Two‐Stage Stochastic Programs: Introduction and Basic Properties

Abstract This article introduces the two‐stage form of stochastic programs that describe decision situations in which an action is taken, followed by observation of a random event and subsequent follow‐on action. The article describes the basic formulation of these problems as optimization models and then describes basic properties of solution existence, optimality conditions, and equivalent formulations that exploit problem structure for computational efficiency.