Del i serien Applied Mathematical Sciences

Random Perturbation Methods with Applications in Science and Engineering

Häftad, Engelska, 2012

AvAnatoli V. Skorokhod,Frank C. Hoppensteadt,Habib D. Salehi

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This book covers the impact of noise on models that are widely used in science and engineering, and applies perturbed methods which assume noise changes on a faster time or space scale than the system being studied. The book is written in two parts. The first part carefully develops mathematical methods of studying random perturbations of dynamical systems. The second part presents non-random problems, reformulated to account for both external and system random noise, and analyzed using results from Part I. Researchers and graduate students in mathematics and engineering will find this book useful.

Produktinformation

Utgivningsdatum2012-09-18
Mått155 x 235 x 28 mm
Vikt756 g
FormatHäftad
SpråkEngelska
SerieApplied Mathematical Sciences
Antal sidor490
FörlagSpringer-Verlag New York Inc.
ISBN9781468492712

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From the reviews: "The authors introduce the reader to the mathematical theory of randomly perturbed dynamical systems. ... the authors make the laudable attempt to introduce others, e.g. engineers and biologists (and non-expert mathematicians) ... by starting the book with an Introduction that in less technical terms illustrates the main facts of the theory and how these facts help one better understand the dynamical systems considered by scientists and engineers. This, together with many computer-simulated visualizations, may make the book accessible to scientists and engineers ... ." (Volker Wihstutz, Mathematical Reviews, 2003 m) "This monograph contains a well-written rigorous mathematical treatment ... and deals with modern concepts such as dynamical systems, stochastic processes, stability, Markov chains, population biology, etc. ... In summary, this reviewer would definitely recommend Random Perturbation Methods with Applications in Science and Engineering to those researchers and graduate students ... who require tools to investigate stochastic systems. The book qualifies to be a reference work that certainly would be a valuable addition in libraries of universities and laboratories pursuing research in Applied Mathematics." (VD Radulescu, Applied Mechanics Reviews, Vol. 56 (4), 2003)