2015 | OriginalPaper | Buchkapitel
Geometric Hitting Sets for Disks: Theory and Practice
verfasst von : Norbert Bus, Nabil H. Mustafa, Saurabh Ray
Erschienen in: Algorithms - ESA 2015
Verlag: Springer Berlin Heidelberg
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The geometric hitting set problem is one of the basic geometric combinatorial optimization problems: given a set
P
of points, and a set
$\mathcal{D}$
of geometric objects in the plane, the goal is to compute a small-sized subset of
P
that hits all objects in
$\mathcal{D}$
. In 1994, Bronniman and Goodrich [6] made an important connection of this problem to the size of fundamental combinatorial structures called
ε
-nets, showing that small-sized
ε
-nets imply approximation algorithms with correspondingly small approximation ratios. Finally, recently Agarwal-Pan [5] showed that their scheme can be implemented in near-linear time for disks in the plane.
This current state-of-the-art is lacking in three ways. First, the constants in current
ε
-net constructions are large, so the approximation factor ends up being more than 40. Second, the algorithm uses sophisticated geometric tools and data structures with large resulting constants. Third, these have resulted in a lack of available software for fast computation of small hitting-sets. In this paper, we make progress on all three of these barriers:
i
) we prove improved bounds on sizes of
ε
-nets,
ii
) design hitting-set algorithms without the use of these data-structures and finally,
iii
) present
dnet
, a public source-code module that incorporates both of these improvements to compute small-sized hitting sets and
ε
-nets efficiently in practice.