Practice Programming, Data Structures and Algorithms in Python - 19.1 | 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 the basic strategy of Merge Sort?

πŸ’‘ Hint: Think about how we can divide a problem.

Question 2

Easy

What do we do when merging two sorted lists?

πŸ’‘ Hint: Focus on the first elements of the lists.

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(n log n)
  • O(n^2)

πŸ’‘ Hint: Think about how Merge Sort divides the problem.

Question 2

True or False: Merge Sort is an in-place sorting algorithm.

  • True
  • False

πŸ’‘ Hint: Consider what 'in-place' means in the context of sorting.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a test case for an already sorted list and analyze the time complexity when applying Merge Sort.

πŸ’‘ Hint: How does Merge Sort deal with already sorted input?

Question 2

Explain how you would adapt Merge Sort for a linked list instead of an array.

πŸ’‘ Hint: Think about how linked lists differ from arrays in terms of accessing elements.

Challenge and get performance evaluation