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by Pankaj K. Agarwal, Julien Basch, Mark De Berg, Leonidas J. Guibas, John Hershberger
In Proc. 15th ACM Symp. on Computational Geometry
ftp://ftp.cs.uu.nl/pub/RUU/CS/techreps/CS-1999/1999-40.ps.gz
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Abstract:
We revisit the notion of kinetic eciency for non-canonically-dened discrete attributes of moving data, like binary space partitions and triangulations. Under very general computational models, we obtain lower bounds on the minimum amount of work required to maintain any binary space partition of moving segments in the plane or any Steiner triangulation of moving points in the plane. Such lower bounds|the rst to be obtained in the kinetic context|are necessary to evaluate the eciency of kinetic data structures when the attribute to be maintained is not canonically dened. 1
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