Comment #12 on issue 1268 by [email protected]: allow lambdify to take vectors and matrices are arguments http://code.google.com/p/sympy/issues/detail?id=1268
I have to figure out the sympy rules for sympy.Matrix indexing, slicing, and broadcasting before I can go any further with anything other than DeferredVector. (For DeferredVector, these issues seem to have obvious solutions.) As a user quite familiar with numpy.ndarray, I would use that as my reference for "obvious" behavior for the N-dimensional case, but numpy.ndarray differs from numpy.matrix in indexing and slicing, and I'm afraid I haven't used numpy.matrix or sympy.Matrix particularly much to understand the behavior there. (I understand there is a desire to keep a similar behavior between sympy.Matrix and numpy.matrix.) Thus, for me to move forward with anything other than DeferredVector, I feel I have to come to at least an understanding of the desired behavior of sympy.Matrix and then attempt to emulate it. Also, I didn't consider Tensor until you just raised it. Which, to be honest, makes these issues seem more daunting. In fact, a sympy.DeferredNDArray modeled after numpy.ndarray would be a lot easier for me to think about, as that is part of my familiar set of daily-use tools. -- You received this message because you are listed in the owner or CC fields of this issue, or because you starred this issue. You may adjust your issue notification preferences at: http://code.google.com/hosting/settings --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "sympy-issues" group. To post to this group, send email to [email protected] To unsubscribe from this group, send email to [email protected] For more options, visit this group at http://groups.google.com/group/sympy-issues?hl=en -~----------~----~----~----~------~----~------~--~---
