Practice Naive vs. Complex Sorting Algorithms - 17.1.7 | 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

Define stable sorting.

💡 Hint: Think about how alphabetical order should remain when sorting by marks.

Question 2

Easy

What is quicksort? Why might it not be stable?

💡 Hint: Consider how elements are rearranged.

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

Which of the following sorting algorithms is stable?

  • Quicksort
  • Merge Sort
  • Selection Sort

💡 Hint: Recall the characteristic of stability.

Question 2

True or False: Insertion sort is a stable algorithm.

  • True
  • False

💡 Hint: Think about how insertion sort works.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a sorting algorithm that is stable and efficient for large datasets. What considerations will you make?

💡 Hint: Focus on both algorithm complexity and real-world constraints.

Question 2

Analyze a scenario in a real-world application (like sorting names and scores in a classroom) and determine which sorting algorithm would be the best choice. Justify your choice based on the dataset size and stability requirements.

💡 Hint: Reflect on both the size of data and the importance of maintaining order.

Challenge and get performance evaluation