numerical double integral of an expression with vector defined variables
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Nima on 9 Apr 2020
Commented: darova on 13 Apr 2020
I have to compute double integral for the expression G over phi and theta in the following code numerically. Does anyone have any idea how it must be done, since it is not easy to use trapz or integral2 because of the definition of the variables!
c = 4.2;
d = 10;
r3 = linspace(c, d, 100);
theta = linspace(-pi/2, pi/2, 100);
theta2 = linspace(-pi/2 ,pi/2, 100);
Phi = linspace(0, 2*pi, 100);
Phi2 = linspace(0, 2*pi, 100);
G = r3.*(sin(theta2).*cos(theta).*cos(phi2-phi) - cos(theta2).*sin(theta)) ./(r3.^2 + c.^2 - 2.*r3.*c.*(sin(theta2).*sin(theta).*cos(phi2-phi)+cos(theta2).*cos(theta))).^3/2 ;
darova on 9 Apr 2020
Here is a start
phi = linspace(...) % define value for phi
theta = linspace(...); % define theta
dphi = phi(2)-phi(1); % phi step
dtheta = theta(2)-theta(1); % theta step
[PHI,THETA] = meshgrid(phi,theta); % create 2D grid
G = PHI .. THETA ... % calculate G at each point of grid
F = G(1:end-1,1:end-1) + G(1:end-1,2:end) + G(2:end,1:end-1) + G(2:end,2:end);
result = sum(F(:))/4*dphi*dtheta*
Do you know why F variable is so long?
darova on 13 Apr 2020
As for volume calculations:
I suggest you to use 3D matrices:
theta = ...
phi = ..
rr = ...
dth = theta(2) - theta(1);
dphi = phi(2) - phi(1);
dr = rr(2) - rr(1);
[T,P,R] = meshgrid(theta,phi,rr); % create 3D matrices
dV = (your long function) .* R.^2 .*cos(T) *dr*dth*dphi;
Now there is need to 'averaging' as before but for 3D matrices
Maybe there is better idea but i have only this:
dV = dV(1:end-1,1:end-1,1:end-1) + ...
dV(1:end-1,1:end-1,2:end) + ...
dV(1:end-1,2:end,1:end-1) + ...
dV(2:end,2:end,1:end-1) + ...
% 4 more combinations
dV = sum(dV(:))/8;
There is one more idea, but nor precise one (without averaging). Just create dense mesh
dV1 = dV(2:end,2:end,2:end);
dV1 = sum(dV1);
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