Practice Recursive Sorting - 15.1.5 | 15. Quicksort | Design & Analysis of Algorithms - Vol 1
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15.1.5 - Recursive Sorting

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the purpose of Quick sort?

💡 Hint: Think about the overheads of other sorting methods.

Question 2

Easy

What term is used for the element chosen for partitioning?

💡 Hint: It's a key element in the sorting process.

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 average case time complexity of Quick sort?

  • O(n)
  • O(n log n)
  • O(n²)

💡 Hint: Consider how the algorithm's efficiency improves with proper pivot selection.

Question 2

True or False: Quick sort requires additional storage for merging.

  • True
  • False

💡 Hint: Recall the characteristics of both sorting algorithms.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given the array [38, 27, 43, 3, 9, 82, 10], manually perform Quick sort and show each step.

💡 Hint: Remember to list all intermediate partitions and pivots.

Question 2

Discuss the impact of an unbalanced choice of pivot on the time complexity of Quick sort and provide an example.

💡 Hint: Think back on the lessons learned about pivot selection.

Challenge and get performance evaluation