Stochastic Dynamic Programming and the Control of Queueing Systems

Autor: Linn I. Sennott

Limbă:

Legare: Copertă tare

Editura: John Wiley & Sons Inc

Disponibilitate: În depozitul extern

Expediem în 10-18 zile

958.45 lei

A path-breaking account of Markov decision processes-theory and computation This book's clear prese...

Informații despre carte

Autor

Linn I. Sennott

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

1998

Pagini

354

EAN

9780471161202

ISBN

0471161209

Enbook ID

04888021

Editura

John Wiley & Sons Inc

Greutate

672

Dimensiuni

158 x 240 x 25

Descriere completă

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

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