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2019 | OriginalPaper | Chapter

On the Effectiveness of the Fast Automatic Differentiation Methodology

Authors : Alla Albu, Andrei Gorchakov, Vladimir Zubov

Published in: Optimization and Applications

Publisher: Springer International Publishing

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Abstract

In this paper, we compare the three approaches for calculating the gradient of a complex function of many variables. The compared approaches are: the use of precise, analytically derived formulas; the usage of formulas derived with the aid of the Fast Automatic Differentiation methodology; the use of standard software packages that implement the ideas of Fast Automatic Differentiation methodology. Comparison of approaches is carried out with the help of a complex function that represents the energy of atoms system whose interaction potential is the Tersoff potential. As a comparison criterion, the computer time required to calculate the gradient of the function is used. The results show the superiority of the Fast Automatic Differentiation methodology in comparison with the approach using analytical formulas. Standard packages compute the function gradient around the same time as using the formula of the Fast Automatic Differentiation methodology.

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Literature
3.
go back to reference Albu, A.F.: Application of the fast automatic differentiation to the computation of the gradient of the tersoff potential. Informacionnye tekhnologii i vychislitel’nye sistemy 1, 43–49 (2016) Albu, A.F.: Application of the fast automatic differentiation to the computation of the gradient of the tersoff potential. Informacionnye tekhnologii i vychislitel’nye sistemy 1, 43–49 (2016)
6.
go back to reference Albring, T., et al.: An aerodynamic design framework based on algorithmic differentiation. ERCOFTAC Bull. 102, 10–16 (2015) Albring, T., et al.: An aerodynamic design framework based on algorithmic differentiation. ERCOFTAC Bull. 102, 10–16 (2015)
8.
go back to reference Gorchakov, A.Y.: On software packages of fast automatic differentiation. Informacionnye tekhnologii i vychislitel’nye sistemy 1, 30–36 (2018) Gorchakov, A.Y.: On software packages of fast automatic differentiation. Informacionnye tekhnologii i vychislitel’nye sistemy 1, 30–36 (2018)
Metadata
Title
On the Effectiveness of the Fast Automatic Differentiation Methodology
Authors
Alla Albu
Andrei Gorchakov
Vladimir Zubov
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-030-10934-9_19

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