The all-at-once approach is implemented to solve an optimum airfoil design
problem. The airfoil design problem is formulated as a constrained optimiza
tion problem in which flow variables and design variables are viewed as ind
ependent and the coupling steady stale Euler equation is included as a cons
traint, along with geometry and other constraints. In this formulation, the
optimizer computes a sequence of points which tend toward feasibility and
optimality at the same time (all-at-once). This decoupling of Variables typ
ically makes the problem less non-linear and can lead to more efficient sol
utions. In this paper an existing optimization algorithm is combined with a
n existing flow code. The problem formulation, its discretization, and the
underlying solvers are described. Implementation issues are presented and n
umerical results are given which indicate that the cost of solving the desi
gn problem is approximately six times the cost of solving a single analysis
problem.