[EMAIL PROTECTED] wrote:
> I've found a nice implementation of the DLX algorithm, which "quickly" solves 
> the NP-Complete exact cover problem.  For those who aren't in Seattle and 
> haven't heard me blathering on and on and on and on about how awesome DLX 
> is...
> 
> Let M be a binary matrix.  An exact cover is a subset of the rows of the 
> matrix who sum (exactly) to the vector 1,1,...,1.
> 
> For example, an exact cover of
> 
> 1010
> 1100
> 1011
> 0101
> 0111
> 
> is
> 
> 1010
> 0101
> 
> Just now, I've completed wrapping Antti Ajanki's implementation of DLX so 
> that one can easily compute the exact cover of a Sage matrix, and I've 
> constructed a mapping from the graph coloring problem into the exact cover 
> problem.  Further, I've applied that to compute the chromatic number and 
> chromatic polynomial of graphs.  I think there is sufficient interest in this 
> (ref #1313, #1311).
> 
> Arguments for including Ajanki's code:
>     1) It's the only Python implementation of DLX I've seen.
>     2) I emailed the author, who happily added the "or later" bit after the 
> GPL2
>     3) With my Sage Matrix -> DLXMatrix code (plus docstrings to everything I 
> added), the file dlx.py is only 8kB!
>     4) It will resolve tickets #1311 and #1313
> 
> So - I'm thinking this should be added to the combinat directory (of course, 
> the graph-oriented stuff will go into graphs).  I'll file a ticket & some 
> patches today if nobody objects.
>

*Wow*

I'd be really happy with getting chromatic number and chromatic 
polynomial into the graph theory stuff.  I've been sort of embarrassed 
we didn't have it :)

Jason


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