fitting vector valued functions
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I see Matlab has many different ways to fit a scalar valued function (for example
z = f(x,y)
but is there anything that can help me fit a vector valued function
[u, v] = f(x,y)
Note that the coefficients to the fit would be multiplied by a vector, in the equation of f. for example, a term could be a*[x y]
This causes an error in the scalar fitting routines because the coefficient 'a' to be found by fitting can only be multiplied by a scalar.
回答（3 个）
Shashank Prasanna
2013-1-14
0 个投票
From your questions I appears that you want to perform Multivariate Regression where the response is m dimensional
Y = F(X) where Y belongs to |Rm and x belongs to |Rn You can do this using MVREGRESS:
1 个评论
Shashank Prasanna
2013-1-14
Of course this is still linear regression.
Matt J
2013-1-14
0 个投票
LSQCURVEFIT can do multi-variate non-linear fitting.
You need the Optimization Toolbox, of course.
There are also FEX tools like this, which don't require any toolboxes.
It works best when you have only a few nonlinear parameters, though.
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