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>