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  Finding k points with a smallest enclosing square

Smid, M.(1992). Finding k points with a smallest enclosing square (MPI-I-92-152). Saarbrücken: Max-Planck-Institut für Informatik.

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 Creators:
Smid, Michiel1, Author           
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1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              

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 Abstract: An algorithm is presented that, given a set of $n$ points in the plane and an integer $k$, $2 \leq k \leq n$, finds $k$ points with a smallest enclosing axes-parallel square. The algorithm has a running time of $O(n \log n + kn \log^{2} k)$ and uses $O(n)$ space. The previously best known algorithm for this problem takes $O(k^{2} n \log n)$ time and uses $O(kn)$ space.

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Language(s): eng - English
 Dates: 1992
 Publication Status: Issued
 Pages: 8 p.
 Publishing info: Saarbrücken : Max-Planck-Institut für Informatik
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 Identifiers: URI: http://domino.mpi-inf.mpg.de/internet/reports.nsf/NumberView/92-152
Report Nr.: MPI-I-92-152
BibTex Citekey: Smid92
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Title: Research Report / Max-Planck-Institut für Informatik
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