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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:

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2026-02-27 00:00:00:0 (2026年2月26日第十四届全国人民代表大会常务委员会第二十一次会议通过)

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// 3. 对每个桶排序 + 收集结果