Matlab: Please leave comments in your code and show screenshots of the plots. Also here is the link to download the files needed for these problems and if you want just look at the picture above the question.

https://drive.google.com/drive/folders/18d8BrvlPNSAgzXckUiToKJrOPN6XC0rB?usp=sharing

Problem 1: Composite Simpson's Rule Simpson's 1/3 Rule approximates the integral as: [ f() dx = ? If (x. ) + 4f ( x,) + f (x2 )]. The formula is derived by approximationg the integrand with the interpolating quadratic polynomial. The closed form of the composite Simpson's rule is defined with respect to an even number of subintervals, n, as follows: Problem 1.1: Write a function 'compSimp.m' that takes as input an even number of subintervals, n, and the interval endpoints a and b, and returns the integral approximation value for the function encoded in 'integrand.m'. (Note: n must be even for this formula. Your code should check that the input n is even). Problem 1.2: Download 'integrand.m', which encodes the function we wish to integrate. Write a function 'compSimEval.m' that first calls your 'compSimp' function to integrate 'integrand' with n = 12, a =0, and b = 1; Next, compute the relative error of your approximation using the solution from Matlab's "integral' function as the 'true solution'. Finally, generate a plot of 'integrand' that states your approximate integral value and the relative error in the title. It should look something like this: 2.4 E. Castillo: compSimp = 1.462660, relative error = 0.000010 2A 24 18 1.0 1.4 12 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.9Problem 1.1 o 'compSimp.m' Function Complete Header and commented code (5 Points) Correct approach for composite Simpson's (5 Points) Correct indexing for composite Simpson's (5 Points) Problem 1.2 o compSimEval.m Correct implementation of 'integral' and relative error (3 Points) Correct plot (2 Points)