root_scalar(method=’halley’)#
- scipy.optimize.root_scalar(f, args=(), method=None, bracket=None, fprime=None, fprime2=None, x0=None, x1=None, xtol=None, rtol=None, maxiter=None, options=None)
- 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 method-specific options not covered above.