Practice Recursive Merge Sort - 13.3 | 13. Merge Sort | Design & Analysis of Algorithms - Vol 1
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Recursive Merge Sort

13.3 - Recursive Merge Sort

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the time complexity of Merge Sort?

💡 Hint: Consider both the splitting and merging steps.

Question 2 Easy

What kind of problem-solving technique does Merge Sort utilize?

💡 Hint: Think about how the algorithm processes data.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the time complexity of Merge Sort in the average case?

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

💡 Hint: Think about how many times the array is split and how merging affects complexity.

Question 2

True or False: Merge Sort is an in-place sorting algorithm.

True
False

💡 Hint: Consider how the algorithm combines sorted arrays.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Create a visual representation of Merge Sort processing using the array [45, 25, 15, 5, 35]. Show each split and merge step.

💡 Hint: Focus on showing the recursive splitting and merging clearly.

Challenge 2 Hard

Analyze the effect of different input sizes on the efficiency of Merge Sort. What happens with sorted vs. unsorted vs. reverse sorted arrays?

💡 Hint: Consider how the sorted nature influences the operations during merging.

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