SSJ API Documentation
Stochastic Simulation in Java
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umontreal.ssj.mcqmctools.anova.QMCSampler Class Reference

QMC sampler. More...

Inheritance diagram for umontreal.ssj.mcqmctools.anova.QMCSampler:
umontreal.ssj.mcqmctools.anova.Sampler

Public Member Functions

int getNumSimulationsPerSample ()
 Returns the number of times the model is simulated each time a sample is produced.
int getNumSamples ()
 Returns the number of samples produced each time the simulateRuns() method is called.
void simulateRuns (MonteCarloModelDouble model, Tally collector)

Package Functions

public< E > void simulateRuns (MonteCarloModel<? extends E > model, ObservationCollector< E > collector)

Detailed Description

QMC sampler.

The samples produced by this sampler are deterministic.

Definition at line 13 of file QMCSampler.java.

Member Function Documentation

◆ getNumSamples()

int umontreal.ssj.mcqmctools.anova.QMCSampler.getNumSamples ( )

Returns the number of samples produced each time the simulateRuns() method is called.

Implements umontreal.ssj.mcqmctools.anova.Sampler.

Definition at line 31 of file QMCSampler.java.

◆ getNumSimulationsPerSample()

int umontreal.ssj.mcqmctools.anova.QMCSampler.getNumSimulationsPerSample ( )

Returns the number of times the model is simulated each time a sample is produced.

Implements umontreal.ssj.mcqmctools.anova.Sampler.

Definition at line 26 of file QMCSampler.java.

◆ simulateRuns() [1/2]

public< E > void umontreal.ssj.mcqmctools.anova.QMCSampler.simulateRuns ( MonteCarloModel<? extends E > model,
ObservationCollector< E > collector )
package

Implements umontreal.ssj.mcqmctools.anova.Sampler.

Definition at line 39 of file QMCSampler.java.

◆ simulateRuns() [2/2]

void umontreal.ssj.mcqmctools.anova.QMCSampler.simulateRuns ( MonteCarloModelDouble model,
Tally collector )

Implements umontreal.ssj.mcqmctools.anova.Sampler.

Definition at line 51 of file QMCSampler.java.


The documentation for this class was generated from the following file: