root_scalar(method=’newton’)#
- scipy.optimize.root_scalar(args=(), method='newton', 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 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
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.