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Posted to issues@commons.apache.org by "Rob Tompkins (JIRA)" <ji...@apache.org> on 2017/04/22 14:21:04 UTC
[jira] [Updated] (MATH-1386) EPSILON value in
org.apache.commons.math.util.MathUtils seems like half of what it should
be
[ https://issues.apache.org/jira/browse/MATH-1386?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Rob Tompkins updated MATH-1386:
-------------------------------
Fix Version/s: 4.X
> EPSILON value in org.apache.commons.math.util.MathUtils seems like half of what it should be
> ---------------------------------------------------------------------------------------------
>
> Key: MATH-1386
> URL: https://issues.apache.org/jira/browse/MATH-1386
> Project: Commons Math
> Issue Type: Wish
> Environment: win 7
> Reporter: Brian S. McCormick
> Priority: Trivial
> Fix For: 4.X
>
> Original Estimate: 1h
> Remaining Estimate: 1h
>
> I've always used 1.1920929E-7 for dealing with float epsilon values. When dealing with double I've always used 2.220446049250313E-16 for epsilon.
> You have it defined in org.apache.commons.math.util.MathUtils as 1.1102230246251565E-16 which is half what I think it should be.
> I come up with these numbers using the following:
> float fEps = Float.intBitsToFloat(Float.floatToIntBits(1f) + 1) - 1;
> double dEps = Double.longBitsToDouble(Double.doubleToLongBits(1) + 1) - 1;
> Am I correct? I don't really know. I do know that float epsilon in every legacy C/C++ compiler etc I have ever used is defined as about 1e-7 and this is the value using the formula for fEps above. When I started doing comps using doubles instead of floats I started using the formula for dEps above which looks to me like the equivalent for double numbers.
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