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https://issues.apache.org/jira/browse/NUMBERS-172?focusedWorklogId=667503&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-667503
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ASF GitHub Bot logged work on NUMBERS-172:
------------------------------------------
Author: ASF GitHub Bot
Created on: 20/Oct/21 08:10
Start Date: 20/Oct/21 08:10
Worklog Time Spent: 10m
Work Description: coveralls edited a comment on pull request #108:
URL: https://github.com/apache/commons-numbers/pull/108#issuecomment-947404713
[](https://coveralls.io/builds/43631781)
Coverage increased (+0.01%) to 99.681% when pulling
**14dda744d17331b228cd895c068271d4bdf5c116 on
aherbert:numbers-172-improvement** into
**99c9ae29ae49634c7c777863f92078a8fad9b41e on apache:master**.
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Issue Time Tracking
-------------------
Worklog Id: (was: 667503)
Time Spent: 0.5h (was: 20m)
> Update the Erf function to use the Boost rational function approximtion
> -----------------------------------------------------------------------
>
> Key: NUMBERS-172
> URL: https://issues.apache.org/jira/browse/NUMBERS-172
> Project: Commons Numbers
> Issue Type: Improvement
> Components: gamma
> Affects Versions: 1.0
> Reporter: Alex Herbert
> Priority: Major
> Time Spent: 0.5h
> Remaining Estimate: 0h
>
> The error function (erf) and complementary error function (erfc) are
> implemented using the continued fraction evaluation performed in the
> regularized gamma P and Q implementation. This is a generic function called
> with a fixed argument of 0.5:
> {noformat}
> erf(x) = gammap(0.5, x*x)
> erfc(x) = gammaq(0.5, x*x)
> {noformat}
> These functions have an implementation in the Boost c++ library using a
> rational function approximation.
> NUMBERS-171 ported the inverse erf functions from Boost with an improvement
> in accuracy and speed. Investigate the use of the corresponding forward erf
> and erfc functions from Boost as replacements for the use of the regularized
> gamma function to evaluate the error function.
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