On Thu, Oct 11, 2012 at 10:50 AM, Nicolas Rougier <nicolas.roug...@inria.fr> wrote: > I missed the original post but I personally find this addition especially > useful for my work in computational neuroscience. > > I did something vaguely similar in a small framework (http://dana.loria.fr/, > you can look more specifically at http://dana.loria.fr/doc/connection.html > for details). Examples are available from: http://dana.loria.fr/examples.html > > The actual computation can be made in several ways depending on the > properties of the kernel but the idea is to compute an array "K" such that > given an array "A" and a kernel "k", A*K holds the expected result. This also > work with sparse array for example when the kernel is very small. I suspect > the PR will be quite efficient compared to what I did.
Would the current PR be useful to you if merged as-is? A common pitfall with these sorts of contributions is that we realize only after merging it that there is some tiny detail of the API that makes it not-quite-usable for some people with related problems, so it'd be awesome if you could take a closer look. -n _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
