In this article, we propose a new efficient selfadaptive method and prove that it converges
strongly to a minimumnorm solution of a generalized split feasibility problem in real Hilbert …

Several efficient methods have been developed in the literature for approximating solutions
of fixed point and optimization problems. However, the S-iteration process has been shown …

In this paper, we introduce a new relaxed inertial Tseng extragradient method with self-
adaptive step size for approximating common solutions of monotone variational inequality …

In this paper, we study the problem of finding the solution of the system of monotone
variational inclusion problems recently introduced by Chang et al.(Optimization 70 (12) …

In this paper, we study the problem of finding a common solution of the pseudomonotone
variational inequality problem and fixed point problem for demicontractive mappings. We …

In this paper, we propose and study new inertial viscosity Tseng's extragradient algorithms
with self-adaptive step size to solve the variational inequality problem (VIP) and the fixed …

A survey of the existing literature reveals that results on quasimonotone variational
inequality problems are scanty in the literature. Moreover, the few existing results are either …

In this paper, we propose and study a new inertial iterative algorithm with self-adaptive step
size for approximating a common solution of finite family of split monotone variational …

Many methods have been proposed in the literature for solving the split variational inequality
problem. Most of these methods either require that this problem is transformed into an …

In this paper, we propose three kinds of inertial approximation methods based on the
proximal gradient algorithm to accelerate the convergence of the algorithm for solving …