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 currently best approximation factor of 5 (J. King, 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.
@InProceedings{elbassioni_et_al:LIPIcs.STACS.2009.1841, author = {Elbassioni, Khaled and Krohn, Erik and Matijevic, Domagoj and Mestre, Julian and Severdija, Domagoj}, title = {{Improved Approximations for Guarding 1.5-Dimensional Terrains}}, booktitle = {26th International Symposium on Theoretical Aspects of Computer Science}, pages = {361--372}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-939897-09-5}, ISSN = {1868-8969}, year = {2009}, volume = {3}, editor = {Albers, Susanne and Marion, Jean-Yves}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.STACS.2009.1841}, URN = {urn:nbn:de:0030-drops-18410}, doi = {10.4230/LIPIcs.STACS.2009.1841}, annote = {Keywords: Covering problems, Guarding 1.5-terrains, Approximation algorithms, Linear programming, Totally balanced matrices} }
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