Abstract
In this paper, we present a modification of the forward-backward splitting method with inertial extrapolation step and self-adaptive step sizes to solve variational inequalities in a quasi-monotone setting. Our proposed method involves one computation of the projection onto the feasible set and one evaluation of the operator per iteration, which is simpler than most methods available in the literature to solve similar problems. We first establish weak convergence result when the set of solutions of the Minty formulation of the variational inequality is nonempty in infinite dimensional Hilbert spaces under appropriate conditions. Next, we give linear convergence result when the operator is strongly pseudo-monotone. We also give numerical implementations of our proposed method and some comparisons with some other methods available in the literature.
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Acknowledgements
The authors are grateful to the associate editor and the anonymous referee for their insightful comments and suggestions which have improved greatly on the earlier version of the paper. This paper is dedicated to the loving memory of late Professor Charles Ejike Chidume (1947–2021).
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Izuchukwu, C., Shehu, Y. & Yao, JC. New inertial forward-backward type for variational inequalities with Quasi-monotonicity. J Glob Optim 84, 441–464 (2022). https://doi.org/10.1007/s10898-022-01152-0
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DOI: https://doi.org/10.1007/s10898-022-01152-0
Keywords
- Variational inequalities
- Quasi-monotone
- Inertial projection method
- Weak convergence
- Linear convergence
- Hilbert spaces