root_scalar(method=’halley’)¶

scipy.optimize.
root_scalar
(args=(), method='halley', x0=None, options={}) See also
For documentation for the rest of the parameters, see
scipy.optimize.root_scalar
Options:  args : tuple, optional
Extra arguments passed to the objective function and its derivatives.
 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, required
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.
 fprime2 : bool or callable, required
If fprime2 is a boolean and is True, f is assumed to return the value of 1st and 2nd derivatives along with the objective function. fprime2 can also be a callable returning the 2nd derivative of f. In this case, it must accept the same arguments as f.
 options: dict, optional
Specifies any methodspecific options not covered above