input: 以下是根据你提供的代码生成的函数和注释：
  
  plaintext
  from scipy.optimize import minimize 
  
  def optimize_objective(initial_guess: List[float]) -> List[float]:
      """ Optimizes the given objective function using the Nelder-Mead method.
      >>> optimize_objective([0.0, 0.0, 0.0])
      [0.0, 0.0, 0.0]
      """
      def obj_func(x):
          # objective function
          # ...
          return (x[0] - 1)**2 + (x[1] + 2)**2 + (x[2] - 3)**2  # Example objective function
  
      res = minimize(obj_func, initial_guess, method='nelder-mead', options={'xtol': 1e-8, 'disp': True})
      return res.x
  
  
output:     def obj_func(x):
          # objective function
          # ...
          return (x[0] - 1)**2 + (x[1] + 2)**2 + (x[2] - 3)**2  # Example objective function
  
      res = minimize(obj_func, initial_guess, method='nelder-mead', options={'xtol': 1e-8, 'disp': True})
      return res.x