# 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
    maxiter int

      Maximum number of iterations to perform.

    xtol float

      Relative error in solution xopt acceptable for convergence.

  Notes

  Uses inverse parabolic interpolation when possible to speed up convergence of golden section method.

scipy.optimize.minimize_scalar minimize_scalar(method=’bounded’)