Matt J
Posts:
4,996
Registered:
11/28/09


Re: Nonlinear optimization
Posted:
Mar 6, 2013 4:55 PM


"Bruno Luong" <b.luong@fogale.findmycountry> wrote in message <kh8bsc$bov$1@newscl01ah.mathworks.com>... > "Matt J" wrote in message <kh89he$4al$1@newscl01ah.mathworks.com>... > > > f(x)=(sqrt(F(x)f_low))^2 > > What you write is > > f(x) = abs(F(x)f_low) = F(x)f_low > > Minimizing f(x) is the same as minimizing F(x). How far do we get? ===============
That should really have been
f(x)=sqrt(F(x)f_low)
min (f(x))^2
But yes, the above is equivalent to minimizing F(x). That's what we want. Now, however, you can feed f(x) to LSQNONLIN and run its LevenbergMarquardt routine.

