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

被引:21
|
作者
Zhong, Hong-Xiu [1 ]
Chen, Guo-Liang [2 ]
Guo, Xue-Ping [2 ]
机构
[1] E China Normal Univ, Dept Math, Shanghai 200241, Peoples R China
[2] E China Normal Univ, Dept Math, Shanghai Key Lab PMMP, Shanghai 200241, Peoples R China
基金
中国国家自然科学基金;
关键词
Large sparse systems; Nonlinear equations; Modified Newton-HSS method; Convergence analysis; HERMITIAN SPLITTING METHODS; CONVERGENCE; ITERATION;
D O I
10.1007/s11075-014-9912-2
中图分类号
O29 [应用数学];
学科分类号
070104 ;
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 Holder 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:15
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