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Titlebook: Predictability of Chaotic Dynamics; A Finite-time Lyapun Juan C. Vallejo,Miguel A. F. Sanjuan Book 2019Latest edition Springer Nature Switz

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書(shū)目名稱(chēng)Predictability of Chaotic Dynamics
副標(biāo)題A Finite-time Lyapun
編輯Juan C. Vallejo,Miguel A. F. Sanjuan
視頻videohttp://file.papertrans.cn/755/754520/754520.mp4
概述Authored by leading researchers in the field.Self-contained introduction and presentation.Includes a number of worked-out examples.New, significantly expanded edition
叢書(shū)名稱(chēng)Springer Series in Synergetics
圖書(shū)封面Titlebook: Predictability of Chaotic Dynamics; A Finite-time Lyapun Juan C. Vallejo,Miguel A. F. Sanjuan Book 2019Latest edition Springer Nature Switz
描述.This book is primarily concerned with the computational aspects of predictability of dynamical systems - in particular those where observations, modeling and computation are strongly interdependent. Unlike with physical systems under control in laboratories, in astronomy it is uncommon to have the possibility of altering the key parameters of the studied objects. Therefore, the numerical simulations offer an essential tool for analysing these systems, and their reliability is of ever-increasing interest and importance. In this interdisciplinary scenario, the underlying physics provide the simulated models, nonlinear dynamics provides their chaoticity and instability properties, and the computer sciences provide the actual numerical implementation...This book introduces and explores precisely this link between the models and their predictability characterization based on concepts derived from the field of nonlinear dynamics,?with a focus on the strong sensitivity to initial conditions and the use of Lyapunov exponents to characterize this sensitivity. This method is illustrated using several well-known continuous dynamical systems, such as?the Contopoulos, Hénon-Heiles and R?ssler
出版日期Book 2019Latest edition
關(guān)鍵詞Finite Lyapunov exponents; Henon-Heiles system; Simulation of galactic dynamics; Forecasting in chaotic
版次2
doihttps://doi.org/10.1007/978-3-030-28630-9
isbn_softcover978-3-030-28632-3
isbn_ebook978-3-030-28630-9Series ISSN 0172-7389 Series E-ISSN 2198-333X
issn_series 0172-7389
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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