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A global variant of the COCR method for the complex symmetric Sylvester matrix equation AX + XB = C
Computers & Mathematics with Applications ( IF 2.9 ) Pub Date : 2021-05-11 , DOI: 10.1016/j.camwa.2021.04.026
Sheng-Kun Li , Mao-Xiao Wang , Gang Liu

Complex symmetric Sylvester matrix equations appear in many applications, such as the numerical solution of the complex Helmholtz equations. In this paper, by designing a global complex symmetric M-Lanczos process we develop a global variant of the conjugate A-orthogonal conjugate residual method (Gl-COCR) for solving the Sylvester matrix equation AX+XB=C with complex symmetric coefficient matrices. To obtain the smooth and monotone convergence behavior, we also propose a smoothed Gl-COCR method, denoted by SGl-COCR. Finally, numerical examples are given to illustrate the performances of our methods.



中文翻译:

复对称Sylvester矩阵方程AX  +  XB  =  C的COCR方法的全局变量

复对称Sylvester矩阵方程出现在许多应用中,例如复Helmholtz方程的数值解。本文通过设计一个全局复对称的中号-Lanczos过程,我们开发了共轭A的全局变量-正交共轭残差方法(G1-COCR),用于求解Sylvester矩阵方程一种X+X=C具有复杂的对称系数矩阵。为了获得平滑和单调的收敛行为,我们还提出了一种平滑的G1-COCR方法,用SG1-COCR表示。最后,通过数值例子说明了我们方法的性能。

更新日期:2021-05-11
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