Back in the game: Numerics in D

[dsimcha]

This sounds fantastic.  I and a few others (actually more than a few) around here
are very interested in putting together a complete scientific library for D.  A
few of the pieces are already in place.  Lars Kyllingstad has started a SciD
project (http://www.dsource.org/projects/scid).  For now it's basically a nice
wrapper around BLAS and LAPACK, but in the future we'd like to make more of it
native D because using crufty FORTRAN code introduces some very arbitrary
limitations and makes getting up and running with the library relatively difficult
(as in, I haven't figured out how to build the thing on Windows yet.)

I've written a fairly comprehensive statistics library called dstats
(http://www.dsource.org/projects/dstats).  It's permissively licensed and my
eventual goal is to have it merged with other people's efforts and become part of
a full-fledged scientific library.  Right now it's focused on descriptive and
inferential statistics, but I'm considering expanding it to include data mining
and machine learning.  One big bottleneck is the lack of a mature matrix/linalg
library for D.