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Stochastic Optimization (also called Stochastic Programming) is concerned with optimization problems under uncertainty. In such optimization problems, some of the input data are not known with certainty at the time of decision making. In Stochastic Optimization it is assumed that we have information about the distribution of these uncertain input parameters. This information in then incorporated into the mathematical programming models to yield optimal decisions under uncertainty.