On Wednesday 12 November 2008, Michel wrote:
> Ok that hint was not sufficient.
>
> What function(s) from the m4ri library would allow me to attack this
> problem?
> How do I express that the solution of the system is supposed to be
> sparse
> (which is a non-linear condition)?
> As far as I can tell there is no real reference manual for m4ri.
>
> Regards,
> Michel
>
> BTW I more or less know how this problem is attacked in characteristic
> zero.
>
> On Nov 12, 11:10 am, Michael Brickenstein <[EMAIL PROTECTED]> wrote:
> > http://m4ri.sagemath.org/performance.html
> >
> > On 12 Nov., 11:07, Michel <[EMAIL PROTECTED]> wrote:
> > > > If the equations are really linear, then it's trivial.
> > >
> > > Ah, can you tell me more?
> > >
> > > Regards,
> > > Michel

Hi there,

I am surprised that this question is addressed to me and not to [sage-devel] 
in general. If I understand correctly, you are not asking  how to solve a 
system of linear equations (this is what Michael referred to  M4RI for) but 
how to express the low hamming weight of the solution.

I don't have an elegant solution. 

One way to express sparsity is to add say quadratic equations of the form x_i* 
x_j = 0 for random i and j with i != j to your equation system. However, this 
approach is very limited. 

Another approach:

sage: A = random_matrix(GF(2),64,782) # 781 + constant coefficient
sage: VS = A.right_kernel() # very slow due to silly reasons
sage: M = VS.basis_matrix() #also slow due to silly reasons

Now the problem is: Is there a linear combination of rows with hamming weight 
smaller than some threshold, right? This smells like a hard problem to me.

You might get lucky though:

sage: mx = M.ncols()
sage: oldr = 0
sage: for r in range(M.nrows()):
...        if sum(map(ZZ,M[r])) < mx:
...            mx = sum(map(ZZ,M[r]))
....           oldr = r
sage: mx
18

Does this help? I suppose I'm only telling you things you already knew.

PS: M4RI does have a reference manual. I think M4RI mainly lacks high-level 
documentation like a tutorial and such.


-- 
name: Martin Albrecht
_pgp: http://pgp.mit.edu:11371/pks/lookup?op=get&search=0x8EF0DC99
_www: http://www.informatik.uni-bremen.de/~malb
_jab: [EMAIL PROTECTED]


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