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An expander-based approach to geometric optimization

Published: 01 July 1993 Publication History

Abstract

We present a new approach to problems in geometric optimization that are traditionally solved using the parametric searching technique of Megiddo. Our new approach is based on expander graphs and is conceptually much simpler and has more explicit geometric flavor. It does not require parallelization or randomization, and it exploits recent range-searching techniques of Matousˇek and others. We exemplify the technique on three problems, the slope selection problem, the planar distance selection problem, and the planar two-center problem. For the first problem we develop an O(n log3n)) solution, which, although suboptimal, is very simple. The second and third problems are more typical examples of our approach. Our solutions have, respectively, running time O(n4/3 log3+δ n), for any δ > 0, and O(n2 log3 n), comparable with the respective solutions of [2, 5].

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cover image ACM Conferences
SCG '93: Proceedings of the ninth annual symposium on Computational geometry
July 1993
406 pages
ISBN:0897915828
DOI:10.1145/160985
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 July 1993

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9SCG93
9SCG93: Ninth Symposium on Computational Geometry
May 18 - 21, 1993
California, San Diego, USA

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