Fixed Point Methods and Optimization

Electronic ISSN: 3008-1548

DOI: 10.69829/fpmo

Forward-reflected-backward method with two-step inertial for variational inequalities

Fixed Point Methods and Optimization, Volume 1, Issue 2, December 2024, Pages 101–124

CHINEDU IZUCHUKWU

School of Mathematics, University of the Witwatersrand, Private Bag 3, Johannesburg, 2050, South Africa

YEKINI SHEHU

School of Mathematical Sciences, Zhejiang Normal University, Jinhua, 321004, People’s Republic of China


Abstract

A forward-reflected-backward splitting method of Malitsky-Tam with two-step inertial extrapolation and self-adaptive step sizes is proposed to solve variational inequalities in quasi-monotone setting. Our method features one projection onto the feasible set and one functional evaluation at each iteration. A two-step inertial extrapolation is added to further improve on the convergence speed of the proposed method and self-adaptive step sizes are used in order to reduce computational complexity of our method. Weak convergence analysis are obtained under some easy to verify conditions on the iterative parameters in Hilbert spaces. Preliminary numerical tests are performed to support the theoretical analysis and show the superiority of our method over recent related methods in the literature.


Cite this Article as

Chinedu Izuchukwu and Yekini Shehu, Forward-reflected-backward method with two-step inertial for variational inequalities, Fixed Point Methods and Optimization, 1(2), 101–124, 2024