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

Por:

Gorban, Alexander N [editor.]

Colaborador(es):

Tipo de material: Texto

TextoSeries Lecture Notes in Computational Science and Engineering ; 75Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Descripción: xii, 356 páginas recurso en líneaTipo de contenido:

texto

Tipo de medio:

computadora

Tipo de portador:

recurso en línea

ISBN:

9783642149412

Formatos físicos adicionales: Edición impresa:: Sin títuloClasificación LoC:

QA71-90

Recursos en línea:

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Resumen: 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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Springer eBooks

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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