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07-05-2022

Optimal selection for good polynomials of degree up to five

Authors: Austin Dukes, Andrea Ferraguti, Giacomo Micheli

Published in: Designs, Codes and Cryptography | Issue 6/2022

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Abstract

The article delves into the construction of optimal locally recoverable codes (LRCs) using good polynomials of degree up to five. It introduces the concept of LRCs and their minimum distance bounds, focusing on the use of good polynomials to achieve optimal LRCs. The authors provide explicit estimates and examples of such polynomials for various prime powers and localities, leveraging Galois theory, the classification of transitive subgroups, and the theory of function fields. The work completes and extends previous research by providing the best possible parameters for polynomials of degree up to five and discussing the implications for higher degrees. The article concludes with a discussion on the behavior of the function for higher degrees, suggesting avenues for future research.
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Metadata
Title
Optimal selection for good polynomials of degree up to five
Authors
Austin Dukes
Andrea Ferraguti
Giacomo Micheli
Publication date
07-05-2022
Publisher
Springer US
Published in
Designs, Codes and Cryptography / Issue 6/2022
Print ISSN: 0925-1022
Electronic ISSN: 1573-7586
DOI
https://doi.org/10.1007/s10623-022-01046-y

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