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Linear programming and convex hulls made easy

Published: 01 May 1990 Publication History

Abstract

We present two randomized algorithms. One solves linear programs involving m constraints in d variables in expected time Ο(m). The other constructs convex hulls of n points in Rd, d > 3, in expected time Ο(nd/2⌉). In both bounds d is considered to be a constant. In the linear programming algorithm the dependence of the time bound on d is of the form d!. The main virtue of our results lies in the utter simplicity of the algorithms as well as their analyses.

References

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cover image ACM Conferences
SCG '90: Proceedings of the sixth annual symposium on Computational geometry
May 1990
371 pages
ISBN:0897913620
DOI:10.1145/98524
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 May 1990

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SOCG
SOCG: 6th Annual Conference on Computational Geometry
June 7 - 9, 1990
California, Berkley, USA

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  • (2023)Dwell Regions: Generalized Stay Regions for Streaming and Archival Trajectory DataACM Transactions on Spatial Algorithms and Systems10.1145/35438509:2(1-35)Online publication date: 12-Apr-2023
  • (2020)An Evolutionary Approach to Constructing the Minimum Volume Ellipsoid Containing a Set of Points and the Maximum Volume Ellipsoid Embedded in a Set of PointsJournal of Physics: Conference Series10.1088/1742-6596/1530/1/0120871530(012087)Online publication date: 27-May-2020
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