#11248: SVD matrix decomposition may return a non-invertible "unitary" matrix
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Reporter: rbeezer | Owner: jason, was
Type: defect | Status: new
Priority: major | Milestone: sage-4.7
Component: linear algebra | Keywords:
Work_issues: | Upstream: N/A
Reviewer: | Author:
Merged: | Dependencies:
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Comment(by rbeezer):
Here are instructions Francois Bissey once sent me for building a Sage
without LAPACK (which worked fine for me on a Linux system). You need to
unpack the numpy spkg, make the edit suggested below and roll up the spkg
with a patch-level one greater (filename and directory name). Then
install {{{sage -i}}} the new package. I then did the {{{sage -b}}} he
suggests, IIRC.
Experiment: Build an LAPACK-less Sage and see if the error persists, or
not.
-----------
I am not 100% certain that it will work as python automagic is quite
strong.
In Numpy's spkg-install add the following line
export {ATLAS,PTATLAS,BLAS,LAPACK,MKL}=None
between
unset CFLAGS
and
python setup.py install ${NUMPY_FCONFIG}
Actually you could throw the ${NUMPY_FCONFIG} bit because it is only
used for lapack (which is a fortran library at heart, although I suspect
numpy uses clapack from ATLAS on finding it).
You rebuild numpy the usual way. Because numpy header and library are used
in quite a few place a "sage -b" is probably a good idea, but it would
possibly work without.
--
Ticket URL: <http://trac.sagemath.org/sage_trac/ticket/11248#comment:18>
Sage <http://www.sagemath.org>
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