On 9/13/11 9:04 AM, Dima Pasechnik wrote:
I was just shown even better example of how bad this can get:
sage: m=matrix(RDF,[[1.24,0.2,2],[2.48,0.4,4],[3.72,0.6,1]])
sage: print m.rank()
3
sage: print m.transpose().rank()
2
it seems that a more robust way here would be to call the LU-decompositio
On Thu, Sep 8, 2011 at 9:07 AM, Jason Grout wrote:
> On 9/8/11 11:00 AM, William Stein wrote:
>>
>> On Thu, Sep 8, 2011 at 8:49 AM, Jason Grout
>> wrote:
>>>
>>> On 9/8/11 10:30 AM, Dima Pasechnik wrote:
we should also add that both A.solve_right and A.solve_left claim to
solve Ax=
On 9/8/11 11:00 AM, William Stein wrote:
On Thu, Sep 8, 2011 at 8:49 AM, Jason Grout wrote:
On 9/8/11 10:30 AM, Dima Pasechnik wrote:
we should also add that both A.solve_right and A.solve_left claim to
solve Ax=b...
Yep. solve_left should be solve_right, IIRC. See
http://trac.sagemath.o
On Thu, Sep 8, 2011 at 8:49 AM, Jason Grout wrote:
> On 9/8/11 10:30 AM, Dima Pasechnik wrote:
>>
>> we should also add that both A.solve_right and A.solve_left claim to
>> solve Ax=b...
>
>
> Yep. solve_left should be solve_right, IIRC. See
> http://trac.sagemath.org/sage_trac/ticket/7852. I t
On 9/8/11 10:30 AM, Dima Pasechnik wrote:
we should also add that both A.solve_right and A.solve_left claim to
solve Ax=b...
Yep. solve_left should be solve_right, IIRC. See
http://trac.sagemath.org/sage_trac/ticket/7852. I think this was an
error from when I did the RDF switch to a numpy
we should also add that both A.solve_right and A.solve_left claim to solve
Ax=b...
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