Practice Merge Sort: Analysis - 14.1 | 14. Merge Sort: Analysis | Design & Analysis of Algorithms - Vol 1
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the time complexity of the merge operation in Merge Sort?

💡 Hint: Think about how you process each element while merging.

Question 2

Easy

Define Merge Sort in one sentence.

💡 Hint: Remember that it breaks the list down into smaller pieces.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the overall time complexity of Merge Sort?

  • O(n)
  • O(n log n)
  • O(n²)

💡 Hint: Recall how the algorithm processes data.

Question 2

True or False: Merge Sort can be performed in-place, without additional storage.

  • True
  • False

💡 Hint: Consider the merging step and its requirements.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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.

Question 2

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.

Challenge and get performance evaluation