On preconditioned modified Newton-MHSS method for systems of nonlinear equations with complex symmetric jacobian matrices

被引:0
|
作者
Hong-Xiu Zhong
Guo-Liang Chen
Xue-Ping Guo
机构
[1] East China Normal University,Department of Mathematics
[2] East China Normal University,Department of Mathematics, Shanghai Key Laboratory of PMMP
来源
Numerical Algorithms | 2015年 / 69卷
关键词
Large sparse systems; Nonlinear equations; Modified Newton-HSS method; Convergence analysis; 65F10; 65W05;
D O I
暂无
中图分类号
学科分类号
摘要
Preconditioned modified Hermitian and skew-Hermitian splitting (PMHSS) method is an unconditionally convergent iterative method for solving large sparse complex symmetric systems of linear equations. By making use of the PMHSS iteration as the inner solver to approximately solve the Newton equations, we establish a modified Newton-PMHSS method for solving large systems of nonlinear equations. Motivated by the idea in Chen et al. (2014), we analyze the local convergence properties under the Hölder continuous condition, which is weaker than the assumptions used in modified Newton-HSS method proposed by Wu and Chen (2013). Numerical results are given to confirm the effectiveness of our method.
引用
收藏
页码:553 / 567
页数:14
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