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Gilles commented on MATH-1471: ------------------------------ Hi Tom. It's great that you want to contribute to the project but please read [how to do it|http://commons.apache.org/proper/commons-math/developers.html] (see especially the paragraph on using "git") in order to make it easy for us to apply the necessary changes. I don't know the steps for generating a PR on Github but if you post on the ["dev" mailing list|http://commons.apache.org/proper/commons-math/mail-lists.html] asking for help, I hope that someone can explain them. {quote}Here is the pull request link! {quote} Sorry but it is just a link to a ZIP file (same as you attached here, I guess) whereas it should only contain a "diff" wrt the "master" branch. In particular, the provided unit test should be a patch to apply to the [existing test suite for the class being tested|https://git1-us-west.apache.org/repos/asf?p=commons-math.git;a=blob;f=src/test/java/org/apache/commons/math4/analysis/interpolation/BicubicInterpolatorTest.java;h=bf3195c2a896ad4969b9b9cfa88687a1010fdfe0;hb=HEAD]. > BicubicInterpolatingFunction not interpolating correctly for non discrete y > value > --------------------------------------------------------------------------------- > > Key: MATH-1471 > URL: https://issues.apache.org/jira/browse/MATH-1471 > Project: Commons Math > Issue Type: Bug > Affects Versions: 3.6.1 > Environment: JDK 1.8.0_181 > Reporter: Tom > Priority: Major > Attachments: ApacheCommonsMathBiInterpolationTests.zip, > Interpolate.java, InterpolateTest.java > > > Upon performing a bicubic interpolation with two point (x0, y0) and (x1, y1), > the returned bicubic interpolating function returned returns the same result > for variations in the estimated y value. > For example, my inputs are (20, 20) and (25, 25) with f(20, 20) = 64 and > f(25, 25) = 6468. > When I get the bicubic interpolating function for this and vary the estimated > x, it works fine. For (21, 20), the function returns 730.016. When I input > (20, 21), the function returns 64, which is f(20, 20). For any y value in > between 20 and 25, the result is 64. This is the case for any function for > which the y estimate is different from the value on the points. > In other instances, it is varying x values that result in the same result > while varying y estimates seem to work as expected. -- This message was sent by Atlassian JIRA (v7.6.3#76005)