Improved Approximations for Guarding 1.5-Dimensional Terrains

Authors:
Khaled Elbassioni;Erik Krohn;Domagoj Matijević;Julián Mestre;Domagoj Ševerdija
Affiliations:
Max-Planck-Institut für Informatik, Saarbrücken, Germany;University of Iowa, Department of Computer Science, Iowa City, USA;J.J. Strossmayer University of Osijek, Department of Mathematics, Osijek, Croatia;Max-Planck-Institut für Informatik, Saarbrücken, Germany;J.J. Strossmayer University of Osijek, Department of Mathematics, Osijek, Croatia
Venue:
Algorithmica
Year:
2011

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Abstract

We present a 4-approximation algorithm for the problem of placing the fewest guards on a 1.5D terrain so that every point of the terrain is seen by at least one guard. This improves on the previous best approximation factor of 5 (see King in Proceedings of the 13th Latin American Symposium on Theoretical Informatics, pp. 629–640, 2006). Unlike most of the previous techniques, our method is based on rounding the linear programming relaxation of the corresponding covering problem. Besides the simplicity of the analysis, which mainly relies on decomposing the constraint matrix of the LP into totally balanced matrices, our algorithm, unlike previous work, generalizes to the weighted and partial versions of the basic problem.