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On GSOR-based iteration methods for solving weakly nonlinear systems with complex symmetric coefficient matrices
Journal of Applied Mathematics and Computing ( IF 2.4 ) Pub Date : 2021-04-03 , DOI: 10.1007/s12190-021-01536-7 Hui-Ting Wu , Xin Qi , Xiao-Yong Xiao
中文翻译:
基于GSOR的迭代方法求解具有复杂对称系数矩阵的弱非线性系统
更新日期:2021-04-04
Journal of Applied Mathematics and Computing ( IF 2.4 ) Pub Date : 2021-04-03 , DOI: 10.1007/s12190-021-01536-7 Hui-Ting Wu , Xin Qi , Xiao-Yong Xiao
In this paper, two methods based on generalized successive overrelaxation (GSOR) for solving weakly nonlinear systems with complex coefficient matrices are proposed: Picard-accelerated GSOR (P-AGSOR) and Picard-preconditioned GSOR (P-PGSOR) methods. Theoretical analysis demonstrates the local convergence properties of the two methods under appropriate assumptions. Numerical examples confirm the effectiveness and superiority of the two methods.
中文翻译:
基于GSOR的迭代方法求解具有复杂对称系数矩阵的弱非线性系统
本文提出了两种基于广义连续超松弛(GSOR)的方法来求解具有复杂系数矩阵的弱非线性系统:皮卡德加速GSOR(P-AGSOR)和皮卡德预处理GSOR(P-PGSOR)方法。理论分析证明了两种方法在适当假设下的局部收敛性。数值例子证实了这两种方法的有效性和优越性。