hi,
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.
Thank you
--
Milind Dhake
Engineering Mechanics Unit
Jawaharlal Nehru Centre for Advanced Scientific Research
Bangalore
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