On Mar 2, 1:34 pm, geremy condra wrote:
> On Wed, Mar 2, 2011 at 10:47 AM, Ben123 wrote:
> > On Mar 2, 12:22 pm, geremy condra wrote:
> >> On Wed, Mar 2, 2011 at 10:21 AM, geremy condra wrote:
> >> > On Wed, Mar 2, 2011 at 6:42 AM, Ben123 wrote:
> >> >> Hello. I have a written Python program w
On Mar 2, 4:48 pm, Nobody wrote:
> On Wed, 02 Mar 2011 06:42:22 -0800, Ben123 wrote:
> > Hello. I have a written Python program which currently uses numpy to
> > perform linear algebra operations. Specifically, I do matrix*matrix,
> > matrix*vector, numpy.linalg.inv(matrix), and linalg.eig(matrix)
On Wed, 02 Mar 2011 06:42:22 -0800, Ben123 wrote:
> Hello. I have a written Python program which currently uses numpy to
> perform linear algebra operations. Specifically, I do matrix*matrix,
> matrix*vector, numpy.linalg.inv(matrix), and linalg.eig(matrix)
> operations. Now I am interested in all
Ben123 writes:
> I'll ask on the Sage forums about this. In the mean time, I'm still
> trying to get arbitrary precision linear algebra in Python
You probably have to use something like gmpy.mpq to implement your
favorite eigenvalue computation algorithm. Maxima might be able to do
it out of the
On Wed, Mar 2, 2011 at 10:47 AM, Ben123 wrote:
> On Mar 2, 12:22 pm, geremy condra wrote:
>> On Wed, Mar 2, 2011 at 10:21 AM, geremy condra wrote:
>> > On Wed, Mar 2, 2011 at 6:42 AM, Ben123 wrote:
>> >> Hello. I have a written Python program which currently uses numpy to
>> >> perform linear a
On Mar 2, 12:22 pm, geremy condra wrote:
> On Wed, Mar 2, 2011 at 10:21 AM, geremy condra wrote:
> > On Wed, Mar 2, 2011 at 6:42 AM, Ben123 wrote:
> >> Hello. I have a written Python program which currently uses numpy to
> >> perform linear algebra operations. Specifically, I do matrix*matrix,
>
On Mar 2, 12:22 pm, geremy condra wrote:
> On Wed, Mar 2, 2011 at 10:21 AM, geremy condra wrote:
> > On Wed, Mar 2, 2011 at 6:42 AM, Ben123 wrote:
> >> Hello. I have a written Python program which currently uses numpy to
> >> perform linear algebra operations. Specifically, I do matrix*matrix,
>
On Wed, Mar 2, 2011 at 10:21 AM, geremy condra wrote:
> On Wed, Mar 2, 2011 at 6:42 AM, Ben123 wrote:
>> Hello. I have a written Python program which currently uses numpy to
>> perform linear algebra operations. Specifically, I do matrix*matrix,
>> matrix*vector, numpy.linalg.inv(matrix), and lin
On Wed, Mar 2, 2011 at 6:42 AM, Ben123 wrote:
> Hello. I have a written Python program which currently uses numpy to
> perform linear algebra operations. Specifically, I do matrix*matrix,
> matrix*vector, numpy.linalg.inv(matrix), and linalg.eig(matrix)
> operations. Now I am interested in allowin
On Mar 2, 11:28 am, Robin Becker wrote:
> On 02/03/2011 16:39, Ben123 wrote:
> ...
>
>
>
>
>
>
>
> >> Languages can't support infinitely large or small numbers, so try to
> >> multiply the inner variables by 10^n to increase their values if this
> >> will not involve on the method. For exa
> Are you saying python cares whether I express a number as 0.001 or
> scaled by 10^5 to read 100? If this is the case, I'm still stuck. I
> need the full range of eigenvalues from 1 to 1E-300, so the entire
> range could be scaled by 1E300 but I would still need better precision
> than 1E19
If py
On 02/03/2011 16:39, Ben123 wrote:
...
Languages can't support infinitely large or small numbers, so try to
multiply the inner variables by 10^n to increase their values if this
will not involve on the method. For example, I did this when was
calculating geometric means of computer benchm
On Mar 2, 10:21 am, Arthur Mc Coy <1984docmc...@gmail.com> wrote:
> On Mar 2, 5:26 pm, Ben123 wrote:
>
>
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>
>
>
>
>
>
> > On Mar 2, 9:04 am, Arthur Mc Coy <1984docmc...@gmail.com> wrote:
>
> > > What do you mean by "arbitrary precision" ? Each method of calculating
> > > of something has its own
On Mar 2, 5:26 pm, Ben123 wrote:
> On Mar 2, 9:04 am, Arthur Mc Coy <1984docmc...@gmail.com> wrote:
>
> > What do you mean by "arbitrary precision" ? Each method of calculating
> > of something has its own precision...
>
> If you are unfamiliar with arbitrary precision, I'm referring
> tohttp://e
On Mar 2, 9:04 am, Arthur Mc Coy <1984docmc...@gmail.com> wrote:
> What do you mean by "arbitrary precision" ? Each method of calculating
> of something has its own precision...
If you are unfamiliar with arbitrary precision, I'm referring to
http://en.wikipedia.org/wiki/Arbitrary-precision_arithm
What do you mean by "arbitrary precision" ? Each method of calculating
of something has its own precision...
--
http://mail.python.org/mailman/listinfo/python-list
On Mar 2, 8:42 am, Ben123 wrote:
> Hello. I have a written Python program which currently uses numpy to
> perform linear algebra operations. Specifically, I do matrix*matrix,
> matrix*vector, numpy.linalg.inv(matrix), and linalg.eig(matrix)
> operations. Now I am interested in allowing arbitrary p
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