The modulus-based matrix splitting algorithms for a class of weakly nonlinear complementarity problems

被引:52
|
作者
Huang, Na [1 ]
Ma, Changfeng [1 ]
机构
[1] Fujian Normal Univ, Sch Math & Comp Sci, Fuzhou 350117, Peoples R China
基金
中国国家自然科学基金;
关键词
nonlinear complementarity problem; matrix splitting iteration method; modulus-based; convergence analysis; SMOOTHING NEWTON METHOD; SOLVING VARIATIONAL-INEQUALITIES; BROYDEN-LIKE METHOD; ITERATIVE METHODS; MULTISPLITTING METHODS; SOURCE TERMS; CONVERGENCE; P-0-NCP;
D O I
10.1002/nla.2039
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we study a class of weakly nonlinear complementarity problems arising from the discretization of free boundary problems. By reformulating the complementarity problems as implicit fixed-point equations based on splitting of the system matrices, we propose a class of modulus-based matrix splitting algorithms. We show their convergence by assuming that the system matrix is positive definite. Moreover, we give several kinds of typical practical choices of the modulus-based matrix splitting iteration methods based on the different splitting of the system matrix. Numerical experiments on two model problems are presented to illustrate the theoretical results and examine the numerical effectiveness of our modulus-based matrix splitting algorithms. Copyright (C) 2016 John Wiley & Sons, Ltd.
引用
收藏
页码:558 / 569
页数:12
相关论文
共 50 条