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Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues (Texts in Applied Mathematics): 31 - Bremaud, Pierre
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Bremaud, Pierre:

Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues (Texts in Applied Mathematics): 31 - Paperback

2010, ISBN: 9781441931313

Springer, Paperback, Auflage: Softcover reprint of hardcover 1st ed. 1999, 464 Seiten, Publiziert: 2010-12-01T00:00:01Z, Produktgruppe: Book, 0.86 kg, Verkaufsrang: 4516672, Decision Maki… More...

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Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues (Texts in Applied Mathematics) (Texts in Applied Mathematics, 31, Band 31) - Bremaud, Pierre
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Bremaud, Pierre:

Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues (Texts in Applied Mathematics) (Texts in Applied Mathematics, 31, Band 31) - Paperback

2010, ISBN: 9781441931313

Springer, Taschenbuch, Auflage: Softcover reprint of hardcover 1st ed. 1999, 464 Seiten, Publiziert: 2010-12-01T00:00:01Z, Produktgruppe: Buch, 1.9 kg, Recht, Kategorien, Bücher, Kosten &… More...

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Bremaud, Pierre:
Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues (Texts in Applied Mathematics) (Texts in Applied Mathematics (31)) - Paperback

ISBN: 9781441931313

paperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book., 2.5

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Pierre Bremaud:
Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues - Paperback

2010, ISBN: 1441931317

[EAN: 9781441931313], Nieuw boek, [SC: 11.65], [PU: Springer New York], reprint edition. 462 pages. 9.30x7.20x1.10 inches. In Stock., Books

NEW BOOK. Shipping costs: EUR 11.65 Revaluation Books, Exeter, United Kingdom [2134736] [Beoordeling: 5 (van 5)]
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Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues (Texts in Applied Mathematics) [Soft Cover ] - Bremaud, Pierre
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Bremaud, Pierre:
Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues (Texts in Applied Mathematics) [Soft Cover ] - Paperback

2010, ISBN: 1441931317

[EAN: 9781441931313], Neubuch, [PU: Springer], Books

NEW BOOK. Shipping costs: EUR 8.09 booksXpress, Freehold, NJ, U.S.A. [71410708] [Rating: 4 (von 5)]

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Details of the book
Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues (Texts in Applied Mathematics) (Texts in Applied Mathematics, 31, Band 31)

Primarily an introduction to the theory of stochastic processes at the undergraduate or beginning graduate level, the primary objective of this book is to initiate students in the art of stochastic modelling. However it is motivated by significant applications and progressively brings the student to the borders of contemporary research. Examples are from a wide range of domains, including operations research and electrical engineering. Researchers and students in these areas as well as in physics, biology and the social sciences will find this book of interest.

Details of the book - Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues (Texts in Applied Mathematics) (Texts in Applied Mathematics, 31, Band 31)


EAN (ISBN-13): 9781441931313
ISBN (ISBN-10): 1441931317
Hardcover
Paperback
Publishing year: 2010
Publisher: Springer
464 Pages
Weight: 0,841 kg
Language: eng/Englisch

Book in our database since 2010-04-05T21:35:38+01:00 (London)
Detail page last modified on 2023-07-26T07:15:27+01:00 (London)
ISBN/EAN: 1441931317

ISBN - alternate spelling:
1-4419-3131-7, 978-1-4419-3131-3
Alternate spelling and related search-keywords:
Book author: bremaud pierre
Book title: monte carlo simulation, markov chains gibbs fields


Information from Publisher

Author: Pierre Bremaud
Title: Texts in Applied Mathematics; Markov Chains - Gibbs Fields, Monte Carlo Simulation, and Queues
Publisher: Springer; Springer US
444 Pages
Publishing year: 2010-12-01
New York; NY; US
Printed / Made in
Weight: 0,863 kg
Language: English
60,94 € (DE)
62,65 € (AT)
86,58 CHF (CH)
Not available, publisher indicates OP

BC; Previously published in hardcover; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Monte Carlo Simulation; Markov Chains; Markov model; Stochastic modelling; Martingale; electrical engineering; regenerative process; Stochastic model; modeling; Markov; simulation; operations research; ergodicity; linear optimization; stochastic process; B; Probability Theory and Stochastic Processes; Operations Research/Decision Theory; Electrical Engineering; Mathematics and Statistics; Stochastik; Unternehmensforschung; Management: Entscheidungstheorie; Elektrotechnik; BB; BB

Preface * 1 Probability Review * 2 Discrete Time Markov Models * 3 Recurrence and Ergodicity * 4 Long Run Behavior * 5 Lyapunov Functions and Martingales * 6 Eigenvalues and Nonhomogeneous Markov Chains * 7 Gibbs Fields and Monte Carlo Simulation * 8 Continuous-Time Markov Models 9 Poisson Calculus and Queues * Appendix * Bibliography * Author Index * Subject Index
This text is an introduction to the theory of stochastic processes at the undergraduate or beginning graduate level. Its primary objective is to initiate the student to the art of stochastic modeling. Mathematical definitions, theorems, proofs, and a number of classroom examples help the student to fully grasp the content of the main results, and problems of varying difficulty are proposed at the end of each chapter. The material is accessible to students who know the basics of probability theory, but a review of probability is included to make the text largely self-contained. It brings students to the borders of current research covering more advanced topics such as Martingales, eigenvalue, Gibbs fields and Monte Carlo techniques.

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