Double Integral: Monte Carlo Method
12-13-2018, 01:39 PM
Post: #1
 Eddie W. Shore Senior Member Posts: 936 Joined: Dec 2013
Double Integral: Monte Carlo Method
Blog post: https://edspi31415.blogspot.com/2018/12/...ouble.html

The program MONTEINT calculates the double integral

∫ ∫ f(x,y) dx dy

over a circular area with center (X, Y) and radius R. Please be sure the function is continuous and exists over the entire circular region. In order to help with the calculation time is that the program runs the calculations several times and averages the results. You enter the number of batches (B, number of times the calculation is made) and the number of sample points of each batch (N).

Code:
EXPORT MONTEINT(f,C,D,R,B,N) BEGIN // 2018-12-11 EWS // 'Z(X,Y)', center X, // center Y, radius, // number of batches, // batch size LOCAL V,S,J,K,I; V:=0; FOR K FROM 1 TO B DO S:=0; J:=0; FOR I FROM 1 TO N DO X:=RANDOM(C-R,C+R); Y:=RANDOM(D-R,D+R); IF (X-C)^2+(Y-D)^2≤R^2 THEN // for EVAL() to work, // X and Y must be global S:=S+EVAL(f); J:=J+1; END; END; V:=V+(π*R^2/J)*S; END; V:=V/B; RETURN V; END;

Note: Enter f(X,Y) in single quotes.

Example 1:

f(X,Y) = √(LN(X + Y)) over a circle with center (5,5) of radius 1. 20 batches of 50 points each.

The value is approximately 4.76.

Example 2 - A Cautionary Tale:

f(X,Y) = X^2 + X*Y + Y^3 over a circle with center (0,0) of radius 2. 20 batches of 50 points each.

To illustrate how the Monte Carlo method is at the mercy of random points, the results vary between 11.3 to 13.1.

I am going to increase the number of batches to 30 with 100 points each. Thankfully with the HP Prime's processing speed, this won't increase the calculation by a large amount. The TI-84 Plus CE will require a longer wait.

After five trials, I get values between 12.07 and 13.15.

Increasing the number of points per batch to 200, I get results of 11.3 to 12.6. The function f(X,Y) = X^2 + X*Y + Y^3 may not be a good function for the Monte Carlo method.

CAUTION: The Monte Carlo is a method to calculate double integrals but it's only for approximate values only. Several evaluations may be necessary to get a satisfactory approximation.

Source:

Ward Cheney and David Kincaid Numerical Mathematics and Computing Sixth Edition Thomson Brooks/Cole: Belmont, CA 2008 ISBN-13 978-0-495-11475-8
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