<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si4.svg" display="inline" id="d1e264"> <mml:mi mathvariant="script">G</mml:mi> </mml:math> -Tseng’s extragradient method for approximating <mml:math xmlns:mml="http://www.w3.org/1998/Ma

In this article, we introduce the G -Tseng’s extragradient method, inspired by the extragradient method defined by Korpelevich, for solving G -variational inequality problems in Hilbert space. We also address a fixed point problem in a Hilbert space endowed with a graph using the proposed G -Tseng’s extragradient method. In the context of Hilbert space, we establish weak and strong convergence theorems for the algorithm. Additionally, we provide numerical examples to support our findings.

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Publication Details

Journal
Examples and Counterexamples
Published
2025-04-28
DOI
https://doi.org/10.1016/j.exco.2025.100185
Primary Topic
Optimization and Variational Analysis
Type
article
Field-Weighted Citation Impact
0.00
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<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si4.svg" display="inline" id="d1e264"> <mml:mi mathvariant="script">G</mml:mi> </mml:math> -Tseng’s extragradient method for approximating <mml:math xmlns:mml="http://www.w3.org/1998/Ma

Monika Swami, Manoharsinh Jadeja
Examples and Counterexamples
Optimization and Variational Analysis
article

<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si4.svg" display="inline" id="d1e264"> <mml:mi mathvariant="script">G</mml:mi> </mml:math> -Tseng’s extragradient method for approximating <mml:math xmlns:mml="http://www.w3.org/1998/Ma

Monika Swami, Manoharsinh Jadeja
article en

Abstract

In this article, we introduce the G -Tseng’s extragradient method, inspired by the extragradient method defined by Korpelevich, for solving G -variational inequality problems in Hilbert space. We also address a fixed point problem in a Hilbert space endowed with a graph using the proposed G -Tseng’s extragradient method. In the context of Hilbert space, we establish weak and strong convergence theorems for the algorithm. Additionally, we provide numerical examples to support our findings.

Examples and CounterexamplesVol. 7
Marwadi University (IN), Atmiya University (IN)
Openalex Percentile: Top 90%
Optimization and Variational Analysis
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