Volume 41, Issue 11 No AccessReduction of the Adjoint Gradient Formula for Aerodynamic Shape Optimization ProblemsAntony Jameson and Sangho KimAntony Jameson Stanford University, Stanford, California 94305Search for more papers by this author and Sangho Kim Stanford University, Stanford, California 94305Search for more papers by this authorPublished Online:17 May 2012https://doi.org/10.2514/2.6830SectionsRead Now ToolsAdd to favoritesDownload citationTrack citations ShareShare onFacebookTwitterLinked InRedditEmail About Previous article Next article FiguresReferencesRelatedDetailsSee PDF for referencesCited byEnhancing the shear-stress-transport turbulence model with symbolic regression: A generalizable and interpretable data-driven approach24 August 2023 | Physical Review Fluids, Vol. 8, No. 8Physics-informed deep learning for simultaneous surrogate modeling and PDE-constrained optimization of an airfoil geometryComputer Methods in Applied Mechanics and Engineering, Vol. 411Physics-informed Deep Learning for Flow Modelling and Aerodynamic OptimizationHigh-fidelity gradient-free optimization of low-pressure turbine cascadesComputers & Fluids, Vol. 248Aerodynamic Shape Optimization with Grassmannian Shape Parameterization Method19 October 2022 | Energies, Vol. 15, No. 20Gradient-free aerodynamic shape optimization using Large Eddy SimulationComputers & Fluids, Vol. 232Shape Optimization for A Conventional Underwater Glider to Decrease Average Periodic Resistance19 November 2021 | China Ocean Engineering, Vol. 35, No. 5Adjoint State of Nonlinear Vortex-Lattice Method for Aerodynamic Design and ControlAlexandros Kontogiannis and Eric Laurendeau11 February 2021 | AIAA Journal, Vol. 59, No. 4The aerodynamic optimisation of a low-Reynolds paper plane with adjoint method24 August 2020 | The Aeronautical Journal, Vol. 125, No. 1285The Jameson wayComputers & Fluids, Vol. 215Watch Your Adjoints! 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