Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4633911 | Applied Mathematics and Computation | 2008 | 9 Pages |
Abstract
In order to improve the convergence rates of iterative method solving the linear system Ax=b, a preconditioned AOR iterative method with a multi-parameters preconditioner I+Sâ¼Î± is proposed. Some convergence and comparison results for αiâ[0,1] are given when A is an L-matrix. When A is an H-matrix, the convergence of the corresponding methods is discussed for αiâ[0,αiâ²), where αi>1. Furthermore, effectiveness of the new preconditioner method is shown by numerical experiments. Numerical experiments show that our methods are superior to the basic AOR iterative methods.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Yao-Tang Li, Shunfeng Yang,