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ZENODO
Dataset . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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Frobenius Number Benchmark Dataset for Primitive Integer Vectors

Authors: Williams, Aled;

Frobenius Number Benchmark Dataset for Primitive Integer Vectors

Abstract

This dataset contains 25,000 randomly generated primitive integer vectors together with exact Frobenius numbers and associated arithmetic metadata. For a primitive integer vector a = (a1, ..., an), the Frobenius number is the largest integer that cannot be expressed as a nonnegative integer combination of the entries of a. The dataset is intended as a benchmark resource for computational experiments on the Frobenius problem, additive number theory, optimisation, and machine learning for mathematics. It may be useful for algorithm benchmarking, experimental mathematics, and teaching in discrete mathematics, number theory, and Operations Research. The instance families are generated from the parameter sets n = 2, 3, 5, 10, 20, 50, 100, 200, 500, 1000, and M = 100, 1000, 10 000 where n denotes the dimension of the integer vector, and M denotes the upper bound on the vector entries. The release contains all valid parameter pairs with n

Related Organizations
Keywords

Frobenius problem, Operations Research, Additive number theory, Computational number theory, Integer vectors, Operational Research, Numerical semigroups, Optimisation, Frobenius number, Discrete mathematics, Benchmark dataset

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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!
0
Average
Average
Average