main.py
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	### IMPORT LIBRARIES

	import numpy as np
	import scipy as sp
	import argparse

	#import quadratic_function
	#import optimizer
	#import conjugate_gradient


	### DEFINE PARAMETERS / COEFFICIENTS

	A = np.array([[4.0, 0.0], [1.0, 3.0]])
	b = np.array([0.0, 1.0])


	### ARGPARSE EXAMPLE : TO DO

	parser = argparse.ArgumentParser(description='Process Minimization Schemes')
	#parser.add_argument("A", help="Get the matrix A coefficients",
	# type=string)

	parser.add_argument('A', metavar='N', type=float, nargs='+',
	help='input matrix')
	#parser.add_argument('b', metavar='--b', type=float, nargs='+',
	# help='input vector')

	args = parser.parse_args()
	print(args.A)
	print(args.b)