152
Views
8
CrossRef citations to date
0
Altmetric
Section B

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

, , &
Pages 1370-1383 | Received 15 Nov 2012, Accepted 01 Sep 2013, Published online: 29 Oct 2013
 

Abstract

Some new preconditioned GAOR methods for solving generalized least-squares problems and their comparison results are given. Comparison results show that the convergence rates of the new preconditioned GAOR methods are better than those of the preconditioned GAOR methods presented by Shen et al. [Preconditioned iterative methods for solving weighted linear least squares problems, Appl. Math. Mech. – Engl. Ed. 33(3) (2012), pp. 375–384] whenever these methods are convergent. Lastly, numerical experiments are provided to confirm the theoretical results.

2000 AMS Subject Classification:

Acknowledgements

The authors are grateful to the editor and referees for their useful and constructive suggestions which made the paper more perfectly. This work was supported by National Natural Science Foundations of China (11361074, 71161020, 71162005) and IRTSTYN.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,129.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.