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Markov processes : an introduction for physical scientists /

Markov process theory is basically an extension of ordinary calculus to accommodate functions whos time evolutions are not entirely deterministic. It is a subject that is becoming increasingly important for many fields of science. This book develops the single-variable theory of both continuous and...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Gillespie, Daniel T.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boston : Academic Press, �1992.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario:Markov process theory is basically an extension of ordinary calculus to accommodate functions whos time evolutions are not entirely deterministic. It is a subject that is becoming increasingly important for many fields of science. This book develops the single-variable theory of both continuous and jump Markov processes in a way that should appeal especially to physicists and chemists at the senior and graduate level. Key Features * A self-contained, prgamatic exposition of the needed elements of random variable theory * Logically integrated derviations of the Chapman-Kolmogorov equation, the Kramers-Moyal equations, the Fokker-Planck equations, the Langevin equation, the master equations, and the moment equations * Detailed exposition of Monte Carlo simulation methods, with plots of many numerical examples * Clear treatments of first passages, first exits, and stable state fluctuations and transitions * Carefully drawn applications to Brownian motion, molecular diffusion, and chemical kinetics.
Descripción Física:1 online resource (xxi, 565 pages) : illustrations
Bibliografía:Includes bibliographical references (page xxi) and index.
ISBN:9780080918372
0080918379
1299536166
9781299536166