BibTeX
@INPROCEEDINGS{
         Gauger2007Ado,
       title = "Automatic differentiation of an entire design chain with applications",
       author = "N. Gauger, A. Walther, C. Moldenhauer and M. Widhalm",
       editor = "C. Tropea et al.",
       publisher = "Springer",
       year = "2007",
       booktitle = "New Results in Numerical and Experimental Fluid Mechanics VI",
       series = "Notes on Numerical Fluid Mechanics and Multidisciplinary Design",
       pages = "454--461",
       abstract = "Detailed numerical shape optimization will play a strategic role for future
         aircraft design. It offers the possibility of designing or improving aircraft components with
         respect to a pre-specified figure of merit. Optimization methods based on exact derivatives of the
         cost function with respect to the design variables still suffer from the high computational costs if
         many design variables are used. However, these gradients can be efficiently obtained by the solution
         of so-called adjoint flow equations. Furthermore, it is possible to derive these adjoint solvers in
         an automated fashion by the use of so-called automatic differentiation (AD) tools. In the present
         paper the efficient and automated differentiation of an entire design chain, including the flow
         solver, is presented. As test case for AD-generated adjoint sensitivity calculations an inviscid
         RAE2822 airfoil is chosen under transonic flight conditions for drag reduction.",
       ad_area = "Computational Fluid Dynamics",
       ad_tools = "ADOL-C",
       ad_theotech = "Adjoint"
}