ikr.simlib.distributions.continuous.statedep

Class GMDPDistribution

java.lang.Object

ikr.simlib.distributions.Distribution

ikr.simlib.distributions.continuous.ContinuousDistribution

ikr.simlib.distributions.continuous.statedep.GMDPDistribution

Direct Known Subclasses:

MMDPDistribution

public class GMDPDistribution
extends ContinuousDistribution

GMDP (Generally Modulated Deterministic Process) distribution

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	GMDPDistribution.GMDPStateParameters

Field Summary

Fields

Modifier and Type	Field and Description
int	noOfStates
GMDPDistribution.GMDPStateParameters[]	stateParameters

Fields inherited from class ikr.simlib.distributions.Distribution

rng

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	GMDPDistribution(int noOfStates)
	GMDPDistribution(int noOfStates, double[] interCellTimes, DiscreteDistribution[] phaseLengthDists, double[][] transitionProbs)
	GMDPDistribution(int noOfStates, double[] interCellTimes, DiscreteDistribution[] phaseLengthDists, double[][] transitionProbs, RandomNumberGenerator rng)
protected	GMDPDistribution(int noOfStates, RandomNumberGenerator rng)

Method Summary

Methods

Modifier and Type	Method and Description
int	getCellCounter()
double	getCurrentInterCellTime()
int	getCurrentState()
double	next() Create random numbers
void	reset() The default behavior is to do nothing.

Methods inherited from class ikr.simlib.distributions.Distribution

getDefaultRNG, getRandomNumberGenerator

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

noOfStates

public final int noOfStates

stateParameters

public final GMDPDistribution.GMDPStateParameters[] stateParameters

Constructor Detail

GMDPDistribution

protected GMDPDistribution(int noOfStates,
                RandomNumberGenerator rng)

GMDPDistribution

protected GMDPDistribution(int noOfStates)

GMDPDistribution

public GMDPDistribution(int noOfStates,
                double[] interCellTimes,
                DiscreteDistribution[] phaseLengthDists,
                double[][] transitionProbs,
                RandomNumberGenerator rng)

GMDPDistribution

public GMDPDistribution(int noOfStates,
                double[] interCellTimes,
                DiscreteDistribution[] phaseLengthDists,
                double[][] transitionProbs)

Method Detail

reset

public void reset()

Description copied from class: Distribution

The default behavior is to do nothing. Some state dependent distributions override the function

Overrides:

reset in class Distribution

next

public double next()

Description copied from class: ContinuousDistribution

Create random numbers

Specified by:

next in class ContinuousDistribution

getCurrentState

public int getCurrentState()

getCurrentInterCellTime

public double getCurrentInterCellTime()

getCellCounter

public int getCellCounter()