Practice Improving naive gcd - 2.1.1 | 2. Improving naive gcd | Data Structures and Algorithms in Python
K12 Students

Academics

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

Academics
Professionals

Professional Courses

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

Professional Courses
Games

Interactive Games

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

games

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does GCD stand for?

πŸ’‘ Hint: Think about what the 'greatest' refers to.

Question 2

Easy

List a common factor of 12 and 8.

πŸ’‘ Hint: Consider smaller numbers first.

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 main improvement discussed for the naive gcd algorithm?

  • Immediate listing of all factors
  • Single scan to find common factors
  • Using recursion

πŸ’‘ Hint: Think about how we can reduce redundant calculations.

Question 2

True or False: In the naive gcd method, we search up to the maximum of m and n.

  • True
  • False

πŸ’‘ Hint: Why would checking beyond the smaller number be pointless?

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Calculate the GCD of 56 and 98 using the naive method and the optimized approach. Write both algorithms in Python.

πŸ’‘ Hint: Implement both methods and test them with the same inputs. How do their results compare?

Question 2

Using the Euclidean algorithm, calculate the GCD of 48 and 180. Show each step taken.

πŸ’‘ Hint: What happens to the larger number at each step?

Challenge and get performance evaluation