[Insight-users] non-linear least-square fitting

[Arnaud GELAS]

Hi all,

I'd like to do a non linear least square fitting on given datas, and I'd
like to use Levenberg Marquardt method for solving my problem.

Actually, I don't really understand how to compute the
MultipleValuedCostFunction from my function f ( the function I want to
minimize ). Can someone help me?

f : R^n -> R, so should i make a MultipleValuedCostFunction with n
parameters and 1 value ( just like a SingleValuedCostFunction )?


thanks a lot for your help,


Arnaud