If a decision variable is not positive in the optimal solution,its reduced cost is
A)what its objective function value would need to be before it could become positive.
B)the amount its objective function value would need to improve before it could become positive.
C)zero.
D)its dual price.

Question

Quizplus · Accepted Answer

The reduced cost of a decision variable that is not positive in the optimal solution represents the amount by which its objective function coefficient would need to improve (increase for a maximization problem, decrease for a minimization problem) before the variable could enter the basis (become positive) in the solution.

If a Decision Variable Is Not Positive in the Optimal