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The graphical method of linear programming offers several advantages, including its simplicity and visual representation, making it easy to understand and interpret the feasible region and optimal solution. However, it is limited to problems with two variables, which restricts its applicability for more complex scenarios. Additionally, the graphical method can become cumbersome and less precise for larger datasets or when dealing with multiple constraints. Overall, while it serves as an effective educational tool, its practicality is limited in real-world applications involving higher dimensions.

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