Coping with Complexity: Model Reduction and Data Analysis [electronic resource] / edited by Alexander N. Gorban, Dirk Roose.

Por: Gorban, Alexander N [editor.]Colaborador(es): Roose, Dirk [editor.]Tipo de material: TextoTextoSeries Lecture Notes in Computational Science and Engineering, 75Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Descripción: XII, 356 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783642149412Trabajos contenidos: SpringerLink (Online service)Tema(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 EngineeringFormatos físicos adicionales: Sin títuloClasificación CDD: 518 | 518 Clasificación LoC:QA71-90Recursos en línea: de clik aquí para ver el libro electrónico Springer eBooksResumen: 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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