Weak convergence of a self-adaptive tseng-type algorithm for solving variational inclusion problems

In this paper, we discuss iterative algorithms for approximating a solution of a variational inclusion problem in a real Hilbert space. We propose a self-adaptive Tseng-type iterative sequence for finding a solution of a variational inclusion involved in plain monotone operators. We show the weak convergence of the sequence under some appropriate conditions.