Optimal geometric multigrid preconditioners for HDG-P0 schemes for the reaction-diffusion equation and the generalized Stokes equations
Guosheng Fu, Wenzheng Kuang

TL;DR
This paper introduces optimal HDG-P0 schemes with numerical integration for reaction-diffusion and Stokes equations, providing error analysis and multigrid preconditioners based on equivalence with nonconforming discretizations, verified by numerical tests.
Contribution
It presents the first optimal a priori error analysis for HDG-P0 schemes with numerical integration and develops geometric multigrid preconditioners leveraging their equivalence to nonconforming methods.
Findings
Optimal error estimates for HDG-P0 schemes established.
Effective multigrid preconditioners demonstrated for the linear systems.
Numerical results confirm theoretical predictions.
Abstract
We present the lowest-order hybridizable discontinuous Galerkin schemes with numerical integration (quadrature), denoted as HDG-P0, for the reaction-diffusion equation and the generalized Stokes equations on conforming simplicial meshes in two- and three-dimensions. Here by lowest order, we mean that the (hybrid) finite element space for the global HDG facet degrees of freedom (DOFs) is the space of piecewise constants on the mesh skeleton. A discontinuous piecewise linear space is used for the approximation of the local primal unknowns. We give the optimal a priori error analysis of the proposed {\sf HDG-P0} schemes, which hasn't appeared in the literature yet for HDG discretizations as far as numerical integration is concerned. Moreover, we propose optimal geometric multigrid preconditioners for the statically condensed HDG-P0 linear systems on conforming simplicial meshes. In both…
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Taxonomy
TopicsAdvanced Numerical Methods in Computational Mathematics · Computational Fluid Dynamics and Aerodynamics · Numerical methods for differential equations
