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Article
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SIAM Journal on Computing
Article . 1982 . Peer-reviewed
Data sources: Crossref
DBLP
Article . 1982
Data sources: DBLP
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On Primality Tests

On primality tests
Authors: Daniel J. Lehmann;

On Primality Tests

Abstract

Whether an odd number m is prime can be decided on the knowledge of the image of the function $a \mapsto a^{(m - 1)/2} (m)$. As a consequence, an algorithm for testing primality is proposed (under the extended Riemann hypothesis) which is more efficient than ones proposed by Miller [Pros. 7th ACM Symp. Theory of Computing, 1975, pp. 234–239] and Velu [SIGACT News, 10 (1978), pp. 58–59]. A probabilistic version is compared with the algorithm of Solovay and Strassen [SIAM J. Comput., 6 (1977), pp. 84–85; erratum, 7 (1978), p. 118].

Keywords

comparison, probabilistic algorithm, Analysis of algorithms and problem complexity, primality test, extended Riemann hypothesis, Primes

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    17
    popularity
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    influence
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
17
Average
Top 10%
Top 10%
bronze