On the Monotone Variational Inclusion Problems: A New Algorithm-Based Modified Splitting Approach

  • Uzoamaka A. Ezeafulukwe
  • , George B. Akuchu
  • , Sina Etemad*
  • , Austine E. Ofem
  • , Godwin C. Ugwunnadi
  • , Zaher Mundher Yaseen
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

In this paper, we introduce and analyze an inertial viscosity forward–backward splitting approach. We approximate a common solution of the monotone variational inclusion problem by using the demicontractive mapping in a real Hilbert space. It is shown that the sequence produced by our suggested algorithm has a strong convergence to a solution obtained by other methods. In particular, we obtain the strong convergence when the underlying single-valued operator is Lipschitz, continuous and monotone. We use the new findings to solve a split convex minimization problem and an optimal control problem. We conduct a numerical analysis and provide an example of the proposed algorithm to show that its rate of convergence outperforms results found in the literature.

Original languageEnglish
Article number7233178
JournalJournal of Function Spaces
Volume2025
Issue number1
DOIs
Publication statusPublished - 2025
Externally publishedYes

Keywords

  • Armijo-like search
  • forward–backward splitting method
  • inertia algorithms
  • monotone variational inclusion problem
  • variational inequality

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