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Bounded boxes, Hausdorff distance, and a new proof of an interesting Helly-type theorem

Published: 10 June 1994 Publication History

Abstract

In the first part of this paper, we reduce two geometric optimization problems to convex programming: finding the largest axis-aligned box in the intersection of a family of convex sets, and finding the translation and scaling that minimizes the Hausdorff distance between two polytopes. These reductions imply that important cases of these problems can be solved in expected linear time. In the second part of the paper, we use convex programming to give a new, short proof of an interesting Helly-type theorem, first conjectured by Gru¨nbaum and Motzkin.

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cover image ACM Conferences
SCG '94: Proceedings of the tenth annual symposium on Computational geometry
June 1994
400 pages
ISBN:0897916484
DOI:10.1145/177424
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: 10 June 1994

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SCG94
SCG94: Tenth Symposium on Computational Geometry
June 6 - 8, 1994
New York, Stony Brook, USA

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