Practice Quicksort Analysis - 22.1 | 22. Quicksort analysis | Data Structures and Algorithms in Python
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22.1 - Quicksort Analysis

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define the term 'pivot' in the context of quicksort.

πŸ’‘ Hint: Consider its role during partitioning.

Question 2

Easy

What is the average-case time complexity of quicksort?

πŸ’‘ Hint: Think about how quicksort handles average inputs.

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 time complexity of quicksort in the worst case?

  • O(n)
  • O(n log n)
  • O(nΒ²)

πŸ’‘ Hint: Reflect on when quicksort struggles.

Question 2

True or False: Quicksort is a stable sorting algorithm.

  • True
  • False

πŸ’‘ Hint: Consider the nature of how it sorts elements.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given an array sorted in descending order, implement quicksort and explain the observed performance.

πŸ’‘ Hint: Consider how partitioning changes with each pivot choice.

Question 2

Design a pseudo-code for a stable version of quicksort that preserves the order of equal elements.

πŸ’‘ Hint: Think about how choices made during partitioning affect later steps.

Challenge and get performance evaluation