Bound preserving {P}oint-{A}verage-{M}oment {P}olynomi{A}l-interpreted ({PAMPA}) on polygonal meshes
R\'emi Abgrall, Yongle Liu, Walter Boscheri

TL;DR
This paper introduces a new discretisation method called PAMPA, inspired by Roe's Active Flux scheme, which preserves bounds on scalar and Euler equations solutions on polygonal meshes, demonstrating improved accuracy and robustness.
Contribution
The paper presents a novel bound-preserving discretisation strategy for scalar and Euler equations on polygonal meshes, inspired by Roe's Active Flux scheme, with proven stability and improved performance.
Findings
Method is provably bound preserving for scalar and Euler equations.
Demonstrates high-quality results and improvements over previous methods.
Applicable to polygonal meshes, enhancing flexibility and accuracy.
Abstract
We present a novel discretisation strategy, strongly inspired from Roe's Active Flux scheme. It can use polygonal meshes and is provably bound preserving for scalar problems and the Euler equations. Several cases demonstrates the quality of the method, and improvements with respect to previous work of the authors. This paper is a summary of \cite{BPPampa}.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComputational Geometry and Mesh Generation
