Conditioning data to match dimensions

Hi, I have a data set which is 1 x 8. I have two other sets of data B and C which are 1 x 130. What I want to do is, compare the values of data set B with that of A to find the closest element. Once the index of this element of B is known, I want to read the corresponding element of that index from C. I want to do this with every element and create a new matrix based on elements from C and should be 1 x 8.

I was thinking along the lines of using a for loop and then using something like:

 for f= 1:8;
    tmp = abs(b-a(1,f));
    [idx idx] = min(tmp) %index of closest value
    %%more code needed
 end

I am bit lost after that about how I can efficiently implement this. Any ideas?

Thanks

Answer 1

[Andrei Bobrov]

A = rand(10,1);
B = rand(130,1);
C = randi(500,130,1);

a1 = A(1:8);
[~,idx] = min(abs(bsxfun(@minus,B,a1.')));
out = C(idx);

[KV]

Just what I needed. Many thanks!!