Inertial forward-reflected-backward method for solving bilevel variational inequality problem

We introduce an inertial forward-reflected-backward method for solving the bilevel variational inequality problem. Our method involves a single projection onto the feasible set and one functional evaluation, which makes it cost-effective and efficient. The inertial technique in our algorithm improves its speed of convergence, and hence our algorithm performs faster than methods without inertial effect. Under moderate conditions, we obtain strong convergence of our algorithm. Lastly, we highlight the superior performance of our algorithm in comparison with other algorithms in the literature through our numerical experiments.

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Publication Details

Journal
Results in Applied Mathematics
Published
2025-11-01
DOI
https://doi.org/10.1016/j.rinam.2025.100658
Primary Topic
Optimization and Variational Analysis
Type
article
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article

Inertial forward-reflected-backward method for solving bilevel variational inequality problem

Chibueze Christian Okeke, Kingsley Chimuanya Ukandu, Maggie Aphane, Chinedu Izuchukwu et al.
Results in Applied Mathematics
Optimization and Variational Analysis
article

Inertial forward-reflected-backward method for solving bilevel variational inequality problem

Chibueze Christian Okeke, Kingsley Chimuanya Ukandu, Maggie Aphane, Chinedu Izuchukwu, K.O. Okorie
article en

Abstract

We introduce an inertial forward-reflected-backward method for solving the bilevel variational inequality problem. Our method involves a single projection onto the feasible set and one functional evaluation, which makes it cost-effective and efficient. The inertial technique in our algorithm improves its speed of convergence, and hence our algorithm performs faster than methods without inertial effect. Under moderate conditions, we obtain strong convergence of our algorithm. Lastly, we highlight the superior performance of our algorithm in comparison with other algorithms in the literature through our numerical experiments.

Results in Applied MathematicsVol. 28
Openalex Percentile: Top 64%
Optimization and Variational Analysis
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