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Chaotic Modelling and Simulation

Analysis of Chaotic Models, Attractors and Forms

Udgivet af Taylor & Francis Ltd

Bogdetaljer

  • Hæftet
  • 364 sider
  • Engelsk
ISBN 9780367386658
Om denne bog

Offers Both Standard and Novel Approaches for the Modeling of SystemsExamines the Interesting Behavior of Particular Classes of ModelsChaotic Modelling and Simulation: Analysis of Chaotic Models, Attractors and Forms presents the main models developed by pioneers of chaos theory, along with new extensions and variation…

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Bogdetaljer
Forlag Taylor & Francis Ltd
Kategori Kybernetik og systemteori
ISBN-13 9780367386658
EAN 9780367386658
Format Hæftet
Sprog Engelsk
sider 364
Undertitel - Analysis of Chaotic Models, Attractors and Forms
Produktbeskrivelse
Offers Both Standard and Novel Approaches for the Modeling of SystemsExamines the Interesting Behavior of Particular Classes of ModelsChaotic Modelling and Simulation: Analysis of Chaotic Models, Attractors and Forms presents the main models developed by pioneers of chaos theory, along with new extensions and variations of these models. Using more than 500 graphs and illustrations, the authors show how to design, estimate, and test an array of models.Requiring little prior knowledge of mathematics, the book focuses on classical forms and attractors as well as new simulation methods and techniques. Ideas clearly progress from the most elementary to the most advanced. The authors cover deterministic, stochastic, logistic, Gaussian, delay, Hénon, Holmes, Lorenz, Rössler, and rotation models. They also look at chaotic analysis as a tool to design forms that appear in physical systems; simulate complicated and chaotic orbits and paths in the solar system; explore the HénonHeiles, Contopoulos, and Hamiltonian systems; and provide a compilation of interesting systems and variations of systems, including the very intriguing LotkaVolterra system.Making a complex topic accessible through a visual and geometric style, this book should inspire new developments in the field of chaotic models and encourage more readers to become involved in this rapidly advancing area.

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