Analysis of Multipatch Discontinuous Galerkin IgA Approximations to Elliptic Boundary Value Problems
Ulrich Langer, Ioannis Toulopoulos

TL;DR
This paper analyzes the approximation properties of multi-patch dG-IgA methods for elliptic boundary value problems, demonstrating optimal convergence rates despite discontinuities across patch interfaces.
Contribution
It provides a rigorous a priori error analysis for multi-patch dG-IgA methods applied to elliptic problems with discontinuous coefficients in 2D and 3D.
Findings
Optimal convergence rates achieved in dG-norm
Discontinuous solutions across patch interfaces handled effectively
Error estimates valid for solutions in certain Sobolev spaces
Abstract
In this work, we study the approximation properties of multi-patch dG-IgA methods, that apply the multipatch Isogeometric Analysis (IgA) discretization concept and the discontinuous Galerkin (dG) technique on the interfaces between the patches, for solving linear diffusion problems with diffusion coefficients that may be discontinuous across the patch interfaces. The computational domain is divided into non-overlapping sub-domains, called patches in IgA, where -splines, or NURBS finite dimensional approximations spaces are constructed. The solution of the problem is approximated in every sub-domain without imposing any matching grid conditions and without any continuity requirements for the discrete solution across the interfaces. Numerical fluxes with interior penalty jump terms are applied in order to treat the discontinuities of the discrete solution on the interfaces. We provide…
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 Analysis Techniques · Advanced Numerical Methods in Computational Mathematics · Numerical methods in engineering
