质数筛分--系统回顾与性能分析

Algorithms Pub Date : 2024-04-14 DOI:10.3390/a17040157
Mircea Ghidarcea, Decebal Popescu
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引用次数: 0

摘要

自 20 世纪 90 年代以来,质数的系统生成几乎被忽视了,当时与质数有关的大部分信息技术研究资源都转移到了对超大质数在密码学中的应用的研究上,而对筛分等技术的进一步了解却少之又少。目前,筛分技术主要用于教学目的,在这一领域似乎没有取得真正的进展。本系统综述分析了筛分技术迄今为止取得的理论进展。研究遵循 PRISMA 2020 指南,并使用三个成熟的数据库进行:Web of Science、IEEE Xplore 和 Scopus。我们有条不紊的综述旨在对筛分技术的进展提供一个广泛的概述--遗憾的是,在过去的 20 年中,该领域没有取得任何重大进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prime Number Sieving—A Systematic Review with Performance Analysis
The systematic generation of prime numbers has been almost ignored since the 1990s, when most of the IT research resources related to prime numbers migrated to studies on the use of very large primes for cryptography, and little effort was made to further the knowledge regarding techniques like sieving. At present, sieving techniques are mostly used for didactic purposes, and no real advances seem to be made in this domain. This systematic review analyzes the theoretical advances in sieving that have occurred up to the present. The research followed the PRISMA 2020 guidelines and was conducted using three established databases: Web of Science, IEEE Xplore and Scopus. Our methodical review aims to provide an extensive overview of the progress in prime sieving—unfortunately, no significant advancements in this field were identified in the last 20 years.
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