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Coping with Complexity: Model Reduction and Data Analysis

  • Fester Einband
  • 356 Seiten
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Leseprobe
This volume contains the extended version of selected talks given at the international research workshop "Coping with Complexity: ... Weiterlesen
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Beschreibung

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.

Highly interdisciplinary and helps to circumvent the language barriers between different disciplines.

Gives the reader an view on the state-of-the-art in both theoretical and practical issues in model reduction and data analysis of complex and multiscale mathematical models.

Produktinformationen

Titel: Coping with Complexity: Model Reduction and Data Analysis
Editor:
EAN: 9783642149405
ISBN: 978-3-642-14940-5
Format: Fester Einband
Herausgeber: Springer, Berlin
Genre: Mathematik
Anzahl Seiten: 356
Gewicht: g
Größe: H235mm x B235mm x T155mm
Jahr: 2010
Auflage: 2011

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