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Integer factorization records and Peter Montgomery (mathematician)

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Integer factorization records and Peter Montgomery (mathematician)

Integer factorization records vs. Peter Montgomery (mathematician)

Integer factorization is the process of determining which prime numbers divide a given positive integer. Peter Lawrence Montgomery (born 25 September 1947) is an American mathematician who has published widely in the more mathematical end of the field of cryptography.

Similarities between Integer factorization records and Peter Montgomery (mathematician)

Integer factorization records and Peter Montgomery (mathematician) have 3 things in common (in Unionpedia): Cryptography, General number field sieve, Quadratic sieve.

Cryptography

Cryptography or cryptology (from κρυπτός|translit.

Cryptography and Integer factorization records · Cryptography and Peter Montgomery (mathematician) · See more »

General number field sieve

In number theory, the general number field sieve (GNFS) is the most efficient classical algorithm known for factoring integers larger than.

General number field sieve and Integer factorization records · General number field sieve and Peter Montgomery (mathematician) · See more »

Quadratic sieve

The quadratic sieve algorithm (QS) is an integer factorization algorithm and, in practice, the second fastest method known (after the general number field sieve).

Integer factorization records and Quadratic sieve · Peter Montgomery (mathematician) and Quadratic sieve · See more »

The list above answers the following questions

Integer factorization records and Peter Montgomery (mathematician) Comparison

Integer factorization records has 32 relations, while Peter Montgomery (mathematician) has 19. As they have in common 3, the Jaccard index is 5.88% = 3 / (32 + 19).

References

This article shows the relationship between Integer factorization records and Peter Montgomery (mathematician). To access each article from which the information was extracted, please visit:

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