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Algorithmica
Article
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Algorithmica
Article . 1993 . Peer-reviewed
License: Springer TDM
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zbMATH Open
Article . 1993
Data sources: zbMATH Open
DBLP
Article . 1993
Data sources: DBLP
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Sieve algorithms for perfect power testing

Authors: Eric Bach 0001; Jonathan P. Sorenson;

Sieve algorithms for perfect power testing

Abstract

Many tests for primality of \(n\) first require the elimination of the case where \(n\) is a perfect \(k\)-th power. This is negligible compared with the main primality routines, so it is usually ignored. There is a rich variety of methods including Newton's root extraction with starting value found by counting digits, modular tests for \(k\) power and search for small prime divisors (for elimination). On a more sophisticated level there is the (logarithmic number of) parallel processors, and the ERH to bound the trial moduli for power tests. (This requires a small table for efficiency.) The worst case is \(O(\log^ 3 n)\), the average is \(O(\log^ 2 n)\), and \(O(\log n)\) is the median.

Country
United States
Related Organizations
Keywords

Primality, sieve algorithm, Newton's method, Theory and Algorithms, Number Theory, Complexity classes (hierarchies, relations among complexity classes, etc.), parallel algorithms, average-case analysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Average
Top 10%
Average
bronze