Practice Iterative Methods - 21.15.2 | 21. Linear Algebra | Mathematics (Civil Engineering -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.

21.15.2 - Iterative Methods

Enroll to start learning

You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is an iterative method?

💡 Hint: Think about solving equations step by step.

Question 2

Easy

Name one iterative method used in linear algebra.

💡 Hint: It starts with 'G' or 'J'.

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 the Gauss-Seidel method do?

  • Uses old values
  • Uses new values
  • Both

💡 Hint: Think about how solutions are updated.

Question 2

True or False: The Jacobi method is faster than the Gauss-Seidel method.

  • True
  • False

💡 Hint: Which method uses the latest values without delay?

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Consider a civil engineering project that requires analyzing the load distribution on a long bridge using an iterative method. Formulate a step-wise approach to use the Gauss-Seidel method effectively.

💡 Hint: Remember to update the estimates as you progress through the equations.

Question 2

You are presented with a system of equations represented by a sparse matrix. Discuss the advantages of using an iterative method over a direct method in this case.

💡 Hint: Focus on resource management and efficiency when working with sparse matrices.

Challenge and get performance evaluation