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NMinimize with numerically evaluated constraints

• To: mathgroup at smc.vnet.net
• Subject: [mg66229] NMinimize with numerically evaluated constraints
• From: "Fernando Bernardo" <bernardo at eq.uc.pt>
• Date: Thu, 4 May 2006 05:21:48 -0400 (EDT)
• Sender: owner-wri-mathgroup at wolfram.com

 Hi there!

I'm trying to solve an optimization problem, with constraints g(x)<=0 
(x are decision variables), such that the evaluation of g(x) for a 
particular x requires a numerical procedure. So far, I've been able to 
use NMinimize with g(x) defined analytically as a function of the symbol 
x, while the objective function f(x) can be restricted to a numerical 
input x as follows:

fOBJ[x_ /; NumericQ[x]]:=Module[{},...; Return[fOBJval]]


Is it possible to apply this numerical input restriction also to the 
constraints g(x) ??? Thanks for your help.

Fernando Pedro Martins Bernardo
Department of Chemical Engineering
University of Coimbra
P=F3lo II - Pinhal de Marrocos
3030-290 Coimbra
Portugal
Tele: +351-239-798722
Fax: +351-239-798703
bernardo at eq.uc.pt

• Follow-Ups:
  • Re: NMinimize with numerically evaluated constraints
    • From: gregorc <gregor.cernivec@fe.uni-lj.si>