I know that arrays are column based in julia but maybe I’m missing something.

Want to subtract the column minimum from each column in a matrix and then the same with rows.

Currently doing this:

```
# subtract col minimum
for c=1:ncols
@views mat[:,c] .-= minimum(mat[:,c])
end
# subtract row minimum
row_minima = findmin(mat, dims=2)[1]
for r=1:nrows
@views mat[r,:] .-= row_minima[r]
end
```

which takes about 6s for a 16000*16000 UInt16 matrix.

The first part (col minimum) takes about 0.3s so is way faster than the second one.

First I used:

```
for r=1:nrows
@views mat[r,:] .-= minimum(mat[r,:])
end
```

which takes 10s so mine is at least faster but maybe there is something I’m missing out. Thanks in advance.