Practice Implementation of Merge Sort - 13.2.2 | 13. Merge Sort | 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 other sorting algorithms discussed.

Question 2

Easy

Name the three main steps in the Merge Sort algorithm.

💡 Hint: Recall the core principles we discussed.

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 best-case time complexity of Merge Sort?

  • O(n)
  • O(n²)
  • O(n log n)

💡 Hint: Review the performance analysis section.

Question 2

True or False: Merge Sort can be applied to linked lists?

  • True
  • False

💡 Hint: Think about the nature of linked lists.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given the array [34, 7, 23, 32, 5, 62], explain the full process of Merge Sort step-by-step, including the final merged array.

💡 Hint: Focus on how many times the array is divided and how merging works for each level.

Question 2

Write a full implementation of Merge Sort in any programming language (e.g., Python, Java). Ensure to include edge cases.

💡 Hint: Think about how functions can be defined and how recursion is handled.

Challenge and get performance evaluation