Stochastic Two-Stage Problems
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Optimization problems, in particular mathematical programs, are characterized by a set of (in particular finite dimensional) alternatives (decisions) and an objective. Decision makers have to select out of this set that alternative (decision), best satisfying the underlying objective. If all data are known prior to the decision process we speak of deterministic optimization (programming); if part of the data remain unknown and available only in a certain probabilistic sense we speak of stochastic optimization (programming). We retain on modeling uncertain data by means of assigning probability distributions to these data. Hence, we take as a premise that a probability distribution is given.
KeywordsLower Semicontinuous Stochastic Program Convex Optimization Problem Stochastic Independence Recourse Problem
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