[Scilab-users] "Smoothing" very localised discontinuities in (scilab: to exclusive) curves.

[scilab.20.browseruk at xoxy.net]

Yes.

C:\Motor>graphRdat T HB1M_Core25_No_Field_No_Epoxy_800Am.rdat
    s = splin( h', b', 'monotone' );
                                    !--error 999
splin: Wrong value for input argument #1: Not (strictly) increasing or +-inf detected.
at line      22 of exec file called by :

Since there are no inf values in the data; that kind of implies that it requires 
monotonic input in order to produce monotonic output; which ain't so useful.

That said, I get that same error message whichever variation of the splin() function I try....

Which suggests there's something wrong with my data, but that stupid cos the data is real.
The math has to adapt to the data not the other way around.




> -----Original Message-----
> From: scilab.browseruk.b28bd2e902.jrafaelbguerra#hotmail.com at ob.0sg.net
> Sent: Mon, 4 Apr 2016 11:20:13 +0200
> To: users at lists.scilab.org
> Subject: Re: [Scilab-users] "Smoothing" very localised discontinuities in
> (scilab: to exclusive) curves.
> 
> Hi Buk.
> 
> Have you tried Scilab's cubic splines using the "monotone" option?
> 
> Regards,
> Rafael
> 
> -----Original Message-----
> From: users [mailto:users-bounces at lists.scilab.org] On Behalf Of
> scilab.20.browseruk at xoxy.net
> Sent: Sunday, April 03, 2016 9:09 PM
> To: users at lists.scilab.org
> Subject: [Scilab-users] "Smoothing" very localised discontinuities in
> curves.
> 
> HI,
> 
> The data I'm dealing with is experimentally produced; and thus contains
> occasional, localised discontinuities (inflections), that I need to
> remove
> before that data is suitable for is use in FEM modeling software, which
> requires
> that it be strictly monotonic. The attachment shows the full curve plus a
> close
> up of a couple of examples of the type of discontinuity I need to deal
> with.
> 
> I haven't yet decided whether to simply omit points (thus connect A to F
> & G to
> J) or whether to retain the same number of points by interpolating new
> points
> onto that line as shown in red.
> 
> I've looked and played several of the smoothing, convolution and
> interpolation
> routines that scilab provides, but (besides that I don't understand the
> output
> some of them produce) they also seem to affect the data more than I would
> like.
> Some seem to introduce a 'phase shift'; others smooth out larger scale
> bumps in
> the curve that need to be retained; and others generate many extra points
> which
> I don't think is helpful, the FEM software is going to do its own
> interpolations
> anyway.
> 
> 
> But the bit I'm asking about here is how to detect point A&F and G&J?
> 
> Any thoughts or pointers as to a) the algorithm to use; b) how to
> implement it
> in SciLab?
> 
> Cheers, Buk.
> 
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