# Comb sort

Class Sorting algorithm Array $\Omega(n^2)$[1] $O(n)$ $\Omega(n^2/2^p)$, where p is the number of increments[1] $O(1)$

Comb sort is a relatively simple sorting algorithm originally designed by Włodzimierz Dobosiewicz in 1980.[1] Later it was rediscovered by Stephen Lacey and Richard Box in 1991.[2] Comb sort improves on bubble sort.

## Algorithm

The basic idea is to eliminate turtles, or small values near the end of the list, since in a bubble sort these slow the sorting down tremendously. Rabbits, large values around the beginning of the list, do not pose a problem in bubble sort.

In bubble sort, when any two elements are compared, they always have a gap (distance from each other) of 1. The basic idea of comb sort is that the gap can be much more than 1 (Shell sort is also based on this idea, but it is a modification of insertion sort rather than bubble sort).

In other words, the inner loop of bubble sort, which does the actual swap, is modified such that gap between swapped elements goes down (for each iteration of outer loop) in steps of shrink factor. i.e. [ input size / shrink factor, input size / shrink factor^2, input size / shrink factor^3, ...., 1 ]. Unlike in bubble sort, where the gap is constant i.e. 1.

The gap starts out as the length of the list being sorted divided by the shrink factor (generally 1.3; see below), and the list is sorted with that value (rounded down to an integer if needed) as the gap. Then the gap is divided by the shrink factor again, the list is sorted with this new gap, and the process repeats until the gap is 1. At this point, comb sort continues using a gap of 1 until the list is fully sorted. The final stage of the sort is thus equivalent to a bubble sort, but by this time most turtles have been dealt with, so a bubble sort will be efficient.

The shrink factor has a great effect on the efficiency of comb sort. In the original article, the author suggested $\tfrac{4}{3}$. A value too small slows the algorithm down because more comparisons must be made, whereas a value too large means that no comparisons will be made. Lacey and Box empirically found (by testing Combsort on over 200,000 random lists) the shrink factor of 1.3 to be the best.

## Implementations

### Pseudocode

```function combsort(array input)
gap := input.size //initialize gap size
shrink := 1.3 //set the gap shrink factor

loop until gap = 1 and swapped = false
//update the gap value for a next comb. Below is an example
gap := int(gap / shrink)
if gap < 1
//minimum gap is 1
gap := 1
end if
i := 0
swapped := false //see bubblesort for an explanation
//a single "comb" over the input list
loop until i + gap >= input.size //see shellsort for similar idea
if input[i] > input[i+gap]
swap(input[i], input[i+gap])
swapped := true // Flag a swap has occurred, so the
// list is not guaranteed sorted
end if
i := i + 1
end loop
end loop
end function
```

### C

```void comb_sort(int *input, size_t size) {
const float shrink = 1.3f;
int swap;
size_t i, gap = size;
bool swapped = false;

while ((gap > 1) || swapped) {
if (gap > 1) {
gap = (size_t)((float)gap / shrink);
}

swapped = false;

for (i = 0; gap + i < size; ++i) {
if (input[i] - input[i + gap] > 0) {
swap = input[i];
input[i] = input[i + gap];
input[i + gap] = swap;
swapped = true;
}
}
}
}
```