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) - 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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Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues (Texts in Applied Mathematics) (Texts in Applied Mathematics (31)) - Paperback
ISBN: 9781441931313
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Biblio.co.uk |
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
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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
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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...
Bremaud, Pierre:
Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues (Texts in Applied Mathematics) (Texts in Applied Mathematics, 31, Band 31) - Paperback2010, 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...
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
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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)
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 IndexThis 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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