[commons-statistics] branch master updated: Use a ZigguratSampler.NormalizedGaussian

[aherbert]

This is an automated email from the ASF dual-hosted git repository.

aherbert pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/commons-statistics.git


The following commit(s) were added to refs/heads/master by this push:
     new dcdd7e0  Use a ZigguratSampler.NormalizedGaussian
dcdd7e0 is described below

commit dcdd7e0c3cf787c0d33ef9ec265005a66283dab2
Author: aherbert <aherb...@apache.org>
AuthorDate: Fri Sep 17 17:09:14 2021 +0100

    Use a ZigguratSampler.NormalizedGaussian
---
 .../apache/commons/statistics/distribution/LogNormalDistribution.java | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git 
a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/LogNormalDistribution.java
 
b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/LogNormalDistribution.java
index a78ed49..00cfada 100644
--- 
a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/LogNormalDistribution.java
+++ 
b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/LogNormalDistribution.java
@@ -21,7 +21,7 @@ import org.apache.commons.numbers.gamma.ErfDifference;
 import org.apache.commons.numbers.gamma.Erfc;
 import org.apache.commons.rng.UniformRandomProvider;
 import org.apache.commons.rng.sampling.distribution.LogNormalSampler;
-import 
org.apache.commons.rng.sampling.distribution.ZigguratNormalizedGaussianSampler;
+import org.apache.commons.rng.sampling.distribution.ZigguratSampler;
 
 /**
  * Implementation of the <a 
href="http://en.wikipedia.org/wiki/Log-normal_distribution";>log-normal 
distribution</a>.
@@ -254,6 +254,6 @@ public class LogNormalDistribution extends 
AbstractContinuousDistribution {
     @Override
     public ContinuousDistribution.Sampler createSampler(final 
UniformRandomProvider rng) {
         // Log normal distribution sampler.
-        return LogNormalSampler.of(ZigguratNormalizedGaussianSampler.of(rng), 
mu, sigma)::sample;
+        return LogNormalSampler.of(ZigguratSampler.NormalizedGaussian.of(rng), 
mu, sigma)::sample;
     }
 }