multi-variable-parametric data fitting
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Hello,
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
z=zeros(25,1);
Which simply means the coefficients should be obtained in a way to get a flat surface... Any idea why I get such error?
回答(1 个)
Matt J
2014-9-10
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 =
@(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
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