A New Random Sampling Method and Its Application in Improving Progressive BKZ Algorithm

IF 2.6 3区数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Journal of Systems Science & Complexity Pub Date : 2023-10-25 DOI:10.1007/s11424-023-3107-7

Minghao Sun, Shixiong Wang, Hao Chen, Longjiang Qu

引用次数: 0

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一种新的随机抽样方法及其在改进渐进式BKZ算法中的应用

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Systems Science & Complexity 数学-数学跨学科应用

CiteScore

3.80

自引率

9.50%

发文量

审稿时长

6-12 weeks

期刊介绍： The Journal of Systems Science and Complexity is dedicated to publishing high quality papers on mathematical theories, methodologies, and applications of systems science and complexity science. It encourages fundamental research into complex systems and complexity and fosters cross-disciplinary approaches to elucidate the common mathematical methods that arise in natural, artificial, and social systems. Topics covered are: complex systems, systems control, operations research for complex systems, economic and financial systems analysis, statistics and data science, computer mathematics, systems security, coding theory and crypto-systems, other topics related to systems science.