Deflation-accelerated preconditioning of the Poisson-Neumann Schur problem on long domains with a high-order discontinuous element-based collocation method
Sumedh M. Joshi, Greg N. Thomsen, Peter J. Diamessis

TL;DR
This paper introduces a deflation-accelerated block-Jacobi preconditioning technique for solving high-order discontinuous collocation discretizations of the Poisson-Neumann Schur problem, improving convergence and efficiency on long, elongated domains.
Contribution
It develops a novel combination of deflation and block-Jacobi preconditioning tailored for high-order discontinuous methods, enhancing GMRES convergence independent of grid size and domain elongation.
Findings
Deflation reduces GMRES iterations by 50% compared to Schwarz preconditioning.
The method achieves convergence independent of grid size and domain aspect ratio.
Effective extension to 3D problems with Fourier discretization in the third dimension.
Abstract
A combination of block-Jacobi and deflation preconditioning is used to solve a high-order discontinuous collocation-based discretization of the Schur complement of the Poisson-Neumann system as arises in the operator splitting of the incompressible Navier-Stokes equations. The preconditioners and deflation vectors are chosen to mitigate the effects of ill-conditioning due to highly-elongated domains and to achieve GMRES convergence independent of the size of the grid. The ill-posedness of the Poisson-Neumann system manifests as an inconsistency of the Schur complement problem, but it is shown that this can be accounted for with appropriate projections out of the null space of the Schur matrix without affecting the accuracy of the solution. The combined deflation/block-Jacobi preconditioning is compared with two-level non-overlapping additive Schwarz preconditioning of the Schur problem,…
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