Isbn: 9780471727828 - markov decision processes: discrete stochastic dynamic programming (24 risultati)

paperback. Condizione: Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

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Paperback. Condizione: Brand New. 1st edition. 680 pages. 9.00x6.00x1.50 inches. In Stock.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

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Condizione: New.

Condizione: new.

Condizione: As New. Unread book in perfect condition.

paperback. Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. In English.

Condizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.…

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Condizione: New. pp. 684.

Condizione: New. 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. Series: Wiley Series in Probability and Statistics. Num Pages: 680 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 234 x 155 x 32. Weight in Grams: 992. . 2005. 1st Edition. Paperback. . . . .…

Paperback. Condizione: New. 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.…

Condizione: New. pp. 684 Index.

Condizione: 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.

paperback. Condizione: New. In shrink wrap. Looks like an interesting title.

Condizione: New. 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. Series: Wiley Series in Probability and Statistics. Num Pages: 680 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 234 x 155 x 32. Weight in Grams: 992. . 2005. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.…

Taschenbuch. Condizione: Neu. Markov Decision Processes | Discrete Stochastic Dynamic Programming | Martin L. Puterman | Taschenbuch | Wiley Series in Probability and Statistics | Preface.1. Introduction.2. Model Formulation.3. Examples.4. Finite-Horizon Markov Decision Processes.5. Infinite-Horizon Models: Foundations.6. Discounted Markov Decision Problems.7. The Expected Total-Reward. Criterion.8. Average Reward and Related Crit | Englisch | 2005 | John Wiley & Sons Inc | EAN 9780471727828 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.…

Paperback. Condizione: New. 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.…

Taschenbuch. Condizione: 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.…