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The Diamant Approach for an Efficient Automatic Differentiation of the Asymptotic Numerical Method-
incollection
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Author(s)
Isabelle Charpentier
, Arnaud Lejeune
, Michel Potier-Ferry
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Published in Advances in Automatic Differentiation
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Editor(s) Christian H. Bischof, H. Martin Bücker, Paul D. Hovland, Uwe Naumann, J. Utke |
Year 2008 |
Publisher Springer |
Abstract Based on high-order Taylor expansions, the asymptotic numerical method (ANM) is devoted to the solution of nonlinear partial differential equation (PDE) problems arising, for instance, in mechanics. Up to now, series were mainly handwritten and hand-coded. The note discusses the automation of the specific derivative computations involved in the ANM and presents the automatic differentiation (ad) approach Diamant. As any ad tool, Diamant is generic and may be used to differentiate the code of any differentiable behaviour law. Numerical performances, measured while solving a mechanical PDE problem, prove the efficiency of the Diamant approach. |
Cross-References Bischof2008AiA |
AD Tools Diamant |
BibTeX
@INCOLLECTION{
Charpentier2008TDA,
title = "The Diamant Approach for an Efficient Automatic Differentiation of the Asymptotic
Numerical Method",
doi = "10.1007/978-3-540-68942-3_13",
author = "Isabelle Charpentier and Arnaud Lejeune and Michel Potier-Ferry",
abstract = "Based on high-order Taylor expansions, the asymptotic numerical method (ANM) is
devoted to the solution of nonlinear partial differential equation (PDE) problems arising, for
instance, in mechanics. Up to now, series were mainly handwritten and hand-coded. The note discusses
the automation of the specific derivative computations involved in the ANM and presents the
automatic differentiation (AD) approach Diamant. As any AD tool, Diamant is generic and may be used
to differentiate the code of any differentiable behaviour law. Numerical performances, measured
while solving a mechanical PDE problem, prove the efficiency of the Diamant approach.",
crossref = "Bischof2008AiA",
pages = "139--149",
booktitle = "Advances in Automatic Differentiation",
publisher = "Springer",
editor = "Christian H. Bischof and H. Martin B{\"u}cker and Paul D. Hovland and Uwe
Naumann and J. Utke",
isbn = "978-3-540-68935-5",
issn = "1439-7358",
year = "2008",
ad_tools = "Diamant"
}
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