Practice Conclusion and Future Directions - 14.1.8 | 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 merge sort?

💡 Hint: Think about how it compares to O(n²).

Question 2

Easy

What is one limitation of merge sort?

💡 Hint: Consider how merging two lists works.

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 time complexity of merge sort?

  • O(n)
  • O(n²)
  • O(n log n)

💡 Hint: Compare with other sorting algorithms' complexities.

Question 2

Merge sort is an in-place sorting algorithm. True or False?

  • True
  • False

💡 Hint: Think about how merge sort handles lists during operations.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design an iterative version of merge sort that minimizes space usage.

💡 Hint: Think about how you can work with elements without needing an entirely new list.

Question 2

Implement a function that performs set intersection using merge sort's merge process.

💡 Hint: Consider how to handle duplicates while merging.

Challenge and get performance evaluation