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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 the merge operation?
💡 Hint: Think about how we process each element in both lists.
Question 2
Easy
What does T(n) represent in the context of merge sort?
💡 Hint: Recall what we mentioned about T(n) and its relation to recursion.
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(n)
💡 Hint: Think about the efficiency compared to simpler sorting methods.
Question 2
The merge operation takes linear time. True or False?
- True
- False
💡 Hint: Recall how each element from the lists is compared and moved.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a hybrid sorting algorithm that integrates merge sort with quicksort principles. How would you handle the merging phase?
💡 Hint: Consider the size of the array before selecting the sorting method.
Question 2
Consider implementing merge sort without using additional arrays for merging. Discuss alternative methods and their potential drawbacks.
💡 Hint: Think about how in-place sorting compares to the standard merge method.
Challenge and get performance evaluation