BibTeX
@ARTICLE{
         Bischof2007ADo,
       author = "C. H.~Bischof and H. M. B{\"u}cker and A.~Rasch and E.~Slusanschi and
         B.~Lang",
       title = "Automatic Differentiation of the General-Purpose Computational Fluid Dynamics Package
         {FLUENT}",
       journal = "Journal of Fluids Engineering",
       pages = "652--658",
       doi = "10.1115/1.2720475",
       abstract = "Derivatives are a crucial ingredient to a broad variety of computational techniques
         in science and engineering. While numerical approaches for evaluating derivatives suffer from
         truncation error, automatic differentiation is accurate up to machine precision. The term automatic
         differentiation comprises a set of techniques for mechanically transforming a given computer program
         to another one capable of evaluating derivatives. A common misconception about automatic
         differentiation is that this technique only works on local pieces of fairly simple code. Here, it is
         shown that automatic differentiation is not only applicable to small academic codes, but scales to
         advanced industrial software packages. In particular, the general-purpose computational fluid
         dynamics software package {FLUENT} is transformed by automatic differentiation.",
       year = "2007",
       volume = "129",
       number = "5",
       ad_area = "Computational Fluid Dynamics",
       ad_tools = "ADIFOR"
}