Utke, Jean ;
Naumann, Uwe
Combinatorial Problems in OpenAD
Abstract
Computing derivatives using automatic differentiation methods entails
a variety of combinatorial problems. The OpenAD tool implements automatic
differentiation as source transformation of a program that represents a numerical
model. We select three combinatorial problems and discuss the solutions
implemented in OpenAD. Our intention is to explain the specific parts of the implementation so that readers can easily use OpenAD to investigate and develop
their own solutions to these problems.
BibTeX - Entry
@InProceedings{utke_et_al:DSP:2009:2095,
author = {Jean Utke and Uwe Naumann},
title = {Combinatorial Problems in OpenAD},
booktitle = {Combinatorial Scientific Computing},
year = {2009},
editor = {Uwe Naumann and Olaf Schenk and Horst D. Simon and Sivan Toledo},
number = {09061},
series = {Dagstuhl Seminar Proceedings},
ISSN = {1862-4405},
publisher = {Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2009/2095},
annote = {Keywords: Automatic differentiation, combinatorial problem, tool tutorial}
}
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Keywords: |
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Automatic differentiation, combinatorial problem, tool tutorial |
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Seminar: |
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09061 - Combinatorial Scientific Computing
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Issue date: |
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2009 |
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Date of publication: |
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24.07.2009 |