On Wed, Jun 23, 2010 at 2:17 PM, Robert Kern wrote:
> On Wed, Jun 23, 2010 at 13:25, Salim, Fadhley (CA-CIB)
> wrote:
> > I've been investigating a truly bizarre bug related to the use of
> > numpy.linalg.eig.
> >
> > I have two classes which both use numpy.linalg.eig. These classes are
> > used
On Wed, Jun 23, 2010 at 13:25, Salim, Fadhley (CA-CIB)
wrote:
> I've been investigating a truly bizarre bug related to the use of
> numpy.linalg.eig.
>
> I have two classes which both use numpy.linalg.eig. These classes are
> used at very different times and are not connected in any way other than
Is it not possible to update your versions to see if that solves the
problem?
DG
On Wed, Jun 23, 2010 at 11:25 AM, Salim, Fadhley (CA-CIB) <
fadhley.sa...@ca-cib.com> wrote:
> I've been investigating a truly bizarre bug related to the use of
> numpy.linalg.eig.
>
> I have two classes which both
I've been investigating a truly bizarre bug related to the use of
numpy.linalg.eig.
I have two classes which both use numpy.linalg.eig. These classes are
used at very different times and are not connected in any way other than
the fact that they both share this particular dependancy.
I have foun
[I am resending this as the previous attempt seems to have failed]
Hello List,
I am looking at memory errors when using numpy.linalg.eig().
Short version:
I had memory errors in numpy.linalg.eig(), and I have reasons (valgrind)
to believe these are due to writing to incorrect memory addresses i
: 15 September 2008 17:39
> To: Discussion of Numerical Python
> Subject: Re: [Numpy-discussion] numpy.linalg.eig
>
> On Mon, Sep 15, 2008 at 09:50, Tommy Carstensen <[EMAIL PROTECTED]>
> wrote:
> > To the numpy mailing list,
> >
> > Previously I used python2.3
-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of Robert Kern
Sent: 15 September 2008 17:39
To: Discussion of Numerical Python
Subject: Re: [Numpy-discussion] numpy.linalg.eig
On Mon, Sep 15, 2008 at 09:50, Tommy Carstensen <[EMAIL PROTECTED]>
wrote:
> To the numpy mai
On Mon, Sep 15, 2008 at 09:50, Tommy Carstensen <[EMAIL PROTECTED]> wrote:
> To the numpy mailing list,
>
> Previously I used python2.3 and the module LinearAlgebra for matrix
> diagonalization. I recently upgraded to python2.5 and I am now using
> numpy.linalg.eig for matrix diagonalization. This
To the numpy mailing list,
Previously I used python2.3 and the module LinearAlgebra for matrix
diagonalization. I recently upgraded to python2.5 and I am now using
numpy.linalg.eig for matrix diagonalization. This is approximately 3 times
slower than previously. I am using the same work station as
