Benchmarking of algorithms for set partitions

Fuente: arXiv
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Autori principali: Khinvasara, Arnav, Pikovski, Alexander
Natura: Preprint
Pubblicazione: 2026
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author Khinvasara, Arnav
Pikovski, Alexander
author_facet Khinvasara, Arnav
Pikovski, Alexander
contents Set partitions are arrangements of distinct objects into groups. The problem of listing all set partitions arises in a variety of settings, in particular in combinatorial optimization tasks. After a brief review, we give practical approximate formulas for determining the number of set partitions, both for small and large set sizes. Several algorithms for enumerating all set partitions are reviewed, and benchmarking tests were conducted. The algorithm of Djokic et al. is recommended for practical use.
format Preprint
id arxiv_https___arxiv_org_abs_2602_01350
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Benchmarking of algorithms for set partitions
Khinvasara, Arnav
Pikovski, Alexander
Data Structures and Algorithms
Discrete Mathematics
Software Engineering
Combinatorics
05A18, 05A15, 68R05, 90C27
F.2; G.2.1; F.2; G.2.2
Set partitions are arrangements of distinct objects into groups. The problem of listing all set partitions arises in a variety of settings, in particular in combinatorial optimization tasks. After a brief review, we give practical approximate formulas for determining the number of set partitions, both for small and large set sizes. Several algorithms for enumerating all set partitions are reviewed, and benchmarking tests were conducted. The algorithm of Djokic et al. is recommended for practical use.
title Benchmarking of algorithms for set partitions
topic Data Structures and Algorithms
Discrete Mathematics
Software Engineering
Combinatorics
05A18, 05A15, 68R05, 90C27
F.2; G.2.1; F.2; G.2.2
url https://arxiv.org/abs/2602.01350