root_scalar(method=’newton’)#
- 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 derivative.
- 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, optional
Iffprime is a boolean and is True,f is assumed to return thevalue of derivative along with the objective function.fprime can also be a callable returning the derivative off. Inthis case, it must accept the same arguments asf.
- options: dict, optional
Specifies any method-specific options not covered above.