SciPy

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.

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