A flux-differencing formulation with Gauss nodes
Andr\'es Mateo-Gab\'in, Andr\'es M. Rueda-Ram\'irez, Eusebio Valero,, Gonzalo Rubio

TL;DR
This paper introduces a flux-differencing formulation with Gauss nodes for DGSEM, enabling entropy-stable stabilization methods and extending accuracy improvements from Gauss-Lobatto to Gauss nodes.
Contribution
It extends telescopic derivative operators for DGSEM with Gauss nodes and proves their equivalence to matrix formulations, facilitating advanced stabilization techniques.
Findings
Formulation is equivalent to the matrix counterpart.
Enables entropy stability with Gauss nodes.
Extends stabilization methods to Gauss nodes.
Abstract
In this work, we propose an extension of telescopic derivative operators for the DGSEM with Gauss nodes, and we prove that this formulation is equivalent to its usual matrix counterpart. Among other possible applications, this allows extending the stabilization methods already developed for Gauss-Lobatto nodes to Gauss nodes, also ensuring properties such as entropy stability while retaining their improved accuracy.
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Taxonomy
TopicsModel Reduction and Neural Networks · Advanced Thermodynamics and Statistical Mechanics · Numerical methods for differential equations
