[jira] [Commented] (MATH-1650) Add clamped spline interpolation
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https://issues.apache.org/jira/browse/MATH-1650?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17628306#comment-17628306
]
Michael Scholz commented on MATH-1650:
--
Thanks Gilles for your feedback! My initial thought was to sketch this new
class in order to get a general first feedback if this approach is viable from
the design perspective (subclass with overloaded {{interpolate()}} function).
If it complies with your expectations, I can start working on tests :)
> 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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[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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[jira] [Created] (MATH-1650) Add clamped spline interpolation
Michael Scholz created MATH-1650:
Summary: 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
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|[https://lists.apache.org/thread/34qnx4tgjbyv345lgmd57g0bnlnwdzc8]]
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