minimize_scalar(method=’brent’)¶
- 
scipy.optimize.minimize_scalar(fun, args=(), method='brent', tol=None, options={'func': None, 'brack': None, 'xtol': 1.48e-08, 'maxiter': 500})
- 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. 
 
 - Notes - Uses inverse parabolic interpolation when possible to speed up convergence of golden section method. 
