In a real Hilbert space H, in order to develop fast optimization methods, we analyze the
asymptotic behavior, as time t tends to infinity, of a large class of autonomous dissipative …

In this paper, we propose a distributed algorithm for computation of a generalized Nash
equilibrium (GNE) in noncooperative games over networks. We consider games in which the …

In this article, we propose a new efficient self‐adaptive method and prove that it converges
strongly to a minimum‐norm solution of a generalized split feasibility problem in real Hilbert …

In this paper, we introduce and study the concept of split monotone variational inclusion
problem with multiple output sets (SMVIPMOS). We propose a new iterative scheme, which …

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 present two new relaxed inertial subgradient extragradient methods for
solving variational inequality problems in a real Hilbert space. We establish the …

The projection methods with vanilla inertial extrapolation step for variational inequalities
have been of interest to many authors recently due to the improved convergence speed …

In this paper, we introduce a relaxed CQ method with alternated inertial step for solving split
feasibility problems. We give convergence of the sequence generated by our method under …

We address the generalized Nash equilibrium seeking problem in a partial-decision
information scenario, where each agent can only exchange information with some …

In a Hilbert space HH, we study the convergence properties of a class of relaxed inertial
forward–backward algorithms. They aim to solve structured monotone inclusions of the form …