A viscosity-based iterative method for solving split generalized equilibrium and fixed point problems of strict pseudo-contractions

In this paper, we developed a viscosity-based extragradient iterative algorithm to approximate the solution of the split generalized equilibrium problem, the variational inequality problem, and the fixed point problem for a finite family of $ \epsilon $-strict pseudo-contractive and a nonexpansive mapping in Hilbert space. The main purpose was to establish strong convergence of the proposed algorithm under suitable conditions. We presented a comprehensive computational analysis to illustrate the effectiveness of our method and compared its performance with existing approaches. Our results extend and unify several well-known results in the literature, contributing significantly to the field.

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Publication Details

Journal
AIMS Mathematics
Published
2025-01-01
DOI
https://doi.org/10.3934/math.2025401
Citations
2
Primary Topic
Optimization and Variational Analysis
Type
article
Field-Weighted Citation Impact
3.01
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article

A viscosity-based iterative method for solving split generalized equilibrium and fixed point problems of strict pseudo-contractions

Saud Fahad Aldosary, Mohammad Farid
2 citations
AIMS Mathematics
Optimization and Variational Analysis
3.01
article

A viscosity-based iterative method for solving split generalized equilibrium and fixed point problems of strict pseudo-contractions

Saud Fahad Aldosary, Mohammad Farid
article en
2 citations

Abstract

In this paper, we developed a viscosity-based extragradient iterative algorithm to approximate the solution of the split generalized equilibrium problem, the variational inequality problem, and the fixed point problem for a finite family of $ \epsilon $-strict pseudo-contractive and a nonexpansive mapping in Hilbert space. The main purpose was to establish strong convergence of the proposed algorithm under suitable conditions. We presented a comprehensive computational analysis to illustrate the effectiveness of our method and compared its performance with existing approaches. Our results extend and unify several well-known results in the literature, contributing significantly to the field.

AIMS MathematicsVol. 10(4)
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Optimization and Variational Analysis
3.01
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