"Matt J" wrote in message <firstname.lastname@example.org>... > "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 > > 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.
Hi Matt J, If i do not have lower bound of F(x), do you have another solution for my problem ? I appreciate your support. Best regards, Toan