A posteriori error estimates for discontinuous Galerkin methods on polygonal and polyhedral meshes
Andrea Cangiani, Zhaonan Dong, Emmanuil H. Georgoulis

TL;DR
This paper develops a new residual-based a posteriori error estimate for interior penalty discontinuous Galerkin methods applicable to general polygonal and polyhedral meshes, including irregular and hanging-node configurations.
Contribution
It introduces a novel error analysis that accommodates highly irregular meshes and small faces, extending existing bounds to more general mesh geometries.
Findings
The new error bounds are effective for meshes with arbitrary polygonal/polyhedral shapes.
The analysis includes cases with many small faces and irregular hanging nodes.
Numerical experiments confirm the practical usefulness of the error estimators.
Abstract
We present a new residual-type energy-norm a posteriori error analysis for interior penalty discontinuous Galerkin (dG) methods for linear elliptic problems. The new error bounds are also applicable to dG methods on meshes consisting of elements with very general polygonal/polyhedral shapes. The case of simplicial and/or box-type elements is included in the analysis as a special case. In particular, for the upper bounds, an arbitrary number of very small faces are allowed on each polygonal/polyhedral element, as long as certain mild shape regularity assumptions are satisfied. As a corollary, the present analysis generalizes known a posteriori error bounds for dG methods, allowing in particular for meshes with an arbitrary number of irregular hanging nodes per element. The proof hinges on a new conforming recovery strategy in conjunction with a Helmholtz decomposition formula. The…
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
TopicsAdvanced Numerical Methods in Computational Mathematics · Numerical methods for differential equations · Electromagnetic Simulation and Numerical Methods
