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#### Finding k points with a smallest enclosing square

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##### Fulltext (public)

MPI-I-93-116.pdf

(Any fulltext), 72KB

##### Supplementary Material (public)

There is no public supplementary material available

##### Citation

Smid, M.(1993). *Finding k points with a smallest enclosing
square* (MPI-I-93-116). Saarbrücken: Max-Planck-Institut für Informatik.

Cite as: http://hdl.handle.net/11858/00-001M-0000-0014-B3F8-4

##### Abstract

Let $S$ be a set of $n$ points in $d$-space, let $R$ be an
axes-parallel hyper-rectangle and let $1 \leq k \leq n$ be an
integer. An algorithm is given that decides if $R$ can be
translated such that it contains at least $k$ points of $S$.
After a presorting step, this algorithm runs in $O(n)$ time,
with a constant factor that is doubly-exponential in~$d$.
Two applications are given. First, a translate of $R$
containing the maximal number of points can be computed
in $O(n \log n)$ time. Second, a $k$-point subset of $S$
with minimal $L_{\infty}$-diameter can be computed, also
in $O(n \log n)$ time. Using known dynamization techniques,
the latter result gives improved dynamic data structures
for maintaining such a $k$-point subset.