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Intrusive methods in uncertainty quantification and their connection to kinetic theory
6 references·1 citing·20 second hop
Intrusive methods in uncertainty quantification and their connection to kinetic theory (2018)Intrusive methods in uncertainty quantifi…A hyperbolicity-preserving stochastic Galerkin approximation for uncertain hyperbolic systems of equations (2018)A hyperbolicity-preserving st…Robust Uncertainty Propagation in Systems of Conservation Laws with the Entropy Closure Method (2013)Robust Uncertainty Propagatio…Uncertainty quantification for systems of conservation laws (2008)Uncertainty quantification fo…Galerkin Method for Wave Equations with Uncertain Coefficients (2008)Galerkin Method for Wave Equa…Modeling uncertainty in steady state diffusion problems via generalized polynomial chaos (2002)Modeling uncertainty in stead…Stochastic Finite Elements: A Spectral Approach (1991)Stochastic Finite Elements: A…Spectral convergence of the generalized Polynomial Chaos reduced model obtained from the uncertain linear Boltzmann equation (2020)Spectral convergence of the g…The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Multi-level Monte Carlo Finite Element method for elliptic PDEs with stochastic coefficients (2011)Particle Based gPC Methods for Mean-Field Models of Swarming with Uncertainty (2018)Filtered stochastic Galerkin methods for hyperbolic equations (2019)Multi-scale control variate methods for uncertainty quantification in kinetic equations (2019)Galerkin methods for linear and nonlinear elliptic stochastic partial differential equations (2004)Intrusive Galerkin methods with upwinding for uncertain nonlinear hyperbolic systems (2010)Multi-level Monte Carlo finite volume methods for nonlinear systems of conservation laws in multi-dimensions (2012)Sparse tensor multi-level Monte Carlo finite volume methods for hyperbolic conservation laws with random initial data (2012)Modeling uncertainty in flow simulations via generalized polynomial chaos (2003)Stochastic spectral methods for efficient Bayesian solution of inverse problems (2006)An Anisotropic Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data (2008)Stochastic Modeling of Flow-Structure Interactions Using Generalized Polynomial Chaos (2001)A gPC-intrusive Monte-Carlo scheme for the resolution of the uncertain linear Boltzmann equation (2019)A hyperbolicity-preserving discontinuous stochastic Galerkin scheme for uncertain hyperbolic systems of equations (2019)A Review on Global Sensitivity Analysis Methods (2015)Global sensitivity analysis using polynomial chaos expansions (2007)AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)Parametric uncertainty analysis of pulse wave propagation in a model of a human arterial network (2007)A stochastic collocation method for the second order wave equation with a discontinuous random speed (2012)
this work references cited by second hop

References

  • 1991Stochastic Finite Elements: A Spectral Approach5,753 cited
  • 2002Modeling uncertainty in steady state diffusion problems via generalized polynomial chaos552 cited
  • 2008Uncertainty quantification for systems of conservation laws177 cited
  • 2008Galerkin Method for Wave Equations with Uncertain Coefficients112 cited
  • 2013Robust Uncertainty Propagation in Systems of Conservation Laws with the Entropy Closure Method66 cited
  • 2018A hyperbolicity-preserving stochastic Galerkin approximation for uncertain hyperbolic systems of equations41 cited

Cited by

  • 2020Spectral convergence of the generalized Polynomial Chaos reduced model obtained from the uncertain linear Boltzmann equation11 cited

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