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Intrusive methods in uncertainty quantification and their connection to kinetic theory · Study

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ArticleIntrusive methods in uncertainty quantification and their connection to kinetic theory

Jonas Kusch2018

Article2018

Intrusive methods in uncertainty quantification and their connection to kinetic theory

Jonas Kusch · Martin Frank

20 citations·0/0 files stored·International Journal of Advances in Engineering Sciences and Applied Mathematics

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Probabilistic and Robust Engineering Design Computational Fluid Dynamics and Aerodynamics Model Reduction and Neural Networks

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References

1991Stochastic Finite Elements: A Spectral Approach 2002Modeling uncertainty in steady state diffusion problems via generalized polynomial chaos 2008Uncertainty quantification for systems of conservation laws 2008Galerkin Method for Wave Equations with Uncertain Coefficients 2013Robust Uncertainty Propagation in Systems of Conservation Laws with the Entropy Closure Method 2018A hyperbolicity-preserving stochastic Galerkin approximation for uncertain hyperbolic systems of equations

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2020Spectral convergence of the generalized Polynomial Chaos reduced model obtained from the uncertain linear Boltzmann equation

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Year2018

Typearticle

Published2018-03-01

VenueInternational Journal of Advances in Engineering Sciences and Applied Mathematics

ISSN-L0975-0770

Languageen

Citations20

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1007/s12572-018-0211-3

openalex_workW2807218220

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