Numerical Derivatives: Finite Central Differences (2)

This lecture verifies the second-order accuracy of the central finite difference formula for derivatives. Using the example of the sine function, the instructor demonstrates how the error between the true derivative and its approximation decreases with decreasing step size, highlighting the dominance of truncation error for moderately small step sizes and the impact of rounding errors for very small step sizes.