What is the time complexity of merge sort in the best case?
Understand the Problem
The question is asking for the time complexity of the merge sort algorithm in its best-case scenario. This involves computational performance and efficiency when the algorithm is executed under optimal conditions.
Answer
O(n log n)
The final answer is O(n log n)
Answer for screen readers
The final answer is O(n log n)
More Information
Merge Sort has consistent time complexity across best, average, and worst cases due to its divide-and-conquer approach, which involves dividing the array into halves and merging them.
Tips
A common mistake is assuming the best case complexity would differ due to array order; however, Merge Sort's method of division and merging remains the same.
Sources
- The web page with info on - Example Source - almabetter.com
- Time and Space Complexity Analysis of Merge Sort - GeeksforGeeks - geeksforgeeks.org
- What is the Time Complexity of Merge Sort? - Scaler Topics - scaler.com
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