In this paper, we obtain successively weak, strong and linear convergence analysis of the
sequence of iterates generated by our proposed subgradient extragradient method with …

In this paper, we propose a new inertial extrapolation method for solving a certain class of
generalized split feasibility problems in two real Hilbert spaces. We prove that the proposed …

In this paper, we propose a new iterative algorithm for finding the common solution of the
fixed points of nonexpansive map** and the solution of the pseudomonotone variational …

In this paper, we introduce a new algorithm by incorporating inertial terms in a subgradient
extragradient algorithm for solving variational inequality problems involving strongly …

Various versions of inertial subgradient extragradient methods for solving variational
inequalities have been and continue to be studied extensively in the literature. In many of …

In this paper, we present a new modified self-adaptive inertial subgradient extragradient
algorithm in which the two projections are made onto some half spaces. Moreover, under …

In this paper, basing on the subgradient extragradient method and inertial method with line-
search process, we introduce two new algorithms for finding a common element of the …

The aim of this paper is to study a classical pseudo-monotone and non-Lipschitz continuous
variational inequality problem in real Hilbert spaces. Weak and strong convergence …

We propose and study new projection-type algorithms for solving pseudomonotone
variational inequality problems in real Hilbert spaces without assuming Lipschitz continuity …

This article proposes a novel fixed-time converging forward-backward-forward
neurodynamic network (FXFNN) to deal with mixed variational inequalities (MVIs). A …