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Convergence of a generalized MSSOR method for augmented systems

机译:扩充系统的广义MSSOR方法的收敛性

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Recently, Wu et al. [S.-L. Wu, T.-Z. Huang, X.-L. Zhao, A modified SSOR iterative method for augmented systems, J. Comput. Appl. Math. 228 (1) (2009) 424433] introduced a modified SSOR (MSSOR) method for augmented systems. In this paper, we establish a generalized MSSOR (GMSSOR) method for solving the large sparse augmented systems of linear equations, which is the extension of the MSSOR method. Furthermore, the convergence of the GMSSOR method for augmented systems is analyzed and numerical experiments are carried out, which show that the GMSSOR method with appropriate parameters has a faster convergence rate than the MSSOR method with optimal parameters.
机译:最近,吴等。 [S.-L.吴天柱黄X.-L. Zhao,一种用于增强系统的改进的SSOR迭代方法,J。Comput。应用数学。 [228(1)(2009)424433]引入了一种用于增强系统的改进的SSOR(MSSOR)方法。在本文中,我们建立了一种通用的MSSOR(GMSSOR)方法来求解线性方程的大型稀疏扩充系统,这是MSSOR方法的扩展。此外,分析了增强系统GMSSOR方法的收敛性,并进行了数值实验,结果表明,具有适当参数的GMSSOR方法的收敛速度比具有最佳参数的MSSOR方法的收敛速度快。

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