Korean J. Math. Vol. 34 No. 3 (2026) pp.409-422
DOI: https://doi.org/10.11568/kjm.2026.34.3.409

A double inertial extragradient method for finite families of mappings and its application to variational inequalities

Main Article Content

Prashant Patel
Rahul Shukla

Abstract

This paper investigates the problem of finding a common solution to a variational inequality problem involving a pseudo-monotone operator and a fixed point problem for a finite family of quasi-nonexpansive mappings in real Hilbert spaces. We introduce a new double inertial Mann-type extragradient algorithm that incorporates a non-monotonic self-adaptive step size, eliminating the need for prior knowledge of the operator's Lipschitz constant. A weak convergence theorem is established for the proposed iterative method under standard assumptions. Our work extends and generalizes recent results in the literature, particularly those of Singh and Chandok (2024), to the more general setting of a finite family of mappings.


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References

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