input: Write a python function to find the minimum of the function 3x^2 + 2xy + 7y^2 using scipy.optimize.minimize with given bounds.
  assert optimize_function()==(0.0, 0.0, 0.0)
  assert optimize_function((2, 2))==(0.0, 0.0, 0.0)
  assert optimize_function((0, 0))==(0.0, 0.0, 0.0)
output: from scipy.optimize import minimize
  
  def optimize_function(initial_guess=(1, 1)):
      def objective_function(vars):
          x, y = vars
          return 3*x**2 + 2*x*y + 7*y**2
  
      bounds = [(-100, 100), (-100, 100)]
      result = minimize(objective_function, initial_guess, bounds=bounds)
      
      return (round(result.fun, 1), round(result.x[0], 1), round(result.x[1], 1))