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Ahrendt, W., Beckert, B., Bubel, R., et al. (2016) Lecture Notes in Computer Science. In: Ahrendt, W., Beckert, B., Bubel, R., H?hnle, R., Schmitt, P.H. and Ulbrich, M., Eds., Deductive Software Verification—The Key Book, SpringerLink, Berlin.

has been cited by the following article:

• TITLE: Improvement of Counting Sorting Algorithm

  AUTHORS: Chenglong Song, Haiming Li

  KEYWORDS: Sort Algorithm, Counting Sorting Algorithms, Complexity, Internal Features

  JOURNAL NAME: Journal of Computer and Communications, Vol.11 No.10, October 12, 2023

  ABSTRACT: By analyzing the internal features of counting sorting algorithm. Two improvements of counting sorting algorithms are proposed, which have a wide range of applications and better efficiency than the original counting sort while maintaining the original stability. Compared with the original counting sort, it has a wider scope of application and better time and space efficiency. In addition, the accuracy of the above conclusions can be proved by a large amount of experimental data.