Stochastic Optimization Problems with Incomplete Information on Distribution Functions

The main purpose of this paper is to discus: numerical optimization procedures, based on duality theory, for problems in which the distribution function is only partially known. The dual problem is formulated as a minimax-type problem in which the "inner" problem of maximization is not concave. Numerical procedures that avoid the difficulties associated with solving the "inner" problem are proposed.