Update README.md

Signed-off-by: Fabiana 🚀  Campanari <113218619+FabianaCampanari@users.noreply.github.com>

Author: FabianaCampanari

README.md

@@ -248,10 +248,15 @@ The **graphical method** for solving simple linear programming (LP) problems inv
 
 1. **[Plot the Constraints]():** For each constraint, treat it as an equality and plot the corresponding straight line on the Cartesian plane $\(x_1\)$ on the horizontal axis, $\(x_2\)$ on the vertical axis.
 
-2. **[Identify the Feasible Region]():** For each inequality constraint, determine which side of the line satisfies the inequality. This can be done by testing a point (e.g., the origin $\(0,0)\)$; if it's not on the line) in the inequality. The feasible region is the area where all the shaded regions of the inequalities overlap. If there are non-negativity constraints $\(x_1 \geq 0\)$ and $\(x_2 \geq 0\)$, the feasible region will be in the **[first quadrant]()**.
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+3. **[Identify the Feasible Region]():** For each inequality constraint, determine which side of the line satisfies the inequality. This can be done by testing a point (e.g., the origin $\(0,0)\)$; if it's not on the line) in the inequality. The feasible region is the area where all the shaded regions of the inequalities overlap. If there are non-negativity constraints $\(x_1 \geq 0\)$ and $\(x_2 \geq 0\)$, the feasible region will be in the **[first quadrant]()**.
 
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+ 4. **Evaluate the Objective Function at Each Vertex:** Substitute the coordinates of each vertex into the objective function to find the value of the objective function at that point.
 
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