Handbook of Applications of Chaos Theory
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In addition to explaining and modeling unexplored phenomena in nature and society, chaos uses vital parts of nonlinear dynamical systems theory and established chaotic theory to open new frontiers and fields of study. This handbook covers the main parts of chaos theory along with various applications to diverse areas. It shows how chaos theory is used to model unexplored cases and stimulate new applications. The book discusses applications of chaos theory in biology, medicine, mechanical sciences, pattern recognition and encryption systems, socioeconomic and human sciences, and music.

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Produktbeschreibung
In addition to explaining and modeling unexplored phenomena in nature and society, chaos uses vital parts of nonlinear dynamical systems theory and established chaotic theory to open new frontiers and fields of study. This handbook covers the main parts of chaos theory along with various applications to diverse areas. It shows how chaos theory is used to model unexplored cases and stimulate new applications. The book discusses applications of chaos theory in biology, medicine, mechanical sciences, pattern recognition and encryption systems, socioeconomic and human sciences, and music.
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Autorenporträt
Christos H. Skiadas, PhD, was the founder and director of the Data Analysis and Forecasting Laboratory at the Technical University of Crete. He is chair of the Chaotic Modeling and Simulation Conference series. He has published more than 80 papers, three monographs, and 12 books, including Chaotic Modeling and Simulation: Analysis of Chaotic Models, Attractors and Forms (Chapman & Hall/CRC, October 2008). 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, PhD, is an associate professor in mathematics and computer science at Hanover College. He is the coauthor of Chaotic Modeling and Simulation: Analysis of Chaotic Models, Attractors and Forms (Chapman & Hall/CRC, October 2008). His research interests encompass a wide array of mathematical and computing topics, ranging from algebraic geometry to statistics and programming languages to data science.