Practice Merge Sort (19.1.1) - Mergesort - Part A - Data Structures and Algorithms in Python
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Merge Sort

Practice - Merge Sort

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is Merge Sort?

💡 Hint: Think about how it divides the list.

Question 2 Easy

What is the time complexity of Merge Sort?

💡 Hint: Consider its efficiency compared to simpler sorts.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the time complexity of Merge Sort?

O(n^2)
O(n log n)
O(log n)

💡 Hint: Think about its performance with large inputs.

Question 2

True or False: Merge Sort is a stable sorting algorithm.

True
False

💡 Hint: Consider what happens with duplicate elements.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given the list [12, 11, 13, 5, 6, 7], apply the Merge Sort algorithm step-by-step.

💡 Hint: Focus on breaking down the list repeatedly.

Challenge 2 Hard

Why does Merge Sort have a better time complexity than other simple sorting algorithms when dealing with large datasets?

💡 Hint: Think about how many comparisons simple sorts make versus Merge Sort.

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Reference links

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