parameters: ()
docstring: r"""
      Options
      -------
      args : tuple, optional
          Extra arguments passed to the objective function and its derivative.
      xtol : float, optional
          Tolerance (absolute) for termination.
      rtol : float, optional
          Tolerance (relative) for termination.
      maxiter : int, optional
          Maximum number of iterations.
      x0 : float, required
          Initial guess.
      fprime : bool or callable, optional
          If `fprime` is a boolean and is True, `f` is assumed to return the
          value of derivative along with the objective function.
          `fprime` can also be a callable returning the derivative of `f`. In
          this case, it must accept the same arguments as `f`.
      options: dict, optional
          Specifies any method-specific options not covered above
docstring_summary: r"""
      Options
      -------
      args : tuple, optional
          Extra arguments passed to the objective function and its derivative.
      xtol : float, optional
          Tolerance (absolute) for termination.
      rtol : float, optional
          Tolerance (relative) for termination.
      maxiter : int, optional
          Maximum number of iterations.
      x0 : float, required
          Initial guess.
      fprime : bool or callable, optional
          If `fprime` is a boolean and is True, `f` is assumed to return the
          value of derivative along with the objective function.
          `fprime` can also be a callable returning the derivative of `f`. In
          this case, it must accept the same arguments as `f`.
      options: dict, optional
          Specifies any method-specific options not covered above
docstring_tokens: r Options ------- args : tuple optional Extra arguments passed to the objective function and its derivative . xtol : float optional Tolerance ( absolute ) for termination . rtol : float optional Tolerance ( relative ) for termination . maxiter : int optional Maximum number of iterations . x0 : float required Initial guess . fprime : bool or callable optional If fprime is a boolean and is True f is assumed to return the value of derivative along with the objective function . fprime can also be a callable returning the derivative of f . In this case it must accept the same arguments as f . options : dict optional Specifies any method - specific options not covered above
function: def _root_scalar_newton_doc():
      r"""
      Options
      -------
      args : tuple, optional
          Extra arguments passed to the objective function and its derivative.
      xtol : float, optional
          Tolerance (absolute) for termination.
      rtol : float, optional
          Tolerance (relative) for termination.
      maxiter : int, optional
          Maximum number of iterations.
      x0 : float, required
          Initial guess.
      fprime : bool or callable, optional
          If `fprime` is a boolean and is True, `f` is assumed to return the
          value of derivative along with the objective function.
          `fprime` can also be a callable returning the derivative of `f`. In
          this case, it must accept the same arguments as `f`.
      options: dict, optional
          Specifies any method-specific options not covered above
  
      """
      pass
function_tokens: def _root_scalar_newton_doc ( ) : pass