Sorting Visualizer: A Visual Journey Through Sorting Algorithms

Authors

  • Shreya Singh Amity School of Engineering and Technology, Amity University, Uttar Pradesh, Lucknow, India
  • Dr. Shikha Singh Amity School of Engineering and Technology, Amity University, Uttar Pradesh, Lucknow, India
  • Vineet Singh Amity School of Engineering and Technology, Amity University, Uttar Pradesh, Lucknow, India
  • Dr. Bramah Hazela Amity School of Engineering and Technology, Amity University, Uttar Pradesh, Lucknow, India

DOI:

https://doi.org/10.54060/a2zjournals.jieee.107

Keywords:

Sorting, searching, data structures, complexity

Abstract

This paper, which is based on the importance of sorting algorithms, will carefully compare the features of various algorithms, beginning with their work effectiveness, algorithm execution, introductory concepts, sorting styles, and other aspects, and make conclusions in order to create more effective sorting algorithms. Searching techniques and sorting algorithms are not the same. Sorting is placing the provided list in a predetermined order, which can be either ascending or descending, whereas searching is predicated on the possibility of finding a specific item in the list. Only a section of the data is sorted, and the piece of data that's actually used to establish the sorted order is the key. The maturity of this data is being compared. Depending on the kind of data structure, there are several algorithms for doing the same set of duties and other conditioning, and each has pros and cons of its own. Numerous sorting algorithms have been analysed grounded on space and time complexity. The aim of this relative study is to identify the most effective sorting algorithms or styles. This relative study grounded on the same analysis allows the user to select the applicable sorting algorithm for the given situation.

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References

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JIEEE 107

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Published

2024-04-25

How to Cite

[1]
S. Singh, Shikha Singh, Vineet Singh, and Bramah Hazela, “Sorting Visualizer: A Visual Journey Through Sorting Algorithms”, J. Infor. Electr. Electron. Eng., vol. 5, no. 1, pp. 1–9, Apr. 2024.

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