diff --git a/README.md b/README.md
index 6bfe8bc..0316ccb 100644
--- a/README.md
+++ b/README.md
@@ -333,7 +333,9 @@ The **graphical method** for solving simple linear programming (LP) problems inv
### [Key]() Concepts:
-**[Decision Variables]():** These are the variables that we want to determine the values of to optimize the ***[OBJECTIVE FUNCTION]()*** (e.g.):
+
+
+- **[Decision Variables]():** These are the variables that we want to determine the values of to optimize the ***[OBJECTIVE FUNCTION]()*** (e.g.):
@@ -363,29 +365,34 @@ $\(x_1\)$ and $\(x_2\)$
- **[Constraints]():** These are linear inequalities or equalities that restrict the values the decision variables can take.
-
- - [Equality constraint]():
+
+
+- **[Equality constraint]():**
- $$a_{i1}x_1 + a_{i2}x_2$$ = $$b_i$$
+ $a_{i1}x_1 + a_{i2}x_2$ = $b_i$
+
+
```latex
a_{i1}x_1 + a_{i2}x_2 = b_i
```
-
+
- - [Less than or equal to constraint]():
+- **[Less than or equal to constraint]():**
- $$a_{i1}x_1$$ + $$a_{i2}x_2 \leq b_i$$
+ $a_{i1}x_1$$ + $a_{i2}x_2 \leq b_i$$
```latex
a_{i1}x_1 + a_{i2}x_2 \leq b_i
```
-
+
+
+
- [Greater than or equal to constraint]():
@@ -437,7 +444,8 @@ $\(x_1\)$ and $\(x_2\)$
5. **[Determine the Optimal Solution]():**
* For a **maximization** problem, the vertex that yields the **largest** value of the objective function is the optimal solution [1, 6].
- * For a **minimization** problem, the vertex that yields the **smallest** value of the objective function is the optimal solution [2, 7].
+
+ * For a **minimization** problem, the vertex that yields the **smallest** value of the objective function is the optimal solution [2, 7].