Practice Understanding Average Case Analysis - 6.2.2 | 6. Input Size and Running Time | Design & Analysis of Algorithms - Vol 1
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does 'input size' refer to in algorithm analysis?

💡 Hint: Think about how large the data set is.

Question 2

Easy

Define 'worst case' in relation to algorithms.

💡 Hint: Consider scenarios that would take the most time.

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 does 'average case' in algorithm analysis represent?

  • The longest execution time
  • The typical performance
  • The fastest execution time

💡 Hint: Think about what we usually expect in a typical operation.

Question 2

True or False: The worst-case performance analysis is always practical and applicable to real-world applications.

  • True
  • False

💡 Hint: Consider how frequently worst-case scenarios happen.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design an algorithm for a small local café inventory check. Discuss how you would analyze both average and worst-case efficiencies.

💡 Hint: Think about the patterns in customer behavior.

Question 2

Evaluate an online course registration system. Identify potential worst-case scenarios affecting performance and suggest improvements.

💡 Hint: Consider peak times for registrations in a college setting.

Challenge and get performance evaluation