On Thu, Apr 24, 2008 at 11:16 AM, Timothy Hochberg <[EMAIL PROTECTED]> wrote: > > [CHOP] > > The proposals thus far don't address two of the major issues I have with the > matrix class:
The thing that seems missing to me is support for LAPACK's banded and packed (triangular) storage formats. I don't have an urgent need for it, but it seems like a serious front end for doing linear algebra should at least provide a convenient way to access all of what LAPACK offers. Perhaps these other formats could/should be supported by different classes, though, the way it is done for sparse matrices. But the fact that more matrix types could exist some day is all the more reason to make sure the interface makes sense for more than just strided memory. My hunch is if the API is workable for both ndarray matrices and sparse matrices, then it should be ok for these other formats too. --bb _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
