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Titlebook: Understanding Nonlinear Dynamics; Daniel Kaplan,Leon Glass Textbook 1995 Springer Science+Business Media New York 1995 Algebra.algorithms.

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發(fā)表于 2025-3-21 16:58:52 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Understanding Nonlinear Dynamics
編輯Daniel Kaplan,Leon Glass
視頻videohttp://file.papertrans.cn/942/941571/941571.mp4
叢書名稱Textbooks in Mathematical Sciences
圖書封面Titlebook: Understanding Nonlinear Dynamics;  Daniel Kaplan,Leon Glass Textbook 1995 Springer Science+Business Media New York 1995 Algebra.algorithms.
描述Mathematics is playing an ever more important role in the physical and biological sciences, provoking a blurring of boundaries between scientific disciplines and a resurgence of interest in the modern as well as the classical techniques of applied mathematics. This renewal of interest, both in research and teaching, has led to the establishment of the series: Texts in Applied Mathematics ( TAM). The development of new courses is a natural consequence of a high level of excitement on the research frontier as newer techniques, such as numerical and symbolic computer systems, dynamical systems, and chaos, mix with and reinforce the traditional methods of applied mathematics. Thus, the purpose of this textbook series is to meet the current and future needs of these advances and encourage the teaching of new courses. TAM will publish textbooks suitable for use in advanced undergraduate and beginning graduate courses, and will complement the Applied Mathematical Sciences (AMS) series, which will focus on advanced textbooks and research level monographs. About the Authors Daniel Kaplan specializes in the analysis of data using techniques motivated by nonlinear dynamics. His primary intere
出版日期Textbook 1995
關鍵詞Algebra; algorithms; calculus; chaos; data analysis; differential equation; dynamics; fractal; fractal geome
版次1
doihttps://doi.org/10.1007/978-1-4612-0823-5
isbn_softcover978-0-387-94440-1
isbn_ebook978-1-4612-0823-5Series ISSN 1431-9381
issn_series 1431-9381
copyrightSpringer Science+Business Media New York 1995
The information of publication is updating

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Finite-Difference Equations,ught in the net. She repeats this ritual for several years, following up on the work of previous graduate students. The resulting measurements might look like the graph shown in Figure 1.1. The graduate student notes the variability in her measurements and wants to find out if they contain any impor
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Self-Similarity and Fractal Geometry,ulting object will be similar to the limb and to the entire tree. If you cut a twig off this branch, it too will resemble the entire tree. The term . describes the geometry of objects in which a small part when expanded looks like the whole.
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Two-Dimensional Differential Equations, time increased. We know that in the real world quantities can also oscillate up and down in a regular or irregular fashion. The one-dimensional differential equations in the previous chapter, which have a single variable and a first derivative, cannot produce oscillation. In this chapter we conside
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Time-Series Analysis,points, limit cycles, and chaos. The goal of applied dynamics is to relate these mathematical systems to physical or biological systems of interest. The approach we have taken so far is model building—we use our understanding of the physical system to write dynamical equations. For example, we used
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