Convergence analysis of some new preconditioned AOR iterative methods for L-matrices

Zhengge Huang, Ligong Wang, Zhong Xu, Jingjing Cui

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

In this paper, we present a new preconditionerwhich generalizes two known preconditioners proposed byWang et al. (2009) and A. J. Li (2011), and prove that theconvergence rate of the AOR method with the new preconditioneris faster than the preconditioners introduced by Wanget al. Moreover, we propose other two new preconditioners andstudy the convergence rates of the new preconditioned AORmethods for solving linear systems. Comparison results showthat the new preconditioned AOR methods are better than thoseof the preconditioned AOR methods presented by J. H. Yun(2011) and A. J. Li (2012). Finally, numerical experiments areprovided to confirm the theoretical results studied in this paper.

Original languageEnglish
Pages (from-to)202-209
Number of pages8
JournalIAENG International Journal of Applied Mathematics
Volume46
Issue number2
StatePublished - 14 May 2016

Keywords

  • AOR method
  • L-matrices
  • Linear system
  • Preconditioned AOR method
  • Preconditioner

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