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].