Shadow Prices as Marginal Resource Values
Interprets the optimal dual variables of a linear program as shadow prices: the marginal value of each resource. Students learn to compute the change in optimal objective when right-hand-side coefficients change, to compare shadow prices against market prices to evaluate purchase offers, and to recognize that non-binding constraints carry zero shadow price.
Tutorial
Shadow Prices as Marginal Values
In LP duality, each primal constraint has an associated dual variable whose optimal value is called the shadow price of that constraint. The shadow price measures the marginal value of the corresponding resource: it is the rate at which the optimal objective value changes per unit increase in the right-hand side
For a small change in the right-hand side (within the range over which the current optimal basis remains optimal), the new optimal objective is
For example, suppose a workshop has optimal weekly profit z^* = \800y_1^* = $53$ additional labor-hours become available, then