In the worst case, what is the time complexity of Merge Sort?

Practice Questions

Q1
In the worst case, what is the time complexity of Merge Sort?
  1. O(n)
  2. O(n log n)
  3. O(n^2)
  4. O(log n)

Questions & Step-by-Step Solutions

In the worst case, what is the time complexity of Merge Sort?
  • Step 1: Understand that Merge Sort is a sorting algorithm that works by dividing an array into smaller parts.
  • Step 2: Realize that in each step, the array is split into two halves until each part has only one element.
  • Step 3: Note that splitting the array takes log(n) steps because you keep dividing by 2.
  • Step 4: After splitting, you need to merge the parts back together, which takes linear time, O(n), for each level of division.
  • Step 5: Combine the two parts: Since you have log(n) levels of division and each level takes O(n) time to merge, the total time is O(n log n).
  • Step 6: Conclude that in the worst case, Merge Sort will always take O(n log n) time to sort an array.
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