scipy.optimize.minimize_scalar(fun, bounds=None, args=(), method='bounded', tol=None, options={'func': None, 'xatol': 1e-05, 'maxiter': 500, 'disp': 0})

See also

For documentation for the rest of the parameters, see scipy.optimize.minimize_scalar

maxiter : int

Maximum number of iterations to perform.

disp: int, optional
If non-zero, print messages.

0 : no message printing. 1 : non-convergence notification messages only. 2 : print a message on convergence too. 3 : print iteration results.

xatol : float

Absolute error in solution xopt acceptable for convergence.