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Uncertainty Quantification in Computational Fluid Dynamics
. Ed(S): Bijl, Hester; Lucor, Didier; Mishra, Siddharta; Schwab, Christoph
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Description for Uncertainty Quantification in Computational Fluid Dynamics
Paperback. Editor(s): Bijl, Hester; Lucor, Didier; Mishra, Siddharta; Schwab, Christoph. Series: Lecture Notes in Computational Science and Engineering. Num Pages: 344 pages, 73 black & white illustrations, 115 colour illustrations, biography. BIC Classification: PBKS; PDE; PHU; TBJ; TRP. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 19. Weight in Grams: 545.
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, ... Read more
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, ... Read more
Product Details
Format
Paperback
Publication date
2016
Publisher
Springer International Publishing AG Switzerland
Number of pages
344
Condition
New
Series
Lecture Notes in Computational Science and Engineering
Number of Pages
333
Place of Publication
Cham, Switzerland
ISBN
9783319346663
SKU
V9783319346663
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