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 precision. I
have tried gmpy, bigfloat, mpm
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 allowi
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
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:
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> > > What do you mean by "arbitrary preci
On Mar 2, 11:28 am, Robin Becker wrote:
> On 02/03/2011 16:39, Ben123 wrote:
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> >> Languages can't support infinitely large or small numbers, so try to
> >> multiply the inner variables by 10^n to increase their value
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. Speci
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. Speci
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),
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:
> >> &g
