I was sitting in the lecture theatre valiantly trying to keep awake. The professor was speaking on the rigorous application and proving of the modulus function. It’s basically the remainder, but I’ve never been introduced to it in such, uh, rigor.

He brought up an example using modulo 26. And demonstrated the wrapping around of values. And the use of it in cryptology (a class I took later on, and I got tasked by the cryptography professor to write a program to do simple encryption. But another story perhaps…).

Modulo 26 is similar to finding the remainder. **The difference is that the remainder is unique**. This is important to our discussion.

“About what?” you may ask.

Excel column names.

There are 2 types of cell references used in spreadsheets, the R1C1 format and the A1 format. The R1C1 is simple. If the row index is 5 and the column index is 7, the result is R5C7.

The A1 format takes on a column name and the row index. Using our example again, the result is G5, because “G” is the 7th alphabet. Yes, that list of 26 alphabets.

The version of Excel currently (Excel 2007 and 2010) has up to 3 letters, with XFD as the last column name (that’s the 16384th column). What happens is you have column names A, B, and then up to Z. Then the next column name is AA, then AB and then up AZ. Then BA, BB and so on.

Basically, it’s base 26 arithmetic.

As far as I know, the typical method of getting the column name given the column index, is to run a loop. You add 1 until it hits 26, then you move to the next “position”, and then start from 1 again.

There’s nothing wrong with this method. It’s just that you have to iterate as many times as the given column index. If you’re given 16384, the loop runs 16384 times. This is regardless of the fact that the result is always the same. Given the range of values, the result can only be one of 16384 values.

So it was with this in mind, and my dabbling in game development (which said “Precalculate everything!”), that I precalculated an array of strings that are the column names. The array has 16384 items. The context is a spreadsheet software library.

Now to recoup that precalculation cost, I’d have to access my array at least 16384 times. This is where the context of the spreadsheet library comes in. Everybody (and their dog) wants to know if my library can handle millions of cells. This means if the column name calculation is in a method, that method is called millions of times. Given the iteration loop in it, that means the method with the iteration loop thing isn’t efficient (it’s O(n^2)).

However, due to technical issues, I can’t keep the array of strings. The column name array needs to be static to be available throughout the library. This causes issues if multi-threads or multi-processors or multi-whatevers comes in.

So I can’t use my static array anymore. Bummer. The O(n) of simple array access was working so well.

But I still want to have an efficient way of getting column names. So instead of iterating, I used simple division and modulus operations.

Consider 587. How do you know there’s 5 hundred? 587 / 100 equals 5 (truncating remainders). How do you know there’s 8 tens? 87 / 10 equals 8 (truncating remainders).

Yes, it’s elementary arithmetic, but it works great. So we can do the same for column names. There’s a problem though.

In the case above, we divided by 100. Why 100? Because it’s 10^2, and we’re concerned with the 2nd position after the ones position. The ones position is 10^0 by the way, which is 1.

So for our case, for the “hundreds” position, we divide by 676, which is 26^2. And for the “tens” position, we divide by 26.

Now 587 is 100*5 + 10*8 + 7. I’m going to use the notation (5,8,7) to denote this.

Now consider a column index of 3380. 3380 is equal to 676*5 + 26*0 + 0. This is (5,0,0).

However, in our case, our acceptable range of values is 1 through 26. It doesn’t contain zero. So (5,0,0) is not valid.

In the case of 587, we’re working in base 10, with the acceptable range of values being 0 to 9. This is “proper” remainder. Given any number in base 10, there’s a unique number within [0, 9] that’s the remainder.

However, for our purposes, there’s no unique number. Because we’re working in modulo 26, not just “remainder 26”.

The correct column name corresponding to column index 3380 is “DYZ”. This corresponds to (4,25,26). Or

3380 = 676*4 +26*25 + 26.

Note that 3380 is also 676*5 + 26*0 + 0.

My solution is to start from the “ones” position. If it’s greater than zero, fine. If it’s less than or equal to zero, borrow from the next larger position. Then we move to the next larger position, and check again. Continue to borrow until there are no zero values (or negatives) on the “right” side of the resulting notation (we can have “leading” zeroes).

So (5,0,0) becomes (5, -1, 0 + 26), or just (5,-1,26), borrowing 1 from the “tens” position. We cannot have -1, so that becomes (4, -1 + 26, 26), which becomes (4, 25, 26).

An interesting effect is that we typically assign 0 to A, 1 to B, and 25 to Z. In this case, 1 is assigned to A, 2 is to B, and most interestingly, both 0 and 26 map to Z. In fact, any multiple of 26 will map to Z.

Don’t think Z is special. Any multiple of 26 plus 1 also maps to A. So 1, 27, 53 and so on map to A. This is a property of the modulo thing.

Do you have a better way of converting (5,0,0) to (4,25,26)? Let me know in the comments.