Data Structures and Algorithms The Complete Masterclass - Merge Sort Complexity

The video tutorial explains the complexity of merge sort, highlighting its O(N log N) time complexity. It covers the process of logarithmic decomposition and element comparisons at each level of the algorithm. The tutorial also discusses the best, worst, and average cases, emphasizing that the complexity remains consistent regardless of input. The logic and implementation of merge sort are detailed, followed by an analysis of its time and space complexity, which is O(N) for space due to the need for additional storage.

How does merge sort handle different types of input?

What is the space complexity of merge sort and why?

Describe the divide and conquer strategy used in merge sort.