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Can I read Stochastic Dynamic Programming and the Control of Queueing Systems (Wiley Series in Probability and Statistics) on EtoBox?
Stochastic Dynamic Programming and the Control of Queueing Systems (Wiley Series in Probability and Statistics) by Linn I. Sennott is a nonfiction available to read on EtoBox.
What is Stochastic Dynamic Programming and the Control of Queueing Systems (Wiley Series in Probability and Statistics) about?
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 cont
Who reads Stochastic Dynamic Programming and the Control of Queueing Systems (Wiley Series in Probability and Statistics)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Linn I. Sennott
- Publisher
- Wiley-Interscience
- Published
- 1999
- Language
- EN
- ISBN
- 9780470317877
- Category
- nonfiction
- Subjects
- Mathematics, Computer Science, Technology
Other editions & translations
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