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constraint optimization: solving large scale general nonlinear problems

Ravi, 

I solve for the fixed-point  x=g(x;b,Y). The variable Y is given - i
can omitted here to not introduce confusion. 

   max_{x,b}  f(x,b)
     
    constr    x=g(x;b)

Let b1 the  initial values for b.  Having b1 I
can compute the solution x1 of the system x=g(x,b1) - x1 fixed-point.
So,

   b2= max_{b} f(x1,b)=f( g(x1,b),b), since x1=g(x1,b)

I repeat this until || b_{n}-b_{n-1}||< eps   then I have  b optim.

Why I introduce discontinuity in f?
It is hard in this way to control the error from solving the
fixed-point. In addition, the x=g(x,b) may have multiple solutions.
For those reasons, I  want to solve a constraint optimization
problem. 

Best regards,
Florin


On Fri, 27 Mar 2009 18:03:02 -0400
Ravi Varadhan <rvaradhan at jhmi.edu> wrote: