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Sorting using a combination of Bubble Sort, Selection Sort & Counting Sort
Author(s) -
Sahil Kumar,
Prerna Singla
Publication year - 2019
Publication title -
international journal of mathematical sciences and computing
Language(s) - English
Resource type - Journals
eISSN - 2310-9033
pISSN - 2310-9025
DOI - 10.5815/ijmsc.2019.02.03
Subject(s) - sort , computer science , sorting algorithm , sorting , code (set theory) , selection (genetic algorithm) , point (geometry) , algorithm , theoretical computer science , artificial intelligence , information retrieval , programming language , mathematics , geometry , set (abstract data type)
One of the most important problems in computer science is the ordering of the data. Although sorting is a very old computer science problem, it still attracts a great deal of research. Usually, when we face a problem, we’re concerned with finding the solution, then getting it out of our heads and into a text editor, white-board, or down on a piece of paper. Eventually, we start transforming that idea into code, and the code is pretty terrible the first time around. But at some point, once we’ve made it work and made it right, we find ourselves asking: Can I make it fast? Can I make it better? This paper presents an enhanced sorting algorithm which comprises of a combination of Bubble Sort, Selection Sort, and Counting Sort. The new algorithm is analyzed, implemented, tested, compared and the results were promising.

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