Methodological and computational framework of stochastic programming and decisions under uncertainty

We study the Sample Average Approximation method for different types of problems. We discuss the implications of using different schemes of sampling (Uniform, Random and Importance sampling) and different risk measurements (CVaR and EDR). We illustrate this by applying these methods to two problems:...