Convergence Analysis of Iterative Schemes for Variational Inequalities with Demi-Contractive and Quasi-Nonexpansive Mappings in Hilbert Space

This study investigates the convergence properties of iterative algorithms designed for addressing variational inequalities that involve demi-contractive and quasi-nonexpansive mappings within Hilbert spaces. By imposing appropriate conditions, we demonstrate the strong convergence of the developed iterative process to the unique solution of the respective variational inequality. The findings contribute novel perspectives on the convergence dynamics of iterative techniques when applied to nonlinear mathematical problems.

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Publication Details

Journal
European Journal of Mathematical Analysis
Published
2026-11-04
DOI
https://doi.org/10.28924/ada/ma.6.22
Primary Topic
Optimization and Variational Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Convergence Analysis of Iterative Schemes for Variational Inequalities with Demi-Contractive and Quasi-Nonexpansive Mappings in Hilbert Space

John T. Mendy, Furmose Mendy, Modou Njie, Yahya Khan
European Journal of Mathematical Analysis
Optimization and Variational Analysis
article

Convergence Analysis of Iterative Schemes for Variational Inequalities with Demi-Contractive and Quasi-Nonexpansive Mappings in Hilbert Space

John T. Mendy, Furmose Mendy, Modou Njie, Yahya Khan
article en

Abstract

This study investigates the convergence properties of iterative algorithms designed for addressing variational inequalities that involve demi-contractive and quasi-nonexpansive mappings within Hilbert spaces. By imposing appropriate conditions, we demonstrate the strong convergence of the developed iterative process to the unique solution of the respective variational inequality. The findings contribute novel perspectives on the convergence dynamics of iterative techniques when applied to nonlinear mathematical problems.

European Journal of Mathematical AnalysisVol. 6
University of Wisconsin–Madison (US), University of Toledo (US)
Openalex Percentile: Top 16%
Optimization and Variational Analysis
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