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Recycling augmented Lagrangian preconditioner in an incompressible fluid solver

2020/12/31 by Maxim Olshanskii, Alexander Zhiliakov · 1 citation
Mathematics · Computer Science · #math.NA #cs.NA

paper · pdf · doi:10.1002/nla.2415

15 pages, 5 figures, 3 tables

arxiv created 2022/01/15 · arxiv updated 2022/01/19

Abstract

The paper discusses a reuse of matrix factorization as a building block in the Augmented Lagrangian (AL) and modified AL preconditioners for non-symmetric saddle point linear algebraic systems. The strategy is applied to solve two-dimensional incompressible fluid problems with efficiency rates independent of the Reynolds number. The solver is then tested to simulate motion of a surface fluid, an example of a 2D flow motivated by an interest in lateral fluidity of inextensible viscous membranes. Numerical examples include the Kelvin--Helmholtz instability problem posed on the sphere and on the torus. Some new eigenvalue estimates for the AL preconditioner are derived.

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