@Simon: Thanks for the pointer to those pages. They're good to look through
@Aaron: Hrm, yes getting Muls and Adds and such to recognize matrices is quite a hurdle. Should I shy away from adding to flatten()? Alternatively I could subclass all of these into MatrixExpr, MatrixMul (MatMul?), MatrixAdd, etc... and build in a couple of checks into the __add__, __mul__ operators before passing up to the superclass method. On Fri, Jun 24, 2011 at 8:33 PM, Simon <simonjty...@gmail.com> wrote: > There was some discussion of this in the sage group. The code will also work > in SymPy: > http://ask.sagemath.org/question/505/symbolic-matrices > (also > see http://stackoverflow.com/questions/5708208/symbolic-matrices-in-mathematica-with-unknown-dimensions/5710838) > This type of approach seems to be what you were talking about, and can > easily be extended to contain the is_positive_definite type properties. > It needs some work to make inverse work nicely with a square product of > rectangular matrices, etc... > > -- > You received this message because you are subscribed to the Google Groups > "sympy" group. > To view this discussion on the web visit > https://groups.google.com/d/msg/sympy/-/OOTzZmk0RPoJ. > 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. > -- 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.
