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:

An sensitivity analysis defines how different values of an independent variable under a specified set of assumptions impact a particular dependent variable.

In certain terms, sensitivity analyses studies how different sources of instability contribute to the overall uncertainty of the model in a mathematical model.

Within clear boundaries based on one or more input variables, this method is used.