Near-linear approximation algorithms for geometric hitting sets

Pankaj K. Agarwal, Esther Ezra*, Micha Sharir

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Given a range space (X,R), where R § 2 X, the hitting set problem is to find a smallest-cardinality subset H § X that intersects each set in R. We present near-linear-time approximation algorithms for the hitting set problem in the following geometric settings: (i) R is a set of planar regions with small union complexity. (ii) R is a set of axis-parallel d-dimensional boxes in Rd . In both cases X is either the entire R d , or a finite set of points in R d . The approximation factors yielded by the algorithm are small; they are either the same as, or within very small factors off the best factors known to be computable in polynomial time.

Original languageEnglish
Pages (from-to)1-25
Number of pages25
JournalAlgorithmica
Volume63
Issue number1-2
DOIs
StatePublished - Jun 2012

Funding

FundersFunder number
Israel Science Fund
National Science FoundationCNS-05-40347, CCF-09-40671, CCF-06 -35000, IIS-07-13498
National Institutes of Health1P50-GM-08183-01
U.S. Department of Energy338/09, 155/05, OEG-P200A070505, CCF-05-14079, CCF-08-30272
Army Research OfficeW911NF-07-1-0376, W911NF-08-1-0452
United States-Israel Binational Science Foundation
Tel Aviv University

    Keywords

    • Approximation algorithms
    • Cuttings
    • Geometric range spaces
    • Hitting sets

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