Optimal solutions to linear programming problems are found under probabilistic assumptions.

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Optimal solutions to linear programming problems are found by applying mathematical optimization techniques and do not require any probabilistic assumptions. Linear programming is a deterministic method, which means that the results will always be the same for a given set of inputs. However, stochastic linear programming involves the use of probabilistic assumptions in order to account for uncertain variables or constraints.

Optimal Solutions to Linear Programming Problems Are Found Under Probabilistic