Review and Unification of Methods for Computing Derivatives of Multidisciplinary Computational Models

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Multidisciplinary design optimization: A survey of architectures (2013, methodology): “coupled systems is fairlymature, and there are semi-analyticmethods that drastically reduce the cost of this step by eliminating finite differencing over the full MDA [99,100,102,108–110].”
Buffet-Onset Constraint Formulation for Aerodynamic Shape Optimization (2017, background): “Considering multiple disciplines in design optimization is the basic principle of multidisciplinary design optimization (MDO) [24], and the coupled adjoint technique has been extended to general MDO problems [25].”
RANS-based aerodynamic shape optimization investigations of the common research modelwing (2014, methodology): “For a generalization of the adjoint method and its connection to other sensitivity analysis methods, see [26].”
Effective adjoint approaches for computational fluid dynamics (2019, methodology): “In an effort to unify the theory for the various methods for computing derivatives, Martins and Hwang [18] derived the unified derivatives equation, which also applies to coupled systems.”