Random perturbation methods with applications in science and engineering

• 作者: Skorokhod, A. V.
• 其他作者: Hoppensteadt, Frank C. , Salehi, Habib,
• 出版: New York : Springer ©2002.
• 稽核項: 1 online resource (xi, 488 pages) :illustrations.
• 叢書名: Applied mathematical sciences ;150
• 標題: MATHEMATICS Pre-Calculus. , Perturbation (Mathematics) , Pre-Calculus. , Reference. , Differential EquationsGeneral. , Electronic books. , Differentiable dynamical systems. , MATHEMATICS Essays. , MATHEMATICS , MATHEMATICS Differential Equations -- General. , Essays. , MATHEMATICS Reference.
• ISBN: 1468492713 , 9781468492712
• ISBN: 9780387954271 , 0387954279
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• 附註: Includes bibliographical references (pages 472-484) and index. Introduction -- Ergodic Theorems -- Convergence Properties of Stochastic Processes -- Averaging -- Normal Deviation -- Diffusion Approximation -- Stability -- Markov Chains with Random Transition Probabilities -- Randomly Perturbed Mechanical Systems -- Dynamical Systems on a Torus -- The Phase Locked Loop -- Models in Population Biology -- Genetics -- Appendices -- Index.
• 摘要: As systems evolve, they are subjected to random operating environments. In addition, random errors occur in measurements of their outputs and in their design and fabrication where tolerances are not precisely met. This book develops methods for describing random dynamical systems, and it illustrates how the methods can be used in a variety of applications. The first half of the book concentrates on finding approximations to random processes using the methodologies of probability theory. The second half of the book derives approximations to solutions of various problems in mechanics, electronic circuits, population biology, and genetics. In each example, the underlying physical or biological phenomenon is described in terms of nonrandom models taken from the literature, and the impact of random noise on the solutions is investigated. The mathematical problems in these applicitons involve random pertubations of gradient systems, Hamiltonian systems, toroidal flows, Markov chains, difference equations, filters, and nonlinear renewal equations. The models are analyzed using the approximation methods described here and are visualized using MATLAB-based computer simulations. This book will appeal to those researchers and graduate students in science and engineering who require tools to investigate stochastic systems.
• 電子資源: https://dbs.tnua.edu.tw/login?url=https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=98908
• 系統號: 005322439
• 資料類型: 電子書
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• 引用網址: 複製連結
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