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Coping with Complexity: Model Reduction and Data Analysis de Alexander N. Gorban

Coping with Complexity: Model Reduction and Data Analysis: Lecture Notes in Computational Science and Engineering, cartea 75

Editat de Alexander N. Gorban, Dirk Roose
en Limba Engleză Hardback – 25 oct 2010
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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Specificații

ISBN-13: 9783642149405
ISBN-10: 3642149405
Pagini: 368
Ilustrații: XII, 356 p. 86 illus.
Dimensiuni: 160 x 241 x 25 mm
Greutate: 0.72 kg
Ediția:2011
Editura: Springer
Colecția Lecture Notes in Computational Science and Engineering
Seria Lecture Notes in Computational Science and Engineering

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Textul de pe ultima copertă

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.

Caracteristici

Highly interdisciplinary and helps to circumvent the “language barriers” between different disciplines. Gives the reader an view on the state-of-the-art in both theoretical and practical issues in model reduction and data analysis of complex and multiscale mathematical models.