Sensitivity analysis may also be called
A)postoptimality analysis.
B)nonparametric programming.
C)preoptimality analysis.
D)redundancy testing

Question

Quizplus · Accepted Answer

Sensitivity analysis is a postoptimality analysis technique, which means it is conducted after obtaining the optimal solution to the linear programming problem. Sensitivity analysis is used to determine how changes in the parameters of the problem affect the optimal solution. Nonparametric programming is a separate technique used for problems where the parameters are not known or are difficult to estimate. Preoptimality analysis is not a term used in linear programming, and redundancy testing is a different concept altogether.

Sensitivity Analysis May Also Be Called