Publication: Differentiation Methods for Industrial Strength Problems
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Differentiation Methods for Industrial Strength Problems

- incollection -
 

Area
Electrical Engineering

Author(s)
Wolfram Klein , Andreas Griewank , Andrea Walther

Published in
Automatic Differentiation of Algorithms: From Simulation to Optimization

Editor(s)
George Corliss, Christèle Faure, Andreas Griewank, Laurent Hascoët, Uwe Naumann

Year
2002

Publisher
Springer

Abstract
The importance of simulation has been growing in industrial production for many years. Because of reduced product cycles, new and more complicated computer models have to be developed more quickly. The correct description and implementation of the interaction between different components of the entire simulation model as well as the nonlinear behaviour of these components lead in many cases to the need for derivative information. In this chapter, we use software packages for automatic differentiation (ad) in three real world simulation systems typical for a wide range of tasks that have to be solved in numerous industrial applications. We consider difficulties arising from particular aspects of the modelling such as the integration of ordinary differential equations or fixed-point iterations for the solution of equations. Furthermore, we discuss challenges caused by technical software issues such as inhomogeneous source codes written in different languages or table look-ups. Several results concerning the use of tools such as ADIFOR, Odyssée, and ADOL-C are presented. We discuss the benefits and the difficulties of current ad techniques applied to real industrial codes. Finally, we outline possible future developments.

Cross-References
Corliss2002ADo

AD Tools
ADIFOR, ADOL-C, Odyssee

BibTeX
@INCOLLECTION{
         Klein2002DMf,
       author = "Wolfram Klein and Andreas Griewank and Andrea Walther",
       title = "Differentiation Methods for Industrial Strength Problems",
       pages = "3--23",
       chapter = "1",
       crossref = "Corliss2002ADo",
       booktitle = "Automatic Differentiation of Algorithms: From Simulation to Optimization",
       year = "2002",
       editor = "George Corliss and Christ{\`e}le Faure and Andreas Griewank and Laurent
         Hasco{\"e}t and Uwe Naumann",
       series = "Computer and Information Science",
       publisher = "Springer",
       address = "New York, NY",
       abstract = "The importance of simulation has been growing in industrial production for many
         years. Because of reduced product cycles, new and more complicated computer models have to be
         developed more quickly. The correct description and implementation of the interaction between
         different components of the entire simulation model as well as the nonlinear behaviour of these
         components lead in many cases to the need for derivative information. In this chapter, we use
         software packages for automatic differentiation~(AD) in three real world simulation systems typical
         for a wide range of tasks that have to be solved in numerous industrial applications. We consider
         difficulties arising from particular aspects of the modelling such as the integration of ordinary
         differential equations or fixed-point iterations for the solution of equations. Furthermore, we
         discuss challenges caused by technical software issues such as inhomogeneous source codes written in
         different languages or table look-ups. Several results concerning the use of tools such as ADIFOR,
         Odyss{\'e}e, and ADOL-C are presented. We discuss the benefits and the difficulties of
         current AD techniques applied to real industrial codes. Finally, we outline possible future
         developments.",
       ad_area = "Electrical Engineering",
       ad_tools = "ADIFOR, ADOL-C, Odyssee"
}


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