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Posted to commits@commons.apache.org by er...@apache.org on 2017/10/11 08:45:33 UTC
[06/10] commons-rng git commit: RNG-37: Javadoc
RNG-37: 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/2baae6cf
Tree: http://git-wip-us.apache.org/repos/asf/commons-rng/tree/2baae6cf
Diff: http://git-wip-us.apache.org/repos/asf/commons-rng/diff/2baae6cf
Branch: refs/heads/master
Commit: 2baae6cf4c3cd3673232530b0fbb71d6e31e48b3
Parents: 77a3d8b
Author: Olga Kirillova <ol...@revunit.com>
Authored: Tue Oct 10 15:53:33 2017 -0700
Committer: Olga Kirillova <ol...@revunit.com>
Committed: Tue Oct 10 16:06:54 2017 -0700
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.../sampling/distribution/ZigguratGaussianSampler.java | 10 +++-------
1 file changed, 3 insertions(+), 7 deletions(-)
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http://git-wip-us.apache.org/repos/asf/commons-rng/blob/2baae6cf/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/ZigguratGaussianSampler.java
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diff --git a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/ZigguratGaussianSampler.java b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/ZigguratGaussianSampler.java
index 7640f36..a4830c6 100644
--- a/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/ZigguratGaussianSampler.java
+++ b/commons-rng-sampling/src/main/java/org/apache/commons/rng/sampling/distribution/ZigguratGaussianSampler.java
@@ -44,15 +44,11 @@ public class ZigguratGaussianSampler
* the rightmost 8 bits of j. If j < k_i return x = j * w_i.
*/
- /* @param KN - an auxiliary table of integers, k_i = 2^32*(x_{i-1}/x_i) */
+ /** An auxiliary table of integers, k_i = 2^32*(x_{i-1}/x_i) */
private static final int[] KN = new int[128];
- /* @param WN - table of doubles, w_i = x_i/2^32 */
+ /** The table of doubles, w_i = x_i/2^32 */
private static final double[] WN = new double[128];
- /**
- * This is a Javadoc. @param FN - the function values table
- * (normalized gaussian in this implementation)
- * f_i(x_i) = exp(-x_i^2/2)
- */
+ /** The function values table (normalized gaussian in this implementation) f_i(x_i) = exp(-x_i^2/2) */
private static final double[] FN = new double[128];
/**