Automatic Differentiation: Theory and Practice
Machine Learning
2022-07-14 v1 Artificial Intelligence
Optimization and Control
Abstract
We present the classical coordinate-free formalism for forward and backward mode ad in the real and complex setting. We show how to formally derive the forward and backward formulae for a number of matrix functions starting from basic principles.
Keywords
Cite
@article{arxiv.2207.06114,
title = {Automatic Differentiation: Theory and Practice},
author = {Mario Lezcano-Casado},
journal= {arXiv preprint arXiv:2207.06114},
year = {2022}
}