Markov Decision Processes - Discrete Stochastic Dynamic Programming

Autor: Puterman

Język:

Oprawa: Miękka

Wydawca: John Wiley & Sons Inc

Dostępność: Dostępna u dostawcy

Wysyłamy za 14-20 dni

617.33 zł

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessib...

Informacje o książce

Autor

Puterman

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2005

strony

684

EAN

9780471727828

ISBN

0471727822

Enbook ID

04085700

Wydawca

John Wiley & Sons Inc

Waga

1006

Wymiary

155 x 234 x 32

Pełny opis

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

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