A unified approach to stochastic feasible direction methods is developed. An abstract point-to-set map description of the algorithm is used and a general convergence theorem is proved. The theory is used to develop stochastic analogs of classical feasible direction algorithms.
All Science Journal Classification (ASJC) codes
- Feasible Direction Methods
- Point-to-Set Maps
- Stochastic Programming