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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...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
World Scientific
2007
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/1019739 |
| _version_ | 1780912061562224640 |
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| author | Nicolis, Gregoire Nicolis, Catherine |
| author_facet | Nicolis, Gregoire Nicolis, Catherine |
| author_sort | Nicolis, Gregoire |
| collection | CERN |
| description | 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 |
| id | cern-1019739 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2007 |
| publisher | World Scientific |
| record_format | invenio |
| spelling | cern-10197392021-04-22T02:02:46Zhttp://cds.cern.ch/record/1019739engNicolis, GregoireNicolis, CatherineFoundations of Complex Systems: Nonlinear Dynamics, Statistical Physics, and PredictionMathematical Physics and MathematicsComplexity 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, hWorld Scientificoai:cds.cern.ch:10197392007 |
| spellingShingle | Mathematical Physics and Mathematics Nicolis, Gregoire Nicolis, Catherine Foundations of Complex Systems: Nonlinear Dynamics, Statistical Physics, and Prediction |
| title | Foundations of Complex Systems: Nonlinear Dynamics, Statistical Physics, and Prediction |
| title_full | Foundations of Complex Systems: Nonlinear Dynamics, Statistical Physics, and Prediction |
| title_fullStr | Foundations of Complex Systems: Nonlinear Dynamics, Statistical Physics, and Prediction |
| title_full_unstemmed | Foundations of Complex Systems: Nonlinear Dynamics, Statistical Physics, and Prediction |
| title_short | Foundations of Complex Systems: Nonlinear Dynamics, Statistical Physics, and Prediction |
| title_sort | foundations of complex systems: nonlinear dynamics, statistical physics, and prediction |
| topic | Mathematical Physics and Mathematics |
| url | http://cds.cern.ch/record/1019739 |
| work_keys_str_mv | AT nicolisgregoire foundationsofcomplexsystemsnonlineardynamicsstatisticalphysicsandprediction AT nicoliscatherine foundationsofcomplexsystemsnonlineardynamicsstatisticalphysicsandprediction |