minimize_scalar(method=’brent’)#
- scipy.optimize.minimize_scalar(fun, bracket=None, bounds=None, args=(), method=None, tol=None, options=None)
- See also - For documentation for the rest of the parameters, see - scipy.optimize.minimize_scalar- Options:
- ——-
- maxiterint
- Maximum number of iterations to perform. 
- xtolfloat
- Relative error in solution xopt acceptable for convergence. 
- dispint, 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.
 
 - Notes - Uses inverse parabolic interpolation when possible to speed up convergence of golden section method.