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Markov Chains | Gibbs Fields, Monte Carlo Simulation and Queues | Pierre Brémaud | Buch | Texts in Applied Mathematics | HC runder Rücken kaschiert | xvi | Englisch | 2020 | EAN 9783030459819 - Brémaud, Pierre
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Markov Chains | Gibbs Fields, Monte Carlo Simulation and Queues | Pierre Brémaud | Buch | Texts in Applied Mathematics | HC runder Rücken kaschiert | xvi | Englisch | 2020 | EAN 9783030459819 - gebonden uitgave, pocketboek

2020, ISBN: 9783030459819

[ED: Gebunden], [PU: Springer International Publishing], Primarily an introduction to the theory of stochastic processes at the undergraduate or beginning graduate level, the primary obje… Meer...

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Markov Chains / Gibbs Fields, Monte Carlo Simulation and Queues / Pierre Brémaud / Buch / Texts in Applied Mathematics / HC runder Rücken kaschiert / XVI / Englisch / 2020 / EAN 9783030459819 - Brémaud, Pierre
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Brémaud, Pierre:

Markov Chains / Gibbs Fields, Monte Carlo Simulation and Queues / Pierre Brémaud / Buch / Texts in Applied Mathematics / HC runder Rücken kaschiert / XVI / Englisch / 2020 / EAN 9783030459819 - gebonden uitgave, pocketboek

2020, ISBN: 9783030459819

[ED: Gebunden], [PU: Springer International Publishing], Primarily an introduction to the theory of stochastic processes at the undergraduate or beginning graduate level, the primary obje… Meer...

Verzendingskosten:Versandkostenfrei, Versand nach Deutschland. (EUR 0.00) Buchbär
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Markov Chains | Gibbs Fields, Monte Carlo Simulation and Queues | Pierre Brémaud | Buch | Texts in Applied Mathematics | HC runder Rücken kaschiert | XVI | Englisch | 2020 | EAN 9783030459819 - Brémaud, Pierre
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Brémaud, Pierre:
Markov Chains | Gibbs Fields, Monte Carlo Simulation and Queues | Pierre Brémaud | Buch | Texts in Applied Mathematics | HC runder Rücken kaschiert | XVI | Englisch | 2020 | EAN 9783030459819 - gebonden uitgave, pocketboek

2020

ISBN: 9783030459819

[ED: Gebunden], [PU: Springer International Publishing], Primarily an introduction to the theory of stochastic processes at the undergraduate or beginning graduate level, the primary obje… Meer...

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

2020, ISBN: 9783030459819

Springer, Hardcover, Auflage: 2nd ed. 2020, 573 Seiten, Publiziert: 2020-05-24T00:00:01Z, Produktgruppe: Book, 1.02 kg, Verkaufsrang: 1320259, Decision Making, Management Skills, Manageme… Meer...

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Markov Chains - Pierre Bremaud
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Markov Chains - gebonden uitgave, pocketboek

ISBN: 9783030459819

Hardback, [PU: Springer Nature Switzerland AG], Primarily an introduction to the theory of stochastic processes at the undergraduate or beginning graduate level, the primary objective of … Meer...

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Gedetalleerde informatie over het boek. - Markov Chains: Gibbs Fields, Monte Carlo Simulation and Queues: 31 (Texts in Applied Mathematics, 31)


EAN (ISBN-13): 9783030459819
Gebonden uitgave
Verschijningsjaar: 2020
Uitgever: Springer

Boek bevindt zich in het datenbestand sinds 2020-08-15T09:29:19+02:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2024-01-05T16:31:03+01:00 (Amsterdam)
ISBN/EAN: 9783030459819

ISBN - alternatieve schrijfwijzen:
978-3-030-45981-9
alternatieve schrijfwijzen en verwante zoekwoorden:
Titel van het boek: applied mathematics, monte carlo


Gegevens van de uitgever

Auteur: Pierre Brémaud
Titel: Texts in Applied Mathematics; Markov Chains - Gibbs Fields, Monte Carlo Simulation and Queues
Uitgeverij: Springer; Springer International Publishing
557 Bladzijden
Verschijningsjaar: 2020-05-24
Cham; CH
Gedrukt / Gemaakt in
Taal: Engels
32,09 € (DE)
32,99 € (AT)
35,50 CHF (CH)
POD
XVI, 557 p. 93 illus.

