[jira] Updated: (MATH-375) Elementary functions in JDK are slower than necessary and not as accurate as they could be.

["Luc Maisonobe (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MATH-375?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Luc Maisonobe updated MATH-375:
-------------------------------

    Fix Version/s: 2.2

We need to add this as soon as possible
A patch is available and it includes tests
Setting target version for fix to 2.2

> Elementary functions in JDK are slower than necessary and not as accurate as they could be.
> -------------------------------------------------------------------------------------------
>
>                 Key: MATH-375
>                 URL: https://issues.apache.org/jira/browse/MATH-375
>             Project: Commons Math
>          Issue Type: New Feature
>         Environment: JDK 1.4 - 1.6
>            Reporter: William Rossi
>             Fix For: 2.2
>
>         Attachments: FastMath.tar.gz
>
>
> I would like to contribute improved versions on exp(), log(), pow(), etc.  to the project.  Please refer to this discussion thread http://markmail.org/message/zyeoguw6gwtofm62.
> I have developed over the past year a set of elementary functions similar to those in java.lang.Math, but with the following characteristics:
> * Higher performance.
> * Better accuracy.  Results are accurate to slightly more that +/- 0.5 ULP.
> * Pure Java.  The standard Math class is impleneted via JNI, and thus takes a performance hit.
> Note that some functions such as exp are nearly twice as fast in my implementation.   I've seen it 3 times faster on different processors.   The preformance varies by the relative speed of calculation vs memory lookups.
> The functions are implemented as tables of values in extra precision (approx 70 bits), and then interpolated with a minimax polynomial.

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