We consider variants of the metric k-center problem. Imagine that you must choose locations for k firehouses in a city so as to minimize the maximum distance of a house from the nearest firehouse. An instance is specified by a graph with arbitrary nonnegative edge lengths, a set of vertices that can serve as firehouses (i.e., centers) and a set of vertices that represent houses. For general graphs, this problem is exactly equivalent to the metric k-center problem, which is APX-hard. We give a polynomial-time bicriteria approximation scheme when the input graph is a planar graph. We also give polynomial-time bicriteria approximation schemes for several generalizations: if, instead of all houses, we wish to cover a specified proportion of the houses; if the candidate locations for firehouses have rental costs and we wish to minimize not the number of firehouses but the sum of their rental costs; and if the input graph is not planar but is of bounded genus. Copyright © 2014 by the Society for Industrial and Applied Mathematics.
CITATION STYLE
Eisenstat, D., Klein, P. N., & Mathieu, C. (2014). Approximating k-center in planar graphs. In Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms (pp. 617–627). Association for Computing Machinery. https://doi.org/10.1137/1.9781611973402.47
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