Practice Partitioning and Efficiency - 16.1.2 | 16. Introduction to Quicksort | Design & Analysis of Algorithms - Vol 1
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Partitioning and Efficiency

16.1.2 - Partitioning and Efficiency

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the time complexity of the best case for Quicksort?

💡 Hint: Think about how the pivot divides the array.

Question 2 Easy

What is the purpose of partitioning in Quicksort?

💡 Hint: What happens to elements relative to the chosen pivot?

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the average case time complexity of Quicksort?

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

💡 Hint: Think about the efficient partitioning.

Question 2

True or False: Quicksort always uses the first element as the pivot.

True
False

💡 Hint: What strategies exist for selecting pivots?

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given a set of random numbers, apply the Quicksort algorithm with detailed steps for choosing a pivot at each stage.

💡 Hint: Keep track of how your pivot choice influences subsequent partitions.

Challenge 2 Hard

Analyze the sorting time for a partially sorted array using Quicksort. What is the expected performance?

💡 Hint: Consider how close to sorted the initial arrangement is.

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Reference links

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