A method with inertial extrapolation step for convex constrained monotone equations

Abdulkarim Hassan Ibrahim, Poom Kumam*, Auwal Bala Abubakar, Jamilu Abubakar

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


In recent times, various algorithms have been incorporated with the inertial extrapolation step to speed up the convergence of the sequence generated by these algorithms. As far as we know, very few results exist regarding algorithms of the inertial derivative-free projection method for solving convex constrained monotone nonlinear equations. In this article, the convergence analysis of a derivative-free iterative algorithm (Liu and Feng in Numer. Algorithms 82(1):245–262, 2019) with an inertial extrapolation step for solving large scale convex constrained monotone nonlinear equations is studied. The proposed method generates a sufficient descent direction at each iteration. Under some mild assumptions, the global convergence of the sequence generated by the proposed method is established. Furthermore, some experimental results are presented to support the theoretical analysis of the proposed method.

Original languageEnglish
Article number189
JournalJournal of Inequalities and Applications
Issue number1
Publication statusPublished - 2021
Externally publishedYes


  • Derivative-free method
  • Inertial algorithm
  • Iterative method
  • Nonlinear equations
  • Projection method


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