Comparison study of sorting techniques in dynamic data structure

Sorting is an important and widely studied issue, where the execution time and the required resources for computation is of extreme importance, especially if it is dealing with real-time data processing. Therefore, it is important to study and to compare in details all the available sorting algorith...

Full description

Saved in:

Bibliographic Details
Main Author:	Abbas, Zeyad Adnan
Format:	Thesis
Language:	English English English
Published:	2016
Subjects:	QA75-76.95 Calculating machines
Online Access:	http://eprints.uthm.edu.my/930/1/24p%20ZEYAD%20ADNAN%20ABBAS.pdf http://eprints.uthm.edu.my/930/2/ZEYAD%20ADNAN%20ABBAS%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/930/3/ZEYAD%20ADNAN%20ABBAS%20WATERMARK.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uthm-ep.930
record_format	uketd_dc
spelling	my-uthm-ep.9302021-09-09T06:05:09Z Comparison study of sorting techniques in dynamic data structure 2016-03 Abbas, Zeyad Adnan QA75-76.95 Calculating machines Sorting is an important and widely studied issue, where the execution time and the required resources for computation is of extreme importance, especially if it is dealing with real-time data processing. Therefore, it is important to study and to compare in details all the available sorting algorithms. In this project, an intensive investigation was conducted on five algorithms, namely, Bubble Sort, Insertion Sort, Selection Sort, Merge Sort and Quick Sort algorithms. Four groups of data elements were created for the purpose of comparison process among the different sorting algorithms. All the five sorting algorithms are applied to these groups. The worst time complexity for each sorting technique is then computed for each sorting algorithm. The sorting algorithms were classified into two groups of time complexity, O (n2) group and O(nlog2n) group. The execution time for the five sorting algorithms of each group of data elements were computed. The fastest algorithm is then determined by the estimated value for each sorting algorithm, which is computed using linear least square regression. The results revealed that the Merge Sort was more efficient to sort data from the Quick Sort for O(nlog2n) time complexity group. The Insertion Sort had more efficiency to sort data from Selection Sort and Bubble Sort for O (n2) group. Bubble Sort was the slowest or it was less efficient to sort the data. In conclusion, the efficiency of sorting algorithms can be ranked from highest to lowest as Merge Sort, Quick Sort, Insertion Sort, Selection Sort and Bubble Sort. 2016-03 Thesis http://eprints.uthm.edu.my/930/ http://eprints.uthm.edu.my/930/1/24p%20ZEYAD%20ADNAN%20ABBAS.pdf text en public http://eprints.uthm.edu.my/930/2/ZEYAD%20ADNAN%20ABBAS%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/930/3/ZEYAD%20ADNAN%20ABBAS%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Faculty of Computer Science and Information Technology
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	QA75-76.95 Calculating machines
spellingShingle	QA75-76.95 Calculating machines Abbas, Zeyad Adnan Comparison study of sorting techniques in dynamic data structure
description	Sorting is an important and widely studied issue, where the execution time and the required resources for computation is of extreme importance, especially if it is dealing with real-time data processing. Therefore, it is important to study and to compare in details all the available sorting algorithms. In this project, an intensive investigation was conducted on five algorithms, namely, Bubble Sort, Insertion Sort, Selection Sort, Merge Sort and Quick Sort algorithms. Four groups of data elements were created for the purpose of comparison process among the different sorting algorithms. All the five sorting algorithms are applied to these groups. The worst time complexity for each sorting technique is then computed for each sorting algorithm. The sorting algorithms were classified into two groups of time complexity, O (n2) group and O(nlog2n) group. The execution time for the five sorting algorithms of each group of data elements were computed. The fastest algorithm is then determined by the estimated value for each sorting algorithm, which is computed using linear least square regression. The results revealed that the Merge Sort was more efficient to sort data from the Quick Sort for O(nlog2n) time complexity group. The Insertion Sort had more efficiency to sort data from Selection Sort and Bubble Sort for O (n2) group. Bubble Sort was the slowest or it was less efficient to sort the data. In conclusion, the efficiency of sorting algorithms can be ranked from highest to lowest as Merge Sort, Quick Sort, Insertion Sort, Selection Sort and Bubble Sort.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Abbas, Zeyad Adnan
author_facet	Abbas, Zeyad Adnan
author_sort	Abbas, Zeyad Adnan
title	Comparison study of sorting techniques in dynamic data structure
title_short	Comparison study of sorting techniques in dynamic data structure
title_full	Comparison study of sorting techniques in dynamic data structure
title_fullStr	Comparison study of sorting techniques in dynamic data structure
title_full_unstemmed	Comparison study of sorting techniques in dynamic data structure
title_sort	comparison study of sorting techniques in dynamic data structure
granting_institution	Universiti Tun Hussein Onn Malaysia
granting_department	Faculty of Computer Science and Information Technology
publishDate	2016
url	http://eprints.uthm.edu.my/930/1/24p%20ZEYAD%20ADNAN%20ABBAS.pdf http://eprints.uthm.edu.my/930/2/ZEYAD%20ADNAN%20ABBAS%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/930/3/ZEYAD%20ADNAN%20ABBAS%20WATERMARK.pdf
_version_	1747830716284010496

Comparison study of sorting techniques in dynamic data structure

Similar Items