Coping with Complexity: Model Reduction and Data Analysis

• Corporate Author: SpringerLink (Online service)
• Other Authors: Gorban, Alexander N. (Editor), Roose, Dirk (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.
• Series: Lecture Notes in Computational Science and Engineering, 75
• Subjects: Mathematics.; Chemical engineering.; System theory.; Computer mathematics.; Physics.; Computational Mathematics and Numerical Analysis.; Systems Theory, Control.; Theoretical, Mathematical and Computational Physics.; Industrial Chemistry/Chemical Engineering.
• Physical Description: XII, 356 p. 86 illus. online resource.
• ISBN: 9783642149412
• ISSN: 1439-7358 ;

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.