Dependencies:

• NumPy provides functions to simplify linear algebraic equations, such as cross product, dot product, etc.
• Matplotlib is used to create a visualization of the running algorithms. Additionally, Matplotlib saves an image for each finished dataset by every algorithm that ran visually to the images/ folder.
• SciPy is solely used after each algorithm has run to assert that the results of the algorithm are equal to the results of SciPy's ConvexHull function.

Running the program:

• To run the program in 'benchmarking mode', which runs each algorithm 25 times, run main.py with python3 main.py.
• To run the program in 'visual mode', which displays the running algorithms, run main.py with python3 main.py -v.