The One‐Shot Method in SU2

For PDE‐constrained optimization tasks the one‐shot approach is well‐suited. The solution of the state equation is augmented with an adjoint solver to provide approximate reduced derivatives that can be used in an optimization iteration to change the design. In this paper different one‐shot strategies for SU2 are implemented and tested for aerodynamic shape optimization in the open‐source multi‐physics package SU2 to extend the choice of optimization algorithms. These include the application of the one‐shot approach when considering additional constraints apart from the state equation. (© 2016 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)