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Randomized geometric algorithms and pseudorandom generators
Authors:K. Mulmuley
Affiliation:(1) Department of Computer Science, University of Chicago, 1100 E 58th Street, 60637 Chicago, IL, USA
Abstract:It is shown that the bounds on the expected running times of most of the randomized incremental algorithms in computational geometry do not change by more than a constant factor when they are made pseudorandom using a very simple scheme. This reduces the number of random bits used by these algorithms from OHgr(nlogn) toO(logn).This research was supported by Packard fellowship.
Keywords:Randomized geometric algorithms  Pseudorandom generators
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