Find matching indexes in two different size arrays
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I have two arrays called A and B. I need to to match these two arrays with some tolerence. So that I can get an array like the out put that is given below.(Or any other way to get the index of the column A) Coumns and rows both in B should match with Cs.and Rows in A. As an example 1st column in B matches with the 1st column in A. 2nd column in B matches with the 3rd column in A. Rows should also match like that. Second row in B should match with 4th row in A. You can look at the output array to get an idea. Can someone help with atleast a part of of this quesion? Thank you.
A=[1.414151925 0 0 0 0;
1.731923552 1.224708266 0 0 0;
1.999852844 1.414171143 1.154700414 0 0;
2.236423478 1.581459133 1.291294569 1.118294021 0;
2.828219484 1.999940342 1.632993258 1.414213797 1.26461715]
B=[1.742 0 0;
2.246 1.289 0 ;
2.928 1.6329 1.414]
output= [0 0 0 0 0;
1.731923552 0 0 0 0;
0 0 0 0 0;
2.236423 0 1.291294569 0 0;
2.828219 0 1.632993258 1.414213797 0]
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Samatha Aleti
le 29 Avr 2020
Modifié(e) : Samatha Aleti
le 29 Avr 2020
Hi,
As per my understanding you are trying to compare two matrices of different sizes with high tolerance. You can use the function “ismembertol” to do this. This function allows you to specify the tolerance value and compares accordingly.
Here is a piece of code:
output = zeros(size(A)); % Initialize
tol = 0.01; % Tolerance value
comp = ismembertol(A(4,:),B(2,:), tol); % compare 4th row of "A" with 2nd row of "B"
output(4,comp) = A(4,comp) % Assign output value
You can extend this logic for all rows & columns accordingly.
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