SURFIT

version 1.0.0.0 (569 Bytes) by Vassili Pastushenko
Approximation of a matrix via an optimal bipolynomial of user-defined orders.

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Updated 18 Nov 2004

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You have a data matrix D. You want to find its approximation, matrix SUR same size as D, by a bipolynomial P(X,Y), having orders ORDHOR in horizontal and ORDVER in vertical directions. Bipolynomial is a matrix of coefficients before bipolynomial terms X^(m)*Y(n),
n<=ORDVER
m<=ORDHOR

Solution:

SUR = surfit(D,ORDVER,ORDHOR);

ORDVER: default 1
ORDHOR: default ORDVER

compare the result with:

BIP=bipfit(D,[ORDVER,ORDHOR])
SUR=bipval(BIP,size(D));

Cite As

Vassili Pastushenko (2022). SURFIT (https://www.mathworks.com/matlabcentral/fileexchange/6244-surfit), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R13
Compatible with any release
Platform Compatibility
Windows macOS Linux

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