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Article . 2024 . Peer-reviewed
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Article . 2024
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Construction of Optimal Orthogonal Partition

Construction of optimal orthogonal partition
Authors: Jing Wang; Yaoxin Ren; Xiao Lin; Shanqi Pang;

Construction of Optimal Orthogonal Partition

Abstract

ABSTRACT Orthogonal partitions play a crucial role in orthogonal array theory, design of experiments and quantum information theory. The optimisation of orthogonal partitions can improve the saturation percentages of orthogonal arrays (OAs) obtained by the orthogonal partition method. In particular, optimal orthogonal partitions of strength 1 are of great practical utility. However, there is still a scarcity of results about orthogonal partitions, especially optimal ones. In this paper, the definition of an optimal orthogonal partition is proposed, and we construct optimal orthogonal partitions of OAs by several construction methods, such as orthogonal partition method, difference scheme construction, generalised product construction and construction. As an application, we obtain various optimal orthogonal partitions and OAs with higher saturation percentages.

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Keywords

optimisation, Statistics, high-strength orthogonal array, orthogonal partition, Hadamard matrix, difference scheme

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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
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