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Uncertainty Quantification in Computational Fluid Dynamics (Lecture Notes in Computational Science and Engineering, 92)
Book 68 of 111: Lecture Notes in Computational Science and EngineeringSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 96.88
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Uncertainty Quantification in Computational Fluid Dynamics (Lecture Notes in Computational Science and Engineering, 92)
Book 68 of 111: Lecture Notes in Computational Science and EngineeringSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 96.88
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Hardcover. Condition: Brand New. 2013 edition. 350 pages. 9.25x6.25x1.00 inches. In Stock.
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Taschenbuch. Condition: Neu. Uncertainty Quantification in Computational Fluid Dynamics | Hester Bijl (u. a.) | Taschenbuch | Lecture Notes in Computational Science and Engineering | xi | Englisch | 2016 | Springer | EAN 9783319346663 | 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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Uncertainty Quantification in Computational Fluid Dynamics
Book 68 of 111: Lecture Notes in Computational Science and EngineeringLanguage: English
Published by Springer, Palgrave Macmillan, 2013
ISBN 10: 3319008846 ISBN 13: 9783319008844
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Fluid flows are characterized by uncertain inputs such as random initial data, material and flux coefficients, and boundary conditions. The current volume addresses the pertinent issue of efficiently computing the flow uncertainty, given this initial randomness. It collects seven original review articles that cover improved versions of the Monte Carlo method (the so-called multi-level Monte Carlo method (MLMC)), moment-based stochastic Galerkin methods and modified versions of the stochastic collocation methods that use adaptive stencil selection of the ENO-WENO type in both physical and stochastic space. The methods are also complemented by concrete applications such as flows around aerofoils and rockets, problems of aeroelasticity (fluid-structure interactions), and shallow water flows for propagating water waves. The wealth of numerical examples provide evidence on the suitability of each proposed method as well as comparisons of different approaches.
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Uncertainty Quantification in Computational Fluid Dynamics
Book 68 of 111: Lecture Notes in Computational Science and EngineeringLanguage: English
Published by Springer International Publishing, 2016
ISBN 10: 3319346660 ISBN 13: 9783319346663
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Fluid flows are characterized by uncertain inputs such as random initial data, material and flux coefficients, and boundary conditions. The current volume addresses the pertinent issue of efficiently computing the flow uncertainty, given this initial randomness. It collects seven original review articles that cover improved versions of the Monte Carlo method (the so-called multi-level Monte Carlo method (MLMC)), moment-based stochastic Galerkin methods and modified versions of the stochastic collocation methods that use adaptive stencil selection of the ENO-WENO type in both physical and stochastic space. The methods are also complemented by concrete applications such as flows around aerofoils and rockets, problems of aeroelasticity (fluid-structure interactions), and shallow water flows for propagating water waves. The wealth of numerical examples provide evidence on the suitability of each proposed method as well as comparisons of different approaches.
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Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Condition: As New. Unread book in perfect condition.
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Paperback. Condition: Brand New. reprint edition. 356 pages. 9.30x6.20x0.84 inches. In Stock.
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Paperback. Condition: Like New. Like New. book.
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Condition: As New. Unread book in perfect condition.
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Condition: new. Questo è un articolo print on demand.
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Condition: new. Questo è un articolo print on demand.
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Uncertainty Quantification in Computational Fluid Dynamics
Book 68 of 111: Lecture Notes in Computational Science and EngineeringLanguage: English
Published by Springer International Publishing Aug 2016, 2016
ISBN 10: 3319346660 ISBN 13: 9783319346663
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 -Fluid flows are characterized by uncertain inputs such as random initial data, material and flux coefficients, and boundary conditions. The current volume addresses the pertinent issue of efficiently computing the flow uncertainty, given this initial randomness. It collects seven original review articles that cover improved versions of the Monte Carlo method (the so-called multi-level Monte Carlo method (MLMC)), moment-based stochastic Galerkin methods and modified versions of the stochastic collocation methods that use adaptive stencil selection of the ENO-WENO type in both physical and stochastic space. The methods are also complemented by concrete applications such as flows around aerofoils and rockets, problems of aeroelasticity (fluid-structure interactions), and shallow water flows for propagating water waves. The wealth of numerical examples provide evidence on the suitability of each proposed method as well as comparisons of different approaches. 356 pp. Englisch.
