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Analysis of Comparison Based Sorting Algorithms

Author(s):

Atitesh Gaurav , LAKSHMI NARIAN COLLEGE OF TECHNOLOGY BHOPAL

Keywords:

Algorithm, Complexity, Bubble Sort, Selection Sort, Quick Sort and Insertion Sort, Complexity, Merge Sort, Best Case, Average Case and Worst Case, Comparison Based Sorting Algorithms

Abstract

An algorithm is a set of steps of operations to solve a problem performing calculation, data processing, and automated reasoning tasks. Sorting is an important issue in Data Structure which creates the sequence of the list of items. Although numbers of sorting algorithms are available, it is all the more necessary to select the most efficient sorting algorithm. Sorting algorithms are usually judged by their efficiency. The efficiency of a sorting algorithm is related to the number of items being processed. Sorting is the procedure of ordering list of elements in ascending or descending with the help of key value in specific order. We will see how Comparison Based sorting algorithms perform operation and then distinguish them based on various constraints to come with outcome. Here efficiency refers to the algorithmic efficiency as the size of the input grows large and is generally based on the number of elements to sort. In this paper, we have implemented different types of Comparison Based sorting algorithms like Insertion sort, Selection sort and Merge sort with their analysis in term of worst, average, and best case.

Other Details

Paper ID: IJSRDV7I40822
Published in: Volume : 7, Issue : 4
Publication Date: 01/07/2019
Page(s): 729-731

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