Synchronization in oscillatory networks

The formation of collective behavior in large ensembles or networks of coupled oscillatory elements is one of the oldest and most fundamental aspects of dynamical systems theory. Potential and present applications span a vast spectrum of fields ranging from physics, chemistry, geoscience, through li...

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Autors principals: Osipov, Grigory V., Kurths, Jürgen, 19..- (Autor), Zhou, Changsong (Autor)
Format: Livre numérique
Idioma:Anglais
Publicat: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edició:1st ed. 2007.
Col·lecció:Springer Series in Synergetics
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Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Synchronization in oscillatory networks, Grigory V. Osipov, Jürgen Kurths, Changsong Zhou, Berlin, Springer, 2007, 1 vol. (XIV-368 p.), Springer series in synergetics, 978-3-540-71268-8
• Synchronization in Oscillatory Networks, Texte imprimé, 9783540836148
• Synchronization in Oscillatory Networks, Texte imprimé, 9783642090356
• Synchronization in oscillatory networks, Grigory V. Osipov, Jürgen Kurths, Changsong Zhou, Berlin, Springer, 2007, 1 vol. (XIV-368 p.), Springer series in synergetics, 978-3-540-71268-8
Descripció
Sumari:The formation of collective behavior in large ensembles or networks of coupled oscillatory elements is one of the oldest and most fundamental aspects of dynamical systems theory. Potential and present applications span a vast spectrum of fields ranging from physics, chemistry, geoscience, through life- and neurosciences to engineering, the economic and the social sciences. This work systematically investigates a large number of oscillatory network configurations that are able to describe many real systems such as electric power grids, lasers or the heart muscle - to name but a few. This book is conceived as an introduction to the field for graduate students in physics and applied mathematics as well as being a compendium for researchers from any field of application interested in quantitative models
Descripció de l’ítem:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783540712695
ISSN:2198-333X
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