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A fully adaptive method for variational inequalities with quasi-monotonicity.

Authors :
Iyiola, Olaniyi S.
Shehu, Yekini
Source :
Applied Numerical Mathematics. Dec2023, Vol. 194, p18-43. 26p.
Publication Year :
2023

Abstract

This paper presents a fully adaptive iterative method without linesearch procedure to solve variational inequalities in the setting of quasi-monotone which is locally Lipschitz. Our method involves one functional evaluation alongside one projection per iteration and our stepsizes are not restricted to be nonincreasing as opposed to relevant methods without linesearch procedure but with nonincreasing stepsizes. We give weak and strong convergence analysis of the sequences generated by our proposed method under some mild conditions. We also give R -linear rate convergence under an error bound condition and give some numerical implementations of our method. Numerical results show that our proposed method is competitive with other related methods in the literature. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01689274
Volume :
194
Database :
Academic Search Index
Journal :
Applied Numerical Mathematics
Publication Type :
Academic Journal
Accession number :
172345802
Full Text :
https://doi.org/10.1016/j.apnum.2023.08.005