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Another Hager-Zhang-type method via singular-value study for constrained monotone equations with application

  • Kabiru Ahmed*
  • , Mohammed Yusuf Waziri
  • , Abubakar Sani Halilu
  • , Salisu Murtala
  • , Jamilu Sabi’u
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Without setting any condition on the parameter θk of a four-term version of the classical one-parameter Hager-Zhang (HZ) method, this article proposes another HZ-type scheme for solving constrained monotone equations, where the condition for global convergence is satisfied for θk∈[0,+∞). This is an improvement from the former, its recent adaptive variant, where the global convergence condition holds for θk∈(0,+∞) under certain defined condition, as well as other adaptations for systems of monotone equations, where the condition holds only when θk∈(14,+∞). By conducting singular value study of iteration matrix of the scheme, a choice of θk restricted in the interval (0,14] is obtained to study its impact on the scheme. Moreover, the scheme converges globally and its effectiveness is shown by some numerical experiments and image de-blurring application.

Original languageEnglish
Pages (from-to)1583-1623
Number of pages41
JournalNumerical Algorithms
Volume96
Issue number4
DOIs
StatePublished - Aug 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023.

Keywords

  • 90C26
  • 90C30
  • 94A12
  • Convex constraint
  • Image de-blurring
  • Monotonicity
  • Signal processing
  • Singular values
  • Step-size

ASJC Scopus subject areas

  • Applied Mathematics

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