On Wed, Oct 15, 2008 at 15:21, Charles R Harris <[EMAIL PROTECTED]> wrote: > > On Wed, Oct 15, 2008 at 2:04 PM, Robert Kern <[EMAIL PROTECTED]> wrote: >> >> On Wed, Oct 15, 2008 at 14:49, Charles R Harris >> <[EMAIL PROTECTED]> wrote: >> > >> > On Wed, Oct 15, 2008 at 1:06 PM, Robert Kern <[EMAIL PROTECTED]> >> > wrote: >> >> >> >> On Wed, Oct 15, 2008 at 00:23, Charles R Harris >> >> <[EMAIL PROTECTED]> wrote: >> >> > Hi All, >> >> > >> >> > numpy.linalg has qr and cholesky factorizations, but LU factorization >> >> > is >> >> > only available in scipy. That doesn't seem quite right. I think is >> >> > would >> >> > make sense to include the LU factorization in numpy among the basic >> >> > linalg >> >> > operations, and probably LU_solve also. Thoughts? >> >> >> >> -1. As far as I am concerned, numpy.linalg exists because Numeric had >> >> LinearAlgebra, and we had to provide it to allow people to upgrade. I >> >> do not want to see an expansion of functionality to maintain. >> > >> > I would be happier with that argument if scipy was broken into >> > separately >> > downloadable modules and released on a regular schedule. >> >> Then that is the deficiency that we should spend time on, not >> duplicating the functionality again. > > Should we break out the linear algebra part of scipy and make it a separate > package? I suspect that would add to the build burden, because we would then > have a new package to maintain and release binaries for. I don't see the > problem with having a bit of linear algebra as part of the numpy base > package.
Which bits? The current set has worked fine for more than 10 years. Where do we stop? There will always be someone who wants just one more function. And a case can always be made that adding just that function is reasonable. -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
