On 09/09/2012 02:31 AM, akhil wrote:
> Hello,
>
>
> Given a set of m linear equations in n unknowns, how do I use SAGE to
> give me the coefficient matrix*A*(size m *n) and column vector *b*(size
> m*1) such that Ax = b; where *x*(size n*1) is the vector of unknowns ?
It depends on how those equ
I'm having no luck installing PyWavelets into my 64 bit Sage App on Mac OSX
Snow Leopard.
I've tried to do a direct install of the python source, then I tried the
method from 'Using PyWavelets in Sage' by Marshall Hampton
here's the error I get using the command referenced there:
*/Applicati
Dears members,
I want know if SAGE, used with mpi4py, support distribuited programming i.e
distruited memory for example ...
atte
Juan
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> which isn't bad.
>
>
Exactly, it' s great!
*Thanks a lot, Doug*. You have saved my day. Well, most of next week as a
matter of a fact :-D
Chris
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sage: P. = GF(127)[]
sage: F = Sequence(P.random_element(degree=1) for _ in range(4))
sage: F.coefficient_matrix()
(
[43 97 14 66] [x]
[37 51 74 71] [y]
[16 86 87 71] [z]
[ 8 78 4 70], [1]
)
On Sunday 09 Sep 2012, akhil wrote:
> Hello,
>
>
> Given a set of m linear equations in n unknowns, h
