ENGLISH

Coping with Complexity: Model Reduction and Data Analysis

By Alexander N. Gorban , Marshall Slemrod (auth.) , Dirk Roose (eds.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2011
ISBN
978-3-642-14940-5, 978-3-642-14941-2
DOI
10.1007/978-3-642-14941-2
Language
english
Format
PDF
Filesize
7 MB (7268477 bytes)
Series
Lecture Notes in Computational Science and Engineering 75
Edition
1
Pages
356\355
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Computational Mathematics and Numerical Analysis;SControl;TheoreticalMathematical and Computational Physics;Industrial

Description

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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