Surface Fitting using gridfit 1.0

Operating systemsOS : Windows / Linux / Mac OS / BSD / Solaris
Program licensingScript Licensing : BSD - BSD License
CreatedCreated : Aug 17, 2007
Size downloadDownloads : 4
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Those wishing to model a surface from data in the ...

Those wishing to model a surface from data in the form of z(x, y) from scattered or semi-scattered data have had few option in matlab - mainly griddata.
Griddata is a valuable tool for interpolation of scattered data. However it fails when there are replicates or when the data has many collinear points. Griddata is also unable to extrapolate beyond the convex hull of the data unless the 'v4' option is used, which is slow.
Gridfit solves all of these problems, although it is not an interpolant. It builds a surface over a complete lattice, extrapolating smoothly into the corners. You have control of the amount of smoothing done, as well as interpolation methods, which solver to use, etc.
This release allows the user to solve much larger problems using a new tiling option. There is essentially no limit on the size of the suface one builds now, as long as you have dense enough data and enough memory to store the final gridded surface.
Example uses are found in the file gridfit_demo. m, as well as comparisons to griddata on the same surfaces.

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