<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def execute(self, bounds=None, jacobian=None, hessian=None, constraints=None, **minimize_options):
 """ Calls the wrapped algorithm. :param bounds: The bounds for the parameters. Usually filled by :class:`~symfit.core.minimizers.BoundedMinimizer`. :param jacobian: The Jacobian. Usually filled by :class:`~symfit.core.minimizers.ScipyGradientMinimize`. :param \*\*minimize_options: Further keywords to pass to :func:`scipy.optimize.minimize`. Note that your `method` will usually be filled by a specific subclass. """

        ans = minimize(
            self.objective,
            self.initial_guesses,
            method=self.method_name(),
            bounds=bounds,
            constraints=constraints,
            jac=jacobian,
            hess=hessian,
            **minimize_options
        )
        return self._pack_output(ans)