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

Test your understanding with targeted questions related to the topic.

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?

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

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?

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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.

Question 2

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.

Challenge and get performance evaluation