Competitively Chasing Convex Bodies
November 02, 2018 Β· Declared Dead Β· π 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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