TallyTableModel maintains a table with all statistics data from the SimTally.

TallyTableModel(SimTally<?>) - Constructor for class nl.tudelft.simulation.dsol.statistics.table.TallyTableModel

Constructor.

target - Variable in class nl.tudelft.simulation.dsol.formalisms.eventscheduling.SimEvent

target the target on which a state change is scheduled.

TIME_CHANGED_EVENT - Static variable in interface nl.tudelft.simulation.dsol.simulators.SimulatorInterface

TIME_CHANGED_EVENT is fired when the simulatorTime is updated.

TIME_STEP_CHANGED_EVENT - Static variable in interface nl.tudelft.simulation.dsol.simulators.DessSimulatorInterface

TIME_STEP_CHANGED_EVENT is fired when the time step is set.

TIMED_INITIALIZED_EVENT - Static variable in class nl.tudelft.simulation.dsol.statistics.SimCounter

INITIALIZED_EVENT is fired whenever a Tally is (re-)initialized.

TIMED_INITIALIZED_EVENT - Static variable in class nl.tudelft.simulation.dsol.statistics.SimPersistent

INITIALIZED_EVENT is fired whenever a Persistent is (re-)initialized.

TIMED_INITIALIZED_EVENT - Static variable in class nl.tudelft.simulation.dsol.statistics.SimTally

INITIALIZED_EVENT is fired whenever a Tally is (re-)initialized.

TIMED_OBSERVATION_ADDED_EVENT - Static variable in class nl.tudelft.simulation.dsol.statistics.SimCounter

OBSERVATION_ADDED_EVENT is fired whenever an observation is processed.

TIMED_OBSERVATION_ADDED_EVENT - Static variable in class nl.tudelft.simulation.dsol.statistics.SimPersistent

OBSERVATION_ADDED_EVENT is fired whenever an observation is processed.

TIMED_OBSERVATION_ADDED_EVENT - Static variable in class nl.tudelft.simulation.dsol.statistics.SimTally

OBSERVATION_ADDED_EVENT is fired whenever an observation is processed.

TimeDevDessAnimator - Class in nl.tudelft.simulation.dsol.simulators.time

TimeDevDessAnimator is an extension of the TimeDevDessAnimator that works with Duration and Time.

TimeDevDessAnimator(Serializable, Duration, Time) - Constructor for class nl.tudelft.simulation.dsol.simulators.time.TimeDevDessAnimator

Instantiate a TimeDevDessAnimator.

TimeDevDessSimulator - Class in nl.tudelft.simulation.dsol.simulators.time

TimeDevDessSimulator is an extension of the TimeDevDessSimulator that works with Duration and Time.

TimeDevDessSimulator(Serializable, Duration, Time) - Constructor for class nl.tudelft.simulation.dsol.simulators.time.TimeDevDessSimulator

Instantiate a TimeDevDessSimulator.

TimeDevsAnimator - Class in nl.tudelft.simulation.dsol.simulators.time

TimeDevsAnimator is an extension of the DevsAnimator that works with Duration and Time.

TimeDevsAnimator(Serializable, Time) - Constructor for class nl.tudelft.simulation.dsol.simulators.time.TimeDevsAnimator

Instantiate a TimeDevsAnimator.

TimeDevsRealTimeAnimator - Class in nl.tudelft.simulation.dsol.simulators.time

TimeDevsRealTimeAnimator is an extension of the DevsRealTimeAnimator that works with Duration and Time.

TimeDevsRealTimeAnimator(Serializable, Time) - Constructor for class nl.tudelft.simulation.dsol.simulators.time.TimeDevsRealTimeAnimator

Instantiate a TimeDevsRealTimeAnimator.

TimeDevsSimulator - Class in nl.tudelft.simulation.dsol.simulators.time

TimeDevsSimulator is an extension of the DevsSimulator that works with Duration and Time.

TimeDevsSimulator(Serializable, Time) - Constructor for class nl.tudelft.simulation.dsol.simulators.time.TimeDevsSimulator

Instantiate a TimeDevsSimulator.

TimeDevsSimulatorInterface - Interface in nl.tudelft.simulation.dsol.simulators.time

TimeSimulatorInterface is an interface to use the Time + Duration rather than a pure duration-based simulator.

TimeDouble(Serializable, double) - Constructor for class nl.tudelft.simulation.dsol.simulators.DevsRealTimeAnimator.TimeDouble

Construct a DevsRealTimeClock<Double>.

TimeDouble(DistContinuous) - Constructor for class nl.tudelft.simulation.dsol.simtime.dist.DistContinuousSimulationTime.TimeDouble

TimeDoubleUnit(Serializable) - Constructor for class nl.tudelft.simulation.dsol.simulators.DevsRealTimeAnimator.TimeDoubleUnit

Construct a DevsRealTimeClock<Duration>.

