We propose a randomized gradient method for the handling of a convex function whose gradient computation is demanding. The method bears a resemblance to the stochastic approximation family. But in contrast to stochastic ...

In this paper we address the following probabilistic version (PSC) of the set coveringproblem: $ min{cx | P(Ax ≥ ξ) ≥ p, x_j \in {0, 1} j \in N }$ where A is a 0-1 matrix, ξis a random 0-1 vector and $p \in (0, 1]$ is the ...

As part of a recent development, special exhibitions can now be funded by research money in Germany. In this context, an interdisciplinary research association which investigates ancient civilizations from the 6th millennium ...

We focus on solving closed-loop stochastic problems, and propose a perturbed gradient algorithm to achieve this goal. The main hurdle in such problems is the fact that the control variables are infinite dimensional, and ...

We describe a stochastic program for planning the wartime, sealift deployment of military cargo subject to attack. The cargo moves on ships from US or allied seaports of embarkation through seaports of debarkation (SPODs) ...

The DASH model for Power Portfolio Optimization provides a tool which helps decision-makers coordinate production decisions with opportunities in the wholesale power market. The methodology is based on a stochastic programming ...

This paper describes a stochastic programming model that was developed for asset liability management of a Finnish pension company. In many respects the model resembles those presented in the literature , but it has some ...