Dear All.

Maybe this is a little bit irrelative question for this forum but maybe someone has experience on this. I would like to minimize a function of the form (A*x-b)^2 ( A matrix x vector b vector) where x the parameters are a lot. So far I am using genetic algorithm which works but gives a lot of local minima. Do you have to suggest a stochastic method which could work better in finding global minima.

Many thanks,

Chris