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| Content Provider | Society for Industrial and Applied Mathematics (SIAM) |
|---|---|
| Author | Agarwal, Pankaj K. Sharir, Micha Overmars, Mark |
| Copyright Year | 2006 |
| Abstract | Let S be a set of n points in $\reals^2$. Given an integer $1 \le k \le n$, we wish to find a maximally separated subset $I \subseteq S$ of size k; this is a subset for which the minimum among the ${k\choose 2}$ pairwise distances between its points is as large as possible. The decision problem associated with this problem is to determine whether there exists $I\subseteq S$, $|I|=k$, so that all ${k\choose 2}$ pairwise distances in I are at least 2. This problem can also be formulated in terms of diskintersection graphs: Let D be the set of unit disks centered at the points of S. The diskintersection graph G of D has as edges all pairs of disks with nonempty intersection. Any set I with the above properties is then the set of centers of disks that form an independent set in the graph G. This problem is known to be NPcomplete if k is part of the input. In this paper we first present a lineartime $\eps$approximation algorithm for any constant k. Next we give exact algorithms for the cases $k=3$ and $k=4$ that run in time $O(n^{4/3}\polylog(n))$. We also present a simpler $n^{O(\sqrt{k})}$time exact algorithm as compared with the recent algorithm in J. Alber and J. Fiala, J. Algorithms, 52 2004, pp. 134151 for arbitrary values of k. |
| Starting Page | 815 |
| Ending Page | 834 |
| Page Count | 20 |
| File Format | |
| ISSN | 00975397 |
| DOI | 10.1137/S0097539704446591 |
| e-ISSN | 10957111 |
| Journal | SIAM Journal on Computing (SMJCAT) |
| Issue Number | 3 |
| Volume Number | 36 |
| Language | English |
| Publisher | Society for Industrial and Applied Mathematics |
| Publisher Date | 2006-11-03 |
| Access Restriction | Subscribed |
| Subject Keyword | Analysis of algorithms and problem complexity Computer graphics; computational geometry Approximation algorithms geometric optimization diskintersection graphs independent set |
| Content Type | Text |
| Resource Type | Article |
| Subject | Mathematics Computer Science |
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