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Uncertainty Quantification in Computational Fluid Dynamics by Christoph Schwab, Didier Lucor, Hester Bijl, Siddhartha Mishra (Hardcover, 2013)

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About this product

Product Information

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.

Product Identifiers

Publisher
Springer International Publishing Ag
ISBN-13
9783319008844
eBay Product ID (ePID)
188977043

Product Key Features

Author
Christoph Schwab, Didier Lucor, Hester Bijl, Siddhartha Mishra
Publication Name
Uncertainty Quantification in Computational Fluid Dynamics
Format
Hardcover
Language
English
Subject
Engineering & Technology, Mathematics, Physics
Publication Year
2013
Type
Textbook
Number of Pages
333 Pages

Dimensions

Item Height
235mm
Item Width
155mm
Volume
92
Item Weight
6565g

Additional Product Features

Series Title
Lecture Notes in Computational Science and Engineering
Country/Region of Manufacture
Switzerland
Editor
Christoph Schwab, Didier Lucor, Siddhartha Mishra, Hester Bijl

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