Package org.processmining.plugins.stochasticpetrinet.distribution

Class ApproximateDensityDistribution

java.lang.Object

org.apache.commons.math3.distribution.AbstractRealDistribution

org.processmining.plugins.stochasticpetrinet.distribution.ApproximateDensityDistribution

All Implemented Interfaces:

java.io.Serializable, org.apache.commons.math3.analysis.UnivariateFunction, org.apache.commons.math3.distribution.RealDistribution

public class ApproximateDensityDistribution
extends org.apache.commons.math3.distribution.AbstractRealDistribution
implements org.apache.commons.math3.analysis.UnivariateFunction

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
static double	DEFAULT_CUTOFF
static int	DEFAULT_SEGMENTS

Fields inherited from class org.apache.commons.math3.distribution.AbstractRealDistribution

random, randomData, SOLVER_DEFAULT_ABSOLUTE_ACCURACY

Constructor Summary

Constructors

Constructor	Description
ApproximateDensityDistribution(double[] values, double min, double max)
ApproximateDensityDistribution(double[] values, double min, double max, double shift)
ApproximateDensityDistribution(org.apache.commons.math3.distribution.RealDistribution dist, boolean sample)
ApproximateDensityDistribution(org.apache.commons.math3.distribution.RealDistribution dist, int points, double cutoffBelow, boolean sample)	Approximates a distribution with a density piecewise line through some sample density points

Method Summary

Modifier and Type	Method	Description
double	cumulativeProbability(double x)
double	density(double x)
double	getNumericalMean()
double	getNumericalVariance()
double	getSupportLowerBound()
double	getSupportUpperBound()
boolean	isSupportConnected()
boolean	isSupportLowerBoundInclusive()
boolean	isSupportUpperBoundInclusive()
double	sample()
double[]	sample(int sampleSize)
double	value(double x)

Methods inherited from class org.apache.commons.math3.distribution.AbstractRealDistribution

cumulativeProbability, getSolverAbsoluteAccuracy, inverseCumulativeProbability, logDensity, probability, probability, reseedRandomGenerator

Methods inherited from class java.lang.Object

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

Field Detail

DEFAULT_SEGMENTS

public static final int DEFAULT_SEGMENTS

See Also:

Constant Field Values

DEFAULT_CUTOFF

public static final double DEFAULT_CUTOFF

See Also:

Constant Field Values

Constructor Detail

ApproximateDensityDistribution

public ApproximateDensityDistribution(org.apache.commons.math3.distribution.RealDistribution dist,
                                      boolean sample)

ApproximateDensityDistribution

public ApproximateDensityDistribution(org.apache.commons.math3.distribution.RealDistribution dist,
                                      int points,
                                      double cutoffBelow,
                                      boolean sample)

Approximates a distribution with a density piecewise line through some sample density points

Parameters:

dist -

ApproximateDensityDistribution

public ApproximateDensityDistribution(double[] values,
                                      double min,
                                      double max)

ApproximateDensityDistribution

public ApproximateDensityDistribution(double[] values,
                                      double min,
                                      double max,
                                      double shift)

Method Detail

cumulativeProbability

public double cumulativeProbability(double x)

Specified by:

cumulativeProbability in interface org.apache.commons.math3.distribution.RealDistribution

density

public double density(double x)

Specified by:

density in interface org.apache.commons.math3.distribution.RealDistribution

value

public double value(double x)

Specified by:

value in interface org.apache.commons.math3.analysis.UnivariateFunction

getNumericalMean

public double getNumericalMean()

Specified by:

getNumericalMean in interface org.apache.commons.math3.distribution.RealDistribution

getNumericalVariance

public double getNumericalVariance()

Specified by:

getNumericalVariance in interface org.apache.commons.math3.distribution.RealDistribution

getSupportLowerBound

public double getSupportLowerBound()

Specified by:

getSupportLowerBound in interface org.apache.commons.math3.distribution.RealDistribution

getSupportUpperBound

public double getSupportUpperBound()

Specified by:

getSupportUpperBound in interface org.apache.commons.math3.distribution.RealDistribution

isSupportConnected

public boolean isSupportConnected()

Specified by:

isSupportConnected in interface org.apache.commons.math3.distribution.RealDistribution

isSupportLowerBoundInclusive

public boolean isSupportLowerBoundInclusive()

Specified by:

isSupportLowerBoundInclusive in interface org.apache.commons.math3.distribution.RealDistribution

isSupportUpperBoundInclusive

public boolean isSupportUpperBoundInclusive()

Specified by:

isSupportUpperBoundInclusive in interface org.apache.commons.math3.distribution.RealDistribution

sample

public double sample()

Specified by:

sample in interface org.apache.commons.math3.distribution.RealDistribution

Overrides:

sample in class org.apache.commons.math3.distribution.AbstractRealDistribution

sample

public double[] sample(int sampleSize)

Specified by:

sample in interface org.apache.commons.math3.distribution.RealDistribution

Overrides:

sample in class org.apache.commons.math3.distribution.AbstractRealDistribution