Competitively Chasing Convex Bodies

November 02, 2018 Β· Declared Dead Β· πŸ› Symposium on the Theory of Computing

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Authors SΓ©bastien Bubeck, Yin Tat Lee, Yuanzhi Li, Mark Sellke arXiv ID 1811.00887 Category cs.DS: Data Structures & Algorithms Cross-listed math.MG Citations 39 Venue Symposium on the Theory of Computing Last Checked 3 months ago
Abstract
Let $\mathcal{F}$ be a family of sets in some metric space. In the $\mathcal{F}$-chasing problem, an online algorithm observes a request sequence of sets in $\mathcal{F}$ and responds (online) by giving a sequence of points in these sets. The movement cost is the distance between consecutive such points. The competitive ratio is the worst case ratio (over request sequences) between the total movement of the online algorithm and the smallest movement one could have achieved by knowing in advance the request sequence. The family $\mathcal{F}$ is said to be chaseable if there exists an online algorithm with finite competitive ratio. In 1991, Linial and Friedman conjectured that the family of convex sets in Euclidean space is chaseable. We prove this conjecture.
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