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Chaos: from simple models to complex systems
Chaos: from simple models to complex systems aims to guide science and engineering students through chaos and nonlinear dynamics from classical examples to the most recent fields of research. The first part, intended for undergraduate and graduate students, is a gentle and self-contained introductio...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
World Scientific
2010
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/1706487 |
| _version_ | 1780936504918409216 |
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| author | Cencini, Massimo Cecconi, Fabio Vulpiani, Angelo |
| author_facet | Cencini, Massimo Cecconi, Fabio Vulpiani, Angelo |
| author_sort | Cencini, Massimo |
| collection | CERN |
| description | Chaos: from simple models to complex systems aims to guide science and engineering students through chaos and nonlinear dynamics from classical examples to the most recent fields of research. The first part, intended for undergraduate and graduate students, is a gentle and self-contained introduction to the concepts and main tools for the characterization of deterministic chaotic systems, with emphasis to statistical approaches. The second part can be used as a reference by researchers as it focuses on more advanced topics including the characterization of chaos with tools of information theor |
| id | cern-1706487 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2010 |
| publisher | World Scientific |
| record_format | invenio |
| spelling | cern-17064872021-04-21T20:59:15Zhttp://cds.cern.ch/record/1706487engCencini, MassimoCecconi, FabioVulpiani, AngeloChaos: from simple models to complex systemsMathematical Physics and MathematicsChaos: from simple models to complex systems aims to guide science and engineering students through chaos and nonlinear dynamics from classical examples to the most recent fields of research. The first part, intended for undergraduate and graduate students, is a gentle and self-contained introduction to the concepts and main tools for the characterization of deterministic chaotic systems, with emphasis to statistical approaches. The second part can be used as a reference by researchers as it focuses on more advanced topics including the characterization of chaos with tools of information theorWorld Scientificoai:cds.cern.ch:17064872010 |
| spellingShingle | Mathematical Physics and Mathematics Cencini, Massimo Cecconi, Fabio Vulpiani, Angelo Chaos: from simple models to complex systems |
| title | Chaos: from simple models to complex systems |
| title_full | Chaos: from simple models to complex systems |
| title_fullStr | Chaos: from simple models to complex systems |
| title_full_unstemmed | Chaos: from simple models to complex systems |
| title_short | Chaos: from simple models to complex systems |
| title_sort | chaos: from simple models to complex systems |
| topic | Mathematical Physics and Mathematics |
| url | http://cds.cern.ch/record/1706487 |
| work_keys_str_mv | AT cencinimassimo chaosfromsimplemodelstocomplexsystems AT cecconifabio chaosfromsimplemodelstocomplexsystems AT vulpianiangelo chaosfromsimplemodelstocomplexsystems |