"Toan Cao" <email@example.com> wrote in message <firstname.lastname@example.org>... > 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
So, you could apply Levenberg-Marquardt and/or Gauss-Newton to the reformulated problem.