Stochastic linear programming: models, theory, and computation Kall, Peter

By: Kall, Peter
Contributor(s): Mayer, Janos
Series: International Series in Operations Research & Management Science, Vol.156Publisher: New York Springer 2011Edition: 2nd edDescription: xx, 426 p.ISBN: 9781441977281Subject(s): Mathematics - Statistics | Linear programming | Stochastic processesDDC classification: 519.72 Summary: Peter Kall and Janos Mayer are distinguished scholars and professors of Operations Research and their research interest is particularly devoted to the area of stochastic optimization. Stochastic Linear Programming is a definitive presentation and discussion of the theoretical properties of the models, the conceptual algorithmic approaches, and the computational issues relating to the implementation of these methods to solve problems that are stochastic in nature.
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Includes bibliographical references (p. 383-403) and index.

Peter Kall and Janos Mayer are distinguished scholars and professors of Operations Research and their research interest is particularly devoted to the area of stochastic optimization. Stochastic Linear Programming is a definitive presentation and discussion of the theoretical properties of the models, the conceptual algorithmic approaches, and the computational issues relating to the implementation of these methods to solve problems that are stochastic in nature.

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