Hi,
I am wondering if it were in principle possible to create subclass of
Symbol, that could handle array indices, so that at a later time
(after having performed symbolic calculations) I could just substitute
a numpy array in for that symbol.
e.g. (10 + a[:,0] *a[:,1]).subst(a, np.array([[...]])
Of course I could simply create symbols for individual array elements,
but I am working with a large number of coefficients (~1000+) for
which it would seem inefficient (at least to me) to create individual
symbols.
I am still trying to get a good feeling for the code and I will try to
implement it myself, but maybe some of you already know of some reason
why this would not work (efficiently).
Nikolas
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