Hello Ian,
Examples can be found in "unsupported/doc/examples/". You may build them
via
make eigen_ad_examples
At the moment, the only supported AD tool is dco/c++. You can download
the latest version from
https://www.nag.co.uk/content/downloads-dco-c-dcl6i34ngl
Please note that a license key is required to run dco/c++; you can
request a 30 day software trial there as well.
Best wishes,
Patrick
On 19.12.19 17:52, Ian Bell wrote:
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
<[email protected] <mailto:[email protected]>> 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
> [email protected] <mailto:[email protected]> 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
