|Re: [eigen] Re: Eigen-AD: Algorithmic Differentiation of the Eigen Library|
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Examples can be found in "unsupported/doc/examples/". You may
build them via
At the moment, the only supported AD tool is dco/c++. You can
download the latest version from
Please note that a license key is required to run dco/c++; you
can request a 30 day software trial there as well.
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.
The Eigen-AD repository can now be accessed here:
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
> support for Algorithmic Differentiation (AD) in the
context of AD by
> overloading in C++. Important new features include highly
> first and higher derivatives of Eigen solvers as well as
> with a wide range of AD software tools. See
> for details including benchmark results. Please contact
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