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https://issues.apache.org/jira/browse/MATH-866?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Gilles resolved MATH-866.
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Resolution: Fixed
Fix Version/s: 3.1
Committed revision 1387941.
> New method to compute relative deviation between two floating numbers
> ---------------------------------------------------------------------
>
> Key: MATH-866
> URL: https://issues.apache.org/jira/browse/MATH-866
> Project: Commons Math
> Issue Type: Improvement
> Affects Versions: 3.1
> Reporter: Yannick TANGUY
> Fix For: 3.1
>
>
> A new method to compute a relative deviation would be very useful.
> In order to handle properly odd values (O+,0-,NaN,Infinity), we suggest to
> call first the classical equals() method (strict equality, using one ulp as a
> threshold) and then the relative tolerance.
> Here is the code we use :
> public static boolean equalsWithRelativeTolerance(final double x, final
> double y, final double eps) {
> // Initialisation
> boolean isEqual = false;
> // very close (including both equals 0.0) case
> if (equals(x, y)) {
> isEqual = true;
> }
> // common case
> else {
> // Relative difference computation
> final double absoluteMax = FastMath.max(FastMath.abs(x),
> FastMath.abs(y));
> final double relativeDifference = FastMath.abs((x - y) /
> absoluteMax);
> //test
> if (relativeDifference < eps) {
> isEqual = true;
> }
> }
> return isEqual;
> }
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