The last week I stumbled over this paper where the authors mention on the second page:
Note that this yields a linear running time for integer edge weights.
The same on the third page:
This yields a linear running time for integer edge weights and O(m log n) for comparison-based sorting.
And on the 8th page:
In particular, using fast integer sorting would probably accelerate GPA considerably.
Does this mean that there is a O(n) sorting algorithm under special circumstances for integer values? Or is this a specialty of graph theory?
PS:
It could be that reference [3] could be helpful because on the first page they say:
Further improvements have been achieved for [..] graph classes such as integer edge weights [3], [...]
but I didn't have access to any of the scientific journals.
Yes, radix sort and counting sort are O(N)
. They are NOT comparison-based sorts, which have been proven to have Ω(N log N)
lower bound.
To be precise, radix sort is O(kN)
, where k
is the number of digits in the values to be sorted. Counting sort is O(N + k)
, where k
is the range of the numbers to be sorted.
There are specific applications where k
is small enough that both radix sort and counting sort exhibit linear-time performance in practice.