BibTeX
@INCOLLECTION{
Bischof2000CDo,
author = "C.~H.~Bischof and H.~M.~B{\"u}cker",
title = "Computing Derivatives of Computer Programs",
booktitle = "Modern Methods and Algorithms of Quantum Chemistry: Proceedings, Second Edition",
publisher = "NICDirectors",
editor = "J. Grotendorst",
series = "NIC Series",
pages = "315327",
address = "J{\"u}lich",
url = "https://juser.fzjuelich.de/record/44658/files/Band_3_Winterschule.pdf",
notes = "Also available as preprint ANL/MCSP8130400, Argonne National Laboratory,
Mathematics and Computer Science Division, USA, April 2000",
abstract = "Automatic differentiation is introduced as a powerful technique to compute
derivatives of functions given in the form of a computer program in a highlevel programming
language such as Fortran, C, or C++. In contrast to traditional approaches such as handcoding of
analytic expressions, numerical approximation by divided differences, or manipulation of symbolic
algebraic expressions by computer algebra systems, automatic differentiation offers the following
substantial benefits: it is accurate up to machine precision, efficient in terms of computational
cost, applicable to a 1line formula as well as to a 100,000line code, and can be produced with
minimal human effort.",
ad_theotech = "General",
year = "2000",
volume = "3"
}
