| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 472116 | Computers & Mathematics with Applications | 2009 | 8 Pages |
Abstract
In this paper, we present a gradient based iterative algorithm for solving general linear matrix equations by extending the Jacobi iteration and by applying the hierarchical identification principle. Convergence analysis indicates that the iterative solutions always converge fast to the exact solutions for any initial values and small condition numbers of the associated matrices. Two numerical examples are provided to show that the proposed algorithm is effective.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Li Xie, Jie Ding, Feng Ding,