Practice Merge Sort - 19.1.1 | 19. Mergesort - Part A | Data Structures and Algorithms in Python
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is Merge Sort?

πŸ’‘ Hint: Think about how it divides the list.

Question 2

Easy

What is the time complexity of Merge Sort?

πŸ’‘ Hint: Consider its efficiency compared to simpler sorts.

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^2)
  • O(n log n)
  • O(log n)

πŸ’‘ Hint: Think about its performance with large inputs.

Question 2

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

  • True
  • False

πŸ’‘ Hint: Consider what happens with duplicate elements.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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

πŸ’‘ Hint: Focus on breaking down the list repeatedly.

Question 2

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

πŸ’‘ Hint: Think about how many comparisons simple sorts make versus Merge Sort.

Challenge and get performance evaluation