From the above analysis, we can see that merge sort and quicksort have the same best-case and average-case time complexities of O(n log n), but merge sort has a better worst-case time complexity ...

The best-case time complexity of merge sort is O(n log n), where n is the size of the input array. This means that the algorithm grows proportionally to the product of n and the logarithm of n.

The merge sort technique is based on divide and conquer technique. We divide the while data set into smaller parts and merge them into a larger piece in sorted order. It is also very effective for ...

Sorting algorithms are essential for organizing data in a specific order, making them a critical component of computing processes. Due to their significance, many researchers have developed various ...