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This work considers high order discretizations for~the intrusive stochastic Galerkin and polynomial moment method. Applications to hyperbolic systems result in solutions that typically involve a large number of wave interactions that must be resolved numerically. In order to reduce numerical oscillations, analytical and numerical entropy indicators are used to perform CWENO-type reconstructions in characteristic variables, when and where non-smooth solutions arise. The proposed method is analyzed for random isentropic Euler equations. In particular, a semi-conservative scheme is employed for non-polynomial pressure in order to reduce the computational cost, while still ensuring correct shock speeds.
stochastic Galerkin, uncertainty quantification, Finite difference methods for initial value and initial-boundary value problems involving PDEs, hyperbolic partial differential equations, polynomial moment method, high order discretizations, Hyperbolic partial differential equations, uncertainty quantification, stochastic Galerkin method, polynomial moment method, high order discretizations, entropy indicator, Spectral, collocation and related methods for initial value and initial-boundary value problems involving PDEs
stochastic Galerkin, uncertainty quantification, Finite difference methods for initial value and initial-boundary value problems involving PDEs, hyperbolic partial differential equations, polynomial moment method, high order discretizations, Hyperbolic partial differential equations, uncertainty quantification, stochastic Galerkin method, polynomial moment method, high order discretizations, entropy indicator, Spectral, collocation and related methods for initial value and initial-boundary value problems involving PDEs
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