Near-Linear Algorithms for Geometric Hitting Sets and Set Covers

Given a finite range space Σ = ( X , R ) , with N = | X | + | R | , we present two simple algorithms, based on the multiplicative-weight method, for computing a small-size hitting set or set cover of Σ . The first algorithm is a simpler variant of the Brönnimann–Goodrich algorithm but more efficient...

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Published inDiscrete & computational geometry Vol. 63; no. 2; pp. 460 - 482
Main Authors Agarwal, Pankaj K., Pan, Jiangwei
Format Journal Article
LanguageEnglish
Published New York Springer US 01.03.2020
Springer Nature B.V
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ISSN0179-5376
1432-0444
DOI10.1007/s00454-019-00099-6

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Summary:Given a finite range space Σ = ( X , R ) , with N = | X | + | R | , we present two simple algorithms, based on the multiplicative-weight method, for computing a small-size hitting set or set cover of Σ . The first algorithm is a simpler variant of the Brönnimann–Goodrich algorithm but more efficient to implement, and the second algorithm can be viewed as solving a two-player zero-sum game. These algorithms, in conjunction with some standard geometric data structures, lead to near-linear algorithms for computing a small-size hitting set or set cover for a number of geometric range spaces. For example, they lead to O ( N polylog ( N ) ) expected-time randomized O (1)-approximation algorithms for both hitting set and set cover if X is a set of points and R a set of disks in R 2 .
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ISSN:0179-5376
1432-0444
DOI:10.1007/s00454-019-00099-6