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Quantification of Uncertainty: Improving Efficiency and Technology: QUIET selected contributions (Lecture Notes in Computational Science and Engineering, 137)
Book 106 of 111: Lecture Notes in Computational Science and EngineeringSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 96.15
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Quantification of Uncertainty: Improving Efficiency and Technology: QUIET selected contributions (Lecture Notes in Computational Science and Engineering)
Book 106 of 111: Lecture Notes in Computational Science and EngineeringSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 96.15
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Condition: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
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Paperback. Condition: Brand New. 293 pages. 9.25x6.10x0.70 inches. In Stock.
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Hardcover. Condition: Brand New. 293 pages. 9.25x6.10x0.87 inches. In Stock.
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Taschenbuch. Condition: 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.
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Quantification of Uncertainty: Improving Efficiency and Technology : QUIET selected contributions
Book 106 of 111: Lecture Notes in Computational Science and EngineeringLanguage: English
Published by Springer International Publishing, 2020
ISBN 10: 3030487202 ISBN 13: 9783030487201
Buch. Condition: 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.
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Quantification of Uncertainty: Improving Efficiency and Technology : QUIET selected contributions
Book 106 of 111: Lecture Notes in Computational Science and EngineeringLanguage: English
Published by Springer International Publishing, 2021
ISBN 10: 3030487237 ISBN 13: 9783030487232
Taschenbuch. Condition: 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.
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Condition: new. Questo è un articolo print on demand.
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Quantification of Uncertainty: Improving Efficiency and Technology
Book 106 of 111: Lecture Notes in Computational Science and EngineeringLanguage: English
Published by Springer International Publishing Aug 2021, 2021
ISBN 10: 3030487237 ISBN 13: 9783030487232
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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.
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Quantification of Uncertainty: Improving Efficiency and Technology
Book 106 of 111: Lecture Notes in Computational Science and EngineeringLanguage: English
Published by Springer International Publishing Jul 2020, 2020
ISBN 10: 3030487202 ISBN 13: 9783030487201
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: 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.
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Quantification of Uncertainty: Improving Efficiency and Technology
Book 106 of 111: Lecture Notes in Computational Science and EngineeringLanguage: English
Published by Springer, Berlin|Springer International Publishing|Springer, 2021
ISBN 10: 3030487237 ISBN 13: 9783030487232
Condition: 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.
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Quantification of Uncertainty: Improving Efficiency and Technology
Book 106 of 111: Lecture Notes in Computational Science and EngineeringLanguage: English
Published by Springer International Publishing, 2020
ISBN 10: 3030487202 ISBN 13: 9783030487201
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Offers 4 crucial modern topics and their synergistic interaction: model order reduction, efficient solvers, high dimensional approximation and applicationsIncludes contributions, upon invitation, from world expe.
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Quantification of Uncertainty: Improving Efficiency and Technology
Book 106 of 111: Lecture Notes in Computational Science and EngineeringLanguage: English
Published by Springer, Palgrave Macmillan Aug 2021, 2021
ISBN 10: 3030487237 ISBN 13: 9783030487232
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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.
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Quantification of Uncertainty: Improving Efficiency and Technology
Book 106 of 111: Lecture Notes in Computational Science and EngineeringLanguage: English
Published by Springer, Springer Jul 2020, 2020
ISBN 10: 3030487202 ISBN 13: 9783030487201
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: 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.
