Relaxed inertial method for solving a class of bilevel variational inequalities

In this paper, we investigate a problem of monotone variational inequalities over the solution set of a split variational inequality problem in real Hilbert spaces.We propose a new two-step inertial iterative method with self-adaptive step sizes for approximating the solution of the problem.Our proposed algorithm does not require the co-coerciveness of the associated single-valued operators.Moreover, some parameters are relaxed to accommodate a larger range of values for the step sizes.We obtain strong convergence results under some mild conditions on the control parameters and without prior knowledge of the transformation operators and the monotone and Lipschitz continuous constants of the involved operators.Finally, we apply our result to the traffic network models and we present several numerical experiments to demonstrate the implementability of the proposed method.

Publication Details

Journal
Applied Set-Valued Analysis and Optimization
Published
2025-01-01
DOI
https://doi.org/10.23952/asvao.7.2025.2.01
Primary Topic
Contact Mechanics and Variational Inequalities
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Relaxed inertial method for solving a class of bilevel variational inequalities

Applied Set-Valued Analysis and Optimization
Contact Mechanics and Variational Inequalities
article

Relaxed inertial method for solving a class of bilevel variational inequalities

article en

Abstract

In this paper, we investigate a problem of monotone variational inequalities over the solution set of a split variational inequality problem in real Hilbert spaces.We propose a new two-step inertial iterative method with self-adaptive step sizes for approximating the solution of the problem.Our proposed algorithm does not require the co-coerciveness of the associated single-valued operators.Moreover, some parameters are relaxed to accommodate a larger range of values for the step sizes.We obtain strong convergence results under some mild conditions on the control parameters and without prior knowledge of the transformation operators and the monotone and Lipschitz continuous constants of the involved operators.Finally, we apply our result to the traffic network models and we present several numerical experiments to demonstrate the implementability of the proposed method.

Applied Set-Valued Analysis and OptimizationVol. 7(2)
Strong
Reduced inequalities
Openalex Percentile: Top 93%
Contact Mechanics and Variational Inequalities
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.