Practice Introduction to Quicksort - 22.1.1 | 22. Quicksort analysis | Data Structures and Algorithms in Python
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22.1.1 - Introduction to Quicksort

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the average-case time complexity of quicksort?

πŸ’‘ Hint: Think about both the total number of elements and how they are divided.

Question 2

Easy

Define what a pivot is in the context of quicksort.

πŸ’‘ Hint: Consider its role in group division.

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 log n)
  • O(n^2)
  • O(log n)

πŸ’‘ Hint: Consider scenarios when the choice of the pivot is inefficient.

Question 2

True or False: Quicksort is a stable sorting algorithm.

  • True
  • False

πŸ’‘ Hint: Think about the definition of stability in sorting.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Optimize a quicksort implementation to handle worst-case scenarios efficiently. Detail the changes needed.

πŸ’‘ Hint: Consider what adjustments will make pivot choice more effective.

Question 2

Given an already sorted array, explain how quicksort still could work efficiently if an alternative pivot strategy is employed.

πŸ’‘ Hint: Reflect on how different pivot selection can influence outcomes.

Challenge and get performance evaluation