You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@commons.apache.org by ps...@apache.org on 2013/03/30 06:00:01 UTC
svn commit: r1462703 - /commons/proper/math/trunk/src/changes/changes.xml
Author: psteitz
Date: Sat Mar 30 05:00:01 2013
New Revision: 1462703
URL: http://svn.apache.org/r1462703
Log:
Minor edit / format improvement to description.
Modified:
commons/proper/math/trunk/src/changes/changes.xml
Modified: commons/proper/math/trunk/src/changes/changes.xml
URL: http://svn.apache.org/viewvc/commons/proper/math/trunk/src/changes/changes.xml?rev=1462703&r1=1462702&r2=1462703&view=diff
==============================================================================
--- commons/proper/math/trunk/src/changes/changes.xml (original)
+++ commons/proper/math/trunk/src/changes/changes.xml Sat Mar 30 05:00:01 2013
@@ -52,23 +52,23 @@ If the output is not quite correct, chec
<body>
<release version="3.2" date="2013-04-03" description="
This is a minor release: It combines bug fixes and new features.
- Changes to existing features were made in a backwards-compatible
- way such as to allow drop-in replacement of the v3.1[.1] JAR file.
+ Changes to existing features were made in a backwards-compatible
+ way such as to allow drop-in replacement of the v3.1[.1] JAR file.
- Most notable among the new features are: Framework for automatic
- differentiation, Lévy distribution, prime numbers, enumerated
- distributions, real field allowing to use several algorithms
- (solvers, linear algebra, 3D geometry) with different real-like
- classes (high accuracy or automatic differentiation), spherical
- coordinates with gradients and Hessians, reorganized clustering
- package with different distance implementations.
+Most notable among the new features are: Framework for automatic
+ differentiation, Lévy distribution, prime numbers, enumerated
+ distributions, real field allowing to use several algorithms
+ (solvers, linear algebra, 3D geometry) with different real-like
+ classes (high accuracy or automatic differentiation), spherical
+ coordinates with gradients and Hessians, reorganized clustering
+ package with different distance implementations.
- The minimal version of the Java platform required to compile and use
- Commons Math is Java 5.
+The minimum version of the Java platform required to compile and use
+ Commons Math is Java 5.
- Users are encouraged to upgrade to this version as this release not
- only includes bug fixes but also deprecates numerous classes and
- methods that will be deleted from the next major release (4.0).
+Users are encouraged to upgrade to this version as this release not
+ only includes bug fixes but also deprecates numerous classes and
+ methods that will be deleted from the next major release (4.0).
Caveat:
1. The implementation of the BOBYQA optimization algorithm is in alpha