arXiv · 2311.06926
Matrix-free polynomial preconditioning of saddle point systems using the hyper-power method
Abstract
This study explores the integration of the hyper-power sequence, a method commonly employed for approximating the Moore-Penrose inverse, to enhance the effectiveness of an existing preconditioner. The approach is closely related to polynomial preconditioning based on Neumann series. We commence with a state-of-the-art matrix-free preconditioner designed for the saddle point system derived from isogeometric structure-preserving discretization of the Stokes equations. Our results demonstrate that incorporating multiple iterations of the hyper-power method enhances the effectiveness of the preconditioner, leading to a substantial reduction in both iteration counts and overall solution time for simulating Stokes flow within a 3D lid-driven cavity. Through a comprehensive analysis, we assess the stability, accuracy, and numerical cost associated with the proposed scheme.
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Michał Łukasz Mika, Marco ten Eikelder, Dominik Schillinger, René Rinke Hiemstra. 2023-11-12. Matrix-free polynomial preconditioning of saddle point systems using the hyper-power method. https://arxiv.org/abs/2311.06926
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