Re: Surface Smoothing
- To: mathgroup at smc.vnet.net
- Subject: [mg127638] Re: Surface Smoothing
- From: "Nicholas Kormanik" <nkormanik at gmail.com>
- Date: Thu, 9 Aug 2012 03:53:03 -0400 (EDT)
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Good point, Kevin. The spiky behavior does make things rather scary. By incorporating additional factors (beyond the two in the contour map) I hope to minimize the bad spikes, and maximize the good ones. For now, though, I hope to find a relatively decent "neighborhood," should such actually exist - i.e., the "sweet spot." An analogy might be: A dangerous minefield. If I absolutely have to walk through it, I'd like to try to ascertain the path with the lowest probability of being blown up. Nicholas Kormanik -----Original Message----- From: Kevin J. McCann [mailto:kjm at KevinMcCann.com] Sent: Tuesday, August 07, 2012 9:16 AM To: nkormanik at gmail.com Subject: [mg127638] Re: Surface Smoothing Any smoothing implicitly assumes that you "know" what the data should look like. So, I assume that you know that the spiky behavior is not "correct". Given that, how about a LSQ fit to some satisfactorily smooth function, e.g. a 2d polynomial or a truncated Fourier series? Kevin