In the field of mathematical optimization, stochastic programming is a framework for modeling optimization conditions that involve uncertainty. Whereas deterministic optimization troubles are formulated together with known parameters, real-world problems almost usually include some unidentified parameters. When the particular parameters are acknowledged only within certain bounds, one approach to tackling such problems is named robust optimization.
Stochastic Programming
