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Because detailed aerodynamic shape optimizations still suffer from high computational costs, efficient optimization strategies are required. Regarding the deterministic optimization methods, the adjoint approach is seen as a promising alternative to the classical finite difference approach [1, 2]. With the adjoint approach the sensitivities needed for the aerodynamic shape optimization can be efficiently obtained by solution of the adjoint flow equations. Here, one is independent of the number of design variables with respect to the numerical costs for determining the sensitivities. DLR is actively developing, validating and applying adjoint solvers to aerodynamic shape optimization.