Two related methods for aerodynamic design optimization are compared. The methods, called the implicit gradient approach and the variational (or optimal control) approach, both attempt to obtain gradients necessary for numerical optimization at a cost significantly less than that of the usual black-box approach that employs finite difference gradients. While the two methods are seemingly quite different, they are shown to differ (essentially) in that the order of discretizing the continuous problem, and of applying calculus, is interchanged. Under certain circumstances, the two methods turn out to be identical. We explore the relationship between these methods by applying them to a model problem for duct flow that has many features in common with transonic flow over an airfoil. We find that the gradients computed by the variational method can sometimes be sufficiently inaccurate to cause the optimization to fail.
[1]
E. Polak,et al.
Theory of optimal control and mathematical programming
,
1969
.
[2]
G. R. Shubin,et al.
A comparison of optimization-based approaches for a model computational aerodynamics design problem
,
1992
.
[3]
R. Bruce Kellogg,et al.
A priori estimates and analysis of a numerical method for a turning point problem
,
1984
.
[4]
Richard G. Carter,et al.
Numerical Experience with a Class of Algorithms for Nonlinear Optimization Using Inexact Function and Gradient Information
,
1993,
SIAM J. Sci. Comput..
[5]
Elijah Polak,et al.
Computational methods in optimization
,
1971
.
[6]
Antony Jameson,et al.
Aerodynamic design via control theory
,
1988,
J. Sci. Comput..