Hi, I've been using R to solve some machine learning problems, but I'd really prefer to use Racket. In order to do so, I need probability distributions, accurate definitions of some mathematical functions like the Gamma and the log of the Gamma function, a decent plotting library, and a numerical optimizer.
I think Racket has the first three features (the math library looks awesome), but AFAICT it lacks a numerical optimizer. Has anyone written a library that implements something like BFGS? Specifically, I'm looking for a numerical optimizer that finds local minima or maxima and makes use of a user-provided gradient. I'm also interested in libraries developed for personal use but not yet production ready. The benefits of types and consistent, understandable semantics that come with Racket would overcome minor warts in an optimization library. I'm happy to provide bug reports and perhaps even patches (provided I understand the error). Thanks, -- Dan King ____________________ Racket Users list: http://lists.racket-lang.org/users
