When running the following
from scipy.optimize import rosen, rosen_der, rosen_hess
bounds = [(0,1.6), (0, 1.6), (0, 1.4), (0, 1.4), (0, 1.4)]
result = scipy.optimize.shgo(rosen, bounds, options={'jac':rosen_der,'hess':rosen_hess})
I get
TypeError: _minimize_slsqp() got multiple values for argument 'jac'
I believe that jac is correctly specified here (see this documentation). Did I make a mistake or is there a bug here?