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13.2.2. Implementation of Merge Sort
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Practice test
12 questions on this section. Wrong answers show you what to read again.
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Revision test
Mixed questions from across the chapter. Your answers get marked.
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Flashcard drill
3 cards from this lesson. Good the night before a test.
Try these first
- 1.
What is the time complexity of Merge Sort?
Hint
Think about how it compares to other sorting algorithms discussed.
- 2.
Name the three main steps in the Merge Sort algorithm.
Hint
Recall the core principles we discussed.
- 3.
What is the best-case time complexity of Merge Sort?
- O(n)
- O(n²)
- O(n log n)
Hint
Review the performance analysis section.
- 4.
True or False: Merge Sort can be applied to linked lists?
- True
- False
Hint
Think about the nature of linked lists.
- 5.
Given the array [34, 7, 23, 32, 5, 62], explain the full process of Merge Sort step-by-step, including the final merged array.
Hint
Focus on how many times the array is divided and how merging works for each level.
- 6.
Write a full implementation of Merge Sort in any programming language (e.g., Python, Java). Ensure to include edge cases.
Hint
Think about how functions can be defined and how recursion is handled.
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
2 more questions available
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