From 89c56a42c253748a981e55190b3a5d421a42b15a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Fabiana=20=F0=9F=9A=80=20=20Campanari?=
 <113218619+FabianaCampanari@users.noreply.github.com>
Date: Sun, 16 Mar 2025 18:34:49 -0300
Subject: [PATCH] Update README.md
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Signed-off-by: Fabiana 🚀  Campanari <113218619+FabianaCampanari@users.noreply.github.com>
---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 76050a5..e6bbd70 100644
--- a/README.md
+++ b/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**.