Author: psteitz
Date: Sun Jul 24 18:46:20 2011
New Revision: 1150462
URL: http://svn.apache.org/viewvc?rev=1150462&view=rev
Log:
Javadoc, removed commented out code.
Modified:
commons/proper/math/trunk/src/main/java/org/apache/commons/math/random/RandomDataImpl.java
Modified:
commons/proper/math/trunk/src/main/java/org/apache/commons/math/random/RandomDataImpl.java
URL:
http://svn.apache.org/viewvc/commons/proper/math/trunk/src/main/java/org/apache/commons/math/random/RandomDataImpl.java?rev=1150462&r1=1150461&r2=1150462&view=diff
==============================================================================
---
commons/proper/math/trunk/src/main/java/org/apache/commons/math/random/RandomDataImpl.java
(original)
+++
commons/proper/math/trunk/src/main/java/org/apache/commons/math/random/RandomDataImpl.java
Sun Jul 24 18:46:20 2011
@@ -674,18 +674,20 @@ public class RandomDataImpl implements R
}
/**
- * Generates a random value from the {@link GammaDistributionImpl Gamma
Distribution}.
+ * <p>Generates a random value from the
+ * {@link org.apache.commons.math.distribution.GammaDistributionImpl Gamma
Distribution}.</p>
*
- * This implementation uses the following algorithms:
+ * <p>This implementation uses the following algorithms: </p>
*
- * For 0 < shape < 1:
- * [1]: Ahrens, J. H. and Dieter, U. (1974). Computer methods for
- * sampling from gamma, beta, Poisson and binomial distributions.
- * Computing, 12, 223-246.
- *
- * For shape >= 1:
- * [2]: Marsaglia and Tsang (2001). A Simple Method for Generating
- * Gamma Variables. ACM Transactions on Mathematical Software, 26,
+ * <p>For 0 < shape < 1: <br/>
+ * Ahrens, J. H. and Dieter, U., <i>Computer methods for
+ * sampling from gamma, beta, Poisson and binomial distributions.</i>
+ * Computing, 12, 223-246, 1974.</p>
+ *
+ * <p>For shape >= 1: <br/>
+ * Marsaglia and Tsang, <i>A Simple Method for Generating
+ * Gamma Variables.</i> ACM Transactions on Mathematical Software,
+ * Volume 26 Issue 3, September, 2000.</p>
*
* @param shape the median of the Gamma distribution
* @param scale the scale parameter of the Gamma distribution
@@ -695,12 +697,6 @@ public class RandomDataImpl implements R
*/
public double nextGamma(double shape, double scale) throws MathException {
if (shape < 1) {
- /*
- final double gamma = this.nextOldGamma(1 + shape, scale);
- final double u = this.nextUniform(0, 1);
- return gamma * FastMath.pow(u, 1/shape);
- */
-
// [1]: p. 228, Algorithm GS
while (true) {
