that's it exactly.  thanks!

On Friday, 21 February 2014 08:09:27 UTC-3, Andreas Noack Jensen wrote:
>
> Bitstypes and algebra are not my home ground, but the lufact that Tim 
> references is supposed to work generically and I think it does. Have a look 
> at
>
> https://gist.github.com/andreasnoackjensen/9132511
>
> I am not sure the algebra is right. The important thing for lufact is that 
> that the type is closed under /. Therefore I use rationals over GF(2). 
> Maybe it is better just to define / for GF2.
>
>
> 2014-02-21 4:11 GMT+01:00 Stefan Karpinski <[email protected]<javascript:>
> >:
>
>> Yes, it's entirely possible that his might work for matrices over finite 
>> fields. If not, we should see if we can modify it so that it does work.
>>
>>
>> On Thu, Feb 20, 2014 at 10:02 PM, Tim Holy <[email protected]<javascript:>
>> > wrote:
>>
>>> It's not Gaussian elimination (it's better!), but aren't these relevant?
>>> https://github.com/JuliaLang/julia/pull/5381
>>> https://github.com/JuliaLang/julia/pull/5430
>>>
>>> --Tim
>>>
>>> On Thursday, February 20, 2014 09:12:51 PM Stefan Karpinski wrote:
>>> > We ought to have a generic Gaussian elimination algorithm and making 
>>> sure
>>> > that it can be used for finite fields is a good test of its generality.
>>> > This is definitely the kind of thing that can be more reasonably in 
>>> Julia
>>> > than in many other systems. The big difference is that while in this
>>> > particular case you may have to write Gaussian elimination, at least 
>>> the
>>> > next person with their own integer matrix type won't.
>>> >
>>> > On Thu, Feb 20, 2014 at 7:29 PM, andrew cooke 
>>> > <[email protected]<javascript:>> 
>>> wrote:
>>> > > Indeed, but then I need to provide my own implementation.  I was 
>>> hoping
>>> > > (navely in retrospect, since everyone else wants fast rather than 
>>> generic
>>> > > code) that I could call generic code for "matrix division" with a new
>>> > > numerical type and it would "just work".
>>> > >
>>> > > I think this is still the best approach - but I need to write that 
>>> code
>>> > > (Gaussian elimination) myself, in a generic way, then define my new
>>> > > numeric
>>> > > type, then call it.
>>> > >
>>> > > Which is much more work than I had hoped.
>>> > >
>>> > > Cheers,
>>> > > Andrew
>>> > >
>>> > > On Thursday, 20 February 2014 21:14:38 UTC-3, Patrick O'Leary wrote:
>>> > >> You can redefine the \ operator for your type to not do this.
>>> > >>
>>> > >> On Thursday, February 20, 2014 6:08:31 PM UTC-6, andrew cooke wrote:
>>> > >>> While I still don't see a problem with the theory side of this, 
>>> there is
>>> > >>> a practical problem - Gaussian Elimination in Julia seems to be
>>> > >>> delegated
>>> > >>> to LAPACK and arguments are promoted to Float:
>>> > >>>
>>> > >>> julia> [1 0; 0 1] \ [1, 2]
>>> > >>>
>>> > >>> 2-element Array{Float64,1}:
>>> > >>>  1.0
>>> > >>>  2.0
>>> > >>>
>>> > >>> Andrew
>>> > >>>
>>> > >>> On Thursday, 20 February 2014 19:45:28 UTC-3, andrew cooke wrote:
>>> > >>>> A broad and a narrow question...
>>> > >>>>
>>> > >>>> If Julia supports the definition of new integer types can I 
>>> define a
>>> > >>>> new type for a finite field and then use existing linear algebra
>>> > >>>> libraries
>>> > >>>> to do maths with them?  Could I define an integer type for 
>>> polynomials?
>>> > >>>>  Is
>>> > >>>> this the kind of thing that would work in theory but not in 
>>> practice?
>>> > >>>> Has
>>> > >>>> anyone done this?
>>> > >>>>
>>> > >>>> Specifically, I need to solve a problem modulo 2 (GF(2) - 
>>> addition and
>>> > >>>> subtraction are XOR; multiplication is AND; division is trivial). 
>>>  I
>>> > >>>> was
>>> > >>>> about to write my own Gaussian Elimination and then remembered a
>>> > >>>> comment
>>> > >>>> from here saying Julia is the first language where you can define 
>>> new
>>> > >>>> integers...
>>> > >>>>
>>> > >>>> Am I talking rubbish?  I'm not a mathematician, so I may be 
>>> completely
>>> > >>>> muddled anyway.
>>> > >>>>
>>> > >>>> Thanks,
>>> > >>>> Andrew
>>> > >>>>
>>> > >>>> PS I guess for best speed I should use a Uint for my 0s and 1s?
>>> > >>>> Assuming the problem is small enough that it will still fit in 
>>> cache?
>>>
>>
>>
>
>
> -- 
> Med venlig hilsen
>
> Andreas Noack Jensen
>  

Reply via email to