input: Write a python function to find the minimum of the given function using the Nelder-Mead method.
  assert np.allclose(find_minimum(lambda x: x[0] + x[1]**2, [0,0]), [0,0], atol=1e-6)
  assert np.allclose(find_minimum(lambda x: (x[0]-1)**2 + (x[1]-2)**2, [0,0]), [1,2], atol=1e-6)
  assert np.allclose(find_minimum(lambda x: x[0]**2 + x[1]**2, [1,1]), [0,0], atol=1e-6)
output: def find_minimum(func, initial_guess):
      from scipy.optimize import minimize
      result = minimize(func, initial_guess, method='Nelder-Mead')
      return result.x