Some types of sorting algorithms

A number of sorting algorithms will be discussed and implemented in practice using JavaScript; the complexity level of each algorithm will be progressively increased.

• Selection Sort (O(n²) best, average, and worst case):

  Selection sort is consistently O(n²) across all scenarios and is generally considered the least efficient of these three quadratic algorithms due to its non-adaptive nature.

• Bubble Sort (O(n²) average and worst case; O(n) best case):

  This algorithm is generally inefficient for large lists, with a quadratic time complexity in the average and worst cases.

• Insertion Sort (O(n²) average and worst case; O(n) best case):

  While O(n²) on average, it tends to perform better in practice than bubble or selection sort, especially on data that is already nearly sorted.

• Merge Sort (O(n log n) average and worst case):

  Merge sort is consistently efficient in all cases, making it a highly predictable and fast algorithm for large datasets.

• Quick Sort (O(n log n) average case; O(n²) worst case):

  Quick sort is very efficient on average. Its performance can degrade to O(n²) in the worst case, but