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Titlebook: Numerical Approximation of Ordinary Differential Problems; From Deterministic t Raffaele D‘Ambrosio Textbook 2023 The Editor(s) (if applica

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發(fā)表于 2025-3-21 16:13:17 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Numerical Approximation of Ordinary Differential Problems
副標題From Deterministic t
編輯Raffaele D‘Ambrosio
視頻videohttp://file.papertrans.cn/669/668957/668957.mp4
概述The book is comprehensive: theory, codes and historical issues are all covered in the book.The bridge from deterministic to stochastic numerics is clearly explained and interesting for a large communi
叢書名稱UNITEXT
圖書封面Titlebook: Numerical Approximation of Ordinary Differential Problems; From Deterministic t Raffaele D‘Ambrosio Textbook 2023 The Editor(s) (if applica
描述This book is focused on the numerical discretization of ordinary differential equations (ODEs), under several perspectives. The attention is first conveyed to providing accurate numerical solutions of deterministic problems. Then, the presentation moves to a more modern vision of numerical approximation, oriented to reproducing qualitative properties of the continuous problem along the discretized dynamics over long times. The book finally performs some steps in the direction of stochastic differential equations (SDEs), with the intention of offering useful tools to generalize the techniques introduced for the numerical approximation of ODEs to the stochastic case, as well as of presenting numerical issues natively introduced for SDEs..The book is the result of an intense teaching experience as well as of the research carried out in the last decade by the author. It is both intended for students and instructors: for the students, this book is comprehensive and ratherself-contained; for the instructors, there is material for one or more monographic courses on ODEs and related topics. In this respect, the book can be followed in its designed path and includes motivational aspects, hi
出版日期Textbook 2023
關鍵詞Numerical Methods for Differential Equations; Stochastic Numerics; Numerical Methods for Stochastic Di
版次1
doihttps://doi.org/10.1007/978-3-031-31343-1
isbn_softcover978-3-031-31342-4
isbn_ebook978-3-031-31343-1Series ISSN 2038-5714 Series E-ISSN 2532-3318
issn_series 2038-5714
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 21:33:13 | 只看該作者
Discretization of the Problem,book: how to compute approximate solutions to initial values problems for ODEs. In this chapter we aim to introduce some basic concepts characterizing the discretization of ODEs, as well as basic accuracy and stability requirements that a numerical method has to fulfill. We realize that step-by-step
板凳
發(fā)表于 2025-3-22 02:37:05 | 只看該作者
Linear Multistep Methods,x methods could be useful in order to achieve better accuracy and stability properties. For this reason, we present a more general family of methods relying on a multistep structure and provide the analysis of accuracy and stability properties of linear multistep methods.
地板
發(fā)表于 2025-3-22 08:29:20 | 只看該作者
Runge-Kutta Methods,abling better order and stability barriers. The strategy is novel with respect to that beyond linear multistep methods: indeed, it is no longer of multistep type, but we move to a multistage strategy relying on the information in some additional points, located inside each subinterval of the domain
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Stiff Problems,ccount. For instance, this is the case of the so-called stiff problems, usually occurring in mathematical modeling for several applications. This chapter is focused on the analysis of the main features of stiff problems and their numerical discretization. A typical phenomenon, consisting in the redu
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發(fā)表于 2025-3-23 00:29:35 | 只看該作者
Geometric Numerical Integration, also to retaining qualitative properties of the continuous problem over long times. Sometimes such conservation properties naturally characterize the numerical schemes while, in more complex situations, preservation issues have to be conveyed into the numerical approximations. The numerical preserv
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發(fā)表于 2025-3-23 01:41:09 | 只看該作者
Numerical Methods for Stochastic Differential Equations,erential equations, in order to both highlight basic accuracy and stability requirements and conservation issues along the numerical dynamics. A very brief introduction of Ito and Stratonovich calculus given, mostly in the direction of introducing the corresponding stochastic differential equations.
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發(fā)表于 2025-3-23 08:20:20 | 只看該作者
rstand the clinical presentation of thyroid diseases, their defining histopathologic and cytopathologic features, and even the intricacies of patient management. Drs. Clark and Faquin have provided a valuable framework for cytologists learning (and continuing to learn) this exacting discipline. Org-
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