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Coping with Complexity: Model Reduction and Data Analysis

Coping with Complexity: Model Reduction and Data Analysis

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Lecture Notes in Computational Science and Engineering

Coping with Complexity: Model Reduction and Data Analysis

Alexander N. Gorban | Dirk Roose

Mathematics / Numerical Analysis

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.

Publication Date: 25 October 2010
Publisher: Springer Berlin Heidelberg
Imprint: Springer
ISBN-13: 9783642149405
Format: Hardback
Page Count: 356

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