Stochastic programming is a field within mathematical optimization and operations research focused on decision-making problems where some input parameters are uncertain. It explicitly models this uncertainty through probability distributions to determine strategies that are optimal in expectation or under specific risk criteria, providing a formal framework for robust planning and resource allocation in environments characterized by randomness.