Combinatorial Problems in OpenAD

Utke, Jean; Naumann, Uwe

doi:10.4230/DagSemProc.09061.7

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Combinatorial Problems in OpenAD

Authors Jean Utke, Uwe Naumann

Part of: Volume: Dagstuhl Seminar Proceedings, Volume 9061
Part of: Series: Dagstuhl Seminar Proceedings (DagSemProc)
License: Creative Commons Attribution 4.0 International license
Publication Date: 2009-07-24

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DagSemProc.09061.7.pdf

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Document Identifiers

DOI: 10.4230/DagSemProc.09061.7
URN: urn:nbn:de:0030-drops-20954

Subject Classification

Keywords

Automatic differentiation
combinatorial problem
tool tutorial

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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.

Cite As Get BibTex

Jean Utke and Uwe Naumann. Combinatorial Problems in OpenAD. In Combinatorial Scientific Computing. Dagstuhl Seminar Proceedings, Volume 9061, pp. 1-12, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009) https://doi.org/10.4230/DagSemProc.09061.7

Author Details

Jean Utke

Uwe Naumann

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