CODEWITHSUNDEEP
matlabcurve-fittingleast-squaressurface
ponir
ponir

Reputation: 477

non linear least squares in 3D space in MATLAB?

For 2D space I have used lsqcurvefit. But for 3D space I haven't found any easy function.

the function I'm trying to fit has the form something like this:

z = f(x,y) = a+b*x+c*e^(-y/d)

I would like to know if there is any tool box or function for fitting this kind of data the in least square sense. Or can lsqcurvefit can be used in some way?

Otherwise I think I have to write something myself. Back to theory reading I guess.

SO, Any help will be appreciated.

Thanks.

Upvotes: 0

Views: 1988

Answers (1)

nojka_kruva
nojka_kruva

Reputation: 1454

lsqcurvefit should be able to handle the function given in the question. I don't have a way to verify this code right now, but I believe that it should work:

clear variables

f = @(p, x)(p(1)+p(2)*x(:, 1)+p(3)*e.^(-x(:, 2)/p(4)));

xydata = [ 0 0 ; 1 1 ; 2 2 ; 3 3 ];
zdata = [ 0 ; 1 ; 2 ; 3 ];

x = lsqcurvefit(f, [ 0 0 0 0 ], xydata, zdata);

Upvotes: 1

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