[Coin-ipopt] Wrapper SciPy Ipopt
Andreas Waechter
andreasw at watson.ibm.com
Sat May 19 13:44:48 EDT 2007
Hi Nils,
To my knowledge, nobody has written a SciPy interface to Ipopt, but about
two years ago I corresponded with someone who was interested in writing
it. If you feel up to writing one, go ahead and contribute :)
Cheers,
Andreas
On Sat, 5 May 2007, Nils Wagner wrote:
> Hi all,
>
> I am wondering if there exists a SciPy interface to Ipopt.
> See http://www.scipy.org for details.
>
> Scipy comes with a collection of general-purpose optimization routines such
> as
>
> fmin -- Nelder-Mead Simplex algorithm
> (uses only function calls)
> fmin_powell -- Powell's (modified) level set method (uses only
> function calls)
> fmin_cg -- Non-linear (Polak-Ribiere) conjugate gradient algorithm(can
> use function and gradient).
>
> fmin_bfgs -- Quasi-Newton method (Broydon-Fletcher-Goldfarb-Shanno);(can
> use function and gradient)
>
> fmin_ncg -- Line-search Newton Conjugate Gradient (can use function,
> gradient and Hessian).
>
> leastsq -- Minimize the sum of squares of M equations in N unknowns
> given a starting estimate.
>
>
> Constrained Optimizers (multivariate)
>
> fmin_l_bfgs_b -- Zhu, Byrd, and Nocedal's L-BFGS-B constrained optimizer
> (if you use this please quote their papers -- see help)
>
> fmin_tnc -- Truncated Newton Code originally written by Stephen Nash and
> adapted to C by Jean-Sebastien Roy.
>
> fmin_cobyla -- Constrained Optimization BY Linear approximation
>
>
> Global Optimizers
>
> anneal -- Simulated Annealing
> brute -- Brute force searching optimizer
>
> Nils
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