A note on the GMRES method for linear discrete ill-posed problems

Nao Kuroiwa, Takashi Nodera

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


In this paper, we are presenting a proposal for new modified algorithms for RRGMRES and AGMRES. It is known that RRGMRES and AGMRES are viable methods for solving linear discrete ill-posed problems. In this paper we have focused on the residual norm and have come-up with two improvements where successive updates and the stabilization of decreases for the residual norm improve performance respectively. Our numerical experiments confirm that our improved algorithms are effective for linear discrete ill-posed problems.

Original languageEnglish
Pages (from-to)816-829
Number of pages14
JournalAdvances in Applied Mathematics and Mechanics
Issue number6
Publication statusPublished - 2009 Dec 1


  • Iterative method
  • Linear discrete ill-posed problem
  • Numerical computation

ASJC Scopus subject areas

  • Mechanical Engineering
  • Applied Mathematics


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