On Jun 24, 2013, at 3:57 PM, milind d <[email protected]> wrote: > I have just newly started to use nlopt, I have written a program which > uses the nlopt to minize a function, My doubt here was I am getting the > functional value same at each optimization cycle, I knw this as i print the > functional value inside myfunction subroutine, i m using a gradient based > optimization algorithms, SLSQP, I have written a subroutine which calculate > the gradient of the function n i use the gradient subroutine in myfunction. > My data set is so huge that its not actully feasible to validate my gradient > with tht data set, allthough i have validated it by small data sets. So my > question is what are the possibles things which will make my functional > values constant for many optimization cycles.
I would try validating your gradient just by comparing with finite-difference calculations. _______________________________________________ NLopt-discuss mailing list [email protected] http://ab-initio.mit.edu/cgi-bin/mailman/listinfo/nlopt-discuss
