Application of parallel computing techniques for stochastic optimization problems

The paper proposes a particular approach, with algorithms, for seeking a numerical solution of the parametric optimization problem with a stochastic criterion. Special attention is paid to algorithms that reduce the computation cost of stochastic optimization problems. Several algorithms for multivariant analysis, stochastic criterion estimation and discrete optimization using parallel and distributed processing techniques are discussed.