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Algorithms of the Möbius function by random forests and neural networks

Algorithms of the Möbius function by random forests and neural networks

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f1a40a73cf2a4550b44f7bb29da9ff70

Algorithms of the Möbius function by random forests and neural networks

About this item

Full title

Algorithms of the Möbius function by random forests and neural networks

Author / Creator

Publisher

Cham: Springer International Publishing

Journal title

Journal of Big Data, 2024-12, Vol.11 (1), p.31-14, Article 31

Language

English

Formats

Publication information

Publisher

Cham: Springer International Publishing

More information

Scope and Contents

Contents

The Möbius function
μ
(
n
)
is known for containing limited information on the prime factorization of
n
. Its known algorithms, however, are all based on factorization and hence are exponentially slow on
log
n
. Consequently, a faster algorithm of
μ
(
n
)
could potentially lead to a fast algorithm of pri...

Alternative Titles

Full title

Algorithms of the Möbius function by random forests and neural networks

Authors, Artists and Contributors

Author / Creator

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_f1a40a73cf2a4550b44f7bb29da9ff70

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f1a40a73cf2a4550b44f7bb29da9ff70

Other Identifiers

ISSN

2196-1115

E-ISSN

2196-1115

DOI

10.1186/s40537-024-00889-7

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