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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the output when merging [1, 2] and [3, 4]?
π‘ Hint: Think about how to combine the two sorted lists.
Question 2
Easy
Explain how the merge function works.
π‘ Hint: Consider the use of indices for each list.
Practice 1 more question and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the primary function of the merge algorithm?
π‘ Hint: Consider what merging refers to in sorting.
Question 2
True or False: Merge sort has a time complexity of O(n^2).
π‘ Hint: Recall the time complexities of sorting algorithms.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Given two sorted lists A = [1, 3, 5, 7] and B = [2, 4, 6, 8, 10], write a Python function to merge these lists. Discuss your approach.
π‘ Hint: Think about using a while loop for merging.
Question 2
Explain why merging two sorted lists is O(n) when compared to sorting a single list using merge sort, which is O(n log n).
π‘ Hint: Consider the difference between combining versus rearranging elements.
Challenge and get performance evaluation