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VigneronAntoine

Vigneron, Antoine
Geometric Algorithms Lab.
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A Generalization of the Convex Kakeya Problem

Author(s)
Ahn, Hee-KapBae, Sang WonCheong, OtfriedGudmundsson, JoachimTokuyama, TakeshiVigneron, Antoine
Issued Date
2014-10
DOI
10.1007/s00453-013-9831-y
URI
https://scholarworks.unist.ac.kr/handle/201301/19931
Fulltext
http://link.springer.com/article/10.1007%2Fs00453-013-9831-y
Citation
ALGORITHMICA, v.70, no.2, pp.152 - 170
Abstract
Given a set of line segments in the plane, not necessarily finite, what is a convex region of smallest area that contains a translate of each input segment? This question can be seen as a generalization of Kakeya's problem of finding a convex region of smallest area such that a needle can be rotated through 360 degrees within this region. We show that there is always an optimal region that is a triangle, and we give an optimal I similar to(nlogn)-time algorithm to compute such a triangle for a given set of n segments. We also show that, if the goal is to minimize the perimeter of the region instead of its area, then placing the segments with their midpoint at the origin and taking their convex hull results in an optimal solution. Finally, we show that for any compact convex figure G, the smallest enclosing disk of G is a smallest-perimeter region containing a translate of every rotated copy of G
Publisher
SPRINGER
ISSN
0178-4617

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