  The main contributions of this paper are the proposition and the convergence
analysis of a class of inertial projection-type algorithm for solving
variational inequality problems in real Hilbert spaces where the underline
operator is monotone and uniformly continuous. We carry out a unified analysis
of the proposed method under very mild assumptions. In particular, weak
convergence of the generated sequence is established and nonasymptotic $O(1/n)$
rate of convergence is established, where $n$ denotes the iteration counter. We
also present some experimental results to illustrate the profits gained by
introducing the inertial extrapolation steps.
