Practice Improvement Over Other Sorting Algorithms - 14.1.4 | 14. Merge Sort: Analysis | 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 is the time complexity of merge sort?

💡 Hint: Recall the significant term in time complexity discussion.

Question 2

Easy

What is the purpose of the merge operation in merge sort?

💡 Hint: Think of how sorted lists are merged during the process.

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(log n)

💡 Hint: Remember the efficiency discussed in relation to input size.

Question 2

Does merge sort require extra space during the merging process?

  • True
  • False

💡 Hint: Think about the requirements of the merge operation.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given two sorted arrays A = [1, 3, 5] and B = [2, 4, 6], write pseudocode for the merge operation.

💡 Hint: Focus on the comparison and how to move through both lists.

Question 2

Analyze the trade-offs of using merge sort over quicksort for sorting large datasets in terms of performance and memory utilization.

💡 Hint: Think about time complexity versus the need for additional memory.

Challenge and get performance evaluation