> Hello.I have an nonlinear optimization problem with constraints. I > realy need help. I am using a package problem to solve this problem. > However, although the program finds a solution without an error( since > tolarance values are satisfied), when I check the constraints values , > O see that some constraint values are not satisfactory (some > constraints are realy close to zero which is satisfactory, but some are > not close enough to zero). > There are 5 unknowns and 4 constraints. So this system has infinitly > many solutions. I just want which solution makes the objevtive function > minimum. > I don't have a much optmization background. I just want to determine > among solutions(where the constraints are close enough to zero) which > one makes the objective function minimum. As I mentioned, my priority > is constraints to be satisfied satisfactorily. > I don't know how to searh this subject. I studied some nonlinear > optmization resources. However all terminates when the tolareance > values are close to zero not each of the constraints close to zero. Is > there a way to control the closenes of the constraint to zero. If there > is a way, I will be very glad for recomendaton of some resources. At > least if this subject has an special name in the literature, I want to > leaarn it.Thanks a lot. Best regards.
The statements that some constraints are close to zero and others are not satisfactory does not sound like you have a clear idea of what constraints are supposed to do. Are they exact conditions - always zero? Are they boundaries - so closeness does not matter? Etc? Is your objective being used to judge the closeness to the constraints or is it independent of the constraints?