Re: [Numpy-discussion] Question on LinAlg Inverse Algorithm

2011-08-31 Thread Mark Janikas
-boun...@scipy.org] On Behalf Of Bruce Southey Sent: Wednesday, August 31, 2011 11:11 AM To: numpy-discussion@scipy.org Subject: Re: [Numpy-discussion] Question on LinAlg Inverse Algorithm On 08/31/2011 12:56 PM, Mark Janikas wrote: > Right indeed... I have spent a lot of time looking at this and

Re: [Numpy-discussion] Question on LinAlg Inverse Algorithm

2011-08-31 Thread Bruce Southey
n...@scipy.org > [mailto:numpy-discussion-boun...@scipy.org] On Behalf Of Pauli Virtanen > Sent: Wednesday, August 31, 2011 2:00 AM > To: numpy-discussion@scipy.org > Subject: Re: [Numpy-discussion] Question on LinAlg Inverse Algorithm > > On Tue, 30 Aug 2011 15:48:18 -0700, Mark J

Re: [Numpy-discussion] Question on LinAlg Inverse Algorithm

2011-08-31 Thread Mark Janikas
large? Ill poke around. TY! MJ -Original Message- From: numpy-discussion-boun...@scipy.org [mailto:numpy-discussion-boun...@scipy.org] On Behalf Of Pauli Virtanen Sent: Wednesday, August 31, 2011 2:00 AM To: numpy-discussion@scipy.org Subject: Re: [Numpy-discussion] Question on LinAlg

Re: [Numpy-discussion] Question on LinAlg Inverse Algorithm

2011-08-31 Thread Pauli Virtanen
On Tue, 30 Aug 2011 15:48:18 -0700, Mark Janikas wrote: > Last week I posted a question involving the identification of linear > dependent columns of a matrix... but now I am finding an interesting > result based on the linalg.inv() function... sometime I am able to > invert a matrix that has linea

Re: [Numpy-discussion] Question on LinAlg Inverse Algorithm

2011-08-30 Thread Mark Janikas
Message- From: numpy-discussion-boun...@scipy.org [mailto:numpy-discussion-boun...@scipy.org] On Behalf Of Robert Kern Sent: Tuesday, August 30, 2011 4:42 PM To: Discussion of Numerical Python Subject: Re: [Numpy-discussion] Question on LinAlg Inverse Algorithm On Tue, Aug 30, 2011 at 17:48

Re: [Numpy-discussion] Question on LinAlg Inverse Algorithm

2011-08-30 Thread Robert Kern
On Tue, Aug 30, 2011 at 17:48, Mark Janikas wrote: > Hello All, > > Last week I posted a question involving the identification of linear > dependent columns of a matrix… but now I am finding an interesting result > based on the linalg.inv() function… sometime I am able to invert a matrix > that ha

Re: [Numpy-discussion] Question on LinAlg Inverse Algorithm

2011-08-30 Thread Robert Kern
On Tue, Aug 30, 2011 at 18:34, Mark Janikas wrote: > When I export to ascii I am losing precision and it getting consistency... I > will try a flat dump.  More to come.  TY Might as well np.save() it to an .npy binary file and attach it. -- Robert Kern "I have come to believe that the whole w

Re: [Numpy-discussion] Question on LinAlg Inverse Algorithm

2011-08-30 Thread Mark Janikas
PM To: Discussion of Numerical Python Subject: Re: [Numpy-discussion] Question on LinAlg Inverse Algorithm Working on it... Give me a few minutes to get you the data. TY! MJ -Original Message- From: numpy-discussion-boun...@scipy.org [mailto:numpy-discussion-boun...@scipy.org] On

Re: [Numpy-discussion] Question on LinAlg Inverse Algorithm

2011-08-30 Thread Mark Janikas
Subject: Re: [Numpy-discussion] Question on LinAlg Inverse Algorithm Can you give an example matrix? I'm not a numerical linear algebra expert, but I suspect that if your matrix is singular (or nearly so, in floating point) then any inverse given will look pretty wonky. Huge determinant, eigenv

Re: [Numpy-discussion] Question on LinAlg Inverse Algorithm

2011-08-30 Thread Christopher Jordan-Squire
Can you give an example matrix? I'm not a numerical linear algebra expert, but I suspect that if your matrix is singular (or nearly so, in floating point) then any inverse given will look pretty wonky. Huge determinant, eigenvalues, operator norm, etc.. -Chris JS On Tue, Aug 30, 2011 at 5:48 PM,

Re: [Numpy-discussion] Question on LinAlg Inverse Algorithm

2011-08-30 Thread Robert Kern
On Tue, Aug 30, 2011 at 17:48, Mark Janikas wrote: > Hello All, > > Last week I posted a question involving the identification of linear > dependent columns of a matrix… but now I am finding an interesting result > based on the linalg.inv() function… sometime I am able to invert a matrix > that ha

[Numpy-discussion] Question on LinAlg Inverse Algorithm

2011-08-30 Thread Mark Janikas
Hello All, Last week I posted a question involving the identification of linear dependent columns of a matrix... but now I am finding an interesting result based on the linalg.inv() function... sometime I am able to invert a matrix that has linear dependent columns and other times I get the Lin