On Mon, Dec 21, 2009 at 1:31 PM, Dag Sverre Seljebotn <da...@student.matnat.uio.no> wrote: > > Yes, I'm going my own way with it -- the SciPy matrix discussion tends > to focus on cosmetics IMO, and I just tend to fundamentally disagree > with the direction these discussions take on the SciPy/NumPy lists. > What I'm after is not just some cosmetics for avoiding a call to dot. > > I'm after something which will allow me to structure my programs better > -- something which e.g. allows my sampling routines to not care (by > default, rather than as a workaround) about whether the specified > covariance matrix is sparse or dense when trying to Cholesky decompose > it, or something which allows one to set the best iterative solver to > use for a given matrix at an outer level in the program, but do the > actual solving somewhere else, without all the boilerplate and all the > variable passing and callbacks. > > -- > Dag Sverre
OK, it sounds like these sorts of things might be "universally" useful! :-) Keep us apprised, please. DG _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
