Re: [eigen] Re: Eigen-AD: Algorithmic Differentiation of the Eigen Library

[Ian Bell <ian.h.bell@xxxxxxxxx>]

This is exciting stuff! Do you have some demos/examples in your fork?  I wasn't able to find any after a very preliminary search.

On Thu, Dec 19, 2019 at 9:01 AM Patrick Peltzer <peltzer@xxxxxxxxxxxxxxxxxxx> wrote:

Hello,

The Eigen-AD repository can now be accessed here:

https://gitlab.stce.rwth-aachen.de/stce/eigen-ad


Best regards,

Patrick Peltzer, Johannes Lotz, Uwe Naumann
Informatik 12 (STCE), RWTH Aachen University, Germany


On 03.12.19 13:56, Patrick Peltzer wrote:
> Dear all,
>
> We would like to draw your attention to a new fork of Eigen with
> support for Algorithmic Differentiation (AD) in the context of AD by
> overloading in C++. Important new features include highly efficient
> first and higher derivatives of Eigen solvers as well as compatibility
> with a wide range of AD software tools. See
>
> https://arxiv.org/abs/1911.12604
>
> for details including benchmark results. Please contact
> info@xxxxxxxxxxxxxxxxxxx for access to the software.
>
> We look forward to further discussions with potential users and other
> AD software tool developers.
>
>
> With kind regards
>
> Patrick Peltzer, Johannes Lotz, Uwe Naumann
> Informatik 12 (STCE), RWTH Aachen University, Germany