[SciPy-User] Constrained optimization

Hi, The documentation for the constrained optimization routines seems pretty sparse and the googling I did revealed nothing in the way of examples of usage. I defined a function W(q) where q is a vector of length 2. Using fmin obviously fails (too many iterations) but works in the sense that it doesn't outright fail with an error. Using one of the constrained optimizers, fmin_l_bfgs_b for example, completely chokes with the Traceback output at http://pastebin.com/t8tU8YBm. The commands leading to this are: x0=[.1,.1] fmin_l_bfgs_b(W,x0,bounds=[(0,1),(0,1)]) so that the intention is to bound q[0] and q[1] between 0 and 1. Any help with this would be much appreciated. Cheers, Ted