Stochastic Programming

Course content

Introduction to modeling under uncertainty. Basic properties of two-stage stochastic linear programs. Stage-wise and scenario-wise decomposition methods for solving two-stage stochastic linear programs. Value of capturing uncertainty. Chance-constrained stochastic programs. Multi-stage stochastic linear programs. Stochastic integer programs. Bounding and sampling methods.