Automatic Differentiation (AD) is a technology for automatically augmenting computer programs, including arbitrarily complex simulations, with statements for the computation of derivatives, also known as sensitivities.
We apologize for any inconvenience caused by the fact that this site is still under construction.
News:
- 7th International Conference on Algorithmic Differentiation September 12 -15, 2016, Oxford, UK
- 19th EuroAD Workshop 7.-8. April 2016, Kaiserslautern, Germany
- 18th EuroAD Workshop 30.November -1.December 2015, Paderborn, Germany
- 3rd Argonne AD Workshop 20.-21. August 2015, Argonne National Lab, USA
