In linear programming, sensitivity analysis is associated with:

a. Substituting the coordinates of each corner point into the objective function to determine which corner point is optimal.

b. A constraint that forms the optimal corner point of the feasible solution space.

c. Representing the requirements or limitations that restrict the available choices.

d. A constraint that does not form a unique boundary of the feasible solution space.

e. Assessing the impact of potential changes of the parameters (numerical values) of an LP model on its optimal solution.