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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 many times we are dividing the list.
Question 2
Easy
What does the merge function do?
💡 Hint: Think about how you combine sorted papers.
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)
💡 Hint: Think about both dividing and merging.
Question 2
Merge sort is an example of which type of algorithm?
- True
- False
💡 Hint: Recall the method merge sort uses.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a list of numbers, implement the merge function in Python and demonstrate its efficacy by passing two sorted lists into it.
💡 Hint: Consider how to remove the smallest number from the lists.
Question 2
Analyze the impact of merge sort when applied to a reverse-sorted list compared to a random list in terms of algorithmic efficiency.
💡 Hint: Think about how sorting works irrespective of initial order.
Challenge and get performance evaluation