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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the average case time complexity of quicksort?
💡 Hint: Think about how quicksort performs under normal circumstances.
Question 2
Easy
What do you call the element used to partition the array?
💡 Hint: It's a reference point for sorting.
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 complexity of quicksort in the average case?
- O(n^2)
- O(n log n)
- O(n)
💡 Hint: Consider how many times quicksort will typically divide the input.
Question 2
True or False: Quicksort is a stable sorting algorithm.
- True
- False
💡 Hint: Recall what stability means in the context of sorting.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Consider a list of numbers which is already sorted in ascending order. How does the performance of quicksort change? Explain why.
💡 Hint: Think about how the first element as pivot affects partitioning.
Question 2
Implement a stable version of quicksort in Python. Provide the code and explain how it ensures stability.
💡 Hint: Consider how you can modify the traditional partitioning approach.
Challenge and get performance evaluation