Name: Stochastic Processes and Applications: Diffusion Processes, the Fokker-Planck and Langevin Equations (Texts in Applied Mathematics) (en Inglés)
Price: 391.15 PEN
Availability: InStock
Author: Grigorios A. Pavliotis
ISBN: 9781493913220

portada Stochastic Processes and Applications: Diffusion Processes, the Fokker-Planck and Langevin Equations (Texts in Applied Mathematics) (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Grigorios A. Pavliotis

Año

2014

Idioma

Inglés

N° páginas

339

Encuadernación

Tapa Dura

ISBN13

9781493913220

N° edición

2014

Categorías

Cálculo diferencial y ecuaciones

Stochastic Processes and Applications: Diffusion Processes, the Fokker-Planck and Langevin Equations (Texts in Applied Mathematics) (en Inglés)

Grigorios A. Pavliotis (Autor) · Springer · Tapa Dura

Libro Nuevo

S/ 391,15

S/ 782,31

Ahorras: S/ 391,15

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Reseña del libro "Stochastic Processes and Applications: Diffusion Processes, the Fokker-Planck and Langevin Equations (Texts in Applied Mathematics) (en Inglés)"

This book presents various results and techniques from the theory of stochastic processes that are useful in the study of stochastic problems in the natural sciences. The main focus is analytical methods, although numerical methods and statistical inference methodologies for studying diffusion processes are also presented. The goal is the development of techniques that are applicable to a wide variety of stochastic models that appear in physics, chemistry and other natural sciences. Applications such as stochastic resonance, Brownian motion in periodic potentials and Brownian motors are studied and the connection between diffusion processes and time-dependent statistical mechanics is elucidated.The book contains a large number of illustrations, examples, and exercises. It will be useful for graduate-level courses on stochastic processes for students in applied mathematics, physics and engineering. Many of the topics covered in this book (reversible diffusions, convergence to equilibrium for diffusion processes, inference methods for stochastic differential equations, derivation of the generalized Langevin equation, exit time problems) cannot be easily found in textbook form and will be useful to both researchers and students interested in the applications of stochastic processes.