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Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues (Texts in Applied Mathematics) by Pierre Bremaud (2001-02-01) - de Pierre Bremaud (Relié) (Author)
Caractéristiques Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues (Texts in Applied Mathematics) by Pierre Bremaud (2001-02-01)
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| Le Titre Du Livre | Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues (Texts in Applied Mathematics) by Pierre Bremaud (2001-02-01) |
| Sortié Le | |
| Traducteur | Fisher Jakob |
| Quantité de Pages | 694 Pages |
| La taille du fichier | 56.98 MB |
| Langue du Livre | Français et Anglais |
| Éditeur | Cornelsen |
| ISBN-10 | 0314925188-HOQ |
| Format de E-Book | AMZ PDF EPub AMI WPT |
| Auteur | Pierre Bremaud (Relié) |
| EAN | 507-2256621711-KFK |
| Nom de Fichier | Markov-Chains-Gibbs-Fields-Monte-Carlo-Simulation-and-Queues-(Texts-in-Applied-Mathematics)-by-Pierre-Bremaud-(2001-02-01).pdf |
Télécharger Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues (Texts in Applied Mathematics) by Pierre Bremaud (2001-02-01) Livre PDF Gratuit
Noté 505 Retrouvez Markov Chains Gibbs Fields Monte Carlo Simulation and Queues et des millions de livres en stock sur Achetez neuf ou doccasion
BREMAUD Markov chains Gibbs fields Monte Carlo simulation and queues SpringerVerlag 1998 Un livre complet sur les chaînes de Markov doù sont extraits un certain nombre dexemples illustrés dans les deux activités du chapitre
This book discusses both the theory and applications of Markov chains The author studies both discretetime and continuoustime chains and connected topics such as finite Gibbs fields nonhomogeneous Markov chains discrete time regenerative processes Monte Carlo simulation simulated annealing and queueing networks are also developed in
In this book the author begins with the elementary theory of Markov chains and very progressively brings the reader to the more advanced topics He gives a useful review of probability that makes the book selfcontained and provides an appendix with det
Sources Introduction aux probabilités P Brémaud SpringerVerlag 1984 Markov Chains Gibbs Fields MonteCarlo Simulation and queues P Brémaud
Application domains Markov chain Monte Carlo methods are primarily used for calculating numerical approximations of multidimensional integrals for example in Bayesian statistics computational physics computational biology and computational linguistics
Noté 505 Retrouvez Markov Chains Gibbs Fields Monte Carlo Simulation and Queues Texts in Applied Mathematics et des millions de livres en stock sur Achetez neuf ou doccasion