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Minor edit / format improvement to description.
git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@1462703 13f79535-47bb-0310-9956-ffa450edef68
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@ -52,23 +52,23 @@ If the output is not quite correct, check for invisible trailing spaces!
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<body>
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<release version="3.2" date="2013-04-03" description="
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This is a minor release: It combines bug fixes and new features.
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Changes to existing features were made in a backwards-compatible
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way such as to allow drop-in replacement of the v3.1[.1] JAR file.
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Changes to existing features were made in a backwards-compatible
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way such as to allow drop-in replacement of the v3.1[.1] JAR file.
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Most notable among the new features are: Framework for automatic
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differentiation, Lévy distribution, prime numbers, enumerated
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distributions, real field allowing to use several algorithms
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(solvers, linear algebra, 3D geometry) with different real-like
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classes (high accuracy or automatic differentiation), spherical
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coordinates with gradients and Hessians, reorganized clustering
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package with different distance implementations.
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Most notable among the new features are: Framework for automatic
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differentiation, Lévy distribution, prime numbers, enumerated
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distributions, real field allowing to use several algorithms
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(solvers, linear algebra, 3D geometry) with different real-like
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classes (high accuracy or automatic differentiation), spherical
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coordinates with gradients and Hessians, reorganized clustering
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package with different distance implementations.
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The minimal version of the Java platform required to compile and use
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Commons Math is Java 5.
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The minimum version of the Java platform required to compile and use
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Commons Math is Java 5.
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Users are encouraged to upgrade to this version as this release not
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only includes bug fixes but also deprecates numerous classes and
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methods that will be deleted from the next major release (4.0).
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Users are encouraged to upgrade to this version as this release not
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only includes bug fixes but also deprecates numerous classes and
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methods that will be deleted from the next major release (4.0).
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Caveat:
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1. The implementation of the BOBYQA optimization algorithm is in alpha
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