Practice Choosing A Pivot Element (22.1.4) - Quicksort analysis - Data Structures and Algorithms in Python
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Choosing a Pivot Element

Practice - Choosing a Pivot Element

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the role of the pivot element in the quicksort algorithm?

💡 Hint: Think about how quicksort rearranges elements.

Question 2 Easy

Define worst-case performance in the context of sorting algorithms.

💡 Hint: Consider how input order affects sorting performance.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the time complexity of quicksort in the average case with random pivot selection?

O(n^2)
O(n log n)
O(n)

💡 Hint: Consider average scenarios with different pivot choices.

Question 2

True or False: Quicksort is a stable sorting algorithm in its basic form.

True
False

💡 Hint: Think of examples where equal items change order.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given the array [2, 4, 1, 3] and choosing the last element as the pivot, demonstrate each step of quicksort.

💡 Hint: Carefully track your pivot partitions at each recursion level.

Challenge 2 Hard

Discuss the implications of not using randomization for pivot selection and how it affects performance with sorted inputs.

💡 Hint: Reflect on historical sorting scenarios and adapt for future implementations.

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Reference links

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