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Coping with Complexity: Model Reduction and Data 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 me...

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Bibliographic Details
Other Authors: Gorban, Alexander N. (Editor), Roose, Dirk (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2011, 2011
Edition:1st ed. 2011
Series:Lecture Notes in Computational Science and Engineering
Subjects:
Computational Mathematics And Numerical Analysis
Mathematics / Data Processing
Control Theory
Systems Theory, Control
System Theory
Chemistry, Technical
Mathematical Physics
Theoretical, Mathematical And Computational Physics
Industrial Chemistry
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Description
Summary: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
Physical Description:XII, 356 p. 86 illus online resource
ISBN:9783642149412

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