We have learned the mid-point and trapezoidal rule for numercial intergration in the tutorials. Now you are asked to implement the Simpson rule, where we approximate the integration of a non-linear curve using piecewise quadratic functions. Assume f(x) is continuous over [a, b]. Let [a, b] be divided into N subintervals, each of length A.x, with endpoints at P = x0, x1,x2,..., X, XN. Each interval is Ax = (b-a)/N. The equation for the Simpson numerical integration rule is derived as: f f(x)dx [f(x) + 4 (Emln odd f(x)) + 2 (E-2n even f(x)) + f(x)]. Now complete the Python function InterageSimpson (N, a, b) below to implement this Simpson rule using the above equation. The function to be intergrate is f(x) = 2x³ (Already defined in the function, no need to change).
We have learned the mid-point and trapezoidal rule for numercial intergration in the tutorials. Now you are asked to implement the Simpson rule, where we approximate the integration of a non-linear curve using piecewise quadratic functions. Assume f(x) is continuous over [a, b]. Let [a, b] be divided into N subintervals, each of length A.x, with endpoints at P = x0, x1,x2,..., X, XN. Each interval is Ax = (b-a)/N. The equation for the Simpson numerical integration rule is derived as: f f(x)dx [f(x) + 4 (Emln odd f(x)) + 2 (E-2n even f(x)) + f(x)]. Now complete the Python function InterageSimpson (N, a, b) below to implement this Simpson rule using the above equation. The function to be intergrate is f(x) = 2x³ (Already defined in the function, no need to change).
Elements Of Electromagnetics
7th Edition
ISBN:9780190698614
Author:Sadiku, Matthew N. O.
Publisher:Sadiku, Matthew N. O.
ChapterMA: Math Assessment
Section: Chapter Questions
Problem 1.1MA
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