Stochastic optimization
Stochastic optimization (SO) methods are optimization methods that generate and use random variables. For stochastic problems, the random variables appear in the formulation of the optimization problem itself, which involves random objective functions or random constraints. Stochastic optimization methods also include methods with random iterates. Some stochastic optimization methods use random iterates to solve stochastic problems, combining both meanings of stochastic optimization.
Stochastic optimization - Wikipedia Jump to content From Wikipedia, the free encyclopedia Optimization method This article is about iterative methods . For the modeling (and optimization) of decisions under uncertainty, see stochastic programming . For the context of control theory, see stochastic control . Stochastic optimization ( SO ) are optimization methods that generate and use random variables . For stochastic optimization problems, the objective functions or constraints are random. Stochastic optimization also include methods with random iterates . Some hybrid methods use random iterat
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