Fr. 110.00

Synchronization - From Coupled Systems to Complex Networks

Inglese · Copertina rigida

Spedizione di solito entro 3 a 5 settimane

Descrizione

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A modern introduction to synchronization phenomena, combining the development of deep mathematical concepts with illustrative examples and practical applications.

Sommario










Preface; 1. Introduction and main concepts; 2. Low-dimensional systems; 3. Multistable systems, coupled neurons and applications; 4. High-dimensional systems; 5. Complex networks; References; Index.

Info autore

Stefano Boccaletti is Senior Researcher at the Consiglio Nazionale delle Ricerche-Institute for Complex Systems. Previously he has been the Scientific Attache' at the Italian Embassy in Israel,  Full Researcher at the National Institute of Optics in Italy, and Visiting Scientist or Honorary Professor of 7 International Universities. He is the editor of four books and Editor in Chief of Chaos Solitons and Fractals.Alexander N. Pisarchik is Isaac-Peral Chair in Computational Systems Biology at the Center for Biomedical Technology of the Technical University of Madrid. His research interests include chaos theory and applications in optics, electronics, biology and medicine, chaotic cryptography and communication.Charo I. del Genio is Visiting Faculty Member at the University of Warwick and his work primarily focuses on graph theory and complex networks, particularly those with an algorithmic or simulation component. Recently he has been applying methods from network research to the study of biological systems, to explain biomolecular mechanisms and design new antimicrobial drugs.Andreas Amann is a Lecturer at University College Cork and his research interests focus on semiconductor physics, lasers and photonics and more recently, energy harvesting devices. From a mathematical perspective his work concerns synchronization, time delay and complex networks.

Riassunto

A modern introduction to synchronization phenomena, this book presents recent discoveries and the current state of research in the field, from low-dimensional systems to complex networks. The demonstrations, numerous illustrations and application examples will help advanced graduate students and researchers gain an organic understanding of the subject.

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