Authors: Lohmann, Christoph
Turek, Stefan
Title: Augmented Lagrangian acceleration of global-in-time Pressure Schur complement solvers for incompressible Oseen equations
Language (ISO): en
Abstract: This work is focused on an accelerated global-in-time solution strategy for the Oseen equations, which highly exploits the augmented Lagrangian methodology to improve the convergence behavior of the Schur complement iteration. The main idea of the solution strategy is to block the individual linear systems of equations at each time step into a single all-at-once saddle point problem. By elimination of all velocity unknowns, the resulting implicitly defined equation can then be solved using a global-in-time pressure Schur complement (PSC) iteration. To accelerate the convergence behavior of this iterative scheme, the augmented Lagrangian approach is exploited by modifying the momentum equation for all time steps in a strongly consistent manner. While the introduced discrete grad-div stabilization does not modify the solution of the discretized Oseen equations, the quality of customized PSC preconditioners drastically improves and, hence, guarantees a rapid convergence. This strategy comes at the cost that the involved auxiliary problem for the velocity field becomes ill conditioned so that standard iterative solution strategies are no longer efficient. Therefore, a highly specialized multigrid solver based on modified intergrid transfer operators and an additive block preconditioner is extended to solution of the all-at-once problem. The potential of the proposed overall solution strategy is discussed in several numerical studies as they occur in commonly used linearization techniques for the incompressible Navier-Stokes equations.
Subject Headings: Oseen equations
waveform relaxation
augmented Lagrangian
pressure Schur complement
parallel-in-time
URI: http://hdl.handle.net/2003/42283
http://dx.doi.org/10.17877/DE290R-24119
Issue Date: 2023-12
Appears in Collections:Ergebnisberichte des Instituts für Angewandte Mathematik

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