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zbMATH Open
Article . 2019
Data sources: zbMATH Open
SIAM Journal on Scientific Computing
Article . 2019 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2018
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
DBLP
Article
Data sources: DBLP
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Efficient Entropy Stable Gauss Collocation Methods

Efficient entropy stable Gauss collocation methods
Authors: Jesse Chan; David C. Del Rey Fernández; Mark H. Carpenter;

Efficient Entropy Stable Gauss Collocation Methods

Abstract

The construction of high order entropy stable collocation schemes on quadrilateral and hexahedral elements has relied on the use of Gauss-Legendre-Lobatto collocation points and their equivalence with summation-by-parts (SBP) finite difference operators. In this work, we show how to efficiently generalize the construction of semi-discretely entropy stable schemes on tensor product elements to Gauss points and generalized SBP operators. Numerical experiments suggest that the use of Gauss points significantly improves accuracy on curved meshes.

Accepted to SISC

Related Organizations
Keywords

Compressible Navier-Stokes equations, high order, Numerical Analysis (math.NA), Euler equations, compressible Euler, nonlinear conservation laws, hyperbolic, Hyperbolic conservation laws, Finite difference methods for initial value and initial-boundary value problems involving PDEs, FOS: Mathematics, Finite element, Rayleigh-Ritz and Galerkin methods for initial value and initial-boundary value problems involving PDEs, Mathematics - Numerical Analysis, Stability and convergence of numerical methods for initial value and initial-boundary value problems involving PDEs, entropy, Spectral, collocation and related methods for initial value and initial-boundary value problems involving PDEs, discontinuous Galerkin

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
38
Top 10%
Top 10%
Top 10%
Green
bronze