[Numpy-discussion] Numpy Benchmarking

[Keith Goodman]

On 6/27/06, Travis Oliphant <oliphant.travis at ieee.org> wrote:

> The numpy.dual library exists so you can use the SciPy calls if the
> person has SciPy installed or the NumPy ones otherwise.  It exists
> precisely for the purpose of seamlessly taking advantage of
> algorithms/interfaces that exist in NumPy but  are improved in SciPy.

That sounds very interesting. It would make a great addition to the
scipy performance page:

http://scipy.org/PerformanceTips

So if I need any of the following functions I should import them from
scipy or from numpy.dual? And all of them are faster?

fft
ifft
fftn
ifftn
fft2
ifft2
norm
inv
svd
solve
det
eig
eigvals
eigh
eigvalsh
lstsq
pinv
cholesky

http://svn.scipy.org/svn/numpy/trunk/numpy/dual.py