墙-L合并排序:用于各种计算环境的可调和自适应的排序算法
Mohammad Abdur Rob1, Md Zakir Hossen1, Md Kamal Hossen1
1Department of Computer Science and Engineering, Dhaka University of Engineering & Technology (DUET), Gazipur, Bangladesh.
PloS one
|February 2, 2026
概括
这项研究介绍了Wall-L Merge Sort,一种新的排序算法. 它适应其时间复杂性,在各种计算平台和输入大小中提供灵活性.
科学领域:
- 计算机科学 计算机科学
- 算法分析 算法分析
背景情况:
- 传统的排序算法表现出刚性结构,限制了特定平台的效率.
- 现有的算法在耐药平台上经常失败或需要辅助功能.
研究的目的:
- 介绍Wall-L合并排序,一种具有可适应时间复杂性的新算法.
- 在各种计算环境中展示其灵活性和效率.
主要方法:
- 开发了Wall-L合并排序,将二次排序与多层合并策略集成在一起.
- 引入了一个参数L来控制合并层,使复杂性从O(n^2) 过渡到O(n log n).
主要成果:
- 墙壁L排序通过参数L证明可调节的时间复杂性从O(n^2) 到O(n log n) 通过参数L.
- 该算法有效地处理各种输入大小和抗性平台,在特定场景中表现优于其他方法.
- 墙壁L排序集成复杂度调整,缓存效率,递归控制,并行性和适应性.
结论:
- 华尔-L合并排序提供了一个独特的,可适应的框架,用于排序各种数据.
- 它的灵活性使其适用于各种平台,从嵌入式系统到大规模计算.
- 理论和经验证据支持其在处理各种计算需求方面的优势.
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