uk.ac.soton.simulation.jsit.core

Interface ContinuousSampler

All Known Implementing Classes:

DistBernoulli, DistCustomCategorical, DistExponential, DistFixedContinuous, DistGeometric, DistNegativeBinomial, DistNormal, DistPoisson, DistributionCategorical, DistributionContinuous, DistributionDiscrete, DistTriangular, DistUniform, DistUniformDiscrete, DistWeibull

public interface ContinuousSampler

Interface to abstract sampling from a 'continuous distribution'. This allows discrete distributions to be sampled as though continuous; i.e., just return a floating-point (double) value that is always an integer.

Since:

0.2

Author:

Stuart Rossiter

Method Summary

Modifier and Type	Method and Description
double	sampleDouble() Sample from the distribution.

Method Detail

sampleDouble

double sampleDouble()

Sample from the distribution.

Returns:

The double sampled.

Since:

0.2