BB; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; 60-XX, 68-XX, 82-XX, 90-XX, 92-XX, 94-XX; Gibbs Fields; Markov Chains; Markov Fields; Martingale; Monte Carlo Simulation; stochastic model; Queueing theory; electrical engineering; ergodicity; linear optimization; Renewal theory; operations research; regenerative process; Monte Carlo simulation; Probability Theory; Operations Research and Decision Theory; Electrical and Electronic Engineering; Stochastik; Unternehmensforschung; Management: Entscheidungstheorie; Elektrotechnik; BB; EA; BC

edition is a thoroughly revised and augmented version of the book with the same title published in 1999. The author begins with the elementary theory of Markov chains and very progressively brings the reader to more advanced topics. He gives a useful review of probability, making the book self-contained, and provides an appendix with detailed proofs of all the prerequisites from calculus, algebra, and number theory. A number of carefully chosen problems of varying difficulty are proposed at the close of each chapter, and the mathematics is slowly and carefully developed, in order to make self-study easier. The book treats the classical topics of Markov chain theory, both in discrete time and continuous time, as well as connected topics such as finite Gibbs fields, nonhomogeneous Markov chains, discrete-time regenerative processes, Monte Carlo simulation, simulated annealing, and queuing theory.

edition are the exact sampling algorithm of Propp and Wilson, the electrical network analogy of symmetric random walks on graphs, mixing times and additional details on the branching process. The structure of the book has been modified in order to smoothly incorporate this new material. Among the features that should improve reader-friendliness, the three main ones are: a shared numbering system for the definitions, theorems and examples; the attribution of titles to the examples and exercises; and the blue highlighting of important terms. The result is an up-to-date textbook on stochastic processes.

Students and researchers in operations research and electrical engineering, as well as in physics and biology, will find it very accessible and relevant.

Preface.- 1 Probability Review.- 2 Discrete-Time Markov Chains.- 3 Recurrence and Ergodicity.- 4 Long-Run Behavior.- 5 Discrete-Time Renewal Theory.- 6 Absorption and Passage Times.- 7 Lyapunov Functions and Martingales.- 8 Random Walks on Graphs.- 9 Convergence Rates.- 10 Markov Fields on Graphs.- 11 Monte Carlo Markov Chains.- 12 Non-homogeneous Markov Chains.- 13 Continuous-Time Markov Chains.- 14 Markovian Queueing Theory.- Appendices.- Bibliography.- Index.

Pierre Brémaud

edition is a thoroughly revised and augmented version of the book with the same title published in 1999. The author begins with the elementary theory of Markov chains and very progressively brings the reader to more advanced topics. He gives a useful review of probability, making the book self-contained, and provides an appendix with detailed proofs of all the prerequisites from calculus, algebra, and number theory. A number of carefully chosen problems of varying difficulty are proposed at the close of each chapter, and the mathematics is slowly and carefully developed, in order to make self-study easier. The book treats the classical topics of Markov chain theory, both in discrete time and continuous time, as well as connected topics such as finite Gibbs fields, nonhomogeneous Markov chains, discrete-time regenerative processes, Monte Carlo simulation, simulated annealing, and queuing theory.

editionare the exact sampling algorithm of Propp and Wilson, the electrical network analogy of symmetric random walks on graphs, mixing times and additional details on the branching process. The structure of the book has been modified in order to smoothly incorporate this new material. Among the features that should improve reader-friendliness, the three main ones are: a shared numbering system for the definitions, theorems and examples; the attribution of titles to the examples and exercises; and the blue highlighting of important terms. The result is an up-to-date textbook on stochastic processes.

Students and researchers in operations research and electrical engineering, as well as in physics and biology, will find it very accessible and relevant.


Thoroughly revises and updates the 1st edition, making it a completely self-contained textbook on Markov chains and stochastic processes Includes material for basic and advanced courses on Markov Chains, with complementary material on continuous-time Markov chains and Markovian queueing theory Improves reader-friendliness by including: a shared numbering system for the definitions, theorems and examples; titles for the examples and exercises; blue highlighting of important terms

Andere boeken die eventueel grote overeenkomsten met dit boek kunnen hebben:

Laatste soortgelijke boek:
9781441931313 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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