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Uncertainty Quantification in Computational Fluid Dynamics
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Uncertainty Quantification in Computational Fluid Dynamics Hardcover - 2013

by Hester Bijl (Editor); Didier Lucor (Editor); Siddhartha Mishra (Editor)


From the rear cover

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.

Details

  • Title Uncertainty Quantification in Computational Fluid Dynamics
  • Author Hester Bijl (Editor); Didier Lucor (Editor); Siddhartha Mishra (Editor)
  • Binding Hardcover
  • Pages 333
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Date 2013-10-07
  • Illustrated Yes
  • Features Illustrated
  • ISBN 9783319008844 / 3319008846
  • Weight 1.4 lbs (0.64 kg)
  • Dimensions 9.2 x 6.2 x 0.9 in (23.37 x 15.75 x 2.29 cm)
  • Dewey Decimal Code 004
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Uncertainty Quantification in Computational Fluid Dynamics
Stock Photo: Cover May Be Different

Uncertainty Quantification in Computational Fluid Dynamics

by Bijl, Hester; Lucor, Didier; Mishra, Siddhartha; Schwab, Christoph

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Uncertainty Quantification in Computational Fluid Dynamics
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Uncertainty Quantification in Computational Fluid Dynamics

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

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Uncertainty Quantification in Computational Fluid Dynamics
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Uncertainty Quantification in Computational Fluid Dynamics

by Hester Bijl

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Hardback. New. 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.
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Uncertainty Quantification in Computational Fluid Dynamics
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Uncertainty Quantification in Computational Fluid Dynamics

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