On $p$-robust saturation on quadrangulations
Jan Westerdiep

TL;DR
This paper investigates how increasing local polynomial degrees in $hp$-adaptive finite element methods on quadrangulations can ensure error contraction, reducing the problem to saturation issues on reference squares with supporting numerical evidence.
Contribution
It reduces the $p$-robust saturation problem to a finite set of reference square problems and provides numerical evidence for their solutions.
Findings
Numerical evidence supports the proposed saturation solutions.
Reduction of the problem to reference squares simplifies analysis.
Insights into $p$-robust error contraction in finite element methods.
Abstract
For the Poisson problem in two dimensions, posed on a domain partitioned into axis-aligned rectangles with up to one hanging node per edge, we envision an efficient error reduction step in an instance-optimal -adaptive finite element method. Central to this is the problem: Which increase in local polynomial degree ensures -robust contraction of the error in energy norm? We reduce this problem to a small number of saturation problems on the reference square, and provide strong numerical evidence for their solution.
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.
