BibTeX
@INPROCEEDINGS{
         Enciu2009ADA,
       title = "Automatic Differentiation Applied for Optimization of Dynamical Systems",
       author = "Petre Enciu and Laurent Gerbaud and Fr{\'e}d{\'e}ric Wurtz",
       year = "2009",
       booktitle = "COMPUMAG 09, 17th Conference on the Computation of Electromagnetic Fields",
       pages = "249--250",
       abstract = "Abstract—Simulation is ubiquitous in many scientific areas. Applied for
         dynamic systems usually by employing differential equations, it gives the time evolution of system
         states. In order to solve such problems, numerical integration algorithms are often required.
         Automatic Differentiation (AD) is introduced as a powerful technique to compute derivatives of
         functions given in the form of computer programs in a high level programming lan- guage such as
         FORTRAN, C or C++. Such technique fits perfectly in combination with gradient based optimization
         algorithms, provided that the derivatives are valued with no truncation or cancellation error. This
         paper intends to use Automatic Differentiation employed for numerical integration schemes of
         dynamical systems simulating electromechanical actuators. Then, the resulting derivatives are used
         for sizing such devices by means of gradient based constrained optimization.",
       ad_area = "Dynamical Systems, Electrical Engineering",
       ad_tools = "ADOL-C"
}