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Markov Decision Processes: Discrete Stochastic Dynamic Programming: 594 (Wiley Series in Probability and Statistics) - Tapa blanda
Sinopsis
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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Reseña del editor
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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- EditorialWiley-Interscience
- Año de publicación2005
- ISBN 10 0471727822
- ISBN 13 9780471727828
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas683
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Paperback. Condición: new. Paperback. 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 This book is an up-to-date, unified and rigorous treatment of theoretical, computational and applied research on Markov decision process models. The concentration of the book is on infinite-horizon discrete-time models, and it also discusses arbitrary state spaces, finite-horizon and continuous-time discrete-state models. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9780471727828
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Paperback. Condición: new. Paperback. 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 This book is an up-to-date, unified and rigorous treatment of theoretical, computational and applied research on Markov decision process models. The concentration of the book is on infinite-horizon discrete-time models, and it also discusses arbitrary state spaces, finite-horizon and continuous-time discrete-state models. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9780471727828
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