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SIMPLE-like preconditioners for saddle point problems from the steady Navier-Stokes equations

机译:通过稳定的Navier-Stokes方程求解鞍点问题的类SIMPLE预处理器

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The semi implicit method for pressure linked equations (SIMPLE) preconditioner is further generalized to a class of SIMPLE-like (SL) preconditioners for solving saddle point problems from the steady Navier-Stokes equations. The SL preconditioners can be also viewed as a generalization of the relaxed deteriorated PSS (RDPSS) preconditioner proposed by Cao et al. (2015). Convergence analysis of the corresponding SL iteration is presented and the optimal iteration parameter is obtained by minimizing the spectral radius of the SL iteration matrix. Moreover, Krylov subspace acceleration of the SL preconditioning is studied. The SL preconditioned saddle point matrix is analyzed. Results about eigenvalue and eigenvector distributions and the minimal polynomial are derived. Numerical experiments from "leaky" two dimensional lid-driven cavity problems are given, which show the advantages of the SL preconditioned GMRES over the DPSS and RDPSS preconditioned ones for solving saddle point problems. (C) 2016 Elsevier B.V. All rights reserved.
机译:压力链接方程(SIMPLE)预处理器的半隐式方法被进一步推广为一类SIMPLE类(SL)预处理器,用于从稳定的Navier-Stokes方程中求解鞍点问题。 SL预调节器也可以看作是Cao等人提出的松弛劣化PSS(RDPSS)预调节器的推广。 (2015)。给出了相应SL迭代的收敛性分析,并通过最小化SL迭代矩阵的谱半径来获得最佳迭代参数。此外,还研究了SL预处理的Krylov子空间加速度。分析了SL预处理的鞍点矩阵。得出关于特征值和特征向量分布以及最小多项式的结果。给出了“泄漏”二维盖驱动空腔问题的数值实验,表明了SL预处理的GMRES优于DPSS和RDPSS预处理的解决鞍点问题的优势。 (C)2016 Elsevier B.V.保留所有权利。

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