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Titlebook: Numerical Solution of SDE Through Computer Experiments; Peter E. Kloeden,Eckhard Platen,Henri Schurz Textbook 1994 Springer-Verlag Berlin

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書(shū)目名稱Numerical Solution of SDE Through Computer Experiments
編輯Peter E. Kloeden,Eckhard Platen,Henri Schurz
視頻videohttp://file.papertrans.cn/670/669216/669216.mp4
概述Complements the authors‘ previous book for readers needing less theoretical background information.Provides calculation models for concrete problems using SDE.This 2nd volume can be used quite indepen
叢書(shū)名稱Universitext
圖書(shū)封面Titlebook: Numerical Solution of SDE Through Computer Experiments;  Peter E. Kloeden,Eckhard Platen,Henri Schurz Textbook 1994 Springer-Verlag Berlin
描述The numerical solution of stochastic differential equations is becoming an in- dispensible worktool in a multitude of disciplines, bridging a long-standing gap between the well advanced theory of stochastic differential equations and its application to specific examples. This has been made possible by the much greater accessibility to high-powered computers at low-cost combined with the availability of new, effective higher order numerical schemes for stochastic dif- ferential equations. Many hitherto intractable problems can now be tackled successfully and more realistic modelling with stochastic differential equations undertaken. The aim of this book is to provide a computationally oriented introduction to the numerical solution of stochastic differential equations, using computer experiments to develop in the readers an ability to undertake numerical studies of stochastic differential equations that arise in their own disciplines and an understanding, intuitive at least, of the necessary theoretical background. It is related to, but can also be used independently of the monograph P. E. Kloeden and E. Platen, Numerical Solution of Stochastic Differential Equations, Applications o
出版日期Textbook 1994
關(guān)鍵詞Computer Experiment; SDE; discrete time approximations; higher order numerical schemes; numerical simula
版次1
doihttps://doi.org/10.1007/978-3-642-57913-4
isbn_softcover978-3-540-57074-5
isbn_ebook978-3-642-57913-4Series ISSN 0172-5939 Series E-ISSN 2191-6675
issn_series 0172-5939
copyrightSpringer-Verlag Berlin Heidelberg 1994
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Applications,rical solution of a stochastic differential equation can provide useful information and insights. The direct simulation of trajectories by a strong scheme allows the behaviour of a stochastic dynamical system to be visualized. Theoretically derived parametric estimators and finite-state Markov chain
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Peter E. Kloeden,Eckhard Platen,Henri Schurzlled personnel. Fast-track training solutions together with competences to handle digital economies and global mobilities are required. This chapter attempts to understand the institutional context for university investment in hospitality experiential learning by developing a theoretical framework o
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