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Industrial Optimal Design using Adjoint CFD

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Automatic Differentiation Training and Consortium Meeting

Automatic Differentiation Training Sophia Antipolis Feb 17

The Automatic/Algorithmic Differentiation (AD) training was presented by Laurent Hascoet (INRIA), Andrea Walther and Kshitij Kulshreshtha (University of Paderborn). The training covered both theoretical aspects and practical examples. The lectures explained the core part of an AD software tool - forward and reverse mode differentiation, and how one can apply it to a computer program in order to obtain necessary derivatives (gradients) of any order, i.e., first, second and higher-order derivatives.

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