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On the Use of a Differentiated Finite Element Package for Sensitivity Analysis-
Part of a collection
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Area Computational Fluid Dynamics |
Author(s)
C. H. Bischof
, H. M. Bücker
, B. Lang
, A. Rasch
, J. W. Risch
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Published in Computational Science -- ICCS 2001, Proceedings of the International Conference on Computational Science, San Francisco, USA, May 28--30, 2001. Part I
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Editor(s) V. N. Alexandrov, J. J. Dongarra, B. A. Juliano, R. S. Renner, C. J. K. Tan |
Year 2001 |
Publisher Springer |
Abstract Derivatives are ubiquitous in various areas of computational science including sensitivity analysis and parameter optimization of computer models. Among the various methods for obtaining derivatives, automatic differentiation (ad) combines freedom from approximation errors, high performance, and the ability to handle arbitrarily complex codes arising from large-scale scientific investigations. In this note, we show how ad technology can aid in the sensitivity analysis of a computer model by considering a classic fluid flow experiment as an example. To this end, the software tool ADIFOR implementing the ad technology for functions written in Fortran 77 was applied to the large finite element package SEPRAN. Differentiated versions of SEPRAN enable sensitivity analysis for a wide range of applications, not only from computational fluid dynamics. |
AD Tools ADIFOR |
Related Applications
- Differentiation of the SEPRAN Package
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BibTeX
@INPROCEEDINGS{
Bischof2001OtU,
author = "C. H. Bischof and H. M. B{\"u}cker and B. Lang and A. Rasch and J. W.
Risch",
title = "On the Use of a Differentiated Finite Element Package for Sensitivity Analysis",
booktitle = "Computational Science -- ICCS~2001, Proceedings of the International Conference on
Computational Science, San Francisco, USA, May~28--30, 2001. Part~I",
editor = "V. N. Alexandrov and J. J. Dongarra and B. A. Juliano and R. S. Renner and C. J. K.
Tan",
volume = "2073",
series = "Lecture Notes in Computer Science",
pages = "795--801",
address = "Berlin",
publisher = "Springer",
abstract = "Derivatives are ubiquitous in various areas of computational science including
sensitivity analysis and parameter optimization of computer models. Among the various methods for
obtaining derivatives, automatic differentiation~(AD) combines freedom from approximation errors,
high performance, and the ability to handle arbitrarily complex codes arising from large-scale
scientific investigations. In this note, we show how AD technology can aid in the sensitivity
analysis of a computer model by considering a classic fluid flow experiment as an example. To this
end, the software tool ADIFOR implementing the AD technology for functions written in Fortran~77 was
applied to the large finite element package SEPRAN.\@ Differentiated versions of SEPRAN enable
sensitivity analysis for a wide range of applications, not only from computational fluid dynamics.",
ad_area = "Computational Fluid Dynamics",
ad_tools = "ADIFOR",
year = "2001"
}
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