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Posted to issues@commons.apache.org by "Michael Scholz (Jira)" <ji...@apache.org> on 2022/10/05 16:37:00 UTC

[jira] [Updated] (MATH-1650) Add clamped spline interpolation

     [ https://issues.apache.org/jira/browse/MATH-1650?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Michael Scholz updated MATH-1650:
---------------------------------
    Description: 
We would like to contribute a new _clamped_ spline interpolation function in addition to the already available unclamped spline function. Our new {{ClampedSplineInterpolator}} is based on the same textbook as the original {{{}SplineInterpolator{}}}. The clamped spline offers additional parameterisation of starting and ending slopes (1st derivatives) as boundary conditions in order to provide more flexibility in spline creation.

In this patch we follow the approach of subclassing the original {{SplineInterpolator}} and simply overloading it's {{interpolate()}} function by these two additional parameters. Is this an acceptable way or does the community recommend a different design approach?

After clarifying the basic implementation approach we could also supply necessary tests etc. and finally contribute everything via ordinary GitHub pull request.

Refer to our post on the dev mailing list: https://lists.apache.org/thread/34qnx4tgjbyv345lgmd57g0bnlnwdzc8

 

  was:
We would like to contribute a new _clamped_ spline interpolation function in addition to the already available unclamped spline function. Our new {{ClampedSplineInterpolator}} is based on the same textbook as the original {{{}SplineInterpolator{}}}. The clamped spline offers additional parameterisation of starting and ending slopes (1st derivatives) as boundary conditions in order to provide more flexibility in spline creation.

In this patch we follow the approach of subclassing the original {{SplineInterpolator}} and simply overloading it's {{interpolate()}} function by these two additional parameters. Is this an acceptable way or does the community recommend a different design approach?

After clarifying the basic implementation approach we could also supply necessary tests etc. and finally contribute everything via ordinary GitHub pull request.

Refer to our post on the dev mailing list: [https://lists.apache.org/thread/34qnx4tgjbyv345lgmd57g0bnlnwdzc8|[https://lists.apache.org/thread/34qnx4tgjbyv345lgmd57g0bnlnwdzc8]]

 


> Add clamped spline interpolation
> --------------------------------
>
>                 Key: MATH-1650
>                 URL: https://issues.apache.org/jira/browse/MATH-1650
>             Project: Commons Math
>          Issue Type: New Feature
>    Affects Versions: 4.X
>            Reporter: Michael Scholz
>            Priority: Minor
>              Labels: Polynomials, interpolation, spline
>         Attachments: 2022-10-05_ClampedSplineInterpolator.patch
>
>
> We would like to contribute a new _clamped_ spline interpolation function in addition to the already available unclamped spline function. Our new {{ClampedSplineInterpolator}} is based on the same textbook as the original {{{}SplineInterpolator{}}}. The clamped spline offers additional parameterisation of starting and ending slopes (1st derivatives) as boundary conditions in order to provide more flexibility in spline creation.
> In this patch we follow the approach of subclassing the original {{SplineInterpolator}} and simply overloading it's {{interpolate()}} function by these two additional parameters. Is this an acceptable way or does the community recommend a different design approach?
> After clarifying the basic implementation approach we could also supply necessary tests etc. and finally contribute everything via ordinary GitHub pull request.
> Refer to our post on the dev mailing list: https://lists.apache.org/thread/34qnx4tgjbyv345lgmd57g0bnlnwdzc8
>  



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