A new iterative method for large sparse linear systems

被引:1
|
作者
Li, CJ
Evans, DJ
机构
[1] LOUGHBOROUGH UNIV TECHNOL,DEPT COMP STUDIES,LOUGHBOROUGH LE11 3TU,LEICS,ENGLAND
[2] ACAD SINICA,OPEN LAB CAD CAM TECH ADV MFG,BEIJING 100864,PEOPLES R CHINA
关键词
linear systems; iterative method; Gauss-Seidel method; SOR method; conjugate gradient method; parallel computations and preconditioning;
D O I
10.1080/00207169608804541
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper a new iterative method is given for solving large sparse linear system. The new iterative method involves a parameter rho and an auxiliary matrix P. The method is shown to be convergent if rho and matrix P are properly chosen and if the coefficient matrix of the concerned linear system is nonsingular. The new method is also suitable for parallel computations and can be applied to least squares problems, optimization problems and others. Besides, the new iterative method can be combined with preconditioning techniques, therefore can be expected to be more attractive.
引用
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页码:241 / 248
页数:8
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