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:
20:47, 27 февраля 2026Экономика
，这一点在夫子中也有详细论述
Израиль нанес удар по Ирану09:28
"My bum felt like it was boiling, I felt like I had a fever," she said.
Afghanistan’s Taliban says open to talks after Pakistan bombs major cities