Jump to ContentJump to Main Navigation
Advanced Data Assimilation for GeosciencesLecture Notes of the Les Houches School of Physics: Special Issue, June 2012$
Users without a subscription are not able to see the full content.

Éric Blayo, Marc Bocquet, Emmanuel Cosme, and Leticia F. Cugliandolo

Print publication date: 2014

Print ISBN-13: 9780198723844

Published to Oxford Scholarship Online: March 2015

DOI: 10.1093/acprof:oso/9780198723844.001.0001

Show Summary Details
Page of

PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 25 February 2021

Adjoints by automatic differentiation

Adjoints by automatic differentiation

(p.349) 15 Adjoints by automatic differentiation
Advanced Data Assimilation for Geosciences

L. Hascoët

Oxford University Press

This chapter describes how adjoint algorithms can be created by automatic differentiation (AD). Data assimilation makes intensive use of gradients. In many situations, the so-called adjoint approach is generally the most efficient way to compute gradients, by propagating derivatives backwards from the result of the given model or function. Writing an adjoint algorithm by hand is a complex, error-prone task. When the given model is provided in the form of a computer algorithm, AD can build its adjoint algorithm mechanically, for instance by program transformation. This chapter presents the principles of AD, focusing on the adjoint mode. It provides a brief panorama of existing AD tools, and the program analysis and compiler technology that they employ to produce efficient adjoint algorithms.

Keywords:   automatic differentiation, program transformation, compiler, program analysis, adjoint algorithm, gradient

Oxford Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.

Please, subscribe or login to access full text content.

If you think you should have access to this title, please contact your librarian.

To troubleshoot, please check our FAQs , and if you can't find the answer there, please contact us .