minimize_scalar(method=’golden’)#
- scipy.optimize.minimize_scalar(fun, args=(), method='golden', tol=None, options={'func': None, 'brack': None, 'xtol': 1.4901161193847656e-08, 'maxiter': 5000, 'disp': 0})
See also
For documentation for the rest of the parameters, see
scipy.optimize.minimize_scalar- Options
- xtolfloat
Relative error in solution xopt acceptable for convergence.
- maxiterint
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.