Note
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Auxiliary file
import numpy as np
domain = np.linspace(0, 10, 50)
def model_quadratic(theta):
# this one takes one parameter vector theta and return one qoi
inpt = np.array(theta).reshape((-1,))
return inpt[0] * domain + inpt[1] * domain ** 2
def model_linear(theta):
# this one takes one parameter vector theta and return one qoi
inpt = np.array(theta).reshape((-1,))
return inpt[0] * domain
def model_cubic(theta):
# this one takes one parameter vector theta and return one qoi
inpt = np.array(theta).reshape((-1,))
return inpt[0] * domain + inpt[1] * domain ** 2 + inpt[2] * domain ** 3
Total running time of the script: ( 0 minutes 0.000 seconds)
