There is a copylefted almost-clone of Matlab called Octave, which
uses the GNU tools, available at http://www.che.wisc.edu/octave/.
It also includes hooks to many well-known scientific libraries, such
LAPACK, FFTPACK, etc.
-Rod Price
David Barton wrote:
> Simon Peyton-Jones writes:
>
> > Another approach is to compete not head-to-head on speed, but on
> > cunning. Get a good library of numeric procedures (e.g. Mathlab),
> > interface them to Haskell, and use Haskell as the glue code to make
> > it really fast to write complex numerical algorithms. 99% of the
> > time will still be spent in the library, so the speed of the Haskell
> > implementation is not very important. This looks like a jolly
> > productive line to me.
>
> I don't know if it is better to go with a commercial product here
> (like Mathlab) or one of the semi-public domain (Reduce) or wholly
> public domain tools here. It would be a shame if Haskell were
> publically available but the thing that made it useful for scientific
> computing was not.
>
> Dave Barton <*>
> [EMAIL PROTECTED] )0(
> http://www.intermetrics.com/~dlb
