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Like the N-convex algorithm, this algorithm attempts to find a set of candidates whose centroid is close to . The key difference is that instead of taking unique candidates, we allow candidates to populate the set multiple times. The result is that the weight of each candidate is simply given by its frequency in the list, which we can then index by random selection:，更多细节参见爱思助手下载最新版本
"I think quitting the mission would have been the opposite of brave… and I wanted to be a brave leader. I wanted to be a confident leader. I wanted to instill that confidence in other people."