A method of feasible directions for solving nonsmooth stochastic programming problems

A method of feasible directions is proposed for solving stochastic programming problems with nonsmooth and nonconvex objectives. Convergence with probability 1 to stationary points is proved by means of a special Lyapunov function technique.