Hi all,
I have managed to compile numpy using pathscale and ACML on a 64 bit AMD
system. Now I wanted to verify that numpy.dot indeed uses the ACML
libs. The example for dot()
(http://www.scipy.org/Numpy_Example_List?highlight=%28example%29#head-c7a573f030ff7cbaea62baf219599b3976136bac)
suggest a
On Feb 19, 2007, at 11:04 , Robert Kern wrote:
> David Cournapeau wrote:
>> Hi there,
>>
>> I am developing a building tool to automatically build the whole
>> numpy/scipy/matplotlib set from sources including dependencies,
>> and one
>> of the problem I got is to force which blas/lapack ver
Robert Kern wrote:
> David Cournapeau wrote:
>
>> Hi there,
>>
>> I am developing a building tool to automatically build the whole
>> numpy/scipy/matplotlib set from sources including dependencies, and one
>> of the problem I got is to force which blas/lapack version to use when
>> bu
David Cournapeau wrote:
> Hi there,
>
> I am developing a building tool to automatically build the whole
> numpy/scipy/matplotlib set from sources including dependencies, and one
> of the problem I got is to force which blas/lapack version to use when
> building numpy and scipy.
> I
Johannes Loehnert wrote:
> On Monday 19 February 2007 12:06, Sven Schreiber wrote:
>
>> Zachary Pincus schrieb:
>>
>>> Hello all,
>>>
>>> It seems that the 'eigh' routine from numpy.linalg does not follow
>>> the same convention as numpy.linalg.eig in terms of the order of the
>>> returned
Thanks so much. It works.
Lu
Quoting Brian Granger <[EMAIL PROTECTED]>:
> I don't run numpy no linux often, but you shouldn't have any trouble.
> I would do the following:
>
> 1. Blast your current numpy install
>
> rm -rf /usr/local/lib/python2.5/site-packages/numpy
>
> 2. Get the lastest
On Monday 19 February 2007 12:06, Sven Schreiber wrote:
> Zachary Pincus schrieb:
> > Hello all,
> >
> > It seems that the 'eigh' routine from numpy.linalg does not follow
> > the same convention as numpy.linalg.eig in terms of the order of the
> > returned eigenvalues. (And thus eigenvectors as we
Zachary Pincus schrieb:
> Hello all,
>
> It seems that the 'eigh' routine from numpy.linalg does not follow
> the same convention as numpy.linalg.eig in terms of the order of the
> returned eigenvalues. (And thus eigenvectors as well...)
I was told on this list that the ordering should not be
Hello all,
It seems that the 'eigh' routine from numpy.linalg does not follow
the same convention as numpy.linalg.eig in terms of the order of the
returned eigenvalues. (And thus eigenvectors as well...)
Specifically, eig returns eigenvalues in order from largest to
smallest, while eigh ret
