Overview
- Illustrates the broad research influence of tools coming from dynamical systems, nonlinear physics, and statistical dynamics
- Adopts a pedagogic approach to facilitate understanding by non-specialists and students
- Presents applications in complex systems
- Includes 150 illustrations
- Includes supplementary material: sn.pub/extras
Part of the book series: Nonlinear Systems and Complexity (NSCH, volume 5)
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About this book
From Hamiltonian Chaos to Complex Systems: A Nonlinear Physics Approach collects contributions on recent developments in non-linear dynamics and statistical physics with an emphasis on complex systems. This book provides a wide range of state-of-the-art research in these fields. The unifying aspect of this book is demonstration of how similar tools coming from dynamical systems, nonlinear physics, and statistical dynamics can lead to a large panorama of research in various fields of physics and beyond, most notably with the perspective of application in complex systems.
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Keywords
Table of contents (10 chapters)
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Low Dimensional Chaos
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From Chaos to Kinetics: Application to Hot Plasmas
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From Kinetics to Fluids and Solids
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Beyond Physics: Examples of Complex Systems
Editors and Affiliations
About the editors
Marc Leonetti, Aix-Marseille Université, leonetti@irphe.univ-mrs.fr
Bibliographic Information
Book Title: From Hamiltonian Chaos to Complex Systems
Book Subtitle: A Nonlinear Physics Approach
Editors: Xavier Leoncini, Marc Leonetti
Series Title: Nonlinear Systems and Complexity
DOI: https://doi.org/10.1007/978-1-4614-6962-9
Publisher: Springer New York, NY
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media New York 2013
Hardcover ISBN: 978-1-4614-6961-2Published: 14 July 2013
Softcover ISBN: 978-1-4939-0045-9Published: 06 August 2015
eBook ISBN: 978-1-4614-6962-9Published: 14 July 2013
Series ISSN: 2195-9994
Series E-ISSN: 2196-0003
Edition Number: 1
Number of Pages: XVII, 325
Topics: Complexity, Applications of Nonlinear Dynamics and Chaos Theory, Complex Systems