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

The purpose of this paper is to introduce and analyze two inertial algorithms with self-
adaptive stepsizes for solving variational inequalities in reflexive Banach spaces. Our …

Many important learning algorithms, such as stochastic gradient methods, are often
deployed to solve nonlinear problems on Riemannian manifolds. Motivated by these …

In this article, we present two Tseng's methods for finding a singularity point of an inclusion
problem which is defined by means of a sum of a single-valued vector field and a …

In this paper, we propose an efficient viscosity type subgradient extragradient algorithm for
solving pseudomonotone variational inequality on Hadamard manifolds which is of …

This paper aims to introduce a new projection method for solving pseudomonotone
variational inequality problems in real reflexive Banach spaces. The main algorithm is based …

The objective of this work is to design a new iterative method based on Armijo's type-
modified extragradient method for solving the inclusion problem (A+ B)-1 (0), where A is a …

We examine a wide class of stochastic approximation algorithms for solving (stochastic)
nonlinear problems on Riemannian manifolds. Such algorithms arise naturally in the study …

In this paper, we present two algorithms for solving equilibrium problems on Hadamard
manifolds. The two algorithms use the extragradient model and the golden ratio model …

In this paper, we introduce a generalized split variational-hemivariational inequality in
Banach space and are devoted to discussing the equivalence of this inequality with its …