On Sun, Aug 14, 2011 at 09:15:35PM +0200, Charanpal Dhanjal wrote:
> Incidentally, I am confused as to why numpy calls the lapack lite
> routines - when I call numpy.show_config() it seems to have detected my
> ATLAS libraries and I would have expected it to use those.
My rule of thumb is to nev
Thanks very much Lou for the information. I tried delving into the C
code and found a line in the dlasd4_ routine which reads:
for (niter = iter; niter <= MAXITERLOOPS; ++niter) {
This is apparently the main loop for this subroutine and the value of
MAXITERLOOPS = 100. All I did was increase th
Chuck wrote:
Fails here also, fedora 15 64 bits AMD 940. There should be a maximum
iterations argument somewhere...
Chuck
---
*** Here's the "FIX":
Chuck is right. There is a max iterations. Here is a re
I had a quick look at the code
(https://github.com/numpy/numpy/blob/master/numpy/linalg/linalg.py) and
the numpy.linalg.svd function calls lapack_lite.dgesdd (for real
matrices) so I guess the non-convergence occurs in this function. As I
understood lapack_lite is used by default unless numpy i
On Thu, Aug 11, 2011 at 7:23 AM, wrote:
> Hi all,
>
> I get an error message "numpy.linalg.linalg.LinAlgError: SVD did not
> converge" when calling numpy.linalg.svd on a "clean" matrix of size (1952,
> 895). The matrix is clean in the sense that it contains no NaN or Inf
> values. The correspondi
: 12 August 2011 16:33
To: Discussion of Numerical Python
Subject: Re: [Numpy-discussion] SVD does not converge on "clean" matrix
On Fri, Aug 12, 2011 at 4:03 AM, Charanpal Dhanjal
mailto:dhan...@telecom-paristech.fr>> wrote:
Thank Nadav for testing out the matrix. I wonder if you
Aug 2011 07:21:09 -0700
> From: Nadav Horesh
> Subject: Re: [Numpy-discussion] SVD does not converge on "clean"
> matrix
> To: Discussion of Numerical Python
> Message-ID:
>
> <26FC23E7C398A64083C980D16001012D246DFC5F90@VA3DIAXVS361.RED001.local>
> Conte
umpy 1.5.1 (without ATLAS), and so the reasons for
the differences seem to be OS or processor dependent. Any ideas?
Charanpal
Date: Thu, 11 Aug 2011 07:21:09 -0700
From: Nadav Horesh
Subject: Re: [Numpy-discussion] SVD does not converge on "clean"
matrix
To: Discussion of Numerica
...@telecom-paristech.fr]
Sent: 11 August 2011 16:23
To: numpy-discussion@scipy.org
Subject: [Numpy-discussion] SVD does not converge on "clean" matrix
Hi all,
I get an error message "numpy.linalg.linalg.LinAlgError: SVD did not
converge" when calling numpy.linalg.svd on a "cl
Hi all,
I get an error message "numpy.linalg.linalg.LinAlgError: SVD did not
converge" when calling numpy.linalg.svd on a "clean" matrix of size (1952,
895). The matrix is clean in the sense that it contains no NaN or Inf
values. The corresponding npz file is available here:
https://docs.google.co
Pecora)
>
>
> ------
>
> Message: 1
> Date: Tue, 28 Jun 2011 10:56:48 -0500
> From: santhu kumar
> Subject: [Numpy-discussion] SVD does not converge
> To: numpy-discussion@scipy.org
> Message-ID:
> Co
On Tue, Jun 28, 2011 at 11:36 AM, eat wrote:
> Hi,
>
> On Tue, Jun 28, 2011 at 7:43 PM, Lou Pecora wrote:
>
>>
>> --
>> *From:* santhu kumar
>> *To:* numpy-discussion@scipy.org
>> *Sent:* Tue, June 28, 2011 11:56:48 AM
>
Hi,
On Tue, Jun 28, 2011 at 7:43 PM, Lou Pecora wrote:
>
> --
> *From:* santhu kumar
> *To:* numpy-discussion@scipy.org
> *Sent:* Tue, June 28, 2011 11:56:48 AM
> *Subject:* [Numpy-discussion] SVD does not converge
>
> Hello,
>
> I hav
From: santhu kumar
To: numpy-discussion@scipy.org
Sent: Tue, June 28, 2011 11:56:48 AM
Subject: [Numpy-discussion] SVD does not converge
Hello,
I have a 380X5 matrix and when I am calculating pseudo-inverse of the matrix
using pinv(numpy.linalg) I get the
Hi,
On Tue, 2011-06-28 at 10:56 -0500, santhu kumar wrote:
> Hello,
>
> I have a 380X5 matrix and when I am calculating pseudo-inverse of the
> matrix using pinv(numpy.linalg) I get the following error message:
>
> raise LinAlgError, 'SVD did not converge'
> numpy.linalg.linalg.LinAlgError: SVD
On Tue, Jun 28, 2011 at 9:56 AM, santhu kumar wrote:
> Hello,
>
> I have a 380X5 matrix and when I am calculating pseudo-inverse of the
> matrix using pinv(numpy.linalg) I get the following error message:
>
> raise LinAlgError, 'SVD did not converge'
> numpy.linalg.linalg.LinAlgError: SVD did not
Hello,
I have a 380X5 matrix and when I am calculating pseudo-inverse of the matrix
using pinv(numpy.linalg) I get the following error message:
raise LinAlgError, 'SVD did not converge'
numpy.linalg.linalg.LinAlgError: SVD did not converge
I have looked in the list that it is a recurring issue b
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