Some new preconditioned generalized AOR methods for generalized least-squares problems

作者:

Highlights:

摘要

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.

论文关键词:Preconditioned,GAOR method,Preconditioned GAOR method,Generalized least squares problem,Convergence,Comparison

论文评审过程:Received 2 April 2015, Revised 5 July 2015, Accepted 13 July 2015, Available online 7 August 2015, Version of Record 7 August 2015.

论文官网地址:https://doi.org/10.1016/j.amc.2015.07.062