On Thu, Mar 26, 2009 at 6:45 PM, Gael Varoquaux <gael.varoqu...@normalesup.org> wrote: > > Hey guys, > > We are sitting at a sprint, trying to use sympy to implement a clean way > of generation of numpy vectors. > > What we want is to specify formulas for these vectors, and at the end of > the day, we sample these formulas on a given set of values. It is > important for us to seprate the specification from the sampling. All the > rest (incuding the fact the sympy is able to compute closed form > formulas or not) does not matters, as long as we can get numerical > values. > > Where this fails is when we try to do some convolutions: I can't figure > out a way of using lambdify with none evaluated integrals. I don't see > why sympy shouldn't be abe to cal scipy.integrate to get numerical values > for these integrals. We don't actually need to use lambdify: we are going > to evaluate these functions on vector of length < 1000.
This is partially fixed after my patches from the issue go in sympy: http://code.google.com/p/sympy/issues/detail?id=1352 however now I need more input from you what exactly you want to do, see the issue for more details. Ondrej --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "sympy" group. To post to this group, send email to sympy@googlegroups.com To unsubscribe from this group, send email to sympy+unsubscr...@googlegroups.com For more options, visit this group at http://groups.google.com/group/sympy?hl=en -~----------~----~----~----~------~----~------~--~---
