How does sensitivity analysis help in decision-making?
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Sensitivity analysis provides insights into which parameters significantly affect the optimal solution, allowing decision-makers to focus on critical variables. It also aids in understanding potential risks and the stability of solutions under uncertain conditions.
Sensitivity analysis aids in decision-making by evaluating how changes in input parameters of a mathematical model, such as a Linear Programming (LP) problem, affect the optimal solution.
Sensitivity analysis helps in decision-making by evaluating how changes in input variables affect the outcome, enabling better understanding of risk and uncertainty.