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From celes...@apache.org
Subject svn commit: r1379252 - /commons/proper/math/trunk/src/main/java/org/apache/commons/math3/special/Gamma.java
Date Fri, 31 Aug 2012 01:53:19 GMT
Author: celestin
Date: Fri Aug 31 01:53:19 2012
New Revision: 1379252

URL: http://svn.apache.org/viewvc?rev=1379252&view=rev
Log:
Formatting.

Modified:
    commons/proper/math/trunk/src/main/java/org/apache/commons/math3/special/Gamma.java

Modified: commons/proper/math/trunk/src/main/java/org/apache/commons/math3/special/Gamma.java
URL: http://svn.apache.org/viewvc/commons/proper/math/trunk/src/main/java/org/apache/commons/math3/special/Gamma.java?rev=1379252&r1=1379251&r2=1379252&view=diff
==============================================================================
--- commons/proper/math/trunk/src/main/java/org/apache/commons/math3/special/Gamma.java (original)
+++ commons/proper/math/trunk/src/main/java/org/apache/commons/math3/special/Gamma.java Fri
Aug 31 01:53:19 2012
@@ -229,7 +229,7 @@ public class Gamma {
      *     approximation</a></li>
      * </ul>
      *
-     * @param x argument.
+     * @param x Argument.
      * @return the value of {@code log(Gamma(x))}, {@code Double.NaN} if
      * {@code x <= 0.0}.
      */
@@ -493,8 +493,8 @@ public class Gamma {
      * where {@code g} is a constant, returned by {@link #getLanczosG()}.
      * </p>
      *
-     * @param x the argument
-     * @return the Lanczos approximation
+     * @param x Argument.
+     * @return The Lanczos approximation.
      * @see <a href="http://mathworld.wolfram.com/LanczosApproximation.html">Lanczos
Approximation</a>
      * equations (1) through (5), and Paul Godfrey's
      * <a href="http://my.fit.edu/~gabdo/gamma.txt">Note on the computation
@@ -514,8 +514,8 @@ public class Gamma {
      * implementation in the <em>NSWC Library of Mathematics Subroutines</em>,
      * {@code DGAM1}.
      *
-     * @param x the argument
-     * @return the value of {@code 1.0 / Gamma(1.0 + x) - 1.0}
+     * @param x Argument.
+     * @return The value of {@code 1.0 / Gamma(1.0 + x) - 1.0}.
      * @throws NumberIsTooSmallException if {@code x < -0.5}
      * @throws NumberIsTooLargeException if {@code x > 1.5}
      */
@@ -606,12 +606,13 @@ public class Gamma {
      * This implementation is based on the double precision implementation in
      * the <em>NSWC Library of Mathematics Subroutines</em>, {@code DGMLN1}.
      *
-     * @param x the argument
-     * @return the value of {@code log(Gamma(1 + x))}
-     * @throws NumberIsTooSmallException if {@code x < -0.5}
-     * @throws NumberIsTooLargeException if {@code x > 1.5}
+     * @param x Argument.
+     * @return The value of {@code log(Gamma(1 + x))}.
+     * @throws NumberIsTooSmallException if {@code x < -0.5}.
+     * @throws NumberIsTooLargeException if {@code x > 1.5}.
      */
-    public static double logGamma1p(final double x) {
+    public static double logGamma1p(final double x)
+        throws NumberIsTooSmallException, NumberIsTooLargeException {
 
         if (x < -0.5) {
             throw new NumberIsTooSmallException(x, -0.5, true);



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