Practice Merge Sort: Analysis (14.1) - Merge Sort: Analysis - Design & Analysis of Algorithms

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6 sample questions

Question 1.
What is the time complexity of the merge operation in Merge Sort?
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Think about how you process each element while merging.
Question 2.
Define Merge Sort in one sentence.
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Remember that it breaks the list down into smaller pieces.
3Question 3.
What is the overall time complexity of Merge Sort?
- O(n)
- O(n log n)
- O(n²)
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Recall how the algorithm processes data.
4Question 4.
True or False: Merge Sort can be performed in-place, without additional storage.
- True
- False
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Consider the merging step and its requirements.
Question 5.
Design an iterative version of Merge Sort and explain the changes required compared to the recursive version.
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Think about converting the recursive calls into loops.
Question 6.
Consider a list with duplicate elements. How would the merge function be adjusted to avoid duplicates in the merged output?
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Think how you'd handle equality in the merge step.

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