IBM Workshop
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Stochastic Programming
Prof. Dr. Rüdiger Schultz (Universität Duisburg-Essen)
Description
Uncertainty is a prevailing issue in a growing number of optimization problems in science, engineering, and economics. Stochastic programming offers flexible methodology for mathematical optimization problems involving uncertain parameters for which probabilistic information is available. This covers model formulation, model analysis, numerical solution methods, and practical implementations. We solicit contributions to original research from this spectrum of topics.
