Coping with Complexity: Model Reduction and Data Analysis [electronic resource] / edited by Alexander N. Gorban, Dirk Roose.
By: Gorban, Alexander N [editor.].
Contributor(s): Roose, Dirk [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Computational Science and Engineering: 75Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Description: XII, 356 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642149412.Subject(s): Mathematics | Chemical engineering | Systems theory | Computer science -- Mathematics | Mathematics | Computational Mathematics and Numerical Analysis | Systems Theory, Control | Theoretical, Mathematical and Computational Physics | Industrial Chemistry/Chemical EngineeringDDC classification: 518 | 518 Online resources: Click here to access online
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Springer eBooksSummary: 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.
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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.
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