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Parameterized Hardness of Art Gallery Problems

Authors: Bonnet, Edouard; Tillmann, Miltzow;

Parameterized Hardness of Art Gallery Problems

Abstract

Given a simple polygon P on n vertices, two points x , y in P are said to be visible to each other if the line segment between x and y is contained in P . The P oint G uard A rt G allery problem asks for a minimum set S such that every point in P is visible from a point in S . The V ertex G uard A rt G allery problem asks for such a set S subset of the vertices of P . A point in the set S is referred to as a guard. For both variants, we rule out any f ( k ) n o ( k / log k ) algorithm, where k := | S | is the number of guards, for any computable function f , unless the exponential time hypothesis fails. These lower bounds almost match the n O ( k ) algorithms that exist for both problems.

Countries
Netherlands, Germany, France
Keywords

Art Gallery, Computational Geometry, ETH-based lower bound, art gallery, [INFO] Computer Science [cs], Computational geometry, 004, ETH lower bound, [INFO.INFO-CG] Computer Science [cs]/Computational Geometry [cs.CG], intractability, Taverne, art gallery problem, computational geometry, [INFO.INFO-CC] Computer Science [cs]/Computational Complexity [cs.CC], Parameterized Complexity, geometric set cover/hitting set, parameterized complexity

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Top 10%
Top 10%
Green
hybrid