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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is merge sort primarily based on?
💡 Hint: Think about breaking problems into smaller pieces.
Question 2
Easy
What do we call the situation when we stop breaking the list down?
💡 Hint: It involves lists of size one or zero.
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 worst-case time complexity of merge sort?
- O(n)
- O(n log n)
- O(n^2)
💡 Hint: Recall the efficiency compared to simpler sorting algorithms.
Question 2
True or False: Merge sort is an in-place sorting algorithm.
- True
- False
💡 Hint: Consider what 'in-place' means regarding storage.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You have to sort a list of 10 random numbers using merge sort. Write pseudocode to demonstrate each step including the divide and merge operations.
💡 Hint: Focus on both the divide and merge phases to keep track.
Question 2
Evaluate the efficiency of merge sort compared to quicksort and the implications of their space complexities.
💡 Hint: Consider the scenarios where each algorithm excels or falters.
Challenge and get performance evaluation