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

By: Contributor(s): Series: International Series in Operations Research & Management Science, Vol.156Publication details: 2011 Springer New YorkEdition: 2nd edDescription: xx, 426 pISBN:
  • 9781441977281
Subject(s): DDC classification:
  • 519.72 K2S8
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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Item type Current library Collection Call number Status Date due Barcode Item holds
Book Book Ahmedabad Non-fiction 519.72 K2S8 (Browse shelf(Opens below)) Available 178578
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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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