de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.abstracts

Class AbstractMultiStateTransitionDistributionIndep<T extends Copyable<?>>

java.lang.Object

de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.abstracts.AbstractMultiStateTransitionDistribution<T>

de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.abstracts.AbstractMultiStateTransitionDistributionIndep<T>

Type Parameters:

T -

All Implemented Interfaces:

ConditionalDistribution<AbstractMultiState<T>>, IndependentSamplingDistribution<AbstractMultiState<T>>, SamplingDistribution<AbstractMultiState<T>>

Direct Known Subclasses:

MultiStateLinTransDistributionIndepGaussians

public abstract class AbstractMultiStateTransitionDistributionIndep<T extends Copyable<?>>
extends AbstractMultiStateTransitionDistribution<T>
implements IndependentSamplingDistribution<AbstractMultiState<T>>

Abstract class of multi-target state transition distribution with independent targets.

Author:

Oliver Gress

Field Summary

Fields inherited from class de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.abstracts.AbstractMultiStateTransitionDistribution

condX, factoryX

Constructor Summary

Constructors

Constructor and Description
AbstractMultiStateTransitionDistributionIndep(AbstractMultiState<T> X, AbstractMultiStateFactory<T> factoryX)

Method Summary

Modifier and Type	Method and Description
abstract AbstractMultiState<T>	drawSample() Generate a new sample from this density.
abstract AbstractMultiState<T>	drawSample(int i, AbstractMultiState<T> X) Generate a new sample from this density by drawing only one independent variable for a given realization x.

Methods inherited from class de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.abstracts.AbstractMultiStateTransitionDistribution

getCondition, setCondition

Methods inherited from class java.lang.Object

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

Constructor Detail

AbstractMultiStateTransitionDistributionIndep

public AbstractMultiStateTransitionDistributionIndep(AbstractMultiState<T> X,
                                                     AbstractMultiStateFactory<T> factoryX)

Method Detail

drawSample

public abstract AbstractMultiState<T> drawSample(int i,
                                                 AbstractMultiState<T> X)

Description copied from interface: IndependentSamplingDistribution

Generate a new sample from this density by drawing only one independent variable for a given realization x. This method should create a new object.

Specified by:

drawSample in interface IndependentSamplingDistribution<AbstractMultiState<T extends Copyable<?>>>

Parameters:

i - sample a new realization of the i-th element in x

X - realization of a random vector or finite set

Returns:

new sample object

drawSample

public abstract AbstractMultiState<T> drawSample()

Description copied from interface: SamplingDistribution

Generate a new sample from this density. This method should create a new object.

Specified by:

drawSample in interface SamplingDistribution<AbstractMultiState<T extends Copyable<?>>>

Specified by:

drawSample in class AbstractMultiStateTransitionDistribution<T extends Copyable<?>>

Returns:

new sample object