Practice Worst Case Scenario - 16.1.4 | 16. Introduction to Quicksort | Design & Analysis of Algorithms - Vol 1
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Worst Case Scenario

16.1.4 - Worst Case Scenario

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

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

💡 Hint: Think about how the pivots help in dividing the array.

Question 2 Easy

What happens when you choose the last element as a pivot in a sorted array?

💡 Hint: Consider how many elements go to the left and right of the pivot.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the worst-case time complexity of Quicksort?

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

💡 Hint: Think about the implications of pivot choices.

Question 2

True or False: Randomizing the pivot in Quicksort guarantees O(n log n) performance.

True
False

💡 Hint: Recall the benefits of randomness in algorithms.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Consider an array that is initially sorted in descending order. What would happen if you always choose the first element as your pivot?

💡 Hint: Think about what choosing extremes means for partitioning.

Challenge 2 Hard

Suppose you implement Quicksort with deterministic pivot selection. How might this change the expected time complexity on average inputs?

💡 Hint: Explore why choices matter in terms of input configuration.

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