Answer:
The study of how changes in the input parameters of a linear programming problem affect the optimal solution is known as D. sensitivity analysis
Step-by-step explanation:
Sensitivity analysis is the investigation of how the vulnerability in the acquisition of a scientific model or framework (numerical or something else) can be partitioned and apportioned to various wellsprings of weakness in its sources of info.
In a Sensitivity analysis, just the ominous changes are represented to think about the effect of these progressions on the gainfulness of the task. The affectability examination fills the accompanying needs: It helps in distinguishing the key factors that are significant impacts on the expense and advantages of the job.