multi-vari​able-param​etric data fitting

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Shazux Gharasoo
Shazux Gharasoo on 10 Sep 2014
Commented: Shazux Gharasoo on 11 Sep 2014
I try to fit the following polynomial to a set of data:
myfun =fittype(@(a,b,c,d,e,f,x,y) y.^3-a*x*y.^2-b*y.^2+c*y*x.^2+d*x*y+e*y-f*x, 'ind', {'x' 'y'},'dep','z')
After I ask matlab to fit the function to my data:
myfit = fit([data(:,1),data(:,2)],z,myfun)
I get the following error.
Warning: Start point not provided, choosing random start point.
> In Warning>Warning.throw at 31
In fit>iFit at 320
In fit at 109
Error using fit>iFit (line 415)
Error while trying to evaluate FITTYPE function :
Inner matrix dimensions must agree.
Error in fit (line 109)
[fitobj, goodness, output, convmsg] = iFit( xdatain, ydatain, fittypeobj, ...
Caused by:
Failure in initial user-supplied objective function evaluation. LSQCURVEFIT cannot continue.
What I am doing wrong? data is a matrix of 25x2. which my x is the first column and y is the second. z is defined as
Which simply means the coefficients should be obtained in a way to get a flat surface... Any idea why I get such error?
  1 Comment
Matt J
Matt J on 10 Sep 2014
Why not simply,
myfit = fit(data,z,myfun)

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Answers (1)

Matt J
Matt J on 10 Sep 2014
Make sure all operations are elementwise,
>> fun=@(a,b,c,d,e,f,x,y) y.^3-a*x*y.^2-b*y.^2+c*y*x.^2+d*x*y+e*y-f*x;
>> vectorize(fun)
ans =
  1 Comment
Shazux Gharasoo
Shazux Gharasoo on 11 Sep 2014
Hi, thank you for your comment and answer. It still makes the same error!
my dependent variable is actually 'y'! Since my function is not y=f(x) but it is f(x,y)=0, I did it this way assuming z=f(x,y)=0. is this way of doing it correct at all? any hint on how to do it? Or shall I do it in a completely different way?
I tried:
myfun =fittype(@(a,b,c,d,e,f,x,y) y.^3-a*x*y.^2-b*y.^2+c*y*x.^2+d*x*y+e*y-f*x, 'ind', {'x'},'dep','y')
but it didnt work in Matlab

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