A novel in-place sorting algorithm with element wise restricted swap

Rupayan Dutta, Sayan Nayak
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Abstract

Constraint based sorting is considered to be one of the fundamental topics of discussion in computer science. Even though a large number of sorting algorithms have already been proposed and verified, but still new algorithms are being developed with respect to emerging problem statements. As sorting is the common operation of many algorithms, so efficient sorting makes easy searching, arranging and locating the information. This paper introduces a novel in-place sorting algorithm which works under the restriction of the number of movements. The restriction of movement is element wise i.e. there is a constraint on the number of movements for a particular element. The proposed algorithm is useful when cost of moving each element is not same and we have to sort the list keeping in mind that elements with higher movement cost should be swapped lesser number of times. In this paper, the algorithm has been presented with time complexity, space complexity analysis and experimental results.
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一种具有元素限制交换的原位排序算法
基于约束的排序被认为是计算机科学讨论的基本主题之一。尽管已经提出并验证了大量的排序算法,但针对新出现的问题陈述,仍在开发新的算法。由于排序是许多算法的共同操作,所以高效的排序使信息的搜索、排列和定位变得容易。本文提出了一种新的在移动次数限制下的原地排序算法。移动的限制是基于元素的,即对于特定元素的移动数量有一个限制。当移动每个元素的成本不相同时,我们必须对列表进行排序,记住具有较高移动成本的元素应该交换较少的次数,该算法非常有用。本文给出了该算法的时间复杂度、空间复杂度分析和实验结果。
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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