Uncertainty Quantification in Computational Fluid Dynamics - Couverture rigide

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9783319008844: Uncertainty Quantification in Computational Fluid Dynamics

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ISBN 10 : 3319008846 ISBN 13 : 9783319008844

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Timothy Barth: Non-Intrusive Uncertainty Propagation with Error Bounds for Conservation Laws Containing Discontinuities.- Philip Beran and Bret Stanford: Uncertainty Quantification in Aeroelasticity.- Bruno Despr�s, Ga�l Po�tte and Didier Lucor: Robust uncertainty propagation in systems of conservation laws with the entropy closure method.- Richard P. Dwight, Jeroen A.S. Witteveen and Hester Bijl: Adaptive Uncertainty Quantification for Computational Fluid Dynamics.- Chris Lacor, Cristian Dinescu, Charles Hirsch and Sergey Smirnov: Implementation of intrusive Polynomial Chaos in CFD codes and application to 3D Navier-Stokes.- Siddhartha Mishra, Christoph Schwab and Jonas Sukys: Multi-level Monte Carlo Finite Volume Methods for Uncertainty Quantification in nonlinear systems of balance laws.- Jeroen A.S. Witteveen and Gianluca Iaccarino: Essentially Non-Oscillatory Stencil Selection and Subcell Resolution in Uncertainty Quantification.

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�diteur: Springer International Publishing AG
Date d'�dition: 2013
Langue: anglais
ISBN 10: 3319008846
ISBN 13: 9783319008844
Reliure: Reli�
Nombre de pages: 344
�diteur: Bijl Hester, Lucor Didier, Mishra Siddhartha, Schwab Christoph
Coordonn�es du fabricant: Springer Nature Customer Service Center GmbH
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Uncertainty Quantification in Computational Fluid Dynamics (Lecture Notes in Computational Science and Engineering, 92) [Hardcover] Bijl, Hester; Lucor, Didier; Mishra, Siddhartha and Schwab, Christoph (eng)

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Uncertainty Quantification in Computational Fluid Dynamics

Hester Bijl

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Buch. Etat : 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. N� de r�f. du vendeur 9783319008844

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Uncertainty Quantification in Computational Fluid Dynamics

Bijl, Hester|Lucor, Didier|Mishra, Siddharta|Schwab, Christoph

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Etat : 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. N� de r�f. du vendeur 4495982

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Uncertainty Quantification in Computational Fluid Dynamics

Hester Bijl (u. a.)

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Uncertainty Quantification in Computational Fluid Dynamics

Hester Bijl

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Buch. Etat : 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. N� de r�f. du vendeur 9783319008844

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Uncertainty Quantification in Computational Fluid Dynamics

Bijl, Hester (Editor)/ Lucor, Didier (Editor)/ Mishra, Siddharta (Editor)/ Schwab, Christoph (Editor)

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Uncertainty Quantification in Computational Fluid Dynamics

Hester Bijl

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Buch. Etat : 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. N� de r�f. du vendeur 9783319008844

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