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Advances in dynamics, patterns, cognition: challenges in complexity
This book focuses on recent progress in complexity research based on the fundamental nonlinear dynamical and statistical theory of oscillations, waves, chaos, and structures far from equilibrium. Celebrating seminal contributions to the field by Prof. M. I. Rabinovich of the University of California...
Autores principales: | , , , |
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Lenguaje: | eng |
Publicado: |
Springer
2017
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-53673-6 http://cds.cern.ch/record/2267242 |
_version_ | 1780954573659176960 |
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author | Aranson, Igor Pikovsky, Arkady Rulkov, Nikolai Tsimring, Lev |
author_facet | Aranson, Igor Pikovsky, Arkady Rulkov, Nikolai Tsimring, Lev |
author_sort | Aranson, Igor |
collection | CERN |
description | This book focuses on recent progress in complexity research based on the fundamental nonlinear dynamical and statistical theory of oscillations, waves, chaos, and structures far from equilibrium. Celebrating seminal contributions to the field by Prof. M. I. Rabinovich of the University of California at San Diego, this volume brings together perspectives on both the fundamental aspects of complexity studies, as well as in applications in different fields ranging from granular patterns to understanding of the cognitive brain and mind dynamics. The slate of world-class authors review recent achievements that together present a broad and coherent coverage of modern research in complexity greater than the sum of its parts. Presents the most up-to-date developments in the studies of complexity Combines basic and applied aspects Links background nonlinear theory of oscillations and waves with modern approaches Allows readers to recognize general dynamical principles across the applications fields. |
id | cern-2267242 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2017 |
publisher | Springer |
record_format | invenio |
spelling | cern-22672422021-04-21T19:12:22Zdoi:10.1007/978-3-319-53673-6http://cds.cern.ch/record/2267242engAranson, IgorPikovsky, ArkadyRulkov, NikolaiTsimring, LevAdvances in dynamics, patterns, cognition: challenges in complexityEngineeringThis book focuses on recent progress in complexity research based on the fundamental nonlinear dynamical and statistical theory of oscillations, waves, chaos, and structures far from equilibrium. Celebrating seminal contributions to the field by Prof. M. I. Rabinovich of the University of California at San Diego, this volume brings together perspectives on both the fundamental aspects of complexity studies, as well as in applications in different fields ranging from granular patterns to understanding of the cognitive brain and mind dynamics. The slate of world-class authors review recent achievements that together present a broad and coherent coverage of modern research in complexity greater than the sum of its parts. Presents the most up-to-date developments in the studies of complexity Combines basic and applied aspects Links background nonlinear theory of oscillations and waves with modern approaches Allows readers to recognize general dynamical principles across the applications fields.Springeroai:cds.cern.ch:22672422017 |
spellingShingle | Engineering Aranson, Igor Pikovsky, Arkady Rulkov, Nikolai Tsimring, Lev Advances in dynamics, patterns, cognition: challenges in complexity |
title | Advances in dynamics, patterns, cognition: challenges in complexity |
title_full | Advances in dynamics, patterns, cognition: challenges in complexity |
title_fullStr | Advances in dynamics, patterns, cognition: challenges in complexity |
title_full_unstemmed | Advances in dynamics, patterns, cognition: challenges in complexity |
title_short | Advances in dynamics, patterns, cognition: challenges in complexity |
title_sort | advances in dynamics, patterns, cognition: challenges in complexity |
topic | Engineering |
url | https://dx.doi.org/10.1007/978-3-319-53673-6 http://cds.cern.ch/record/2267242 |
work_keys_str_mv | AT aransonigor advancesindynamicspatternscognitionchallengesincomplexity AT pikovskyarkady advancesindynamicspatternscognitionchallengesincomplexity AT rulkovnikolai advancesindynamicspatternscognitionchallengesincomplexity AT tsimringlev advancesindynamicspatternscognitionchallengesincomplexity |