minimize_scalar(method=’bounded’)¶
-
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
Options: - 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.