Merge pull request #185 from Quantum-Software-Development/FabianaCampanari-patch-1

Update README.md

Author: FabianaCampanari

README.md

@@ -248,7 +248,7 @@ 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**.
+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**.