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A Generalization of Relaxed Dimensional Factorization Preconditoner for Navier-Stokes Equations

机译:Navier-Stokes方程的松弛维因式分解前置条件的一般化

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In this paper we generalize the relaxed dimensional factorization preconditioner for linear systems of saddle point type arising from the numerical solution of the Navier-Stokes equations. The preconditioner is used to accelerate the convergence of the Generalized Minimal Residual method (GMRES) applied to the Oseen problem. This method requires the solution of two linear systems which can be solved inexactly in saddle point system. Numerical experimental results further show the effectiveness of the modified RDF method.
机译:在本文中,我们归纳了由Navier-Stokes方程的数值解引起的鞍点型线性系统的松弛维分解因子预处理器。预处理器用于加速适用于Oseen问题的广义最小残差方法(GMRES)的收敛。该方法需要两个线性系统的解,而这在鞍点系统中可能是不精确的。数值实验结果进一步证明了改进的RDF方法的有效性。

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