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.

disp: int, 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.