互补性(分子生物学)
放松(心理学)
趋同(经济学)
线性互补问题
基质(化学分析)
应用数学
动态松弛
数学
迭代法
正定矩阵
算法
模数
混合互补问题
数学优化
线性系统
互补理论
计算机科学
数学分析
非线性系统
几何学
材料科学
物理
特征向量
遗传学
量子力学
复合材料
生物
心理学
社会心理学
经济
经济增长
作者
Zhengge Huang,Jingjing Cui
标识
DOI:10.1016/j.rinam.2022.100304
摘要
This paper is concerned with solving linear complementarity problems (LCP) arising in many scientific and engineering fields. We propose an accelerated double-relaxation two-sweep modulus-based matrix splitting (ADRTMMS) iteration method by applying accelerating, relaxation and relaxation two-sweep techniques to the MMS one. This new method contains some known ones developed recently. Some sufficient conditions for guaranteeing the convergence of the ADRTMMS method are presented when the system matrices both are positive definite matrices and H+-matrices, which generalize some existing results. Specially, the convergence of the ADRTM accelerated overrelaxation (ADRTMAOR) method is discussed in details. At last, some numerical examples are provided to show that the ADRTMMS method is efficient and outperforms several existing MMS-like methods.
科研通智能强力驱动
Strongly Powered by AbleSci AI