TimeDoubleUnit(DistContinuous, DurationUnit) - Constructor for class nl.tudelft.simulation.dsol.simtime.dist.DistContinuousSimulationTime.TimeDoubleUnit

TimeFloat(Serializable, double) - Constructor for class nl.tudelft.simulation.dsol.simulators.DevsRealTimeAnimator.TimeFloat

Construct a DevsRealTimeClock<Float>.

TimeFloat(DistContinuous) - Constructor for class nl.tudelft.simulation.dsol.simtime.dist.DistContinuousSimulationTime.TimeFloat

TimeFloatUnit(Serializable) - Constructor for class nl.tudelft.simulation.dsol.simulators.DevsRealTimeAnimator.TimeFloatUnit

Construct a DevsRealTimeClock<FloatDuration>.

TimeFloatUnit(DistContinuous, DurationUnit) - Constructor for class nl.tudelft.simulation.dsol.simtime.dist.DistContinuousSimulationTime.TimeFloatUnit

TimeLong(Serializable, double) - Constructor for class nl.tudelft.simulation.dsol.simulators.DevsRealTimeAnimator.TimeLong

Construct a DevsRealTimeClock<Long>.

TimeLong(DistContinuous) - Constructor for class nl.tudelft.simulation.dsol.simtime.dist.DistContinuousSimulationTime.TimeLong

timeStep - Variable in class nl.tudelft.simulation.dsol.simulators.DessSimulator

timeStep represents the timestep of the DESS simulator.

timeStep - Variable in class nl.tudelft.simulation.dsol.simulators.DevDessSimulator

timeStep represents the timestep of the DESS simulator.

toString() - Method in class nl.tudelft.simulation.dsol.experiment.Experiment

toString() - Method in class nl.tudelft.simulation.dsol.experiment.ExperimentReplication

toString() - Method in class nl.tudelft.simulation.dsol.experiment.ExperimentRunControl

toString() - Method in class nl.tudelft.simulation.dsol.experiment.RunControl

toString() - Method in class nl.tudelft.simulation.dsol.experiment.SingleReplication

toString() - Method in class nl.tudelft.simulation.dsol.formalisms.eventscheduling.LambdaSimEvent

toString() - Method in class nl.tudelft.simulation.dsol.formalisms.eventscheduling.SimEvent

toString() - Method in class nl.tudelft.simulation.dsol.model.inputparameters.AbstractInputParameter

toString() - Method in class nl.tudelft.simulation.dsol.simulators.clock.ClockTime

toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistBernoulli

toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistBeta

toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistBinomial

toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistConstant

toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistDiscreteConstant

toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistDiscreteUniform

toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistErlang

toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistExponential

toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistGamma

toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistGeometric

toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistLogNormal

toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistLogNormalTrunc

toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistNegBinomial

toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistNormal

toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistNormalTrunc

toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistPearson5

toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistPearson6

toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistPoisson

toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistTriangular

toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistUniform

toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistWeibull

toString() - Method in class nl.tudelft.simulation.jstats.distributions.empirical.AbstractEmpiricalDistribution

toString() - Method in class nl.tudelft.simulation.jstats.distributions.empirical.DistributionEntry

toString() - Method in class nl.tudelft.simulation.jstats.streams.RandomNumberGenerator

Treatment<T extends Number & Comparable<T>> - Interface in nl.tudelft.simulation.dsol.experiment

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.

Triangular() - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuousSelection.Triangular

Construct the input for the Triangular distribution.

typedValue - Variable in class nl.tudelft.simulation.dsol.model.inputparameters.AbstractInputParameterTypedMap

the value based on the input.

U

Uniform() - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuousSelection.Uniform

Construct the input for the Uniform distribution.

unit - Variable in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousUnit

the unit for the values of the distribution.

UPDATE_ANIMATION_EVENT - Static variable in interface nl.tudelft.simulation.dsol.simulators.AnimatorInterface

UPDATE_ANIMATION_EVENT is fired to wake up animatable components.

updateAnimation() - Method in interface nl.tudelft.simulation.dsol.simulators.AnimatorInterface

updateAnimation takes care of firing the UPDATE_ANIMATION_EVENT.

updateAnimation() - Method in class nl.tudelft.simulation.dsol.simulators.DevDessAnimator

updateAnimation() - Method in class nl.tudelft.simulation.dsol.simulators.DevsAnimator

updateSeed(String, StreamInterface, int) - Method in class nl.tudelft.simulation.dsol.experiment.SimpleStreamUpdater

updateSeed(String, StreamInterface, int) - Method in class nl.tudelft.simulation.dsol.experiment.StreamSeedUpdater

updateSeed(String, StreamInterface, int) - Method in interface nl.tudelft.simulation.dsol.experiment.StreamUpdater

Update one seed for the given streamId and replication number.

updateSeeds(Map<String, StreamInterface>, int) - Method in interface nl.tudelft.simulation.dsol.experiment.StreamUpdater

Update all seeds for the given replication number.

