Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 115,54
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Aggiungi al carrelloCondizione: New. In.
Condizione: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
Da: Revaluation Books, Exeter, Regno Unito
EUR 152,36
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Aggiungi al carrelloPaperback. Condizione: Brand New. 293 pages. 9.25x6.10x0.70 inches. In Stock.
Da: preigu, Osnabrück, Germania
EUR 95,15
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Quantification of Uncertainty: Improving Efficiency and Technology | QUIET selected contributions | Marta D'Elia (u. a.) | Taschenbuch | Lecture Notes in Computational Science and Engineering | xi | Englisch | 2021 | Springer | EAN 9783030487232 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer International Publishing, 2021
ISBN 10: 3030487237 ISBN 13: 9783030487232
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 106,99
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores four guiding themes - reduced order modelling, high dimensional problems, efficient algorithms, and applications - by reviewing recent algorithmic and mathematical advances and the development of new research directions for uncertainty quantification in the context of partial differential equations with random inputs. Highlighting the most promising approaches for (near-) future improvements in the way uncertainty quantification problems in the partial differential equation setting are solved, and gathering contributions by leading international experts, the book's content will impact the scientific, engineering, financial, economic, environmental, social, and commercial sectors.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 86,24
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer International Publishing Aug 2021, 2021
ISBN 10: 3030487237 ISBN 13: 9783030487232
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 106,99
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores four guiding themes - reduced order modelling, high dimensional problems, efficient algorithms, and applications - by reviewing recent algorithmic and mathematical advances and the development of new research directions for uncertainty quantification in the context of partial differential equations with random inputs. Highlighting the most promising approaches for (near-) future improvements in the way uncertainty quantification problems in the partial differential equation setting are solved, and gathering contributions by leading international experts, the book's content will impact the scientific, engineering, financial, economic, environmental, social, and commercial sectors. 296 pp. Englisch.
Lingua: Inglese
Editore: Springer, Berlin|Springer International Publishing|Springer, 2021
ISBN 10: 3030487237 ISBN 13: 9783030487232
Da: moluna, Greven, Germania
EUR 92,27
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book explores four guiding themes - reduced order modelling, high dimensional problems, efficient algorithms, and applications - by reviewing recent algorithmic and mathematical advances and the development of new research directions for uncertainty qu.
Da: Majestic Books, Hounslow, Regno Unito
EUR 147,28
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 147,52
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Lingua: Inglese
Editore: Springer, Palgrave Macmillan Aug 2021, 2021
ISBN 10: 3030487237 ISBN 13: 9783030487232
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 106,99
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book explores four guiding themes ¿ reduced order modelling, high dimensional problems, efficient algorithms, and applications ¿ by reviewing recent algorithmic and mathematical advances and the development of new research directions for uncertainty quantification in the context of partial differential equations with random inputs. Highlighting the most promising approaches for (near-) future improvements in the way uncertainty quantification problems in the partial differential equation setting are solved, and gathering contributions by leading international experts, the book¿s content will impact the scientific, engineering, financial, economic, environmental, social, and commercial sectors.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 296 pp. Englisch.