Adaptive control methods for stochastic calculation procedures

This paper considers quite artificial application of the adaptive control theory of stochastic systems to Monte-Carlo calculative procedures of many-dimensional integration and integral equations. Density function of a random grid of integration was selected to be a control action for these objects. Criterion of calculations accuracy, which has analytical representation for both considered objects of control, was selected to be the criterion of optimal functioning.