Overview
Part of the book series: Springer Proceedings in Complexity (SPCOM)
Included in the following conference series:
Conference proceedings info: CHAOS 2021.
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About this book
Gathering the proceedings of the 14th CHAOS2021 International Conference, this book highlights recent developments in nonlinear, dynamical and complex systems. The conference was intended to provide an essential forum for Scientists and Engineers to exchange ideas, methods, and techniques in the field of Nonlinear Dynamics, Chaos, Fractals and their applications in General Science and the Engineering Sciences.
The respective chapters address key methods, empirical data and computer techniques, as well as major theoretical advances in the applied nonlinear field. Beyond showcasing the state of the art, the book will help academic and industrial researchers alike apply chaotic theory in their studies.
Chapter "On the Origin of the Universe: Chaos or Cosmos" is available open access under a Creative Commons Attribution 4.0 International License via springerlink.bibliotecabuap.elogim.comSimilar content being viewed by others
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Table of contents (38 papers)
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14th Chaotic Modeling and Simulation International Conference
Editors and Affiliations
Bibliographic Information
Book Title: 14th Chaotic Modeling and Simulation International Conference
Editors: Christos H. Skiadas, Yiannis Dimotikalis
Series Title: Springer Proceedings in Complexity
DOI: https://doi.org/10.1007/978-3-030-96964-6
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-96963-9Published: 15 June 2022
Softcover ISBN: 978-3-030-96966-0Published: 16 June 2023
eBook ISBN: 978-3-030-96964-6Published: 13 June 2022
Series ISSN: 2213-8684
Series E-ISSN: 2213-8692
Edition Number: 1
Number of Pages: XV, 566
Number of Illustrations: 73 b/w illustrations, 184 illustrations in colour
Topics: Complex Systems, Simulation and Modeling