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
 argstuple, optional
Extra arguments passed to the objective function and its derivatives.
 xtolfloat, optional
Tolerance (absolute) for termination.
 rtolfloat, optional
Tolerance (relative) for termination.
 maxiterint, optional
Maximum number of iterations.
 x0float, required
Initial guess.
 fprimebool 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.
 fprime2bool 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