TruncatedWrapper (StochasticPetriNets)

java.lang.Object
- org.apache.commons.math3.distribution.AbstractRealDistribution
- - org.processmining.plugins.stochasticpetrinet.distribution.AnotherAbstractRealDistribution
  - - org.processmining.plugins.stochasticpetrinet.distribution.RejectionWrapper
    - - org.processmining.plugins.stochasticpetrinet.distribution.TruncatedWrapper

All Implemented Interfaces:

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

Direct Known Subclasses:

MemorylessTruncatedWrapper
```
public class TruncatedWrapper
extends RejectionWrapper
```
A wrapper around a distribution that cuts off a part below a certain threshold RejectionWrapper.constraint and rescales the rest of the distribution to become a valid one again.
This class should be used if samples from the original distribution are unlikely to fall into the region above the RejectionWrapper.constraint. The sampling of random values from this distribution is done by the slice sampling technique.

Author:

Andreas Rogge-Solti

See Also:

for the simpler version building on rejection sampling., Serialized Form

Field Summary

Fields
Modifier and Type Field Description

protected SliceSampler sampler
sampler to sample from constrained distribution directly
- Fields inherited from class org.processmining.plugins.stochasticpetrinet.distribution.RejectionWrapper
  constraint, scale, wrappedDist
- Fields inherited from class org.processmining.plugins.stochasticpetrinet.distribution.AnotherAbstractRealDistribution
  cachedMean, cachedVariance
- Fields inherited from class org.apache.commons.math3.distribution.AbstractRealDistribution
  random, randomData, SOLVER_DEFAULT_ABSOLUTE_ACCURACY

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`void`	`reseedRandomGenerator(long seed)`
`double`	`sample()`	Slice sampling Note that due to floating point arithmetic, too large constraints, i.e.
`double[]`	`sample(int sampleSize)`

Methods inherited from class org.processmining.plugins.stochasticpetrinet.distribution.RejectionWrapper
density, getSupportLowerBound, getSupportUpperBound, isSupportConnected, isSupportLowerBoundInclusive, isSupportUpperBoundInclusive

Methods inherited from class org.processmining.plugins.stochasticpetrinet.distribution.AnotherAbstractRealDistribution
cumulativeProbability, getNumericalMean, getNumericalVariance, value

Methods inherited from class org.apache.commons.math3.distribution.AbstractRealDistribution
cumulativeProbability, getSolverAbsoluteAccuracy, inverseCumulativeProbability, logDensity, probability, probability

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Field Detail
  - sampler
```
protected SliceSampler sampler
```
    sampler to sample from constrained distribution directly
- Method Detail
  - reseedRandomGenerator
```
public void reseedRandomGenerator(long seed)
```
    Specified by:
    
    reseedRandomGenerator in interface org.apache.commons.math3.distribution.RealDistribution
    
    Overrides:
    
    reseedRandomGenerator in class RejectionWrapper
  - sample
```
public double sample()
```
    Slice sampling Note that due to floating point arithmetic, too large constraints, i.e. those where the density of the truncated distribution is 0, will not work!
    
    Specified by:
    
    sample in interface org.apache.commons.math3.distribution.RealDistribution
    
    Overrides:
    
    sample in class RejectionWrapper
    
    Throws:
    
    java.lang.IllegalArgumentException - when constraint is too high, i.e., density is (floating point rounded) zero.
  - sample
```
public double[] sample(int sampleSize)
```
    Specified by:
    
    sample in interface org.apache.commons.math3.distribution.RealDistribution
    
    Overrides:
    
    sample in class RejectionWrapper