Near-Linear Approximation Algorithms for Geometric Hitting Sets

  • Authors:
  • Pankaj K. Agarwal;Esther Ezra;Micha Sharir

  • Affiliations:
  • Duke University, Department of Computer Science, 27708-0129, Durham, NC, USA;Courant Institute of Mathematical Sciences, Department of Computer Science, 10012, New York, NY, USA;Tel Aviv University, School of Computer Science, 69978, Tel Aviv, Israel and New York University, Courant Institute of Mathematical Sciences, New York, NY, 10012, USA

  • Venue:
  • Algorithmica
  • Year:
  • 2012

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Abstract

Given a range space $(X,\mathcal{R})$, where $\mathcal{R}\subset2^{X}$, the hitting set problem is to find a smallest-cardinality subset H⊆X that intersects each set in $\mathcal{R}$. We present near-linear-time approximation algorithms for the hitting set problem in the following geometric settings: (i) $\mathcal{R}$ is a set of planar regions with small union complexity. (ii) $\mathcal{R}$ is a set of axis-parallel d-dimensional boxes in ℝ d . 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.