Practice Operations Using Merge (20.4) - Mergesort, analysis - Data Structures and Algorithms in Python
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Operations using Merge

Practice - Operations using Merge

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the time complexity of the merge function?

💡 Hint: Think about how many items we are processing.

Question 2 Easy

Describe the main purpose of merge sort.

💡 Hint: What methodology does it use for sorting?

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the time complexity of merge sort?

O(n)
O(n log n)
O(n^2)

💡 Hint: Consider the logarithmic component in the method used.

Question 2

The merge operation can be used to find the intersection of two lists.

True
False

💡 Hint: Think about how merging processes duplicates.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Implement an iterative version of merge sort in Python. What are the key differences compared to the recursive version?

💡 Hint: Think about how to manage the sorting in chunks rather than recursively.

Challenge 2 Hard

Given two sorted lists [1, 3, 5, 7] and [2, 4, 6, 8], output the union, intersection, and list difference using the merge operation.

💡 Hint: How do the numbers relate in each condition?

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Reference links

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