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Item Details
Title: STOCHASTIC LINEAR PROGRAMMING
MODELS, THEORY, AND COMPUTATION
By: Peter Kall, Janos Mayer
Format: Hardback

List price: £82.50


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 0387233857
ISBN 13: 9780387233857
Publisher: SPRINGER-VERLAG NEW YORK INC.
Pub. date: 17 February, 2005
Edition: and ed.
Series: International Series in Operations Research & Management Science v. 80
Pages: 416
Description: Presents 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. This book includes portfolio analysis, financial optimization, energy problems, random yields in manufacturing, and risk analysis.
Synopsis: 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: Models, Theory, and Computation" 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. The application area of stochastic programming includes portfolio analysis, financial optimization, energy problems, random yields in manufacturing, risk analysis, etc. In this book, models in financial optimization and risk analysis are discussed as examples, including solution methods and their implementation.Stochastic programming is a fast developing area of optimization and mathematical programming.Numerous papers and conference volumes, and several monographs have been published in the area; however, the Kall and Mayer book will be particularly useful in presenting solution methods including their solid theoretical basis and their computational issues, based in many cases on implementations by the authors. The book is also suitable for advanced courses in stochastic optimization.
Illustrations: 32 black & white illustrations, 2 black & white tables
Publication: US
Imprint: Springer-Verlag New York Inc.
Returns: Non-returnable
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