Stochastic Dynamic Programming and the Control of Queueing Systems (Wiley Series in Probability and Statistics)

Sennott, Linn I.

ISBN 10: 0471161209 ISBN 13: 9780471161202

Published by Wiley-Interscience, 1998

Language: English

Condition: New Hardcover

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Bibliographic Details

Title

Stochastic Dynamic Programming and the Control of Queueing Systems (Wiley Series in Probability and Statistics)

Publisher

Wiley-Interscience

Publication Date

1998

Language

English

ISBN 10

0471161209

ISBN 13

9780471161202

Binding

Hardcover

Condition

New

Seller catalogs

About this title

Synopsis

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 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.

The Pascal source code for the programs is available for viewing and downloading on the Wiley Web site at www.wiley.com/products/subject/mathematics. The site contains a link to the author's own Web site and is also a place where readers may discuss developments on the programs or other aspects of the material. The source files are also available via ftp at ftp://ftp.wiley.com/public/sci_tech_med/stochastic

Stochastic Dynamic Programming and the Control of Queueing Systems features:
* Path-breaking advances in Markov decision process techniques, brought together for the first time in book form
* A theorem/proof format (proofs may be omitted without loss of continuity)
* Development of a unified method for the computation of optimal rules of system operation
* Numerous examples drawn mainly from the control of queueing systems
* Detailed discussions of nine numerical programs
* Helpful chapter-end problems
* Appendices with complete treatment of background material

About the Author

Linn I. Sennott, PhD, is Professor of Mathematics at Illinois State University.

"About this title" may belong to another edition of this title.

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