ikr.simlib.distributions.continuous.transform

Class BoundedDistribution

java.lang.Object

ikr.simlib.distributions.Distribution

ikr.simlib.distributions.continuous.ContinuousDistribution

ikr.simlib.distributions.continuous.transform.BoundedDistribution

All Implemented Interfaces:

ReflectionConstructable, ReflectionConstructable3<SimNode,Parameters,RandomNumberGenerator>

public class BoundedDistribution
extends ContinuousDistribution

Continuous Bounded Distribution

Meaning:	Continuous distribution of a random varaible \(T\) that is bounded between a lower bound and an upper bound. For the bounding of \(T\), two different modes are available: with resampling: If the random number generator returns a value that is smaller than the lower boundary or greater than the upper boundary, a new random number is drawn (this is done as long as a value between lower and upper boundary is obtained). without resampling: If the random number generator returns a value that is smaller than the lower boundary or greater than the upper boundary, then the lower respectively upper boundary is return.
Parameters:	base distribution with PDF \(g(t)\) and DF \(G(t)\) lower limit \(b_l\) upper limit \(b_u\) boolean value resampling
Parser example:	[...].Distribution = BoundedDistribution [...].Distribution.BaseDist = Normal [...].Distribution.BaseDist.Mean = 5.0 [...].Distribution.BaseDist.StandardDeviation = 4.0 [...].Distribution.LowerBound = 0.0 # optional, default 0 [...].Distribution.UpperBound = 10.0 # optional, def. inf. [...].Distribution.Resampling = false # optional, def. tr.

Field Summary

Fields

Modifier and Type	Field and Description
ContinuousDistribution	baseDist
double	lowerBound
boolean	resampling
double	upperBound

Fields inherited from class ikr.simlib.distributions.Distribution

rng

Fields inherited from interface ikr.simlib.parameters.reflection.ReflectionConstructable

CREATE_INSTANCE_METHOD_NAME

Constructor Summary

Constructors

Constructor and Description
BoundedDistribution(ContinuousDistribution baseDist)
BoundedDistribution(ContinuousDistribution baseDist, double lowerBound)
BoundedDistribution(ContinuousDistribution baseDist, double lowerBound, double upperBound)
BoundedDistribution(ContinuousDistribution baseDist, double lowerBound, double upperBound, boolean resampling)

Method Summary

Methods

Modifier and Type	Method and Description
static BoundedDistribution	createInstance(SimNode ownNode, Parameters pars, RandomNumberGenerator rng) as required by ReflectionConstructable
double	next() Create random numbers

Methods inherited from class ikr.simlib.distributions.Distribution

getDefaultRNG, getRandomNumberGenerator, reset

Methods inherited from class java.lang.Object

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

Field Detail

baseDist

public final ContinuousDistribution baseDist

lowerBound

public final double lowerBound

upperBound

public final double upperBound

resampling

public final boolean resampling

Constructor Detail

BoundedDistribution

public BoundedDistribution(ContinuousDistribution baseDist,
                   double lowerBound,
                   double upperBound,
                   boolean resampling)

BoundedDistribution

public BoundedDistribution(ContinuousDistribution baseDist,
                   double lowerBound,
                   double upperBound)

BoundedDistribution

public BoundedDistribution(ContinuousDistribution baseDist,
                   double lowerBound)

BoundedDistribution

public BoundedDistribution(ContinuousDistribution baseDist)

Method Detail

createInstance

public static BoundedDistribution createInstance(SimNode ownNode,
                                 Parameters pars,
                                 RandomNumberGenerator rng)

as required by ReflectionConstructable

next

public double next()

Description copied from class: ContinuousDistribution

Create random numbers

Specified by:

next in class ContinuousDistribution