融合排序算法是一种分而治之的排序方法,具有0 (nloglog)的时间复杂度和线性空间复杂度

Yashwant Singh Patel, N. Singh, Lalit Kumar Vashishtha
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引用次数: 1

摘要

计算复杂性是计算机科学领域的一个基础研究领域。它引起了许多研究者的兴趣。过去,各种研究人员提出了大量的排序算法。要有效地优化任何具有大量元素的排序问题,现有的排序技术平均需要O(nlogn)时间。本文提出了一种基于分治法的新的排序技术,称为融合排序算法,这是一种在0 (nloglog)时间和线性空间上基于比较的排序方法。对所提出的排序算法进行了先验分析和数学分析,并以合并排序为例进行了考虑多种因素的分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuse sort algorithm a proposal of divide & conquer based sorting approach with O(nloglogn) time and linear space complexity
Computational Complexity is a fundamental research area in the field of computer science. It has attracted lots of interest of various researchers. In past, vast number of sorting algorithms has been proposed by various researchers. To efficiently optimize any sorting problem having large number of elements requires O(nlogn) time in average case by existing sorting techniques. This paper presents a new sorting technique based on divide & conquer approach, named as Fuse sort algorithm, an approach of comparison based sorting with O(nloglogn) time and linear space. The priory and mathematical analysis of proposed sorting algorithm is given and a case study with merge sort is performed based on several factors.
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