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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the central difference formula for the first derivative?
π‘ Hint: Think about how we approximate using points around x.
Question 2
Easy
What data points are needed for the second derivative approximation?
π‘ Hint: Remember you need data from both sides.
Practice 4 more questions and get performance evaluation
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?
π‘ 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.
π‘ Hint: Consider how more data points influence accuracy.
Solve 1 more question and get performance evaluation
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 fβ²(1.6) and fβ²(1.4).
π‘ Hint: Use the right data points and donβt 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.
π‘ Hint: Consider both types of errors when adjusting h.
Challenge and get performance evaluation