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Spectral Methods for Uncertainty Quantification
Le Maitre, Olivier; Knio, Omar M.
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Description for Spectral Methods for Uncertainty Quantification
Hardback. This book presents applications of spectral methods to problems of uncertainty propagation and quantification in model-based computations, focusing on the computational and algorithmic features of these methods most useful in dealing with models based on partial differential equations, in particular models arising in simulations of fluid flows. Series: Scientific Computation. Num Pages: 552 pages, biography. BIC Classification: PDE; PHDF; PHU. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 30. Weight in Grams: 948.
This book deals with the application of spectral methods to problems of uncertainty propagation and quanti?cation in model-based computations. It speci?cally focuses on computational and algorithmic features of these methods which are most useful in dealing with models based on partial differential equations, with special att- tion to models arising in simulations of ?uid ?ows. Implementations are illustrated through applications to elementary problems, as well as more elaborate examples selected from the authors’ interests in incompressible vortex-dominated ?ows and compressible ?ows at low Mach numbers. Spectral stochastic methods are probabilistic in nature, and are consequently rooted in the rich mathematical ... Read more
This book deals with the application of spectral methods to problems of uncertainty propagation and quanti?cation in model-based computations. It speci?cally focuses on computational and algorithmic features of these methods which are most useful in dealing with models based on partial differential equations, with special att- tion to models arising in simulations of ?uid ?ows. Implementations are illustrated through applications to elementary problems, as well as more elaborate examples selected from the authors’ interests in incompressible vortex-dominated ?ows and compressible ?ows at low Mach numbers. Spectral stochastic methods are probabilistic in nature, and are consequently rooted in the rich mathematical ... Read more
Product Details
Format
Hardback
Publication date
2010
Publisher
Springer Netherlands
Number of pages
552
Condition
New
Series
Scientific Computation
Number of Pages
536
Place of Publication
Dordrecht, Netherlands
ISBN
9789048135196
SKU
V9789048135196
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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