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

Test your understanding with targeted questions related to the topic.

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.

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 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.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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.

Question 2

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.

Challenge and get performance evaluation