Practice Conclusion and Future Directions - 14.1.8 | 14. Merge Sort: Analysis | Design & Analysis of Algorithms - Vol 1
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Conclusion and Future Directions

14.1.8 - Conclusion and Future Directions

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Learning

Practice Questions

Test your understanding with targeted questions

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.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

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

💡 Hint: Consider how to handle duplicates while merging.

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