[jira] [Closed] (MATH-486) FastMath toRadian and toDegree don't handle large double numbers well

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

     [ https://issues.apache.org/jira/browse/MATH-486?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Luc Maisonobe closed MATH-486.
------------------------------


Closing issue as it was included in version 2.2, which has been released

> FastMath toRadian and toDegree don't handle large double numbers well
> ---------------------------------------------------------------------
>
>                 Key: MATH-486
>                 URL: https://issues.apache.org/jira/browse/MATH-486
>             Project: Commons Math
>          Issue Type: Bug
>    Affects Versions: 2.2, 3.0
>            Reporter: Sebb
>             Fix For: 2.2, 3.0
>
>
> FastMath toRadian and toDegree don't handle very large double numbers well.
> For example, toDegrees(Double.MAX_VALUE) => NaN, but it should be INFINITY
> and toRadian(Double.MAX_VALUE) => NaN instead of the proper value
> This is because of the lines:
> {code}
> double temp = x * 1073741824.0; // == 0x40 00 00 00
> double xa = x + temp - temp; // => NaN for x large enough
> {code}
> This seems to be an attempt to split x into a large and a small part, but fails when x >= MAX_VALUE / 1073741824.0
> Not sure how to fix this

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