Lecture 21 : Stochastic Optimization – November 3

When modeling and solving a realistic optimization problem, we always face uncertainty presenting in the problem, e.g., unknown parameters. The uncertainty makes both the realism and tractability of optimization problems more difficult. In this section, we introduce the formulation with uncertainty and some examples stimulating from real-life decision making request to give a good description of stochastic optimization.