Merge pull request #271 from Quantum-Software-Development/FabianaCampanari-patch-1

Update README.md

Author: FabianaCampanari

README.md

@@ -51,7 +51,7 @@ The [key difference]() between sim-opt and other analytical tools is its [abilit
 
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-## I- Example of a [Optimization Problem]()
+# I- Example of a [Optimization Problem]()
 
 ### An optimization problem can be represented using the `optidef` package. For example:
 
@@ -116,7 +116,7 @@ y(t) = A e^{kt}
 
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-## II- [Modeling - Writing Mathematical Models]()
+# II- [Modeling - Writing Mathematical Models]()
 
 
 ### [Example](): Maximizing Profit for a Chocolate Manufacturer
@@ -210,7 +210,7 @@ Thus, the maximum profit achievable is [**R$ 5,100**]().
 <br><br>
 
 
-## III- [Graphical Method for Linear Programming]() (LP)
+# III- [Graphical Method for Linear Programming]() (LP)
 
 #### [Click here](https://github.com/Quantum-Software-Development/Optimization-Simulation-Modeling-LinearProgramming/tree/bcf9b6ae4da82dba29644bd2599e54e86f5c8188/class_3-Graphic%20Method/Manually%20solved%20exercises) and access solved exercises manually
 
@@ -344,7 +344,7 @@ The graphical method is a useful tool for solving linear programming problems wi
 
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-## IV- The Simplex Algorithm
+# IV- The Simplex Method
 
 
 #### [Click here](https://github.com/Quantum-Software-Development/Optimization-Simulation-Modeling-LinearProgramming/tree/f9cef4452ad8486d03c8273aa83885de625c2da8/class_4-Simplex%20Method/SIMPLEX%20IMPLEMENT%20and%20CALCULUS%20EXERCISES) and access Simplex Implementation and Calculus Exercises Manually Solved