How to fit a function with two or more dependant variables (outputs)?

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Ryan Bisbey
Ryan Bisbey 2022-6-2
回答： M Mirrashid 2022-6-5
I have a complex matlab function that takes x -> (y1,y2) based on several passed parameters. I would like to use curve fitting to find the optimal parameters that fit the function to data. Are there any such tools in MATLAB to accomplish this? nlinfit and the others seem to only want to work with a single independant variable column vector and a single dependant variable column vector (i.e. x -> y).
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Ryan Bisbey
Ryan Bisbey 2022-6-2
Thanks for the prompt response @Torsten. With nlinfit when the dependant input is an array not a vector you get the error:
Requires a vector second input argument.
Which results from:
elseif ~isvector(y)
error(message('stats:nlinfit:NonVectorY'));
end
in the nlinfit code. Were you suggesting I use another curve fitting function than nlinfit?
Torsten
Torsten 2022-6-2
编辑：Torsten 2022-6-2
What is the difference between an array and a vector ?
If you enter X and Y as independent and dependent vectors, all should work out fine.

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采纳的回答

Matt J
Matt J 2022-6-2
lsqcurvefit does not care about the dimensionality of the independent or dependant variables.
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Ryan Bisbey
Ryan Bisbey 2022-6-2
编辑：Ryan Bisbey 2022-6-2
@Star Strider, your message was helpful too to confirm that the dimensionality of nlinfit output must be a vector not a matrix. (I think the message is deleted now.) Thanks!

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M Mirrashid
M Mirrashid 2022-6-5

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