Iterative methods for solving proximal split minimization problems

M. Abbas, M. AlShahrani, Q. H. Ansari*, O. S. Iyiola, Y. Shehu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

42 Scopus citations

Abstract

In this paper, we propose two iterative algorithms for finding the minimum-norm solution of a split minimization problem. We prove strong convergence of the sequences generated by the proposed algorithms. The iterative schemes are proposed in such a way that the selection of the step-sizes does not need any prior information about the operator norm. We further give some examples to numerically verify the efficiency and implementation of our new methods and compare the two algorithms presented. Our results act as supplements to several recent important results in this area.

Original languageEnglish
Pages (from-to)193-215
Number of pages23
JournalNumerical Algorithms
Volume78
Issue number1
DOIs
StatePublished - 1 May 2018

Bibliographical note

Publisher Copyright:
© 2017, Springer Science+Business Media, LLC.

Keywords

  • Iterative methods
  • Moreau-Yosida approximate
  • Prox-regularity
  • Proximal split minimization problems
  • Strong convergence

ASJC Scopus subject areas

  • Applied Mathematics

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