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:
2026-02-27 00:00:00:0本报记者 李 纵 陈阳代表——
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[단독]폴란드, 韓 해군 최초 잠수함 ‘장보고함’ 무상 양도 안받기로
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