Finding a specific pair of points in 2 matrices placed at the same index on both
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Say I have the following matrices:
A= [1 2 3 ; 2 3 6]
B= [6 7 7; 4 8 9]
And the user wants to find where are the values (3,8) (3 on the first matrix and 8 on the second matrix) exist at the same index in both.
Is there an efficient built-in function that will return the output of (2,2), which is the location in both matrixes (A and B) that referes to the user's input?
I need to avoid from accidently finding the 3 on (1,3) in A and the 8 on (2,2) in B - even though they meet the same values of the user's input, they are not indexed on the same places in both matrices.
It is only a toy example, the real matrices A and B are huge so running with loops would be very inefficient, hence my question.
In addition, this code should also work and return the same answer if the user's input will be close enough to (3,8), for instance: (2.9,7.9). How can this be implemented?
Matt Gaidica on 17 Jan 2021
[row,col] = find(A == 3 & B == 8)
Those will be empty if your condition doesn't exist.
Image Analyst on 17 Jan 2021
A = [1 2 3 ; 2 3 6]
B = [6 7 7; 4 8 9]
usersAValue = 2.9
usersBValue = 7.9
% Specify how close they can be and still be considered a "match".
tolerance = 0.15;
abs(A - usersAValue)
% Get a matrix with 1's wherever the values are within the tolerance.
matchingMap = abs(A - usersAValue) < tolerance & abs(B - usersBValue) < tolerance
% Find all locations where there is a 1 (where values are within tolerance).
[rows, columns] = find(matchingMap)