解决基于全球深度网格基于算法的整数模两可
1Henan College of Transportation, Zhengzhou, 454052, China. 1871646524@qq.com.
Scientific reports
|November 23, 2023
概括
本研究介绍了全球深度插入并行格子减少 (GS-PLLL) 算法,以改善整数模两可的解决方案. 与LLL和PotLLL等现有方法相比,GS-PLLL提高了减少效率和效果.
科学领域:
- 地质测量是指地质测量.
- 计算数学 计算数学 计算数学
- 信号处理 信号处理
背景情况:
- 在各种科学领域中,整数模两可的解决方法至关重要.
- 通常使用的是网格理论和LLL等基础减小算法.
- 现有的算法 (DeepLLL,PotLLL) 在降低效果或效率方面存在局限性.
研究的目的:
- 提出一种新的算法,全球深度插入并行格子减少 (GS-PLLL),以实现高效的整数模两可解决.
- 为了增强电网基础减少的减少效应和计算效率.
主要方法:
- 开发了具有全球深度插入策略的GS-PLLL算法.
- 嵌入式旋转分类用于预先调整网格基础.
- 对LLL,DeepLLL和PotLLL算法进行了比较评估.
主要成果:
- 与PotLLL相比,GS-PLLL显示出更强的降温效应.
- 拟议的算法实现了降温效率的提高.
- 实验结果验证了GS-PLLL在模拟和现实世界的测量中的有效性.
结论:
- GS-PLLL在整数模两可的解决方案方面取得了重大进展.
- 该算法有效地平衡了减少效应和计算效率.
- 对于需要精确的整数模糊性确定的应用程序,GS-PLLL是一个有希望的替代方案.
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