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Sinossi
The first of a two-volume set begins with discussions of stochastic processes, including posterity analysis, birth-and-death processes, renewal theory, renewal-reward and regenerative processes, Markov chains, continuous-time Markov chains, Markov processes, and stationery processes and ergodic theory. Its coverage of operating characteristics of stochastic systems examines system properties, networks of queues, and bounds and approximations.
This two-volume set of texts explores the central facts and ideas of stochastic processes, illustrating their use in models based on applied and theoretical investigations. They demonstrate the interdependence of three areas of study that usually receive separate treatments: stochastic processes, operating characteristics of stochastic systems, and stochastic optimization.
Comprehensive in its scope, this work emphasizes the practical importance, intellectual stimulation, and mathematical elegance of stochastic models. It is intended primarily as a graduate-level text for studies in operations research, management science, computer science, and all branches of engineering, applied mathematics, statistics, and economics.
This two-volume set of texts explores the central facts and ideas of stochastic processes, illustrating their use in models based on applied and theoretical investigations. They demonstrate the interdependence of three areas of study that usually receive separate treatments: stochastic processes, operating characteristics of stochastic systems, and stochastic optimization.
Comprehensive in its scope, this work emphasizes the practical importance, intellectual stimulation, and mathematical elegance of stochastic models. It is intended primarily as a graduate-level text for studies in operations research, management science, computer science, and all branches of engineering, applied mathematics, statistics, and economics.
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Contenuti
Preface 1. Introduction Part C. 2. Stochastic Optimization: Prologue 3. Myopic Optimal Policies 4. Markov Decision Processes 5. Generalizations of MDPs 6. Some Computational Considerations for MDPs 7. Other Structural Properties 8. Monotone Optimal Policies 9. Sequential Games Appendixes. Indexes. 43 Figures. 50 Tables.
Product Description
Book by Heyman Daniel P Sobel Matthew J
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Stochastic Models in Operations Research, Vol. II: Stochastic Optimization
Editore:
Dover Publications, 2003
ISBN 10: 0486432602
ISBN 13: 9780486432601
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Paperback
Da: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
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Paperback. Condizione: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.6. Codice articolo G0486432602I3N10
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Foto dell'editore
Stochastic Models in Operations Research, Vol. II: Stochastic Optimization (Dover Books on Computer Science)
Editore:
Dover Publications, 2003
ISBN 10: 0486432602
ISBN 13: 9780486432601
Antico o usato
Paperback
Da: HPB Inc., Dallas, TX, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority! Codice articolo S_443717545
Quantità: 1 disponibili