Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6420081 | Applied Mathematics and Computation | 2015 | 18 Pages |
Abstract
In this paper, we present some new preconditioned GAOR methods for solving generalized least-squares problems and their comparison results. Comparison results show that the convergence rates of the new preconditioned GAOR methods are better than those of the preconditioned GAOR methods presented by Zhou et al. (2009) [19] and Wang et al. (2013) [18] whenever these methods are convergent. Lastly, numerical experiments are provided to confirm the theoretical results.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Zheng-Ge Huang, Zhong Xu, Quan Lu, Jing-Jing Cui,