High Order SFV and Mixed SDG/FV Methods for the Uncertainty Quantification in Multidimensional Conservation Laws

DOI10.1007/978-3-319-05455-1_7zbMath1421.76164OpenAlexW326900138MaRDI QIDQ2946178

Siddhartha Mishra, Christoph Schwab, Svetlana Tokareva

Publication date: 16 September 2015

Published in: Lecture Notes in Computational Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-05455-1_7

zbMATH Keywords

random fluxKarhunen-Loève expansion

Mathematics Subject Classification ID

Finite volume methods applied to problems in fluid mechanics (76M12) Stochastic analysis applied to problems in fluid mechanics (76M35) Gas dynamics (general theory) (76N15) Probabilistic methods, particle methods, etc. for initial value and initial-boundary value problems involving PDEs (65M75)

Related Items (6)

Weighted essentially non-oscillatory stochastic Galerkin approximation for hyperbolic conservation laws ⋮ Uncertainty quantification methodology for hyperbolic systems with application to blood flow in arteries ⋮ A third order hierarchical basis WENO interpolation for sparse grids with application to conservation laws with uncertain data ⋮ Entropies and Symmetrization of Hyperbolic Stochastic Galerkin Formulations ⋮ Model order reduction for parametrized nonlinear hyperbolic problems as an application to uncertainty quantification ⋮ Entropy–Based Methods for Uncertainty Quantification of Hyperbolic Conservation Laws

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