The importance of for integer linear programming problems is often intensified by the fact that a small change in one of the coefficients in the constraints can cause a relatively large change in the value of the optimal solution. a. sensitivity analysis b. objective function c. optimization analysis d. decision variables

a. Sensitivity analysis

Explanation:

Sensitivity analysis determines how much an output would change with the variation of the input. This analysis is very important for integer linear programming because sometimes the large change in output can lead to undesirable, if not catastrophic results.

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