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Foundations of Complex Systems: Nonlinear Dynamics, Statistical Physics, and Prediction

Complexity is emerging as a post-Newtonian paradigm for approaching a large body of phenomena of concern at the crossroads of physical, engineering, environmental, life and human sciences from a unifying point of view. This book outlines the foundations of modern complexity research as it arose from...

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Detalles Bibliográficos
Autores principales: Nicolis, Gregoire, Nicolis, Catherine
Lenguaje:eng
Publicado: World Scientific 2007
Materias:
Acceso en línea:http://cds.cern.ch/record/1019739
Descripción
Sumario:Complexity is emerging as a post-Newtonian paradigm for approaching a large body of phenomena of concern at the crossroads of physical, engineering, environmental, life and human sciences from a unifying point of view. This book outlines the foundations of modern complexity research as it arose from the cross-fertilization of ideas and tools from nonlinear science, statistical physics and numerical simulation. It is shown how these developments lead to an understanding, both qualitative and quantitative, of the complex systems encountered in nature and in everyday experience and, conversely, h