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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“The voting process has been concluded peacefully and enthusiastically,” said the chief election commissioner, Ram Prasad Bhandari. It appeared the turnout was only about 60%, according to initial estimates, the lowest in more than two decades.