Gorban Coping with Complexity: Model Reduction and Data Analysis

Coping with Complexity: Model Reduction and Data Analysis

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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.
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.

Autor*in

Alexander N. Gorban

Themen in »Coping with Complexity: Model Reduction and Data Analysis«

asymptotics dimensionality reduction invariant manifolds kinetics model reduction singular perturbation

Stimmen zu »Coping with Complexity: Model Reduction and Data Analysis«

Details

ISBN: 9783642265617
Verlag: Springer Berlin
Erscheinung: 01.12.2012

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