Strong convergence of an inexact projected subgradient method for mixed variational inequalities
Guo-ji Tang, Nan‐jing Huang · Optimization · 2012
In this article, we propose an easily implementable algorithm method for solving mixed variational inequalities. The proposed method combines two strategies: inexact projected subgradient methods and regularization techniques. We prove that the sequence generated by the method is strongly convergent to a solution of the problem in Hilbert spaces, whenever it exists. The results presented in this article generalize and improve some recent results.