ANN: ReverseDiff.jl

Previous Topic Next Topic
classic Classic list List threaded Threaded
1 message Options
Reply | Threaded
Open this post in threaded view

ANN: ReverseDiff.jl

Jarrett Revels
Hi all, 

I'm pleased to announce that the first version of ReverseDiff is now registered. ReverseDiff is brought to you by the same folks who develop and maintain the ForwardDiff package.

ReverseDiff implements methods to take gradientsJacobiansHessians, and higher-order derivatives of native Julia functions (or any callable object, really) using reverse mode automatic differentiation (AD). While performance can vary depending on the functions you evaluate, the algorithms implemented by ReverseDiff generally outperform non-AD algorithms in both speed and accuracy.

Feel free to read the full announcement on Julia's Discourse forum.



You received this message because you are subscribed to the Google Groups "julia-opt" group.
To unsubscribe from this group and stop receiving emails from it, send an email to [hidden email].
Visit this group at
For more options, visit