ReCom
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Adversarial Configurations for the ReCom Transition Function
arXiv:2606.01333v1 Announce Type: new Abstract: ReCom is a leading Markov Chain Monte Carlo algorithm for sampling balanced graph partitions in computational redistricting. At each step, its transition function proposes a new partition by merging two adjacent districts and if possible re-splitting the conjoined region. The transition function is efficient in practice, however, it is unknown whether it is guaranteed to run in polynomial time.
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