Tight bounds for popping algorithms

July 04, 2018 Β· Declared Dead Β· πŸ› Random Struct. Algorithms

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Authors Heng Guo, Kun He arXiv ID 1807.01680 Category cs.DS: Data Structures & Algorithms Cross-listed cs.CC Citations 22 Venue Random Struct. Algorithms Last Checked 3 months ago
Abstract
We sharpen run-time analysis for algorithms under the partial rejection sampling framework. Our method yields improved bounds for: the cluster-popping algorithm for approximating all-terminal network reliability; the cycle-popping algorithm for sampling rooted spanning trees; the sink-popping algorithm for sampling sink-free orientations. In all three applications, our bounds are not only tight in order, but also optimal in constants.
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