This proceedings 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 engineering sciences.
The principal aim of CHAOS2024 International Conference is to expand the development of the theories of the applied nonlinear field, the methods, empirical data, and computer techniques as well as the best theoretical achievements of chaotic theory. CHAOS2024 Conference provides a forum for bringing together the various groups working in the area of nonlinear and dynamical systems, chaotic theory, and application to exchange views and report research findings.
Reihe
Sprache
Verlagsort
Verlagsgruppe
Springer International Publishing
Illustrationen
107
46 s/w Abbildungen, 107 farbige Abbildungen
V, 285 p. 153 illus., 107 illus. in color.
ISBN-13
978-3-031-98173-9 (9783031981739)
Schweitzer Klassifikation
Christos H. Skiadas, Ph.D., was the founder and director of the Data Analysis and Forecasting Laboratory at the Technical University of Crete, Greece, and former vice-rector of the University. He is a chair of the Demographics Workshop series, the Applied Stochastic Models and Data Analysis Conference series, and the Chaotic Modeling and Simulation Conference series. He has published more than 80 papers, three monographs, and 24 books, including probability, statistics, data analysis, and forecasting. His research interests include innovation diffusion modeling and forecasting, life table data modeling, healthy life expectancy estimates, and deterministic, stochastic, and chaotic modeling. Charilaos Skiadas, Ph.D., is an associate professor in mathematics and computer science at Hanover College, Indiana, USA. His research interests encompass a wide array of mathematical and computing topics, ranging from algebraic geometry to statistics and programming languages to data science and health state modeling.
