An Approach to Linear Programming under Uncertainty

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Abstract
A solution is given to a programming problem under uncertainty when the distribution function of demand is discrete and the cost structure assumes a certain type. The resulting objective function is convex, but not necessarily separable. With a rather simple change in variables, the solution of the stochastic problem is shown to be equivalent to the solution of a linear program.

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