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.
While not very practical (mainly due to the large memory overhead), I thought I would mention Abacus (Bead) Sort as another interesting linear time sorting algorithm.
Adding a little more detail - Practically the best sorting algorithm till date is not O(n) , but 0(n\sqrt {\log \log n}) .
You can check more details about this algo in the paper : http://dl.acm.org/citation.cfm?id=652131
Yes, radix sort and counting sort are
O(N)
. They are NOT comparison-based sorts, which have been proven to haveΩ(N log N)
lower bound.To be precise, radix sort is
O(kN)
, wherek
is the number of digits in the values to be sorted. Counting sort isO(N + k)
, wherek
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.Comparison sorts must be at least Ω(n log n) on average.
However, counting sort and radix sort scale linearly with input size – because they are not comparison sorts, they exploit the fixed structure of the inputs.
Counting sort: http://en.wikipedia.org/wiki/Counting_sort if your integers are fairly small. Radix sort if you have bigger numbers (this is basically a generalization of counting sort, or an optimization for bigger numbers if you will): http://en.wikipedia.org/wiki/Radix_sort
There is also bucket sort: http://en.wikipedia.org/wiki/Bucket_sort
These hardware-based sorting algorithms:
A Comparison-Free Sorting Algorithm
Sorting Binary Numbers in Hardware - A Novel Algorithm and its Implementation
Laser Domino Sorting Algorithm - a thought experiment by me based on Counting Sort with an intention to achieve
O(n)
time complexity over Counting Sort'sO(n + k)
.