Adjoints by Automatic Differentiation - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Book Sections Year : 2014

Adjoints by Automatic Differentiation

Abstract

We present Automatic Differentiation (AD), a technique to obtain derivatives of functions provided as programs. We present the principles that justify why AD is possible and explain its performance. The adjoint mode of AD is the choice approach to obtain gradients, like the gradients needed for data assimilation. We show the specific difficulties of the adjoint mode, and list a few AD tools that handle these problems well. We show why AD needs an enlightened user to achieve optimal efficiency.
Fichier principal
Vignette du fichier
LesHouches.pdf (406.06 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-01109881 , version 1 (27-01-2015)

Identifiers

  • HAL Id : hal-01109881 , version 1

Cite

Laurent Hascoët. Adjoints by Automatic Differentiation. Advanced Data Assimilation for Geosciences, Oxford University Press, 2014, 978-0-19-872384-4. ⟨hal-01109881⟩
302 View
1032 Download

Share

Gmail Mastodon Facebook X LinkedIn More