This paper is a survey of methods for solving smooth (strongly) monotone stochastic variational inequalities. To begin with, we give the deterministic foundation from which the stochastic methods eventually evolved. Then we review methods for the general stochastic formulation, and look at the finite sum setup. The last parts of the paper are devoted to various recent (not necessarily stochastic) advances in algorithms for variational inequalities.

翻译：本文调查了解决平滑( 强势) 单质单质随机变异性不平等的方法。 首先,我们给出了最终演进随机方法的决定性基础。 然后我们审视了一般随机配方的方法,并审视了有限总和的设置。 本文最后一部分专门论述变异性不平等算法的最新( 不一定是随机的)进展。