Practice Quick Sort (5.3.5) - Apply Sorting and Searching Algorithms Efficiently
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Quick Sort

Practice - Quick Sort

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is Quick Sort?

💡 Hint: Think about how it organizes elements.

Question 2 Easy

What is the average time complexity of Quick Sort?

💡 Hint: Consider how it compares to other sorting algorithms.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the average time complexity of Quick Sort?

O(n)
O(n log n)
O(n²)

💡 Hint: Consider how Quick Sort compares to other sorting algorithms.

Question 2

True or False: Quick Sort is an in-place sorting algorithm.

True
False

💡 Hint: Think about what 'in-place' means.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Consider an array of integers [6, 2, 5, 3, 7, 8]. Select the first element as a pivot and perform Quick Sort, showing step-by-step the partitioning process.

💡 Hint: How do the elements compare with the selected pivot?

Challenge 2 Hard

Discuss how Quick Sort can be adapted for a linked list. What are the differences in partitioning?

💡 Hint: Think about how elements are accessed in a linked list versus an array.

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Reference links

Supplementary resources to enhance your learning experience.