Alex Herbert created RNG-146:
--------------------------------
Summary: GaussianSampler should not allow infinite standard
deviation
Key: RNG-146
URL: https://issues.apache.org/jira/browse/RNG-146
Project: Commons RNG
Issue Type: Bug
Components: sampling
Affects Versions: 1.3
Reporter: Alex Herbert
The GaussianSampler requires the standard deviation is strictly positive. It
allows an infinite value. This will produce a NaN output if the
NormalizedGaussianSampler returns 0:
{code:java}
@Test
public void testInfiniteStdDev() {
NormalizedGaussianSampler gauss = new NormalizedGaussianSampler() {
@Override
public double sample() {
return 0;
}
};
GaussianSampler s = new GaussianSampler(gauss, 0, Double.POSITIVE_INFINITY);
Assert.assertEquals(Double.NaN, s.sample(), 0.0);
}
{code}
A fix is to require the standard deviation is finite.
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