BibTeX
@INPROCEEDINGS{
         Bischof2003Sfa,
       author = "C. H.~Bischof and H. M. B{\"u}cker and A.~Rasch and E.~Slusanschi",
       title = "Sensitivities for a Single Drop Simulation",
       booktitle = "Computational Science -- ICCS~2003, Proceedings of the International Conference on
         Computational Science, Melbourne, Australia and St.~Petersburg, Russia, June~2--4, 2003. Part~II",
       editor = "P. M. A. Sloot and D. Abramson and A. V. Bogdanov and J. J. Dongarra and A. Y. Zomaya
         and Y. E. Gorbachev",
       volume = "2658",
       series = "Lecture Notes in Computer Science",
       pages = "888--896",
       address = "Berlin",
       publisher = "Springer",
       abstract = "In process engineering, a single drop is investigated to better understand its
         physical and chemical behavior. Laboratory experiments using the Nuclear Magnetic Resonance (NMR)
         technology are prepared by numerical simulations aiming at finding a suitable geometry of the
         measuring cell. In the underlying numerical optimization problem, derivatives of the flow field
         around a single drop with respect to geometric parameters are needed. Rather than using numerical
         differentiation based on divided differencing, a technique called automatic differentiation is used
         to compute truncation-error free derivative values. It is shown that automatic differentiation is
         comparable to numerical differentiation in terms of CPU time but eliminates potential problems in
         accuracy encountered when using numerical differentiation.",
       ad_area = "Computational Fluid Dynamics",
       ad_tools = "ADIFOR",
       year = "2003"
}