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An assessment of some solvers for saddle point problems emerging from the incompressible Navier-Stokes equations

机译:对不可压缩的Navier-Stokes方程中出现的鞍点问题的一些求解器的评估

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Efficient incompressible flow simulations, using inf-sup stable pairs of finite element spaces, require the application of efficient solvers for the arising linear saddle point problems. This paper presents an assessment of different solvers: the sparse direct solver UMFPACK, the flexible GMRES (FGMRES) method with different coupled multigrid preconditioners, and FGMRES with Least Squares Commutator (LSC) preconditioners. The assessment is performed for steady-state and time-dependent flows around cylinders in 2d and 3d. Several pairs of inf-sup stable finite element spaces with second order velocity and first order pressure are used. It turns out that for the steady-state problems often FGMRES with an appropriate multigrid preconditioner was the most efficient method on finer grids. For the time-dependent problems, FGMRES with LSC preconditioners that use an inexact iterative solution of the velocity subproblem worked best for smaller time steps. (C) 2017 Elsevier B.V. All rights reserved.
机译:使用inf-up稳定的有限元空间对的有效不可压缩流模拟,需要针对出现的线性鞍点问题应用有效的求解器。本文提出了对不同求解器的评估:稀疏直接求解器UMFPACK,具有不同耦合多重网格预处理器的柔性GMRES(FGMRES)方法以及具有最小二乘换向器(LSC)预处理器的FGMRES。在2d和3d中对圆柱周围的稳态流量和时间相关流量进行评估。使用几对具有二阶速度和一阶压力的insup稳定有限元空间。事实证明,对于稳态问题,带有适当的多网格预处理器的FGMRES通常是在较细网格上最有效的方法。对于与时间有关的问题,带有LSC预调节器的FGMRES使用速度子问题的不精确迭代解决方案,对于较小的时间步长,效果最佳。 (C)2017 Elsevier B.V.保留所有权利。

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