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Markov Decision Processes: Discrete Stochastic Dynamic Programming: 594 (Wiley Series in Probability and Statistics) - Softcover
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THE WILEY-INTERSCIENCE PAPERBACK SERIES CONSISTS OF SELECTED BOOKS THAT HAVE BEEN MADE MORE ACCESSIBLE TO CONSUMERS IN AN EFFORT TO INCREASE GLOBAL APPEAL AND GENERAL CIRCULATION. WITH THESE NEW UNABRIDGED SOFTCOVER VOLUMES, WILEY HOPES TO EXTEND THE LIVES OF THESE WORKS BY MAKING THEM AVAILABLE TO FUTURE GENERATIONS OF STATISTICIANS, MATHEMATICIANS, AND SCIENTISTS. THIS TEXT IS UNIQUE IN BRINGING TOGETHER SO MANY RESULTS HITHERTO FOUND ONLY IN PART IN OTHER TEXTS AND PAPERS. . . . THE TEXT IS FAIRLY SELF-CONTAINED, INCLUSIVE OF SOME BASIC MATHEMATICAL RESULTS NEEDED, AND PROVIDES A RICH DIET OF EXAMPLES, APPLICATIONS, AND EXERCISES. THE BIBLIOGRAPHICAL MATERIAL AT THE END OF EACH CHAPTER IS EXCELLENT, NOT ONLY FROM A HISTORICAL PERSPECTIVE, BUT BECAUSE IT IS VALUABLE FOR RESEARCHERS IN ACQUIRING A GOOD PERSPECTIVE OF THE MDP RESEARCH POTENTIAL. -ZENTRALBLATT FUR MATHEMATIK . . . IT IS OF GREAT VALUE TO ADVANCED-LEVEL STUDENTS, RESEARCHERS, AND PROFESSIONAL PRACTITIONERS OF THIS FIELD TO HAVE NOW A COMPLETE VOLUME (WITH MORE THAN 600 PAGES) DEVOTED TO THIS TOPIC. . . . MARKOV DECISION PROCESSES: DISCRETE STOCHASTIC DYNAMIC PROGRAMMING REPRESENTS AN UP-TO-DATE, UNIFIED, AND RIGOROUS TREATMENT OF THEORETICAL AND COMPUTATIONAL ASPECTS OF DISCRETE-TIME MARKOV DECISION PROCESSES.
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The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "This text is unique in bringing together so many results hitherto found only in part in other texts and papers...The text is fairly self-contained, inclusive of some basic mathematical results needed, and provides a rich diet of examples, applications, and exercises. The bibliographical material at the end of each chapter is excellent, not only from a historical perspective, but because it is valuable for researchers in acquiring a good perspective of the MDP research potential." -Zentralblatt fur Mathematik "...it is of great value to advanced-level students, researchers, and professional practitioners of this field to have now a complete volume (with more than 600 pages) devoted to this topic...Markov Decision Processes: Discrete Stochastic Dynamic Programming represents an up-to-date, unified, and rigorous treatment of theoretical and computational aspects of discrete-time Markov decision processes. " -Journal of the American Statistical Association
Biografía del autor:
Martin L. Puterman, PhD, is Advisory Board Professor of Operations and Director of the Centre for Operations Excellence at The University of British Columbia in Vancouver, Canada.
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- VerlagWiley-Interscience
- Erscheinungsdatum2005
- ISBN 10 0471727822
- ISBN 13 9780471727828
- EinbandTapa blanda
- Anzahl der Seiten683
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Buchbeschreibung Zustand: New. Martin L. Puterman, PhD, is Advisory Board Professor of Operations and Director of the Centre for Operations Excellence at The University of British Columbia in Vancouver, Canada.The Wiley-Interscience Paperback Series consists of selected books that ha. Artikel-Nr. 5918285
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Markov Decision Processes : Discrete Stochastic Dynamic Programming
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John Wiley & Sons Inc Feb 2005
(2005)
ISBN 10: 0471727822
ISBN 13: 9780471727828
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Buchbeschreibung Taschenbuch. Zustand: Neu. Neuware - The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.'This text is unique in bringing together so many results hitherto found only in part in other texts and papers. . . . The text is fairly self-contained, inclusive of some basic mathematical results needed, and provides a rich diet of examples, applications, and exercises. The bibliographical material at the end of each chapter is excellent, not only from a historical perspective, but because it is valuable for researchers in acquiring a good perspective of the MDP research potential.'-Zentralblatt fur Mathematik'. . . it is of great value to advanced-level students, researchers, and professional practitioners of this field to have now a complete volume (with more than 600 pages) devoted to this topic. . . . Markov Decision Processes: Discrete Stochastic Dynamic Programming represents an up-to-date, unified, and rigorous treatment of theoretical and computational aspects of discrete-time Markov decision processes.'-Journal of the American Statistical Association. Artikel-Nr. 9780471727828
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