Agreed, this is really awesome work, I must say an extremely successful summer of code contribution. Nicely done to Jarrett, and very well-mentored by Miles.
I feel like there is quite a large group of people out there who have no idea what automatic differentiation is or that the techniques even exist, but would be very well-served to make use of them. So tell your friends, and have a look at http://www.juliadiff.org/ if you're not familiar - there's a really nice set of tools shaping up for this in Julia. On Friday, August 14, 2015 at 8:46:26 PM UTC-7, Jeffrey Sarnoff wrote: > > +1 for your clean-up (understated and well-articulated) > > On Friday, August 14, 2015 at 4:20:09 PM UTC-4, Jarrett Revels wrote: >> >> Hi! >> >> ForwardDiff.jl <https://github.com/JuliaDiff/ForwardDiff.jl>, a Julia >> package for performing automatic differentiation, has just been updated and >> is now much less buggy, much more performant, and much more comprehensively >> tested. >> >> An additional goal of the update was to provide a more friendly API, so >> hopefully the package is now easier to use for newcomers (documentation can >> be found in the master branch's README). >> >> *To use the updated version of the package, check out it's most recent >> commit on the master branch*. The update is not yet tagged for release, >> as we want to give people a chance to work with the new API some before >> tagging a new version. Feel free to provide feedback in the form of an >> issue or pull request to the repository! >> >> Note that this update only supports Julia v0.4. >> >> Best, >> Jarrett >> >> >>
