An efficient, optimized code for matching rows in a huge matrix

Question

I have a huge matrix on which I need to do some matching operation. Here's the code I have written and it works fine, but I think there is some room to make it more optimized or write another code that does the matching in less time. Could you please help me with that?

rowsMatched = find(bigMatrix(:, 1) == matchingRow(1, 1) 
        & bigMatrix(:, 2) == matchingRow(1, 2) 
        & bigMatrix(:, 3) == matchingRow(1, 3))

The problem with this code is that I cannot use && operand. So, in case one of the columns do not match, the program still checks the next condition. How can I avoid this?

Update: Here's the solution to this problem:

rowsMatched = find(all(bsxfun(@eq, bigMatrix, matchingRow),2));

Thank you

Answer 1

You can use BSXFUN to do it in a vectorized manner:

rowsMatched = find(all(bsxfun(@eq, bigMatrix, matchingRow),2));

Notice that it will work for any number of columns, just matchingRow should have the same number of columns as bigMatrix.