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Census algorithms for chinese remainder pseudorank

Published online by Cambridge University Press:  14 August 2007

David Laing
Affiliation:
School of Information Technology, James Cook University, Townsville, Qld. 4811, Australia; bruce@cs.jcu.edu.au; david.laing1@jcu.edu.au
Bruce Litow
Affiliation:
School of Information Technology, James Cook University, Townsville, Qld. 4811, Australia; bruce@cs.jcu.edu.au; david.laing1@jcu.edu.au
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Abstract

We investigate the density and distribution behaviors of the chinese remainder representationpseudorank. We give a very strong approximation to density, and derive two efficientalgorithms to carry out an exact count (census) of the bad pseudorank integers. One ofthese algorithms has been implemented, giving results in excellent agreement withour density analysis out to 5189-bit integers.

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Type
Research Article
Copyright
© EDP Sciences, 2007

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