Practice Stability in Merge Sort - 17.1.3 | 17. Sorting: Concluding Remarks | Design & Analysis of Algorithms - Vol 1
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is a stable sort?

💡 Hint: Think about sorting where two identical scores are at stake.

Question 2

Easy

Name one stable sorting algorithm.

💡 Hint: Recall an algorithm that divides and conquers.

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 defines a stable sorting algorithm?

  • A. It sorts data quickly.
  • B. It preserves original order of equal elements.
  • C. It uses more memory.

💡 Hint: Think about what happens to identical items after sorting.

Question 2

Is merge sort always stable?

  • True
  • False

💡 Hint: Reflect on how merge sort handles equal elements.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Consider a dataset of students' names and scores. You first sorted it alphabetically by name, and then by score. If you notice that some students have the same scores, explain how to implement a stable sort to maintain original alphabetical order.

💡 Hint: Think back to how merge operations handle ties.

Question 2

Discuss how the context of data storage affects your choice of sorting algorithms. What criteria should you consider when sorting large datasets that's stored across multiple locations?

💡 Hint: Reflect on the properties of the algorithms we've studied.

Challenge and get performance evaluation