按照规划，科研团队将开展更长周期的小鼠空间科学实验，模拟人类在轨驻留半年以上的生活，研究小鼠的生理响应与空间适应性。
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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