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https://issues.apache.org/jira/browse/MAHOUT-653?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13018173#comment-13018173
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Lance Norskog commented on MAHOUT-653:
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This is a usability trick: coders will try to stay on "the good side" of 1.0
but may stray over the line a bit. Adding "slop barriers" allows that code to
keep working, while still complaining when the coder completely blows it.
The approximations are about 3% wrong at 1.0 and drive towards exact as n moves
away from 1.0. They are 4-5% wrong at the "slop barriers".
> Approximations to standard functions
> ------------------------------------
>
> Key: MAHOUT-653
> URL: https://issues.apache.org/jira/browse/MAHOUT-653
> Project: Mahout
> Issue Type: New Feature
> Reporter: Lance Norskog
> Attachments: Approximations.java, MAHOUT-653.patch, MAHOUT-653.patch
>
>
> These give approximate versions of pow(value, exponent), exp(value), and
> natural log(value).
> log() and exp() stolen from:
> [http://martin.ankerl.com/2007/02/11/optimized-exponential-functions-for-java/]
> pow() stolen from:
> [http://martin.ankerl.com/2007/10/04/optimized-pow-approximation-for-java-and-c-c/]
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