Stochastic dynamic programming and the control of queueing systems - Info and Reading Options
By Linn I. Sennott

"Stochastic dynamic programming and the control of queueing systems" was published by Wiley in 1999 - New York, it has 328 pages and the language of the book is English.
“Stochastic dynamic programming and the control of queueing systems” Metadata:
- Title: ➤ Stochastic dynamic programming and the control of queueing systems
- Author: Linn I. Sennott
- Language: English
- Number of Pages: 328
- Publisher: Wiley
- Publish Date: 1999
- Publish Location: New York
“Stochastic dynamic programming and the control of queueing systems” Subjects and Themes:
- Subjects: ➤ Dynamic programming - Queuing theory - Stochastic programming - Stochastic Processes - Stochastische programmering - Files d'attente, Theorie des - Wachttijdproblemen - Systems Theory - Programmation dynamique - Stochastische Optimierung - Dynamische Optimierung - Programmation stochastique - Dynamische programmering - Controleleer - Warteschlangentheorie
Edition Specifications:
- Pagination: xiv, 328 p. :
Edition Identifiers:
- The Open Library ID: OL343839M - OL1802212W
- Online Computer Library Center (OCLC) ID: 38353366
- Library of Congress Control Number (LCCN): 98002777
- ISBN-10: 0471161209
- All ISBNs: 0471161209
AI-generated Review of “Stochastic dynamic programming and the control of queueing systems”:
"Stochastic dynamic programming and the control of queueing systems" Description:
The Open Library:
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 discounted, and average cost criteria. It then shows how optimal rules of operation (policies) for each criterion may be numerically determined. A great wealth of examples from the application area of the control of queueing systems is presented. Nine numerical programs for the computation of optimal policies are fully explicated.
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