I recently ran into an application where I had to compute many inner products
quickly (roughy 50k inner products in less than a second). I wanted a vector of
inner products over the 50k vectors, or `[x1.T @ A @ x1, …, xn.T @ A @ xn]`
with A.shape = (1k, 1k).
My first instinct was to look for a
These still are missing from the SciPy.org page, several months after the
release.
What do we need to do to keep these updated? Is there someone at Enthought
we should ping? Or do we really just need to transition to different
infrastructure?
___
On Fr, 2016-05-27 at 22:51 +0200, Lion Krischer wrote:
> Hi all,
>
> I was told to take this to the mailing list. Relevant pull request:
> https://github.com/numpy/numpy/pull/7686
>
>
> NumPy's FFT implementation caches some form of execution plan for
> each
> encountered input data length.
