Practice Introduction to Merge Sort - 14.1.1 | 14. Merge Sort: Analysis | Design & Analysis of Algorithms - Vol 1
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Introduction to Merge Sort

14.1.1 - Introduction to Merge Sort

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the runtime complexity of Merge Sort?

💡 Hint: Think about how dividing the list and merging affects performance.

Question 2 Easy

Describe the main operation performed in Merge Sort.

💡 Hint: Consider what you do to combine the lists.

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: Think about how the algorithm divides the input size.

Question 2

True or False: Merge Sort can sort data without requiring additional memory.

True
False

💡 Hint: Consider how elements need to be temporarily stored during the merge.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given two sorted lists A = [5, 10, 20] and B = [2, 5, 15], how would you merge them while accounting for duplicates?

💡 Hint: Consider using two pointers to help you move through each list efficiently.

Challenge 2 Hard

Discuss a method to implement Merge Sort iteratively without recursion.

💡 Hint: Think about how you could maintain the state of sorted sublists.

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Reference links

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