Using logical indexing to get subset of matrix rows which give desired output from function
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I have an nx3 matrix of n 3D points. I'm trying to find out how I can quickly isolate the rows of the matrix which satisfy:
dot(P1-P,normal) == 0
which would show if point P(from a given row) was in the plane given by P1 and the normal vector. I've been trying to do this using logical indexing, like
b(b>1)
in order to avoid for looping through all of the points in my space. I can't figure out how to make the logical statement dot(P1-P,normal) == 0 (instead of something like b>1), where P is a given row of my matrix. Is there a way to do this? If not, is there any way to accomplish my goal without using for loops?
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I'm using random numbers just to have something to work with. The trouble is 'dot' doesn't like when the matrices aren't the same size. So we'll just use 'repmat' to make 'normal' the same size as 'P.'
You can try A == 0 for the logical indexing, but you're likely to find that machine precision will make many that "should" be 0 equal to something small, like 10*eps or smaller. I've set two logical indexes. One A == 0, the otehr abs(A) < 10*eps. You can change the multiplier in front of eps until you get what you're looking for.
P = rand(50,3);
P1 = rand(1,3);
normal = rand(1,3);
A = dot(P1-P,repmat(normal,size(P,1),1),2);
index1 = find(A == 0);
index2 = find(abs(A) < 10*eps);
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