Overview
- Presents latest results in nonlinear dynamics applications in various branches of society, science, and engineering
- Covers topics including quantum chaos, deep learning and machine learning, and the dynamics of the COVID-19 pandemic
- Is useful to both students and researchers interested in nonlinear dynamics and its practical applications
Part of the book series: Springer Proceedings in Complexity (SPCOM)
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Keywords
- Dynamical Systems
- Chaos, Complexity and Fractals
- The Dynamics of COVID 19 Pandemic
- Graphs and Networks
- Plasma Dynamics and Applications
- Fluid Dynamics and Nonlinear Flows
- Fractional Systems and Applications
- Communication and its Application
- Cryptography and Networks
- Deep Learning and Machine Learning
- Chaos and Complexity in Social Structures
- Ecological, Biological and Biomedical Models
- Signal Processing and Signal Analysis
- Quantum Systems and Quantum Chaos
- Financial Data and Applications
- Genetic Algorithm, Optimization and Artificial Intelligence
- Nonlinear Effects on Climate Change
Table of contents (124 papers)
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Nonlinear Waves and Plasma Dynamics
Editors and Affiliations
Bibliographic Information
Book Title: Nonlinear Dynamics and Applications
Book Subtitle: Proceedings of the ICNDA 2022
Editors: Santo Banerjee, Asit Saha
Series Title: Springer Proceedings in Complexity
DOI: https://doi.org/10.1007/978-3-030-99792-2
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: 978-3-030-99791-5Published: 06 October 2022
Softcover ISBN: 978-3-030-99794-6Published: 07 October 2023
eBook ISBN: 978-3-030-99792-2Published: 06 October 2022
Series ISSN: 2213-8684
Series E-ISSN: 2213-8692
Edition Number: 1
Number of Pages: XXXI, 1474
Number of Illustrations: 57 b/w illustrations, 551 illustrations in colour
Topics: Complex Systems, Dynamical Systems and Ergodic Theory, Vibration, Dynamical Systems, Control, Plasma Physics, Probability Theory and Stochastic Processes, Machine Learning