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Automatic Differentiation as a Tool in Engineering Design
NASA TECHNICAL MEMORANDUM
107661 __//
Automatic Differentiation as a Tool in
Engineering Design
Jean-Francois
Laura E. Hall
Barthelemy I
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August 1992
NASA
National Aeronautics and
Space Administration
Langley Reseamh Center
Hampton, Virginia 23665
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AUTOMATIC DIFFERENTIATION AS A TOOL IN ENGINEERING DESIGN
Jean-Francois M. Barthelemyl NASA/Langley Research Center
Laura E. Hall, Unisys Corporation
Abstract
Automatic Differentiation (AD) is a tool that system-
atically implements the chain rule of differentiation to
obtain the derivatives of functions calculated by com-
puter programs. In this paper, it is assessed as a tool
for engineering design. The paper discusses the for:
ward and reverse modes of AD, their computing re:
quirements as well as approaches to implementing AD.
It continues with application of two different tools to
two medium-size structural analysis problems to gen-
erate sensitivity information typically necessary in an
optimization or design situation. The paper concludes
with the observation that AD is to be preferred to fi-
of a programs input, generates approximate deriva-
tives which can be affected by round-off and trunca-
tion errors (Haftka and Gurdal, 1992 is. While an ex-
act technique, the later tends to generate very cum-
bersome expressions for the derivatives. There are a
number of applications of AD in the literature, although
a surprisingly limited number of them have to do with
engineering design.
This paper describes an effort underway to assess the
applicability of AD in engineering design. It has two
major sections. The first is a brief introduction to AD
based on some of the most recent publications on the
subject. It discusses the two modes of AD, addresses
nite differencing in most cases, as long as sufficient the issue of computer cost, presents different forms
of AD tools and briefly discusses some results. The
c
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