[Numpy-discussion] NumPy/SciPy LAPACK version

[Matthieu Brucher]

Oups, sorry, I missed the 'a=matrix'...

2007/7/16, Matthieu Brucher <matthieu.brucher at gmail.com>:
>
> Hi,
>
> Did you try numpy.dot(sqrtm(a), sqrtm(a)) ?
>
> Matthieu
>
> 2007/7/16, Kevin Jacobs <jacobs at bioinformed.com> < bioinformed at gmail.com>:
> >
> > Hi all,
> >
> > This is a bit of a SciPy question, but I thought I'd ask here since I'm
> > already subscribed.  I'd like to add some new LAPACK bindings to SciPy and
> > was wondering if there was a minimum version requirement for LAPACK, since
> > it would be ideal if I could use some of the newer 3.0 features.  In
> > addition to using some block methods only added in 3.0, it is very
> > convenient to use the WORK=-1 for space queries instead of reimplementing
> > the underlying logic in the calc_work module.
> >
> > The routines of most interest to me are:
> > DGELSD
> > DGGGLM
> > DGGLSE
> >
> > I've also found that SciPy's sqrtm is broken:
> >
> > >>> a=matrix([[59, 64, 69],
> >         [64, 72, 80],
> >         [69, 80, 91]])
> > >>> sqrtm(a)
> > array([[ 5.0084801  +1.03420519e-08j,  4.40747825 -2.06841037e-08j,
> >          3.8064764  +1.03420519e-08j],
> >        [ 4.40747825 -2.06841037e-08j,  4.88353492 +4.13682075e-08j,
> >          5.3595916  -2.06841037e-08j],
> >        [ 3.8064764  +1.03420519e-08j,  5.3595916  -2.06841037e-08j,
> >          6.9127068  +1.03420519e-08j]])
> > >>> sqrtm(a)*sqrtm(a)
> > array([[ 25.08487289 +1.03595922e-07j,  19.42586452 -1.82329475e-07j,
> >          14.48926259 +7.87335527e-08j],
> >        [ 19.42586452 -1.82329475e-07j,  23.84891336 +4.04046172e-07j,
> >          28.72522212 -2.21716697e-07j],
> >        [ 14.48926259 +7.87335527e-08j,  28.72522212 -2.21716697e-07j,
> >          47.78551529 +1.42983144e-07j]])
> >
> > So not even close...  (and yes, it does deserve a bug report if one
> > doesn't already exist)
> >
> > -Kevin
> >
> >
> > _______________________________________________
> > Numpy-discussion mailing list
> > Numpy-discussion at scipy.org
> > http://projects.scipy.org/mailman/listinfo/numpy-discussion
> >
> >
>
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