For a linear programming problem, assume that a given resource has not been fully used. We can conclude that the shadow price associated with that constraint
A) will have a positive value.
B) will have a negative value.
C) will have a value of zero.
D) could have a positive, negative or a value of zero. (no sign restrictions).

Question

Quizplus · Accepted Answer

The shadow price of a constraint in a linear programming problem represents the change in the objective function value per unit increase in the right-hand side of the constraint. If a given resource has not been fully used, it means that the constraint is not binding, and thus, the shadow price associated with that constraint will have a value of zero, indicating that increasing the resource availability will not affect the objective function value.

For a Linear Programming Problem, Assume That a Given Resource