BibTeX
@INPROCEEDINGS{
         Bucker2001Fat,
       author = "H. M. B{\"u}cker and B. Lang and A. Rasch and C. H. Bischof",
       title = "From analytic to automated derivatives: a case study of the electrostatic potential",
       booktitle = "Algorithms and Software for Mobile Communications, Proceedings of the 10th Aachen
         Symposium on Signal Theory, Aachen, Germany, September~20--21, 2001",
       pages = "255--260",
       address = "Berlin",
       publisher = "VDE~Verlag",
       abstract = "Given a large-scale engineering simulation, one is often interested in the
         derivatives of certain program outputs with respect to certain input parameters, e.g., for
         sensitivity analysis. From an abstract point of view, the computer program defines a mathematical
         function whose derivatives are sought. In this note, two cases are investigated where the underlying
         functions are given by the solution of different two-dimensional electrostatic potential problems.
         For a rectangular region, the function and its derivatives can be derived analytically. For a
         function based on an L-shaped region, the function is computed by a simulation code and its
         derivatives are obtained by automatic differentiation. In general, this powerful technique is
         applicable if a function is given in the form of a computer program in a high-level programming
         language such as Fortran, C, or C++. In contrast to numerical differentiation providing
         approximations based on divided differences, the derivatives computed by automatic differentiation
         are accurate. Furthermore, automatic differentiation is also shown to be computationally
         efficient.",
       ad_area = "Electrical Engineering",
       ad_tools = "ADIFOR",
       year = "2001"
}