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Titlebook: Modeling with It? Stochastic Differential Equations; E. Allen Book 2007 Springer Science+Business Media B.V. 2007 Probability theory.Rando

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發(fā)表于 2025-3-21 17:14:06 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Modeling with It? Stochastic Differential Equations
編輯E. Allen
視頻videohttp://file.papertrans.cn/637/636268/636268.mp4
概述A procedure is thoroughly explained for constructing realistic stochastic differential equation models.Many stochastic differential equation models are developed for randomly varying systems in biolog
叢書(shū)名稱(chēng)Mathematical Modelling: Theory and Applications
圖書(shū)封面Titlebook: Modeling with It? Stochastic Differential Equations;  E. Allen Book 2007 Springer Science+Business Media B.V. 2007 Probability theory.Rando
描述.Dynamical systems with random influences occur throughout the physical, biological, and social sciences. By carefully studying a randomly varying system over a small time interval, a discrete stochastic process model can be constructed. Next, letting the time interval shrink to zero, an Ito stochastic differential equation model for the dynamical system is obtained. ..This modeling procedure is thoroughly explained and illustrated for randomly varying systems in population biology, chemistry, physics, engineering, and finance. Introductory chapters present the fundamental concepts of random variables, stochastic processes, stochastic integration, and stochastic differential equations. These concepts are explained in a Hilbert space setting which unifies and simplifies the presentation. Computer programs, given throughout the text, are useful in solving representative stochastic problems. Analytical and computational exercises are provided in each chapter that complement the material in the text. ..Modeling with It? Stochastic Differential Equations .is useful for researchers and graduate students. As a textbook for a graduate course, prerequisites include probability theory, diffe
出版日期Book 2007
關(guān)鍵詞Probability theory; Random variable; Stochastic processes; dynamische Systeme; model; modeling; programmin
版次1
doihttps://doi.org/10.1007/978-1-4020-5953-7
isbn_softcover978-90-481-7487-4
isbn_ebook978-1-4020-5953-7Series ISSN 1386-2960
issn_series 1386-2960
copyrightSpringer Science+Business Media B.V. 2007
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Book 2007. Analytical and computational exercises are provided in each chapter that complement the material in the text. ..Modeling with It? Stochastic Differential Equations .is useful for researchers and graduate students. As a textbook for a graduate course, prerequisites include probability theory, diffe
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1386-2960 material in the text. ..Modeling with It? Stochastic Differential Equations .is useful for researchers and graduate students. As a textbook for a graduate course, prerequisites include probability theory, diffe978-90-481-7487-4978-1-4020-5953-7Series ISSN 1386-2960
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E. AllenA procedure is thoroughly explained for constructing realistic stochastic differential equation models.Many stochastic differential equation models are developed for randomly varying systems in biolog
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978-90-481-7487-4Springer Science+Business Media B.V. 2007
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