edu.umd.cs.psl.sampler

Class LinearSampler

java.lang.Object

edu.umd.cs.psl.sampler.AbstractHitAndRunSampler

edu.umd.cs.psl.sampler.LinearSampler

All Implemented Interfaces:

Sampler

Direct Known Subclasses:

MarginalSampler

public abstract class LinearSampler
extends AbstractHitAndRunSampler

Field Summary

Fields inherited from class edu.umd.cs.psl.sampler.AbstractHitAndRunSampler

currentPt, defaultBurnInStepsPercentage, defaultMaxNoSteps, defaultSignificantDigits

Constructor Summary

Constructors

Constructor and Description
LinearSampler(int maxNoSteps, int significantDigits)

Method Summary

Methods

Modifier and Type	Method and Description
protected double	sampleAlpha(org.ujmp.core.Matrix direction, org.ujmp.core.Matrix Aobj, org.ujmp.core.Matrix objConst, double alphaLow, double alphaHigh)

Methods inherited from class edu.umd.cs.psl.sampler.AbstractHitAndRunSampler

getIndex, getNoSamples, getorSetIndex, getStatistics, processNewDimension, processSampledPoint, sample

Methods inherited from class java.lang.Object

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

Constructor Detail

LinearSampler

public LinearSampler(int maxNoSteps,
             int significantDigits)

Method Detail

sampleAlpha

protected double sampleAlpha(org.ujmp.core.Matrix direction,
                 org.ujmp.core.Matrix Aobj,
                 org.ujmp.core.Matrix objConst,
                 double alphaLow,
                 double alphaHigh)

Specified by:

sampleAlpha in class AbstractHitAndRunSampler