Matt J
Posts:
4,979
Registered:
11/28/09
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Re: Non-linear optimization
Posted:
Mar 4, 2013 4:07 PM
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"Toan Cao" <toancv3010@gmail.com> wrote in message <kh2m44$4eh$1@newscl01ah.mathworks.com>... > Hi everyone, > > I have a question relating to non-linear optimization and hope to receive your help! > If i have a cost function F(x) in general form. I mean it can not be described in the form of F(x)= f(x)'.f(x) (where f(x)' is transposition of f(x) ) as required by some methods such as Levenberg-Marquardt, Gauss-Newton for finding a local minimum value. > If i want to use above two methods, what should i do ? ===============
If you know a global lower bound on F(x), say F_low, then the minimization problem is equivalent to
min f(x)'.f(x)
where
f(x)=F(x)- f_low
So, you could apply Levenberg-Marquardt and/or Gauss-Newton to the reformulated problem.
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