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Titlebook: Chaos, Nonlinearity, Complexity; The Dynamical Paradi A. Sengupta Book 2006 Springer-Verlag Berlin Heidelberg 2006 Chaos.Nonlinear Function

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書目名稱Chaos, Nonlinearity, Complexity
副標題The Dynamical Paradi
編輯A. Sengupta
視頻videohttp://file.papertrans.cn/224/223910/223910.mp4
概述Carefully edited and selected outcome of the international workshop IIT held in Kanpur, India March 2004 featuring a focused debate on the mathematics and physics of Chaos, complexity and the Nonlinea
叢書名稱Studies in Fuzziness and Soft Computing
圖書封面Titlebook: Chaos, Nonlinearity, Complexity; The Dynamical Paradi A. Sengupta Book 2006 Springer-Verlag Berlin Heidelberg 2006 Chaos.Nonlinear Function
描述I think the next century will be the century of complexity. We have already discovered the basic laws that govern matter and understand all the normal situations. We don’t know how the laws ?t together, and what happens under extreme conditions. But I expect we will ?nd a complete uni?ed theory sometime this century. There is no limit to the complexity that we can build using those basic laws. Stephen Hawking, January 2000. We don’t know what we are talking about. Many of us believed that string theory was a very dramatic break with our previous notions of quantum theory. But now we learn that string theory, well, is not that much of a break. The state of physics today is like it was when we were mysti?ed by radioactivity. They were missing something absolutely fundamental. We are missing perhaps something as profound as they were back then. Nobel Laureate David Gross, December 2005. This volume is essentially a compilation of papers presented at the Int- national Workshop on Mathematics and Physics of Complex and Nonlinear Systems that was held at Indian Institute of Technology Kanpur, March 14 – 26, 2004 on the theme ChaNoXity: The Nonlinear Dynamics of Nature.
出版日期Book 2006
關(guān)鍵詞Chaos; Nonlinear Functional Analysis; Nonlinearity; complex system; complex systems; complexity; dynamisch
版次1
doihttps://doi.org/10.1007/3-540-31757-0
isbn_softcover978-3-642-42160-0
isbn_ebook978-3-540-31757-9Series ISSN 1434-9922 Series E-ISSN 1860-0808
issn_series 1434-9922
copyrightSpringer-Verlag Berlin Heidelberg 2006
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Foundations of Nonextensive Statistical Mechanics,ts, the counting algorithm and the evaluation of the density of states can appropriately be generalized for describing the power-law distributions. The generalized Boltzmann equation and the associated .-theorem are also considered for the Tsallis entropy and the maximum Tsallis entropy distribution.
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Power Law and Tsallis Entropy: Network Traffic and Applications,work performance. Highlighting the salient features of Tsallis entropy, the axiomatic foundations of parametric entropies are also discussed. Possible application of nonextensive thermodynamics to study the macroscopic behavior of broadband network is outlined.
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