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Stochastic Dynamic Programming and the Control of Queueing Systems
Linn I. Sennott
€ 202.72
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Description for Stochastic Dynamic Programming and the Control of Queueing Systems
Hardcover. A stochastic process is any process governed by laws of probability, ranging from the genetic probability of having brown eyes, to the chances of a line of cars passing a specific highway point. This book provides information on the latest techniques and statistical Markov process theory used in the control of queuing systems (e.g. Series: Wiley Series in Probability and Statistics. Num Pages: 354 pages, bibliograpghy, index. BIC Classification: PBT; PBWL; UM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 238 x 165 x 26. Weight in Grams: 660.
A path-breaking account of Markov decision processes-theory and computation
This book's clear presentation of theory, numerous chapter-end problems, and development of a unified method for the computation of optimal policies in both discrete and continuous time make it an excellent course text for graduate students and advanced undergraduates. Its comprehensive coverage of important recent advances in stochastic dynamic programming makes it a valuable working resource for operations research professionals, management scientists, engineers, and others.
Stochastic Dynamic Programming and the Control of Queueing Systems presents the theory of optimization under the finite horizon, infinite horizon ... Read more
A path-breaking account of Markov decision processes-theory and computation
This book's clear presentation of theory, numerous chapter-end problems, and development of a unified method for the computation of optimal policies in both discrete and continuous time make it an excellent course text for graduate students and advanced undergraduates. Its comprehensive coverage of important recent advances in stochastic dynamic programming makes it a valuable working resource for operations research professionals, management scientists, engineers, and others.
Stochastic Dynamic Programming and the Control of Queueing Systems presents the theory of optimization under the finite horizon, infinite horizon ... Read more
Product Details
Format
Hardback
Publication date
1998
Publisher
John Wiley & Sons Inc United States
Number of pages
354
Condition
New
Series
Wiley Series in Probability and Statistics
Number of Pages
352
Place of Publication
, United States
ISBN
9780471161202
SKU
V9780471161202
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Linn I. Sennott
Linn I. Sennott, PhD, is Professor of Mathematics at Illinois State University.
Reviews for Stochastic Dynamic Programming and the Control of Queueing Systems
There is much to appreciate about his book. It is well written and thoughtfully organized and nicely integrates theory with computation. Its orientation toward SDP theory for buffer control will certainly interest scientists seeking solutions to communication network problems. (Technometrics, August 2000, Vol. 42, No. 3)