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3D Least squares polynomial fit in x and y 1.0
File ID: 78704

3D Least squares polynomial fit in x and y 1.0
File Size: 10.0 KB
 Submit Rating: 3D Least squares polynomial fit in x and y 1.0 Description
Description: Often, measured data is comprised of N sampled values of z, evaluated at N locations (x,y). With this function, you can calculate the coefficients of the best-fit x,y polynomial using a linear least squares approximation.

You can use this function if you have a set of N data triplets x,y,z, and you want to find a polynomial f(x,y) of a specific form (i.e. you know the terms you want to include (e.g. x^2, xy^3, constant, x^-3, etc.) in your fitting polynomial.

O/S:BSD, Linux, Solaris, Mac OS X

File Size: 10.0 KB

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