We consider the objective function of a simple recourse problem with fixed technology matrix and integer second-stage variables. Separability due to the simple recourse structure allows to study a one-dimensional version instead. Based on an explicit formula for the objective function, we derive a complete description of the class of probability density functions such that the objective functio...

We discuss the performance of the convex approximations introduced by Van der Vlerk [2004] for the class of integer recourse problems with totally unimodular (TU) recourse matrices. We show that the main result in Van der Vlerk [2004] needs stronger assumptions, so that a performance guarantee for the convex approximations is lacking in general. In order to obtain such a performance guarantee, ...

We consider the other direction: the 2-stage stochastic programming problem (or also called stochastic recourse problem). Conceptually one should think of the decision process taking place in two stages. In the first, values for the first stage variables x are chosen. In the second, upon a realisation of the random parameters, a recourse action is to be taken in case of infeasibilities. Costs a...

Stochastic programming deals with optimization under uncertainty. A stochastic programming problem with recourse is referred to as a two-stage stochastic problem. We consider the stochastic programming problem with simple integer recourse in which the value of the recourse variable is restricted to a multiple of a nonnegative integer. The algorithm of a dynamic slope scaling procedure to solve ...

This paper is dedicated to a study of different extensions of the classical knapsack problem to the case when different elements of the problem formulation are subject to a degree of uncertainty described by random variables. This brings the knapsack problem into the realm of stochastic programming. Four different model formulations are proposed, based on the introduction of probability constra...