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.