Practice Central Difference Formulas - 3.4 | 3. Numerical Differentiation | Mathematics - iii (Differential Calculus) - Vol 4
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 is the central difference formula for the first derivative?

💡 Hint: Think about how we approximate using points around x.

Question 2

Easy

What data points are needed for the second derivative approximation?

💡 Hint: Remember you need data from both sides.

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 central difference formula use for its calculation?

  • Only the point of interest
  • Points on both sides
  • Only previous points

💡 Hint: Think about the formula used for estimation.

Question 2

True or False: The central difference formula is less accurate than the forward difference formula.

  • True
  • False

💡 Hint: Consider how more data points influence accuracy.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given the following data points: x = [1, 1.2, 1.4, 1.6, 1.8] and corresponding f(x) values = [0, 0.128, 0.544, 1.296, 2.432], apply the central difference method to estimate f′(1.6) and f′(1.4).

💡 Hint: Use the right data points and don’t forget the step-size in your calculations.

Question 2

Analyze the effect on the accuracy of the resulting derivative estimation if the spacing (h) between points is halved. Discuss how it relates to truncation and round-off errors.

💡 Hint: Consider both types of errors when adjusting h.

Challenge and get performance evaluation