On Thu, Mar 17, 2011 at 1:34 AM, Øyvind Jensen <jensen.oyv...@gmail.com> wrote:
> ma., 14.03.2011 kl. 11.00 -0700, skrev Ondrej Certik:
>> On Mon, Mar 14, 2011 at 3:11 AM, Øyvind Jensen <jensen.oyv...@gmail.com>
>> wrote:
>> > Alexander, All,
>> >
>> > How is it going with your tensor implementation? I put together some
>> > code to implement variance of tensors and uploaded it to github in my
>> > tensor_contractions branch [0]. If you would like to build on that,
>> > feel free to do so. If you have already made your own implementation,
>> > please just choose whatever works best for your framework.
>> >
>> > Here is how it works in the advertised branch:
>> >
>> > >>> A = IndexedBase('A')
>> > >>> i = VarIdx('i')
>> > >>> A[i.up, i.down]
>> > A[^i, _i]
>> > >>> get_indices(A[i.up, i.down])
>> > (set(), {})
>> > >>> get_indices(A[i.up, j.down]*x[j.up])
>> > (set([^i]), {})
>>
>> This is great! Once either of these implementations is in sympy, I'll
>> update the relativity example to use it.
>
> That would be very cool! What would be a good way to connect the
> abstract tensor objects to its concrete representations? Perhaps
> something like sympy.utilities.implemented_function could work?
Can you say more about what you are thinking. In the quantum stuff we
now have the notion of abstract objects and then concrete
representations (in a particular basis). Would this type of thing
cary over here?
Brian
> Øyvind
>
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--
Brian E. Granger, Ph.D.
Assistant Professor of Physics
Cal Poly State University, San Luis Obispo
bgran...@calpoly.edu
elliso...@gmail.com
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