Final answer:
To estimate the minimum number of subintervals needed for the Trapezoidal Rule, we use the formula h = (b - a) / n. For Simpson's Rule, we use the formula h = (b - a) / (2n).
Step-by-step explanation:
To estimate the minimum number of subintervals needed for the Trapezoidal Rule, we can use the formula h = (b - a) / n, where h is the width of each subinterval, b is the upper limit of integration, a is the lower limit of integration, and n is the number of subintervals. Rearranging the formula, we get n = (b - a) / h. Here, b = 3, a = -3, and we want the error to be less than 4x10^-4. Let's assume n is an integer, so we'll round it up to the nearest whole number. Substituting the values, we get n = (3 - (-3)) / h = 6 / h. To find the minimum number of subintervals, we need to find the maximum value of h that satisfies the given error condition.
For Simpson's Rule, we use the formula h = (b - a) / (2n), where h is the width of each subinterval and n is the number of subintervals. Rearranging the formula, we get n = (b - a) / (2h). Here, b = 3, a = -3, and we want the error to be less than 4x10^-4. Let's assume n is an integer, so we'll round it up to the nearest whole number. Substituting the values, we get n = (3 - (-3)) / (2h) = 6 / (2h). To find the minimum number of subintervals, we need to find the maximum value of h that satisfies the given error condition.