A new iteration method for a class of complex symmetric linear systems
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摘要
In this paper, a new iteration method is proposed for solving the complex symmetric linear systems. In theory, we show that the convergence factor or the upper bound of the spectral radius of the iteration matrix of the new method are smaller than that of the PMHSS method proposed by Bai et al. (2011). Moreover, we analyze and compare the parameter-free versions and the spectrum distributions of the preconditioned matrix of the new method and the PMHSS method. Finally, we present some numerical experiments on a few model problems to illustrate the theoretical results and show the effectiveness of our new method.
论文关键词:15A24,65F10,Complex symmetric linear system,PMHSS method,Convergence theory,Iterative methods,Numerical experiment
论文评审过程:Received 3 May 2016, Revised 8 February 2017, Available online 13 May 2017, Version of Record 26 May 2017.
论文官网地址:https://doi.org/10.1016/j.cam.2017.05.002