Two-step modulus-based matrix splitting iteration methods for implicit complementarity problems

被引：22
|
作者：
Cao, Yang [1 ]
Wang, An [2 ]
机构：
[1] Nantong Univ, Sch Transportat, Nantong 226019, Peoples R China
[2] Nantong Univ, Sch Sci, Nantong 226019, Peoples R China
来源：
NUMERICAL ALGORITHMS | 2019年 / 82卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Implicit complementarity problem; Modulus method; Matrix splitting; Convergence; LARGE SPARSE SYSTEMS; CONVERGENCE; ALGORITHMS;
D O I：
10.1007/s11075-019-00660-7
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In this paper, a class of two-step modulus-based matrix splitting (TMMS) iteration methods are proposed to solve the implicit complementarity problems. It is proved that the TMMS iteration methods are convergent under certain conditions when the system matrix is either a positive definite matrix or an H+-matrix. Two numerical examples are given to illustrate the effectiveness of the new proposed iteration methods. Numerical results show that the new proposed TMMS iteration methods have better performance than the existing modulus-based relaxation iteration methods for solving the implicit complementarity problems.
引用
收藏
页码：1377 / 1394
页数：18
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