Practice Analysis of Merge Sort Complexity - 13.4.1 | 13. Merge Sort | Design & Analysis of Algorithms - Vol 1
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Analysis of Merge Sort Complexity

13.4.1 - Analysis of Merge Sort Complexity

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does merge sort do?

💡 Hint: Think about how it handles subarrays.

Question 2 Easy

Can merge sort handle arrays of odd size?

💡 Hint: What happens when you divide an odd number?

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the time complexity of merge sort?

O(n²)
O(n log n)
O(n)

💡 Hint: Consider how the array is divided and merged.

Question 2

True or False: Merge sort can sort an array of any size effectively.

True
False

💡 Hint: What happens when sizes are not examples of powers of two?

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given an array of numbers, implement the merge sort algorithm in code. Analyze the time taken for sorting an array of large size.

💡 Hint: Pay attention to the merging step and ensure the recursion captures both halves correctly.

Challenge 2 Hard

Compare and analyze the performance of merge sort and insertion sort on an array of 1000 random integers. Present your findings.

💡 Hint: Consider the arrangement of elements as they are sorted.

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