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Posted to commits@commons.apache.org by er...@apache.org on 2016/11/29 11:32:34 UTC
[23/50] commons-rng git commit: Javadoc.
Javadoc.
Project: http://git-wip-us.apache.org/repos/asf/commons-rng/repo
Commit: http://git-wip-us.apache.org/repos/asf/commons-rng/commit/886a38fe
Tree: http://git-wip-us.apache.org/repos/asf/commons-rng/tree/886a38fe
Diff: http://git-wip-us.apache.org/repos/asf/commons-rng/diff/886a38fe
Branch: refs/heads/1.0-release
Commit: 886a38fe6d7eadf767e1786ef15bc8bc4031ffe4
Parents: a53ed06
Author: Gilles <er...@apache.org>
Authored: Sun Nov 27 04:13:50 2016 +0100
Committer: Gilles <er...@apache.org>
Committed: Sun Nov 27 04:13:50 2016 +0100
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.../distribution/InverseTransformContinuousSampler.java | 12 ++++++------
.../distribution/InverseTransformDiscreteSampler.java | 12 ++++++------
2 files changed, 12 insertions(+), 12 deletions(-)
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http://git-wip-us.apache.org/repos/asf/commons-rng/blob/886a38fe/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/InverseTransformContinuousSampler.java
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diff --git a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/InverseTransformContinuousSampler.java b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/InverseTransformContinuousSampler.java
index 0f6e727..c95bcec 100644
--- a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/InverseTransformContinuousSampler.java
+++ b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/InverseTransformContinuousSampler.java
@@ -32,7 +32,7 @@ import org.apache.commons.rng.UniformRandomProvider;
* import org.apache.commons.math3.distribution.ChiSquaredDistribution;
*
* import org.apache.commons.rng.simple.RandomSource;
- * import org.apache.commons.rng.sampling.ContinuousSampler;
+ * import org.apache.commons.rng.sampling.distribution.ContinuousSampler;
* import org.apache.commons.rng.sampling.distribution.InverseTransformContinuousSampler;
* import org.apache.commons.rng.sampling.distribution.ContinuousInverseCumulativeProbabilityFunction;
*
@@ -41,11 +41,11 @@ import org.apache.commons.rng.UniformRandomProvider;
* // Create the sampler.
* final ContinuousSampler chiSquareSampler =
* new InverseTransformContinuousSampler(RandomSource.create(RandomSource.MT),
- * new ContinuousInverseCumulativeProbabilityFunction() {
- * public double inverseCumulativeProbability(double p) {
- * return dist.inverseCumulativeProbability(p);
- * }
- * });
+ * new ContinuousInverseCumulativeProbabilityFunction() {
+ * public double inverseCumulativeProbability(double p) {
+ * return dist.inverseCumulativeProbability(p);
+ * }
+ * });
*
* // Generate random deviate.
* double random = chiSquareSampler.sample();
http://git-wip-us.apache.org/repos/asf/commons-rng/blob/886a38fe/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/InverseTransformDiscreteSampler.java
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diff --git a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/InverseTransformDiscreteSampler.java b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/InverseTransformDiscreteSampler.java
index e22f273..4b5b0e7 100644
--- a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/InverseTransformDiscreteSampler.java
+++ b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/InverseTransformDiscreteSampler.java
@@ -32,7 +32,7 @@ import org.apache.commons.rng.UniformRandomProvider;
* import org.apache.commons.math3.distribution.BinomialDistribution;
*
* import org.apache.commons.rng.simple.RandomSource;
- * import org.apache.commons.rng.sampling.DiscreteSampler;
+ * import org.apache.commons.rng.sampling.distribution.DiscreteSampler;
* import org.apache.commons.rng.sampling.distribution.InverseTransformDiscreteSampler;
* import org.apache.commons.rng.sampling.distribution.DiscreteInverseCumulativeProbabilityFunction;
*
@@ -41,11 +41,11 @@ import org.apache.commons.rng.UniformRandomProvider;
* // Create the sampler.
* final DiscreteSampler binomialSampler =
* new InverseTransformDiscreteSampler(RandomSource.create(RandomSource.MT),
- * new DiscreteInverseCumulativeProbabilityFunction() {
- * public int inverseCumulativeProbability(double p) {
- * return dist.inverseCumulativeProbability(p);
- * }
- * });
+ * new DiscreteInverseCumulativeProbabilityFunction() {
+ * public int inverseCumulativeProbability(double p) {
+ * return dist.inverseCumulativeProbability(p);
+ * }
+ * });
*
* // Generate random deviate.
* int random = binomialSampler.sample();