quadratic_function.py
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	import numpy as np

	# This function implements S(x) as given in the exercise sheet
	def quadratic_function(x):

	# create column vector of input array
	x.reshape(-1, 1)

	# create matrix and vector coefficients of S(x) given in exercise sheet
	A = np.array([[4, 0], [1, 3]])
	b = np.array([0, 1]).transpose()

	# return S(x)
	return (x.transpose() @ A) @ x - x.transpose() @ b