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Optimal strategy of coupon subset collection when each package contains half of the coupons

机译:当每个包装包含一半优惠券时,优惠券子集收集的最佳策略

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摘要

The coupon subset collection is a generalization of the classical coupon collection, where instead of selecting (with replacement) a single coupon, a subset of at most k coupons (known as a "package") is selected in each round. In this paper, we study how to design the pool of packages and assign probabilities to the packages, so as to minimize the expected number of rounds to collect all n distinct coupons. When k divides n, a seemingly optimal strategy is to choose a pool of non-intersecting packages, and assign equal probability to each package in the pool. We prove the optimality of this strategy when the size of the package is half the number coupons, that is, n = 2k.
机译:优惠券子集是经典优惠券集合的概括,其中代替选择(替换)单个优惠券,在每个回合中最多选择k个优惠券的子集(称为“包装”)。在本文中,我们研究如何设计包装池并为包装分配概率,从而最大程度地减少收集所有n个不同优惠券的预期回合次数。当k除以n时,一种看似最优的策略是选择一个不相交的程序包池,并为该池中的每个程序包分配相等的概率。当包装的尺寸为优惠券数量的一半时,即n = 2k时,我们证明了该策略的最优性。

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