V

VALUE_CHANGED_EVENT - Variable in class nl.tudelft.simulation.dsol.formalisms.dess.DifferentialEquation

VALUE_CHANGED_EVENT is fired on value changes.

valueOf(String) - Static method in enum class nl.tudelft.simulation.dsol.simulators.ErrorStrategy

Returns the enum constant of this class with the specified name.

valueOf(String) - Static method in enum class nl.tudelft.simulation.dsol.simulators.ReplicationState

Returns the enum constant of this class with the specified name.

valueOf(String) - Static method in enum class nl.tudelft.simulation.dsol.simulators.RunState

Returns the enum constant of this class with the specified name.

valueOf(String) - Static method in enum class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegratorType

Returns the enum constant of this class with the specified name.

values() - Static method in enum class nl.tudelft.simulation.dsol.simulators.ErrorStrategy

Returns an array containing the constants of this enum class, in the order they are declared.

values() - Static method in enum class nl.tudelft.simulation.dsol.simulators.ReplicationState

Returns an array containing the constants of this enum class, in the order they are declared.

values() - Static method in enum class nl.tudelft.simulation.dsol.simulators.RunState

Returns an array containing the constants of this enum class, in the order they are declared.

values() - Static method in enum class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegratorType

Returns an array containing the constants of this enum class, in the order they are declared.

vertices - Variable in class nl.tudelft.simulation.dsol.animation.Editable

the vertices.

W

warmup() - Method in class nl.tudelft.simulation.dsol.simulators.Simulator

Fire the WARMUP event to clear the statistics after the warmup period.

WARMUP_EVENT - Static variable in class nl.tudelft.simulation.dsol.experiment.Replication

WARMUP_EVENT is fired when the warmup period is over, and statistics have to be reset.

WARN_AND_CONTINUE - Enum constant in enum class nl.tudelft.simulation.dsol.simulators.ErrorStrategy

Send the error to logger as ERROR and print the exception on stderr.

WARN_AND_END - Enum constant in enum class nl.tudelft.simulation.dsol.simulators.ErrorStrategy

Send the error to logger as ERROR and print the exception on stderr The Simulator.cleanup() method is called to ensure the SimulatorWorkerThread.run() method completely ends and can be garbage collected.

WARN_AND_EXIT - Enum constant in enum class nl.tudelft.simulation.dsol.simulators.ErrorStrategy

Send the error to logger as ERROR and print the exception on stderr The Simulator.cleanup() method is called to ensure the stop of the run() in SimulatorWorkerThread; the System.exit() method is called to end the complete program.

WARN_AND_PAUSE - Enum constant in enum class nl.tudelft.simulation.dsol.simulators.ErrorStrategy

Send the error to logger as ERROR and print the exception on stderr The RunState goes to STOPPING, leading to the stop of the loop in the Simulator.run() method and a subsequent STOPPED state in the SimulatorWorkerThread.run() method.

WARN_AND_THROW - Enum constant in enum class nl.tudelft.simulation.dsol.simulators.ErrorStrategy

Send the error to logger as ERROR and print the exception on stderr The error will be thrown as a SimRuntimeException, which can, e.g., be used in unit tests since the exception will be thrown by the simulator rather than in the event itself.

Weibull() - Constructor for class nl.tudelft.simulation.dsol.model.inputparameters.InputParameterDistContinuousSelection.Weibull

Construct the input for the Weibull distribution.

worker - Variable in class nl.tudelft.simulation.dsol.simulators.Simulator

a worker.

wrappedDistribution - Variable in class nl.tudelft.simulation.dsol.simtime.dist.DistContinuousSimulationTime

the wrapped distribution.

wrappedDistribution - Variable in class nl.tudelft.simulation.jstats.distributions.unit.DistContinuousUnit

the wrapped distribution.

Y

y(double) - Method in class nl.tudelft.simulation.jstats.ode.DifferentialEquation

y(double) - Method in interface nl.tudelft.simulation.jstats.ode.DifferentialEquationInterface

returns y as a function of x.

ymd() - Method in class nl.tudelft.simulation.dsol.simulators.clock.ClockTime

Format the ClockTime as a yyyy-MM-dd local date.

ymdhm() - Method in class nl.tudelft.simulation.dsol.simulators.clock.ClockTime

Format the ClockTime as a yyyy-MM-dd hh:mm local date and time using a 24-hour clock.

Z

zero(T) - Static method in class nl.tudelft.simulation.dsol.simtime.SimTime

Return a zero value for the number.

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