Coping with Complexity: Model Reduction and Data Analysis Alexander N. Gorban (u. a.) Buch Lecture Notes in Computational Science and Engineering Englisch 2010 - encuadernado, tapa blanda
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… Más…
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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… Más…
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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… Más…
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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 - encuadernado, tapa blanda
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… Más…
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… Más…
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… Más…
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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Detalles del libro - 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
Tapa dura
Año de publicación: 2010
Editorial: Springer
348 Páginas
Peso: 0,648 kg
Idioma: eng/Englisch
Libro en la base de datos desde 2008-02-07T17:10:11+01:00 (Madrid)
Página de detalles modificada por última vez el 2023-11-21T10:18:33+01:00 (Madrid)
ISBN/EAN: 9783642149405
ISBN - escritura alterna:
3-642-14940-5, 978-3-642-14940-5
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: roo, roos, dirk, gorb
Título del libro: complex analysis, computational complexity, data science, buch alexander
Datos del la editorial
Autor: Alexander N. Gorban; Dirk Roose
Título: Lecture Notes in Computational Science and Engineering; Coping with Complexity: Model Reduction and Data Analysis
Editorial: Springer; Springer Berlin
356 Páginas
Año de publicación: 2010-10-25
Berlin; Heidelberg; DE
Impreso en
Idioma: Inglés
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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