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Yekini Shehu, New linear convergence results on quasi-variational inequalities

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DOI: 10.23952/jano.3.2021.3.04
Volume 3, Issue 3, 31 December 2021, Pages 489-499

 

Abstract. We propose a new projection algorithm with alternated inertial extrapolation steps, and obtain the linear convergence of the algorithm for a quasi-variational inequality problem in Hilbert spaces. We investigate the cases of under-relaxation and over-relaxation of the proposed algorithm, and give linear convergence results in each case. We also obtain some priori and apriori error bounds of our proposed algorithm.

 

How to Cite this Article:
Yekini Shehu, New linear convergence results on quasi-variational inequalities, J. Appl. Numer. Optim. 3 (2021), 489-499.