Designing Approximation Schemes for Stochastic Optimization Problems, in Particular for Stochastic Programs with Recourse
Abstract
Various approximation schemes for stochastic optimization problems involving either approximates of the probability measures and/or approximates of the objective functional, are investigated. We discuss their potential implementation as part of general procedures for solving stochastic programs with recourse.