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|a 9783642149412
|9 978-3-642-14941-2
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|a 10.1007/978-3-642-14941-2
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|a Coping with Complexity: Model Reduction and Data Analysis
|h [electronic resource] /
|c edited by Alexander N. Gorban, Dirk Roose.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2011.
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|a XII, 356 p. 86 illus.
|b online resource.
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|a text
|b txt
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|b PDF
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|a Lecture Notes in Computational Science and Engineering,
|x 1439-7358 ;
|v 75
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|a 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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|a Mathematics.
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|a Chemical engineering.
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|a System theory.
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|a Computer mathematics.
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|a Physics.
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|a Mathematics.
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|a Computational Mathematics and Numerical Analysis.
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|a Systems Theory, Control.
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|a Theoretical, Mathematical and Computational Physics.
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|a Industrial Chemistry/Chemical Engineering.
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|a Gorban, Alexander N.
|e editor.
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|a Roose, Dirk.
|e editor.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783642149405
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|a Lecture Notes in Computational Science and Engineering,
|x 1439-7358 ;
|v 75
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|u http://dx.doi.org/10.1007/978-3-642-14941-2
|z Full Text via HEAL-Link
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|a ZDB-2-SMA
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|a Mathematics and Statistics (Springer-11649)
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