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

In this paper, four self-adaptive iterative algorithms with inertial effects are introduced to
solve a split variational inclusion problem in real Hilbert spaces. One of the advantages of …

In this work, we investigate pseudomonotone variational inequality problems in a real Hilbert
space and propose two projection-type methods with inertial terms for solving them. The first …

In this paper, we present an accelerated approach for addressing the common variational
inclusion problem in real Hilbert spaces that incorporates several techniques. Under …

In this paper, we compute a common solution of the fixed point problem (FPP) and the
generalized split common null point problem (GSCNPP) via the inertial hybrid shrinking …

In this paper, using a Bregman distance technique, we introduce a new single projection
process for approximating a common element in the set of solutions of variational …

In this work, we investigate a single projection method with double inertial extrapolation
steps and self-adaptive step sizes for solving pseudomonotone variational inequality …

In this work, we propose two new iterative schemes for finding an element of the set of
solutions of a pseudo-monotone, Lipschitz continuous variational inequality problem in real …

A family of inertial extragradient-type algorithms is proposed for solving convex
pseudomonotone variational inequality with fixed-point problems, where the involved …