I saw this question on Reddit, and there were no positive solutions presented, and I thought it would be a perfect question to ask here. This was in a thread about interview
By working with a[i] % a.length instead of a[i] you reduce the problem to needing to determine that you've got the numbers 0 to a.length - 1.
We take this observation for granted and try to check if the array contains [0,m).
Find the first node that's not in its correct position, e.g.
0 1 2 3 7 5 6 8 4 ; the original dataset (after the renaming we discussed)
^
`---this is position 4 and the 7 shouldn't be here
Swap that number into where it should be. i.e. swap the 7 with the 8:
0 1 2 3 8 5 6 7 4 ;
| `--------- 7 is in the right place.
`--------------- this is now the 'current' position
Now we repeat this. Looking again at our current position we ask:
"is this the correct number for here?"
Following this rule again, we get:
0 1 2 3 4 5 6 7 8 ; 4 and 8 were just swapped
This will gradually build up the list correctly from left to right, and each number will be moved at most once, and hence this is O(n).
If there are dupes, we'll notice it as soon is there is an attempt to swap a number backwards in the list.