Markov Chains : Gibbs Fields, Monte Carlo Simulation and Queues / Pierre Brémaud

• Autore: Brémaud, Pierre
• Pubblicazione: Cham, : Springer, 2020
• Titolo uniforme: Markov Chains : Gibbs Fields, Monte Carlo Simulation and Queues
• Edizione: 2. ed
• Descrizione fisica: xvi, 557 p. : ill. ; 24 cm
• Soggetto topico: 60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020]; 60-XX - Probability theory and stochastic processes [MSC 2020]; 60J27 - Continuous-time Markov processes on discrete state spaces [MSC 2020]; 60G60 - Random fields [MSC 2020]; 60K10 - Applications of renewal theory (reliability, demand theory, etc.) [MSC 2020]
• Soggetto non controllato: Electrical Engineering; Ergodicity; Gibbs Fields; Linear optimization; Markov Chains; Markov Fields; Martingales; Monte-Carlo Simulation; Operations Research; Queueing Theory; R egenerative process; Renewal theory; Stochastic models
• Titolo autorizzato: Markov Chains : Gibbs Fields, Monte Carlo Simulation and Queues
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN0249418
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: http://doi.org/10.1007/978-3-030-45982-6
• Serie: Texts in applied mathematics New York [etc.] . -Springer ; 31