Mathematical Modelling of Complex Patterns Through Fractals and Dynamical Systems / edited by Gowrisankar Arulprakash, Kishore Bingi, Cristina Serpa

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Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Studies in Infrastructure and ControlVerlag: Singapore : Springer Nature Singapore, 2024Verlag: Singapore : Imprint: Springer, 2024Auflage: 1st ed. 2024Beschreibung: 1 Online-Ressource(XII, 217 p. 60 illus., 54 illus. in color.)ISBN:

9789819723430

Schlagwörter:

006.3 23

DOI: DOI: 10.1007/978-981-97-2343-0Online-Ressourcen:

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Zusammenfassung: Exploring Initial Value Problems in Fractal Delay Equations -- Multi-Level Fractal Analysis with Applications -- Topological Indices on Fractal Patterns -- The Smoothness of Multifractal Hewitt-Stromberg Dimensions -- Bivariate Rational Fractal Model with Function Values -- Epidemiology Analysis -- Nonlinear Thermal Radiation in Dynamic Energy Systems -- : Dynamic Queueing System with Time Based Uncertainty -- Dynamical Properties of Constant Uncertainty System with Optimization -- Dynamical Systems and its Complexity -- Fractal-Based Time Series Modelling -- Fractal Approaches to Climate Dynamics.Zusammenfassung: This book offers a wide range of interesting correlations beyond the domains of dynamical systems, complex systems, and fractal geometry. Exploring complex systems and their properties using the fractal approaches, this book provides initial solutions for new areas where fractal theory has yet to verify its expertise. Further, the book focusses on the latest scientific interest and illustrates general fractal theory in multidisciplinary areas such as computer science, electronics engineering, electrical engineering, bioengineering, biomedical, quantum physics and fluid dynamics research. This edited book is designed for professionals in the field of mathematics, computer science and physics, and even for non-specialists to help understand the concepts of fractals in nonlinear dynamical systems and complex systems while offering applications for researchers in the pure as well as in the applied background of science and engineering.PPN: PPN: 1903369258Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-INR | ZDB-2-SXIT

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