Coping with Complexity: Model Reduction and Data Analysis (Hardcover, 2011 Ed.)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Lecture Notes in Computational Science and Engineering, 75
Release date:	October 2010
First published:	2011
Editors:	Alexander N Gorban • Dirk Roose
Dimensions:	235 x 155 x 20mm (L x W x T)
Format:	Hardcover
Pages:	356
Edition:	2011 Ed.
ISBN-13:	978-3-642-14940-5
Categories:	Books > Science & Mathematics > Mathematics > Numerical analysis Books > Science & Mathematics > Physics > General Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Professional & Technical > Industrial chemistry & manufacturing technologies > Industrial chemistry > General
LSN:	3-642-14940-5
Barcode:	9783642149405

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