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Subject: numpy (matrix solver)  python vs. matlab From: someone Date: 29 Apr, 2012 22:17:12 Message: 1 of 18 
Hi, 
Subject: numpy (matrix solver)  python vs. matlab From: Kiuhnm Date: 29 Apr, 2012 22:39:25 Message: 2 of 18 
On 4/30/2012 0:17, someone wrote: 
Subject: numpy (matrix solver)  python vs. matlab From: someone Date: 30 Apr, 2012 00:17:44 Message: 3 of 18 
On 04/30/2012 12:39 AM, Kiuhnm wrote: 
Subject: numpy (matrix solver)  python vs. matlab From: Nasser M. Abbasi Date: 30 Apr, 2012 00:38:15 Message: 4 of 18 
On 04/29/2012 05:17 PM, someone wrote: 
Subject: numpy (matrix solver)  python vs. matlab From: someone Date: 30 Apr, 2012 00:59:18 Message: 5 of 18 
On 04/30/2012 02:38 AM, Nasser M. Abbasi wrote: 
Subject: numpy (matrix solver)  python vs. matlab From: Nasser M. Abbasi Date: 30 Apr, 2012 01:35:54 Message: 6 of 18 
On 04/29/2012 07:59 PM, someone wrote: 
Subject: numpy (matrix solver)  python vs. matlab From: Nasser M. Abbasi Date: 30 Apr, 2012 01:50:10 Message: 7 of 18 
On 04/29/2012 07:17 PM, someone wrote: 
Subject: numpy (matrix solver)  python vs. matlab From: Kiuhnm Date: 30 Apr, 2012 10:37:34 Message: 8 of 18 
On 4/30/2012 2:17, someone wrote: 
Subject: numpy (matrix solver)  python vs. matlab From: Kiuhnm Date: 30 Apr, 2012 10:48:21 Message: 9 of 18 
On 4/30/2012 3:35, Nasser M. Abbasi wrote: 
Subject: numpy (matrix solver)  python vs. matlab From: Russ P. Date: 1 May, 2012 06:56:48 Message: 10 of 18 
On Apr 29, 5:17 pm, someone <newsbo...@gmail.com> wrote: 
Subject: numpy (matrix solver)  python vs. matlab From: Eelco Date: 1 May, 2012 13:26:16 Message: 11 of 18 
There is linalg.pinv, which computes a pseudoinverse based on SVD that 
Subject: numpy (matrix solver)  python vs. matlab From: someone Date: 1 May, 2012 18:49:29 Message: 12 of 18 
On 05/01/2012 08:56 AM, Russ P. wrote: 
Subject: numpy (matrix solver)  python vs. matlab From: someone Date: 1 May, 2012 18:52:49 Message: 13 of 18 
On 04/30/2012 03:35 AM, Nasser M. Abbasi wrote: 
Subject: numpy (matrix solver)  python vs. matlab From: Russ P. Date: 1 May, 2012 20:54:41 Message: 14 of 18 
On May 1, 11:52 am, someone <newsbo...@gmail.com> wrote: 
Subject: numpy (matrix solver)  python vs. matlab From: someone Date: 1 May, 2012 21:21:19 Message: 15 of 18 
On 05/01/2012 10:54 PM, Russ P. wrote: 
Subject: numpy (matrix solver)  python vs. matlab From: Eric Diaz Date: 2 May, 2012 01:11:07 Message: 16 of 18 
Regarding the condition number (K). I'm not an expert but I did put together a presentation with a slide on it. One way of looking at it is how sensitive parameter solutions are to noise. Indeed, when K is high then even the tiniest bit of noise can cause huge changes in parameter estimates. This is, in essence, the gain of sensitivity to relative error in the signal of our fitting model. From my past investigations, I believe that one way to get a practical sense for the impact of your condition number on your parameter estimates is to use the log base 2 of K. This result tells you the "digits of lost precision". So, with a K=1, there is no loss of precision, with a K~50 there is loss of ~5 digits of precision, and with a K~1000 there is loss of ~10 digits of precision. Obviously without precision, there is no reliability in the repeatability of your solution. 
Subject: numpy (matrix solver)  python vs. matlab From: Steven_Lord Date: 2 May, 2012 14:47:57 Message: 17 of 18 

Subject: numpy (matrix solver)  python vs. matlab From: someone Date: 2 May, 2012 20:32:28 Message: 18 of 18 
On 05/02/2012 04:47 PM, Steven_Lord wrote: 
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