Practice Efficiency of Merge Sort Algorithm - 19.2.3 | 19. Mergesort - Part B | 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 primary strategy used in the Merge Sort algorithm?

πŸ’‘ Hint: Think about how the algorithm handles lists.

Question 2

Easy

What happens when you encounter a list index out of range error?

πŸ’‘ Hint: Recall the limits of list indices.

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 main advantage of using Merge Sort over simpler algorithms?

  • Faster for small lists
  • In-place sorting
  • Efficient for large datasets

πŸ’‘ Hint: Think about how the algorithm scales with input size.

Question 2

True or False: Merge Sort can hit recursion limit with very large lists.

  • True
  • False

πŸ’‘ Hint: Consider how many times the input size is halved.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Consider the list [10, 7, 5, 3, 4, 9, 8]. Modify the Merge Sort algorithm to sort this list in descending order instead of ascending. Provide a code snippet for your solution.

πŸ’‘ Hint: Reverse the comparisons made in the merge step.

Question 2

Critically assess the memory usage of the Merge Sort algorithm. When merging lists, what is the auxiliary space complexity, and how can it be optimized?

πŸ’‘ Hint: Reflect on how data is stored during the merging phase.

Challenge and get performance evaluation