Patch 1827826: dgrid3d

[Philipp K. Janert]

I have dusted off patch 1827826 (more smoothing
algorithms for dgrid3d) and made it to work with the
current development version.

Are there any objections to inclusion into the main
branch at this time?

Best,

                Ph.

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[Ethan Merritt]

On Sunday 11 May 2008 20:40, Philipp K. Janert wrote:
>
> I have dusted off patch 1827826 (more smoothing
> algorithms for dgrid3d) and made it to work with the
> current development version.
>
> Are there any objections to inclusion into the main
> branch at this time?

Could you summarize for us what tests you have run to confirm
that it functions as advertised?

Does it gracefully handle missing or non-uniform data?

Should it come with guidance or warnings about which function
is suitable for what data?

Maybe a demo like the one on the Wikipedia page at
http://en.wikipedia.org/wiki/Window_function

--
Ethan A Merritt

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[Philipp K. Janert]

On Sunday 11 May 2008 20:58, Ethan A Merritt wrote:

> On Sunday 11 May 2008 20:40, Philipp K. Janert wrote:
> > I have dusted off patch 1827826 (more smoothing
> > algorithms for dgrid3d) and made it to work with the
> > current development version.
> >
> > Are there any objections to inclusion into the main
> > branch at this time?
>
> Could you summarize for us what tests you have run to confirm
> that it functions as advertised?

I have run the complete gnuplot unit-test suite
against it. ;-)

I have taken some sample data set and tried
the new algorithms out on them and visually
inspected the results. The "gnu-valley" mini
data set from the gnuplot documentation is
pretty informative.

>
> Does it gracefully handle missing or non-uniform data?

Yes. Both of these are features that dgrid3d itself provides,
and which I have not modified. I merely have added some
additional smoothing kernels (and syntax and options to
manage them).

>
> Should it come with guidance or warnings about which function
> is suitable for what data?

I don't think this is really necessary. The Gaussian
kernel is probably the most general, all-purpose
kernel in this patch. I don't want to patronize the
reader, but we can include a sentence like "Unless
you have special needs, the Gaussian kernel is
likely to give satisfactory results."

>
> Maybe a demo like the one on the Wikipedia page at
> http://en.wikipedia.org/wiki/Window_function

I can provide some demos for inclusion into the demo/
folder. I think that is a good idea.

Best,

                Ph.


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