# Changes to SUM and DIM 3

Posted by **Steve Eddins**,

Does this line of code make you raise your eyebrows in puzzlement?

c = sum(A,[1 2])

If so, you are likely an experienced MATLAB user who does not make a habit of carefully studying the release notes, line by line, every six months. So, let me tell you about this change to `sum` and other related functions.

I think of `sum` as a *vector-wise* function. Its basic definition is expressed in terms of its operation on a vector: `sum(v)`, where `v` is a vector, returns a scalar that is the sum of the elements of `v`.

v = [1 2 3 4 5 6]; sum(v)

ans = 6 times 7 divided 2, silly.

For `sum` and many, many other functions, MATLAB has a forgiving definition of the term "vector." It can refer to a single column (Px1) or a single row (1xP). The expression `sum(v)` doesn't care.

w = v' sum(w)

w = 1 2 3 4 5 6 ans = you can't fool me, the answer is still 21.

How about `sum` on a matrix? We just love magic squares around here, especially when we're talking about sums.

A = magic(3)

A = 8 1 6 3 5 7 4 9 2

What does `sum(A)` do? Remember what I said earlier - I think of `sum` as a vector-wise function, meaning that fundamentally it operates on vectors. If you pass it a matrix, it will treat that matrix as a **stack of vectors**. Specifically, it will treat the matrix as a stack of column vectors, computing the sum of each of them.

sum(A)

ans = 15 15 15

For the last two decades (and just a bit more), the `sum` function has accepted an optional argument that we call `DIM`. This argument lets you change the way `sum` treats a matrix (or a multidimensional array) as a stack of vectors. For example, the call `sum(A,2)` tells `sum` to treat `A` as a stack of row vectors and compute the sum of each one, result in a column vector containing row sums.

sum(A,2)

ans = 15 15 15

Of course, a magic square has the same row sums as column sums, which is why a magic square was probably a bad choice for this example. However, my employment contract requires that I use `magic(3)` at every opportunity.

Now, suppose I have an RGB image, `F`, which is MxNx3, and I want to compute the sum of each of the three component images, `F(:,:,1)`, `F(:,:,2)`, and `F(:,:,3)`? For most of MATLAB history, this is what we would tell you to do: Compute the column sums and then compute the row sums of the result. (Or, you could do it the other way 'round and get the same answer.)

```
F = imread('peppers.png');
c = sum(sum(F,1),2)
```

c(:,:,1) = 23746472 c(:,:,2) = 13054194 c(:,:,3) = 11331211

OK, suppose I want to compute the sum of **all** the elements of `F`? The historical answer: convert `F` to a single column vector using the expression `F(:)` and then call `sum`.

sum(F(:))

ans = 48131877

But those coding patterns are **SO** R2018a. With the R2018b release, `DIM` can be a vector, and it call also be the string `"all"` (or `'all'`). Computing the sum of the each of the three component images can now be:

sum(F,[1 2])

ans(:,:,1) = 23746472 ans(:,:,2) = 13054194 ans(:,:,3) = 11331211

And computing the sum of all of the elements of the three-dimensional array can be:

sum(F,[1 2 3])

ans = 48131877

or

```
sum(F,"all")
```

ans = 48131877

After you have summed everything in sight that seems to need summing, you can check out these other MATLAB vector-wise functions that also have this new `DIM` behavior: `all`, `any`, `bounds`, `max`, `min`, `mean`, `median`, `mode`, `prod`, `std`, and `var`.

Let me leave you with a little bit of programming advice related to these functions. If you are certain that the input argument you are passing to one of these functions is a vector (because you constructed or computed it yourself), then you can safely use the single-input syntax, like `sum(v)`. Otherwise, I recommend that you always provide the optional `DIM` argument to avoid certain ambiguities associated with MATLAB's forgiving definition of "vector."

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Published with MATLAB® R2019a

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