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commit 57ac9f078a43ef062f2a4faa6a78462f8ed42e05 Author: Alex Herbert <[email protected]> AuthorDate: Tue Jul 30 21:13:34 2019 +0100 RNG-110: Fix javadoc and formatting. --- .../sampling/distribution/AhrensDieterExponentialSampler.java | 2 +- .../distribution/AhrensDieterMarsagliaTsangGammaSampler.java | 8 ++++---- .../rng/sampling/distribution/BoxMullerLogNormalSampler.java | 2 +- .../commons/rng/sampling/distribution/GeometricSampler.java | 10 +++++----- 4 files changed, 11 insertions(+), 11 deletions(-) diff --git a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/AhrensDieterExponentialSampler.java b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/AhrensDieterExponentialSampler.java index e8ad681..b6d23d3 100644 --- a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/AhrensDieterExponentialSampler.java +++ b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/AhrensDieterExponentialSampler.java @@ -143,7 +143,7 @@ public class AhrensDieterExponentialSampler } /** - * Create a new Exponential distribution sampler. + * Create a new exponential distribution sampler. * * @param rng Generator of uniformly distributed random numbers. * @param mean Mean of the distribution. diff --git a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/AhrensDieterMarsagliaTsangGammaSampler.java b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/AhrensDieterMarsagliaTsangGammaSampler.java index db52483..dc565f0 100644 --- a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/AhrensDieterMarsagliaTsangGammaSampler.java +++ b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/AhrensDieterMarsagliaTsangGammaSampler.java @@ -19,7 +19,7 @@ package org.apache.commons.rng.sampling.distribution; import org.apache.commons.rng.UniformRandomProvider; /** - * Sampling from the <a href="http://mathworld.wolfram.com/GammaDistribution.html";>Gamma distribution</a>. + * Sampling from the <a href="http://mathworld.wolfram.com/GammaDistribution.html";>gamma distribution</a>. * <ul> * <li> * For {@code 0 < alpha < 1}: @@ -303,7 +303,7 @@ public class AhrensDieterMarsagliaTsangGammaSampler } /** - * Creates a new Gamma distribution sampler. + * Creates a new gamma distribution sampler. * * @param rng Generator of uniformly distributed random numbers. * @param alpha Alpha parameter of the distribution (this is a shape parameter). @@ -312,8 +312,8 @@ public class AhrensDieterMarsagliaTsangGammaSampler * @throws IllegalArgumentException if {@code alpha <= 0} or {@code theta <= 0} */ public static SharedStateContinuousSampler of(UniformRandomProvider rng, - double alpha, - double theta) { + double alpha, + double theta) { // Each sampler should check the input arguments. return alpha < 1 ? new AhrensDieterGammaSampler(rng, alpha, theta) : diff --git a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/BoxMullerLogNormalSampler.java b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/BoxMullerLogNormalSampler.java index d4177d1..dae2155 100644 --- a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/BoxMullerLogNormalSampler.java +++ b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/BoxMullerLogNormalSampler.java @@ -47,7 +47,7 @@ public class BoxMullerLogNormalSampler double shape) { super(null); sampler = LogNormalSampler.of(BoxMullerNormalizedGaussianSampler.of(rng), - scale, shape); + scale, shape); } /** {@inheritDoc} */ diff --git a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/GeometricSampler.java b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/GeometricSampler.java index a3f3339..e701e72 100644 --- a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/GeometricSampler.java +++ b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/GeometricSampler.java @@ -133,15 +133,15 @@ public final class GeometricSampler { private GeometricSampler() {} /** - * Creates a new geometric distribution sampler. The samples will be provided in - * the set {@code k=[0, 1, 2, ...]} where {@code k} indicates the number of - * failures before the first success. + * Creates a new geometric distribution sampler. The samples will be provided in the set + * {@code k=[0, 1, 2, ...]} where {@code k} indicates the number of failures before the first + * success. * * @param rng Generator of uniformly distributed random numbers. * @param probabilityOfSuccess The probability of success. * @return the sampler - * @throws IllegalArgumentException if {@code probabilityOfSuccess} is not in - * the range {@code [0 < probabilityOfSuccess <= 1]}) + * @throws IllegalArgumentException if {@code probabilityOfSuccess} is not in the range + * {@code [0 < probabilityOfSuccess <= 1]}) */ public static SharedStateDiscreteSampler of(UniformRandomProvider rng, double probabilityOfSuccess) {
