Coping with Complexity: Model Reduction and Data Analysis Alexander N. Gorban (u. a.) Buch Lecture Notes in Computational Science and Engineering Englisch 2010 - hardcover
2010, ISBN: 9783642149405
[ED: Gebunden], [PU: Springer Berlin], This volume contains the extended version of selected talks given at the international research workshop "Coping with Complexity: Model Reduction an… More...
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2010, ISBN: 9783642149405
Editor: Gorban, Alexander N. Editor: Roose, Dirk, Springer, Hardcover, Auflage: 2011, 368 Seiten, Publiziert: 2010-10-25T00:00:01Z, Produktgruppe: Book, Hersteller-Nr.: 86 black & white i… More...
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2010, ISBN: 3642149405
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 3… More...
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Coping with Complexity: Model Reduction and Data Analysis Alexander N. Gorban (u. a.) Buch Lecture Notes in Computational Science and Engineering Englisch 2010 - hardcover
2010, ISBN: 9783642149405
[ED: Gebunden], [PU: Springer Berlin], This volume contains the extended version of selected talks given at the international research workshop "Coping with Complexity: Model Reduction an… More...
2010, ISBN: 9783642149405
Editor: Gorban, Alexander N. Editor: Roose, Dirk, Springer, Hardcover, Auflage: 2011, 368 Seiten, Publiziert: 2010-10-25T00:00:01Z, Produktgruppe: Book, Hersteller-Nr.: 86 black & white i… More...
2010
ISBN: 3642149405
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 3… More...
2010, ISBN: 3642149405
[EAN: 9783642149405], Gebraucht, wie neu, [PU: Springer], Unread book in perfect condition., Books
2010, ISBN: 3642149405
[EAN: 9783642149405], Neubuch, [PU: Springer], PRINT ON DEMAND Book; New; Fast Shipping from the UK., Books
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Details of the book - Coping with Complexity: Model Reduction and Data Analysis: 75 (Lecture Notes in Computational Science and Engineering, 75)
EAN (ISBN-13): 9783642149405
ISBN (ISBN-10): 3642149405
Hardcover
Publishing year: 2010
Publisher: Springer
348 Pages
Weight: 0,648 kg
Language: eng/Englisch
Book in our database since 2008-02-07T16:10:11+00:00 (London)
Detail page last modified on 2023-11-21T09:18:33+00:00 (London)
ISBN/EAN: 9783642149405
ISBN - alternate spelling:
3-642-14940-5, 978-3-642-14940-5
Alternate spelling and related search-keywords:
Book author: roo, roos, dirk, gorb
Book title: complex analysis, computational complexity, data science, buch alexander
Information from Publisher
Author: Alexander N. Gorban; Dirk Roose
Title: Lecture Notes in Computational Science and Engineering; Coping with Complexity: Model Reduction and Data Analysis
Publisher: Springer; Springer Berlin
356 Pages
Publishing year: 2010-10-25
Berlin; Heidelberg; DE
Printed / Made in
Language: English
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
XII, 356 p. 86 illus.
BB; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Numerische Mathematik; Verstehen; Mathematik; asymptotics; dimensionality reduction; invariant manifolds; kinetics; model reduction; singular perturbation; Computational Mathematics and Numerical Analysis; Systems Theory, Control; Theoretical, Mathematical and Computational Physics; Industrial Chemistry; Kybernetik und Systemtheorie; Mathematische Physik; Industrielle Chemie und Chemietechnologie; EA; BC
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.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.
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