Practice Quicksort Analysis (22.1) - Quicksort analysis - Data Structures and Algorithms in Python
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Quicksort Analysis

Practice - Quicksort Analysis

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define the term 'pivot' in the context of quicksort.

💡 Hint: Consider its role during partitioning.

Question 2 Easy

What is the average-case time complexity of quicksort?

💡 Hint: Think about how quicksort handles average inputs.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the time complexity of quicksort in the worst case?

O(n)
O(n log n)
O(n²)

💡 Hint: Reflect on when quicksort struggles.

Question 2

True or False: Quicksort is a stable sorting algorithm.

True
False

💡 Hint: Consider the nature of how it sorts elements.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given an array sorted in descending order, implement quicksort and explain the observed performance.

💡 Hint: Consider how partitioning changes with each pivot choice.

Challenge 2 Hard

Design a pseudo-code for a stable version of quicksort that preserves the order of equal elements.

💡 Hint: Think about how choices made during partitioning affect later steps.

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Reference links

Supplementary resources to enhance your learning experience.