Practice Partitioning Strategies - 15.1.6 | 15. Quicksort | 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.

15.1.6 - Partitioning Strategies

Enroll to start learning

You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the purpose of a pivot in the Quicksort algorithm?

💡 Hint: Think about how partitioning works.

Question 2

Easy

Explain what partitioning means in the context of Quicksort.

💡 Hint: Refer to how elements are grouped around the pivot.

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 average time complexity of the Quicksort algorithm?

  • O(n)
  • O(n log n)
  • O(n²)

💡 Hint: Consider how often the partitions halve the array.

Question 2

True or False: Quicksort is a stable sorting algorithm.

  • True
  • False

💡 Hint: What does 'stable' mean in sorting contexts?

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given the array [60, 20, 90, 10, 50], implement a Quicksort function that sorts it in ascending order and explain each step of the recursive process.

💡 Hint: Track how the pivot influences the partitioning process at each recursive step.

Question 2

Create a scenario showing how Quicksort can lead to inefficient sorting. Use specific examples of pivot selection that could lead to worst-case performance.

💡 Hint: Visualize the consequences of poor pivot choices over several recursive layers.

Challenge and get performance evaluation