A general modulus-based matrix splitting method for quasi-complementarity problem

被引:4
|
作者
Zhou, Chen-Can [1 ,2 ]
Shen, Qin-Qin [2 ]
Yang, Geng-Chen [3 ]
Shi, Quan [2 ]
机构
[1] Nantong Univ, Sch Informat Sci & Technol, Nantong 226019, Peoples R China
[2] Nantong Univ, Sch Transportat & Civil Engn, Nantong 226019, Peoples R China
[3] Nantong Univ, Sch Sci, Nantong 226019, Peoples R China
来源
AIMS MATHEMATICS | 2022年 / 7卷 / 06期
关键词
quasi-complementarity problem; modulus-based iteration method; matrix splitting; convergence; ITERATION METHODS; MULTISPLITTING METHODS; CONVERGENCE;
D O I
10.3934/math.2022614
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
For large sparse quasi-complementarity problem (QCP), Wu and Guo [35] recently studied a modulus-based matrix splitting (MMS) iteration method, which belongs to a class of inner-outer iteration methods. In order to improve the convergence rate of the inner iteration so as to get fast convergence rate of the outer iteration, a general MMS (GMMS) iteration method is proposed in this paper. Convergence analyses on the GMMS method are studied in detail when the system matrix is either an H+-matrix or a positive definite matrix. In the case of H+-matrix, weaker convergence condition of the GMMS iteration method is obtained. Finally, two numerical experiments are conducted and the results indicate that the new proposed GMMS method achieves a better performance than the MMS iteration method.
引用
收藏
页码:10994 / 11014
页数:21
相关论文
共 50 条