The elements in the reshaped matrix will always be orderded column-wise. For example, consider the following code:

```
using LinearAlgra
C = [1,2,3,4,5,6]
reshape(C, (2,3))
```

Output:

```
2×3 Matrix{Int64}:
1 3 5
2 4 6
```

Notice that number 2 is placed in the first column of the second row, instead of the second column of the first row.

Suppose that we want to create a 2-by-3 matrix where the first row is initially filled and the second row is filled afterwards. We can accomplish this by using `permutedims`

function.

```
permutedims(reshape(C, (3,2)), (2,1))
```

What above code does is first reshape matrix `C`

into three-by-two matrix.

```
reshape(C, (3,2))
```

```
3×2 Matrix{Int64}:
1 4
2 5
3 6
```

Then, `permutedims`

alters the matrix’s dimensions so that the first dimension of the new matrix corresponds to the second dimension of `reshape(C, (3,2))`

, and the second dimension of the new matrix corresponds to the first dimension of `reshape(C, (3,2))`

. This effectively takes the column of `reshape(C, (3,2))`

and places it as the row of the new matrix.

```
permutedims(reshape(C, (3,2)), (2,1))
```

Output:

```
2×3 Matrix{Int64}:
1 2 3
4 5 6
```