Haar-type stochastic Galerkin formulations for hyperbolic systems with Lipschitz continuous flux function

Fuente: arXiv
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Autori principali: Gerster, Stephan, Sikstel, Aleksey, Visconti, Giuseppe
Natura: Preprint
Pubblicazione: 2022
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author Gerster, Stephan
Sikstel, Aleksey
Visconti, Giuseppe
author_facet Gerster, Stephan
Sikstel, Aleksey
Visconti, Giuseppe
contents This work is devoted to the Galerkin projection of highly nonlinear random quantities. The dependency on a random input is described by Haar-type wavelet systems. The classical Haar sequence has been used by Pettersson, Iaccarino, Nordstroem (2014) for a hyperbolic stochastic Galerkin formulation of the one-dimensional Euler equations. This work generalizes their approach to several multi-dimensional systems with Lipschitz continuous and non-polynomial flux functions. Theoretical results are illustrated numerically by a genuinely multidimensional CWENO reconstruction.
format Preprint
id arxiv_https___arxiv_org_abs_2203_11718
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Haar-type stochastic Galerkin formulations for hyperbolic systems with Lipschitz continuous flux function
Gerster, Stephan
Sikstel, Aleksey
Visconti, Giuseppe
Numerical Analysis
Probability
This work is devoted to the Galerkin projection of highly nonlinear random quantities. The dependency on a random input is described by Haar-type wavelet systems. The classical Haar sequence has been used by Pettersson, Iaccarino, Nordstroem (2014) for a hyperbolic stochastic Galerkin formulation of the one-dimensional Euler equations. This work generalizes their approach to several multi-dimensional systems with Lipschitz continuous and non-polynomial flux functions. Theoretical results are illustrated numerically by a genuinely multidimensional CWENO reconstruction.
title Haar-type stochastic Galerkin formulations for hyperbolic systems with Lipschitz continuous flux function
topic Numerical Analysis
Probability
url https://arxiv.org/abs/2203.11718