NEW ITERATIVE METHODS FOR SOLVING LINEAR SYSTEMS

被引：0

作者：

Du, Joshua ^{[1
]}

Zheng, Baodong ^{[2
]}

Wang, Liancheng ^{[1
]}

机构：

[1] Kennesaw State Univ, Dept Math & Stat, Kennesaw, GA 30144 USA

[2] Harbin Inst Technol, Dept Math, Harbin 150001, Peoples R China

来源：

JOURNAL OF APPLIED ANALYSIS AND COMPUTATION | 2011年 / 1卷 / 03期

关键词：

Linear systems; Jacobi method; Gauss-Seidel method; convergence;

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this paper, we introduce some new iterative methods to solve linear systems Ax = b. We show that these methods, comparing to the classical Jacobi or Gauss-Seidel method, can be applied to more systems and have faster convergence.

引用

页码：351 / 360

页数：10

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