Or is it better to have a Call() or Apply() object?

On 1 November 2012 18:55, Stefan Krastanov <[email protected]> wrote:
> for instance, is this good enough
>
> class MatrixFunction(MatSymbol):
>     def call(self, arg):
>         return MatrixEvaluatedFunction(self, arg)
>
> class MatrixEvaluatedFunction(MatExpr):
>     like symbol but with an additional argument
>
> On 1 November 2012 18:50, Stefan Krastanov <[email protected]> wrote:
>> For me it will only be a tree node. I would like to have rules like:
>>
>> Trace( product of three DiracMatrixFunction ) -> 0
>> DiracMatrixFunction(x)*DiracMatrixFunction(y) -> Kronecker(x,y)*Identity
>>
>> On 1 November 2012 18:47, Matthew Rocklin <[email protected]> wrote:
>>> We do not have a MatrixFunction in MatrixExprs but it would be relatively
>>> simple to make one. What sort of logic would you want it to support?
>>>
>>>
>>> On Thu, Nov 1, 2012 at 12:42 PM, Stefan Krastanov
>>> <[email protected]> wrote:
>>>>
>>>> Is there a way to represent something like M(x) where x is a Symbol
>>>> and M(x) is something matrix-like.
>>>>
>>>> Maybe a MatrixSymbol with a second argument (i.e. M(x) is
>>>> MatrixSymbol('M', 'x'))?
>>>>
>>>> Or something mimicking the Function classes in the core. But I hate
>>>> all the magic with the metaclasses. It seems excessively complicated.
>>>>
>>>> I need this in order to work out some algorithms for simplification of
>>>> Dirac algebra (gamma matrices) expressions. I was thinking about using
>>>> the new rewrite rules module.
>>>>
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>>>
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