`scipy.optimize._optimize:_minimize_scalar_brent`

source: /scipy/optimize/_optimize.py :2700

Signature

   def     _minimize_scalar_brent (    func    ,    brack    =  None   ,    args    =  ()   ,    xtol    =  1.48e-08   ,    maxiter    =  500   ,    disp    =  0   ,   ** unknown_options      )

Parameters

maxiter : int

Maximum number of iterations to perform.

xtol : float

Relative error in solution xopt acceptable for convergence.

disp : int, optional

If non-zero, print messages.

0no message printing.

1non-convergence notification messages only.

2print a message on convergence too.

3print iteration results.

Notes

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

Aliases

scipy.optimize._minimize._minimize_scalar_brent