constrained maximization, share variables of tagret function and constraint

I want maximize a function f(x) s.t. nonlinear cosntraints c(x). Both the function f(x) and c(x) contain a computation step g(x), which is very time consuming.

How can i avoid doing the same computation twice at each step of tha maximization loop? (Once when the constraints are evaluated, once when the taget function is evaluated)?

[dominik]

Another way to ask is: can i put the target function and the constraints vector in the same function or do something equivalent.

[Amit]

Can you post your problem. If not the code, atleast some description of f(x), c(x) and g(x). Without that its very hard to comment on solving the issue.

Answer 1

[Amit]

Yes. You can. You can use nested functions to utilize g(x) without calculating twice. Nested functions share the variable.

See this post with a similar question:

http://www.mathworks.com/matlabcentral/answers/9359-fmincon-passing-on-variables-between-functions

http://www.mathworks.com/matlabcentral/newsreader/view_thread/269936

[dominik]

Many thanks! I didnt know the problem structure, that should work!