"Optimizing for subproblems" itself has issues. For instance with a single hub (a complete hub and spoke model), the problem is algorithmically easy. But a) f

"Optimizing for subproblems" itself has issues. For instance with a single hub (a complete hub and spoke model), the problem is algorithmically easy. But a) flight distance is much higher, and b) you run the risk of a single weather disaster taking out your entire network, and c) lots of other problems. My point was to suggest that its useful to understand what's going on in terms of algorithmic complexity. Southwest, because of decisions that they made I should add, is facing an extremely difficult algorithmic problem, and some of the issues of what's going on can be understood by thinking out those problems. I.E. your algorithms class actually matters