In this paper we develop a new and efficient method for variational inequality with Lipschitz continuous strongly monotone operator. Our analysis is based on a new strongly convex merit function. We apply a variant of the developed scheme for solving quasivariational inequalities. As a result, we significantly improve the standard sufficient condition for existence and uniqueness of their solutions. Moreover, we get a new numerical scheme, whose rate of convergence is much higher than that of the straightforward gradient method.
Nesterov, Y., & Scrimali, L. (2011). Solving strongly monotone variational and quasi-variational inequalities. Discrete and Continuous Dynamical Systems, 31(4), 1383-1396. https://doi.org/10.3934/DCDS.2011.31.1383 (Original work published 2011)