Stochastic programming models static or dynamic optimal decision making under uncertainty. In contrast to deterministic mathematical programming, stochastic programming generally uses expectation functionals in objective or constraints over known or partially known distributions of the problem data. Its features many decision variables under complicated constraints over discrete time periods. Its...