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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·当然，即使没有被确诊患上PTSD的朋友也可以尝试多玩玩《俄罗斯方块》，根据这项研究显示其不断旋转的方块对于预防让人崩溃的“侵入性记忆”引发的包括抑郁症等都有着缓解阻止效果。
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"There's another ingredient that's required, and that's the orbital economy, whether it happens in low-Earth orbit or on the lunar surface," Isaacman said.