I am looking into it.

Applying the patch at
http://sage.math.washington.edu/home/pernet/Patches/charpoly_LUK.patch

will disable the current probablistic charpoly algorithm.
This could help diagnose the origin of the bug.

Cheers

Clement

mabshoff a écrit :
> 
> 
> On Jul 17, 10:34 pm, mabshoff <[EMAIL PROTECTED]> wrote:
>> Ok, here is what I found out last night:
>>
>>  * 3.0.3 runs the test 200 times without failing it once
>>  * 3.0.4 with the new FLINT 1.0.13 fails 8 ought of 500 tests.
>>
>> So we are given a couple possibilities:
>>
>>  * There is an algorithmic issue in ssmod somewhere or some
>> algorithmic issue got exposed somehow in 3.0.4+
>>  * There is an undiscovered bug in LinBox
>>  * There is an undiscovered bug in FLINT
>>  * none of the above
>>  * all of the above
> 
> After looking at the code William has conjectured that it is very
> likely charpoly mod p that fails here. We update Linbox in 3.0.3-
>> 3.0.4, so that fits the bill. This issue is now #3671. To debug this
> we can compute the charpoly with LinBox and the generic code for a
> large number of random inputs and compare. According to William the
> speed difference between generic code and LinBox for the example in
> ssmod (32 by 32 matrices) won't be too large.
> 
> If you have any (alternate) theories what goes wrong here please let
> us know.
> 
>> Cheers,
>>
>> Michael
> 
> Cheers,
> 
> Michae
> > 
> 


--~--~---------~--~----~------------~-------~--~----~
To post to this group, send email to sage-devel@googlegroups.com
To unsubscribe from this group, send email to [EMAIL PROTECTED]
For more options, visit this group at http://groups.google.com/group/sage-devel
URLs: http://www.sagemath.org
-~----------~----~----~----~------~----~------~--~---

Reply via email to