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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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One large study of 365 hetrosexual couples found that women's sexual satisfaction was higher when their current contraceptive status matched what it was when they first chose their partner, hinting that changes in pill use can change how a partner is experienced. These effects are small but could help explain some couples' puzzling shifts in chemistry over time.