Theory and Applications of Stochastic Processes : An Analytical Approach

Zeev Schuss

ISBN 10: 1441916040 / ISBN 13: 9781441916044

Editore: Springer New York, 2009

Riguardo questo articolo

Druck auf Anfrage Neuware - Printed after ordering - Stochastic processes and diffusion theory are the mathematical underpinnings of many scientific disciplines, including statistical physics, physical chemistry, molecular biophysics, communications theory and many more. Many books, reviews and research articles have been published on this topic, from the purely mathematical to the most practical.This book offers an analytical approach to stochastic processes that are most common in the physical and life sciences, as well as in optimal control and in the theory of filltering of signals from noisy measurements. Its aim is to make probability theory in function space readily accessible to scientists trained in the traditional methods of applied mathematics, such as integral, ordinary, and partial differential equations and asymptotic methods, rather than in probability and measure theory.

Codice articolo 9781441916044

Dati bibliografici

• Titolo: Theory and Applications of Stochastic Processes : An Analytical Approach
• Editore: Springer New York
• Data di pubblicazione: 2009
• Lingua: Inglese
• ISBN 10: 1441916040
• ISBN 13: 9781441916044
• Rilegatura: Buch
• Condizione: Neu
• Dimensioni: 245 L x 167 A x 35 P (millimetri) 245 millimetri di larghezza per 167 millimetri di altezza per 35 millimetri di profondità
• Peso: 843 grammi

Descrizione articolo

Riassunto

Stochastic processes and diffusion theory are the mathematical underpinnings of many scientific disciplines, including statistical physics, physical chemistry, molecular biophysics, communications theory and many more. Many books, reviews and research articles have been published on this topic, from the purely mathematical to the most practical.

This book offers an analytical approach to stochastic processes that are most common in the physical and life sciences, as well as in optimal control and in the theory of filltering of signals from noisy measurements. Its aim is to make probability theory in function space readily accessible to scientists trained in the traditional methods of applied mathematics, such as integral, ordinary, and partial differential equations and asymptotic methods, rather than in probability and measure theory.

Dalla quarta di copertina

This book offers an analytical approach to stochastic processes that are most common in the physical and life sciences. Its aim is to make probability theory readily accessible to scientists trained in the traditional methods of applied mathematics, such as integral, ordinary, and partial differential equations and in asymptotic methods, rather than in probability and measure theory. It shows how to derive explicit expressions for quantities of interest by solving equations. Emphasis is put on rational modeling and approximation methods.

The book includes many detailed illustrations, applications, examples and exercises. It will appeal to graduate students and researchers in mathematics, physics and engineering.