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Different Sorting Algorithms comparison based
upon the Time Complexity
Article
· September 2020
DOI: 10.1729/Journal.24472
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Different Sorting Algorithms comparison based upon the Time Complexity
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Yash Chauhan
Parul Universiy
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© 2020 IJRAR September 2020, Volume 7, Issue 3 www.ijrar.org (
E-ISSN 2348-1269, P- ISSN 2349-5138
)
IJRAR19L2026
International Journal of Research and Analytical Reviews (IJRAR)
www.ijrar.org
114
Different Sorting Algorithms comparison
based upon the Time Complexity
Yash Chauhan
#1
, Anuj Duggal
*2
#
Parul Institute of Engineering and Technology, Parul University
Po.Limda, Vadodara
*
Intel Technology India Pvt. Ltd.
Deverabeesanahalli, Bangalore.
Abstract :
Sorting is a huge demand research area in computer science and one of the most basic research fields in computer science. The
sorting algorithms problem has attracted a great deal of study in computer science. The main aim of using sorting
algorithms is to make the
record easier to search, insert, and delete. We’re analysing a total of five sorting algorithms: bubble sort, selecting sort, insertion sort, merge sort
and quick sort, the time and space complexity were summarized. Moreover from the aspects of the input sequence, some results were obtained
based on the experiments. So we analysed that when the size of data is small, insertion sort or selection sort
performs well and when the
sequence is in the ordered form, insertion sort or bubble sort performs well. In this paper, we present a general result of the analysis of sorting
algorithms and their properties. In this paper a comparison is made for different sorting algorithms.
