polyVal2D and polyFit2D
Often it's necessary to fit or evaluate a function with 2 dimensions. Use polyFit2D.m to fit a 2D polynomila to data and polyVal2D.m to evaluate it. Fun!
These functions are explained in detail here:
http://poquitopicante.blogspot.com/2013/03/horners-method-in-2d.html
They are also hosted in a Gist on Github here:
https://gist.github.com/mikofski/5159267
Cite As
Mark Mikofski (2021). polyVal2D and polyFit2D (https://www.mathworks.com/matlabcentral/fileexchange/41097-polyval2d-and-polyfit2d), MATLAB Central File Exchange. Retrieved .
Comments and Ratings (5)
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- MATLAB > Mathematics > Elementary Math > Polynomials >
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Acknowledgements
Inspired by: 2D Weighted Polynomial Fitting and Evaluation, polyfitn
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Briljant! Thank you so much! :)
assert(all((n+1)*(m+1)<=Npoints)......
'Degree must be smaller than number of data poiints.')
work also fine when Degree must be smaller "or equal" than number of data
Much better than the personal one I wrote.