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14.1. Merge Sort: Analysis
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3 cards from this lesson. Good the night before a test.
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- 1.
What is the time complexity of the merge operation in Merge Sort?
Hint
Think about how you process each element while merging.
- 2.
Define Merge Sort in one sentence.
Hint
Remember that it breaks the list down into smaller pieces.
- 3.
What is the overall time complexity of Merge Sort?
- O(n)
- O(n log n)
- O(n²)
Hint
Recall how the algorithm processes data.
- 4.
True or False: Merge Sort can be performed in-place, without additional storage.
- True
- False
Hint
Consider the merging step and its requirements.
- 5.
Design an iterative version of Merge Sort and explain the changes required compared to the recursive version.
Hint
Think about converting the recursive calls into loops.
- 6.
Consider a list with duplicate elements. How would the merge function be adjusted to avoid duplicates in the merged output?
Hint
Think how you'd handle equality in the merge step.
Exercises
Total Questions
2
Estimated Time
4 min
Passing Score
70%
Instructions
- Read each question carefully
- You can use hints if you need help
- Complete all questions before submitting
4 more questions available
Enrol freeQuiz
Total Questions
2
Estimated Time
4 min
Passing Score
70%
Instructions
- Read each question carefully
- You can use hints if you need help
- Complete all questions before submitting
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Enrol freeChallenge Problems
Total Questions
2
Estimated Time
4 min
Passing Score
70%
Instructions
- Read each question carefully
- You can use hints if you need help
- Complete all questions before submitting