The Impact of Sampling Methods on Bias and Variance in Stochastic Linear Programs

Two-stage stochastic linear programs can be solved approximately by drawing a subset of all possible random scenarios and solving the problem based on this subset, an approach known as sample path optimization. Sample path optimization creates two kinds of objective function bias. First, the expected optimal objective function value for the sampled problem is lower … Read more