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Uncertainty Quantification in Computational Fluid Dynamics
Book 68 of 111: Lecture Notes in Computational Science and EngineeringLanguage: English
Published by Berlin Springer International Publishing Springer Okt 2013, 2013
ISBN 10: 3319008846 ISBN 13: 9783319008844
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 -Fluid flows are characterized by uncertain inputs such as random initial data, material and flux coefficients, and boundary conditions. The current volume addresses the pertinent issue of efficiently computing the flow uncertainty, given this initial randomness. It collects seven original review articles that cover improved versions of the Monte Carlo method (the so-called multi-level Monte Carlo method (MLMC)), moment-based stochastic Galerkin methods and modified versions of the stochastic collocation methods that use adaptive stencil selection of the ENO-WENO type in both physical and stochastic space. The methods are also complemented by concrete applications such as flows around aerofoils and rockets, problems of aeroelasticity (fluid-structure interactions), and shallow water flows for propagating water waves. The wealth of numerical examples provide evidence on the suitability of each proposed method as well as comparisons of different approaches. 333 pp. Englisch.
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Uncertainty Quantification in Computational Fluid Dynamics
Book 68 of 111: Lecture Notes in Computational Science and EngineeringLanguage: English
Published by Springer International Publishing, 2013
ISBN 10: 3319008846 ISBN 13: 9783319008844
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presentation of the highly relevant issue of UQ in CFDA broad spectrum of methods to efficiently compute uncertaintyLarge number of numerical examples as verification of the proposed methods and their possible comparisonFluid flows are ch.
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Uncertainty Quantification in Computational Fluid Dynamics
Book 68 of 111: Lecture Notes in Computational Science and EngineeringLanguage: English
Published by Springer International Publishing, 2016
ISBN 10: 3319346660 ISBN 13: 9783319346663
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presentation of the highly relevant issue of UQ in CFDA broad spectrum of methods to efficiently compute uncertaintyLarge number of numerical examples as verification of the proposed methods and their possible comparisonFluid flows are ch.
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Condition: New. Print on Demand pp. 356.
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Condition: New. PRINT ON DEMAND pp. 356.
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Uncertainty Quantification in Computational Fluid Dynamics
Book 68 of 111: Lecture Notes in Computational Science and EngineeringLanguage: English
Published by Springer, Palgrave Macmillan Okt 2013, 2013
ISBN 10: 3319008846 ISBN 13: 9783319008844
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 -Fluid flows are characterized by uncertain inputs such as random initial data, material and flux coefficients, and boundary conditions. The current volume addresses the pertinent issue of efficiently computing the flow uncertainty, given this initial randomness. It collects seven original review articles that cover improved versions of the Monte Carlo method (the so-called multi-level Monte Carlo method (MLMC)), moment-based stochastic Galerkin methods and modified versions of the stochastic collocation methods that use adaptive stencil selection of the ENO-WENO type in both physical and stochastic space. The methods are also complemented by concrete applications such as flows around aerofoils and rockets, problems of aeroelasticity (fluid-structure interactions), and shallow water flows for propagating water waves. The wealth of numerical examples provide evidence on the suitability of each proposed method as well as comparisons of different approaches.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 356 pp. Englisch.
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Uncertainty Quantification in Computational Fluid Dynamics
Book 68 of 111: Lecture Notes in Computational Science and EngineeringLanguage: English
Published by Springer, Palgrave Macmillan Aug 2016, 2016
ISBN 10: 3319346660 ISBN 13: 9783319346663
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 -Fluid flows are characterized by uncertain inputs such as random initial data, material and flux coefficients, and boundary conditions. The current volume addresses the pertinent issue of efficiently computing the flow uncertainty, given this initial randomness. It collects seven original review articles that cover improved versions of the Monte Carlo method (the so-called multi-level Monte Carlo method (MLMC)), moment-based stochastic Galerkin methods and modified versions of the stochastic collocation methods that use adaptive stencil selection of the ENO-WENO type in both physical and stochastic space. The methods are also complemented by concrete applications such as flows around aerofoils and rockets, problems of aeroelasticity (fluid-structure interactions), and shallow water flows for propagating water waves. The wealth of numerical examples provide evidence on the suitability of each proposed method as well as comparisons of different approaches.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 356 pp. Englisch.
