Composite Simpsons 1/3 matlab code

  1. haz

    haz 4

    hey guys,
    So I'm working on a matlab function that uses simpsons 1/3 rule to find an integral.
    This is what I have done so far, but I'm not 100% confident.. I seem to get double when I use greater segments.
    If anyone would be able to have a look at give me some tips that would be very much appreciated.

    function [ I ] = simpsons3( func,a,b,n )
    %Finds estimate integral from a to b of function using simpson 1/3 rule

    % % INPUTS
    % % func = function
    % % a = lower limit
    % % b = upper limit
    % % n=number of segments used for integration
    % % OUTPUTS
    % % I = integral estimate

    h = (b-a)/(n-1);
    sumE = 0;
    for i = a+2*h:h:b-2*h
    sumE = sumE + func(i);
    sumO = 0;
    for i = a+h:h:b-h
    sumO = sumO + func(i);
    I = (h/3)*(func(a)+4*sumE+2*sumO+func(b));
  2. jcsd
  3. DrClaude

    Staff: Mentor

    Always good to test with a function for which you know the analytical result and compare.

    Minor point, but if n is the number of intervals, then
    Code (Text):

    h = (b-a)/n;
    First, it is a bad idea to use real values for a for loop counter. Use integers and calculate the independent variable from h at each step.

    Second, you are doubly counting the interior points. Each sum should add points that are 2h apart, not h.

    Third, such an implementation of the Simpson rule only works if the number of intervals is even (or n odd according to your definition of h), otherwise it will return a result with a greater error.
  4. haz

    haz 4

    Thankyou very much for your reply.
    I actually was able to make these adjustments before reading your reply but you have given me confidence so thankyou!
    I am however confused as to why it is a bad idea to set up my for loop counters as I have done. Would you be able to tell be me why it is bad and give me examples as too when this would fail.
  5. DrClaude

    Staff: Mentor

    Because of rounding errors, you can end up with unexpected behaviour at the termination of a for loop. Say you have a for loop that counts to 15, but when you add the step sizes h, you end up with the last values being 15.00000001. This being > 15, the loop will exit without the last point being counted.
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