BibTeX
@TECHREPORT{
         Praveen2006Acd,
       title = "Adjoint code development and optimization using automatic differentiation",
       author = "C. Praveen",
       publisher = "NAL",
       year = "2006",
       number = "PD CF 0604",
       institution = "India National Aerospace Laboratories",
       abstract = "Adjoint code for 1-D and 2-D Euler equations are developed using automatic
         differentiation tool called Tapenade. A piecemeal approach is used in which the subroutines in the
         fow solver are differentiated individually and used in an adjoint iterative solver. This approach is
         useful for problems requiring iterative solution procedures since it leads to enormous savings in
         memory and time. For 2-D case, the adjoint solver requires about 38% more memory compared to the
         flow solver. The time per adjoint iteration is about twice that of the flow solver. The adjoint code
         is used to solve pressure matching problem for quasi 1-D flow through a duct. A smoothing procedure
         based on an elliptic equation is developed for this purpose. In 2-D, a second order vertex-centroid
         scheme on triangular grids is used to develop an adjoint solver. Both the flow and adjoint solvers
         are accelerated using LUSGS scheme with spectral radius approximation for flux jacobians. The
         adjoint code is validated by computing the slope of the Cl-alpha curve.",
       ad_area = "Computational Fluid Dynamics, Engineering, Optimization",
       ad_tools = "TAPENADE",
       ad_theotech = "Adjoint, Code Optimization, Implementation Strategies, Iteration, Reverse
         Mode"
}