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Titlebook: Stochastic Programming; The State of the Art Gerd Infanger Book 2011 Springer Science+Business Media, LLC 2011

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Production Planning Under Supply and Demand Uncertainty: A Stochastic Programming Approach, uncertainties in the production process, and demand via probabilistic descriptors of quantities and due dates even after orders have been received. In contrast to much of the existing literature, our models of uncertainty are dynamic, in that they reflect the evolution of supply through a multistag
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Barycentric Bounds in Stochastic Programming: Theory and Application,e the reliable solution of important real-life decision problems. To this end, we solve a stochastic optimization model for the management of nonmaturing accounts and compare the bounds on maximum profit obtained with different partitioning strategies.
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Book 2011 contribute a volume to his International Series in Operations Research and Management Science, decided finally to go ahead with editing a volume on stochastic programming. The field of stochastic programming (also referred to as optimization under uncertainty or planning under uncertainty) had adva
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