As I suggested on the StackOverflow question, you might try using the
matrix expressions.

Aaron Meurer


On Thu, Sep 5, 2013 at 2:53 PM, Stefan Krastanov
<[email protected]>wrote:

> Is there a reason not to use Symbols? From your explanations I do not see
> one. If your issue is how to couple the result to something like numpy,
> checkout `lambdify`.
>
>
> On 5 September 2013 15:54, david <[email protected]> wrote:
>
>> For better explanation I have done the simplification in MatCad where
>> unassigned variables are seen as symbols in sympy.
>>
>>
>> <https://lh4.googleusercontent.com/-uq82CF7JYZw/UijhDNbjPvI/AAAAAAAAAAM/bPAnd8PQSpI/s1600/simplify+with++arrays.tiff>
>>
>>
>> Am Donnerstag, 5. September 2013 15:19:14 UTC+2 schrieb david:
>>
>>> I have explored the sympy features and i was very impressed with both
>>> the amount of features and the ease of testing with the doc and the coupled
>>> Live Shell.
>>> I want to write a programm that simplifies expressions as much as
>>> possible to minimize calculation time because they will later be numericaly
>>> evaluated very often.
>>> The most features I need work very well. But with arrays I have a
>>> problem.
>>> I need to define an array object as an symbol, so that the following is
>>> possible:
>>>
>>> simplify(2.0*2.0*t[0])
>>> is simplified to:
>>> 4.0*t[0]
>>>
>>> and:
>>> idx = 2
>>> simplify(2.0*2.0*t[idx])
>>> shold be simplified to:
>>> 4.0*t[2]
>>>
>>> Is there any way to do this?
>>>
>>> david
>>>
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