Mirror Descent-Type Algorithms for the Variational Inequality Problem with Functional Constraints

This paper addresses constrained variational inequality problems with functional constraints, proposing mirror descent-type algorithms. These algorithms are analyzed for their optimal convergence rate for problems with bounded and monotone operators and Lipschitz convex functional constraints.