"James Stroud" wrote:
> James Stroud wrote:
> [pointless stuff]
>
> OK. Nevermind. I'm rebinding encodings and so taking a sample from the
> sample and thus getting the sample back. Terribly sorry.
There is truly nothing to be sorry about.
It takes guts to come right out and say that you made
Hi James
Mathematica says that the determinant of the integer version of this
matrix is 2774532096, which is another vote for the answer you have.
Mathematica says that the determinant of the 24-digit real version of
your matrix is 2.774532096*10^9, which looks very similar to me.
I'd go with Nu
James Stroud wrote:
> If I run it again on 10 (or 1000) the set is basically homogenous
> but now of different values (terribly confusing):
>
> set([12048175104.1, 12048175104.15, 12048175104.46,
> 12048175103.94, 12048175104.23, 12048175103.81,
> 12048175103.98, 12048
James Stroud wrote:
[pointless stuff]
OK. Nevermind. I'm rebinding encodings and so taking a sample from the
sample and thus getting the sample back. Terribly sorry.
James
--
http://mail.python.org/mailman/listinfo/python-list
Steven D'Aprano wrote:
[Valuable Response]
Thank you Steven for your helpful comments. Please see my reply to
Bjoern Schliessmann where I have restated my problem.
James
--
http://mail.python.org/mailman/listinfo/python-list
Hello,
Thank you to those who responded for your answers. They were very
helpful and I'm confident now that numpy is calculating accurate
determinants for these matrices.
But I think I need to restate my problem a little as suggested by some
becuase I'm still bewildered.
First, here is the re
On Wed, 06 Jun 2007 04:10:43 -0700, James Stroud wrote:
> Hello All,
>
> I'm using numpy to calculate determinants of matrices that look like
> this (13x13):
[snip matrix]
> For this matrix, I'm getting this with numpy:
>
> 2774532095.971
>
> But I have a feeling I'm exceeding the capa
James Stroud wrote:
> For this matrix, I'm getting this with numpy:
>
> 2774532095.971
>
> But I have a feeling I'm exceeding the capacity of floats here.
> Does anyone have an idea for how to treat this?
Not if you don't state your requirements more precisely. E. g. what
precision do you n
James Stroud wrote:
> I'm using numpy to calculate determinants of matrices that look like
> this (13x13):
>
> [[ 0. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
> [ 1. 0. 1. 4. 1. 9. 4. 4. 1. 1. 4. 9. 4. 9.]
> [ 1. 1. 0. 1. 4. 4. 9. 9. 4. 4. 1. 4. 1. 4.]
>
James Stroud wrote:
> Hello All,
>
> I'm using numpy to calculate determinants of matrices that look like
> this (13x13):
>
> [[ 0. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
> [ 1. 0. 1. 4. 1. 9. 4. 4. 1. 1. 4. 9. 4. 9.]
> [ 1. 1. 0. 1. 4. 4. 9. 9. 4. 4. 1.
James Stroud wrote:
> Hello All,
>
> I'm using numpy to calculate determinants of matrices that look like
> this (13x13):
>
> [[ 0. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
[snip]
> But I have a feeling I'm exceeding the capacity of floats here. Does
> anyone have an idea for how to
On Jun 6, 6:47 am, Tommy Nordgren <[EMAIL PROTECTED]> wrote:
> On 6 jun 2007, at 13.10, James Stroud wrote:
>
>
>
> > Hello All,
>
> > I'm using numpy to calculate determinants of matrices that look like
> > this (13x13):
>
> > [[ 0. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
> > [ 1.
James Stroud je napisao/la:
> Hello All,
>
> I'm using numpy to calculate determinants of matrices that look like
> this (13x13):
>
> [[ 0. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
> [ 1. 0. 1. 4. 1. 9. 4. 4. 1. 1. 4. 9. 4. 9.]
> [ 1. 1. 0. 1. 4. 4. 9. 9. 4. 4
On 6 jun 2007, at 13.10, James Stroud wrote:
> Hello All,
>
> I'm using numpy to calculate determinants of matrices that look like
> this (13x13):
>
> [[ 0. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
> [ 1. 0. 1. 4. 1. 9. 4. 4. 1. 1. 4. 9. 4. 9.]
> [ 1. 1. 0. 1. 4.
Hello All,
I'm using numpy to calculate determinants of matrices that look like
this (13x13):
[[ 0. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
[ 1. 0. 1. 4. 1. 9. 4. 4. 1. 1. 4. 9. 4. 9.]
[ 1. 1. 0. 1. 4. 4. 9. 9. 4. 4. 1. 4. 1. 4.]
[ 1. 4. 1. 0. 9.
15 matches
Mail list logo