Computers and Fluids
Book Author A.S. Zymaris, D.I. Papadimitriou, K.C. Giannakoglou, C. Othmer
DescriptionIn aerodynamic shape optimization methods, given (a) an objective function J, (b) a set of N design variables in most cases, these are shape controlling parameters, though flow parameters can also be among them) and (c) the governing (flow/state) equations, the adjoint method computes the gradient of J with respect to bn, i.e. sensitivity derivatives dJ dbn. A key advantage of the adjoint method is that these derivatives are computed
at cost comparable to that of numerically solving the state