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Robust optimization reveals complexity in uncertain follower's objectives.
The study looks at how complicated it is to solve a specific type of optimization problem when the follower's goals are uncertain. They found that when dealing with a certain level of uncertainty, the problem becomes very hard to solve. However, when the uncertainty is more defined, the problem is not as difficult.