Auto-Stabilized Weak Galerkin Finite Element Methods for Biharmonic Equations on Polytopal Meshes without Convexity Assumptions
Chunmei Wang

TL;DR
This paper presents a new auto-stabilized weak Galerkin finite element method for biharmonic equations that works on general polytopal meshes without convexity restrictions, improving flexibility and applicability.
Contribution
It introduces an auto-stabilized WG method that handles non-convex meshes, uses bubble functions without restrictive conditions, and supports flexible polynomial degrees in any dimension.
Findings
Achieves optimal error estimates in discrete $H^2$ norm for $k extgreater=2$
Achieves optimal $L^2$ error estimates for $k extgreater 2$
Provides sub-optimal $L^2$ error estimate for $k=2$
Abstract
This paper introduces an auto-stabilized weak Galerkin (WG) finite element method for biharmonic equations with built-in stabilizers. Unlike existing stabilizer-free WG methods limited to convex elements in finite element partitions, our approach accommodates both convex and non-convex polytopal meshes, offering enhanced versatility. It employs bubble functions without the restrictive conditions required by existing stabilizer-free WG methods, thereby simplifying implementation and broadening application to various partial differential equations (PDEs). Additionally, our method supports flexible polynomial degrees in discretization and is applicable in any dimension, unlike existing stabilizer-free WG methods that are confined to specific polynomial degree combinations and 2D or 3D settings. We demonstrate optimal order error estimates for WG approximations in both a discrete norm…
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 · Differential Equations and Numerical Methods · Advanced Mathematical Modeling in Engineering
