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Sensitivity analysis evaluates how changes in assumptions, variables, or parameters affect a model's outcomes, providing insights into the robustness and reliability of the results, and identifying critical factors driving the solution.

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To determine how changes in input parameters may affect a mathematical model's best solution, the concepts of sensitivity analysis and shadow price are utilized in operations research 


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