In the formulation of a linear programming model we expect to see a requirement on all the decision variables to be either zero or some positive value.

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This is because in linear programming, the decision variables represent quantities that we are trying to optimize. The requirement for them to be zero or positive ensures that we are only considering feasible solutions in the problem space. Negative decision variables do not make practical sense and would not contribute to a valid solution.

In the Formulation of a Linear Programming Model We Expect