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Coping with Complexity: Model Reduction and Data Analysis [electronic resource] / edited by Alexander N. Gorban, Dirk Roose.

Por: Colaborador(es): Tipo de material: TextoTextoSeries Lecture Notes in Computational Science and Engineering ; 75 | Lecture Notes in Computational Science and Engineering ; 75Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Descripción: XII, 356 p. online resourceTipo de contenido:
  • text
Tipo de medio:
  • computer
Tipo de soporte:
  • online resource
ISBN:
  • 9783642149412
Trabajos contenidos:
  • SpringerLink (Online service)
Tema(s): Formatos físicos adicionales: Sin títuloClasificación CDD:
  • 518 23
  • 518 23
Clasificación LoC:
  • QA71-90
Recursos en línea: Springer eBooksResumen: This volume contains the extended version of selected talks given at the international research workshop "Coping with Complexity: Model Reduction and Data Analysis", Ambleside, UK, August 31 September 4, 2009. The book is deliberately broad in scope and aims at promoting new ideas and methodological perspectives. The topics of the chapters range from theoretical analysis of complex and multiscale mathematical models to applications in e.g., fluid dynamics and chemical kinetics.
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This volume contains the extended version of selected talks given at the international research workshop "Coping with Complexity: Model Reduction and Data Analysis", Ambleside, UK, August 31 September 4, 2009. The book is deliberately broad in scope and aims at promoting new ideas and methodological perspectives. The topics of the chapters range from theoretical analysis of complex and multiscale mathematical models to applications in e.g., fluid dynamics and chemical kinetics.

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