“…In addition, several studies have been conducted so far on the improvement, compare and analysis of sorting algorithms. These studies are about Quicksort [23], The Analysis of Quicksort Programs [24] ,Running time of the Treapsort algorithm [25], QuickSort A Historical Perspective and Empirical Study [26], Efficient unbalanced merge-sort [27], Enhanced Merge Sort-a new approach to the merging process [28], Sorting and selection on dynamic data [29], SA Sorting: A Novel Sorting Technique for Large-Scale Data [30], Sorting Algorithms in MOQA [31], A new sorting algorithm [32], On demand string sorting over unbounded alphabets [33], Centroid Sort: a Clustering-based Technique for Accelerating Sorting Algorithms [34], Efficient sample sort and the average case analysis of PEsort [35], Analysis of Linear Time Sorting Algorithms [36], A Comprehensive Note on Complexity Issues in Sorting Algorithms [37], Comparison Analysis of Best Sorting Algorithms [38], Comparison of Sorting Algorithms based on Input Sequences [39], Optimized Selection Sort Algorithm is faster than Insertion Sort Algorithm: a Comparative Study [40], Randomized Shellsort: A Simple Oblivious Sorting Algorithm [41], An Enhancement of Major Sorting Algorithms [42], MinFinder: A New Approach in Sorting Algorithm [43].…”