{{Sorting Algorithm}}
[[Category:Recursion]]
The '''merge sort''' is a recursive sort of order n*log(n).
It is notable for having a worst case and average complexity of ''O(n*log(n))'', and a best case complexity of ''O(n)'' (for pre-sorted input).
The basic idea is to split the collection into smaller groups by halving it until the groups only have one element or no elements (which are both entirely sorted groups).
Then merge the groups back together so that their elements are in order.
This is how the algorithm gets its ''divide and conquer'' description.
;Task:
Write a function to sort a collection of integers using the merge sort.
The merge sort algorithm comes in two parts:
a sort function and
a merge function
The functions in pseudocode look like this:
'''function''' ''mergesort''(m)
'''var''' list left, right, result
'''if''' length(m) ≤ 1
'''return''' m
'''else'''
'''var''' middle = length(m) / 2
'''for each''' x '''in''' m '''up to''' middle - 1
'''add''' x '''to''' left
'''for each''' x '''in''' m '''at and after''' middle
'''add''' x '''to''' right
left = mergesort(left)
right = mergesort(right)
'''if''' last(left) ≤ first(right)
'''append''' right '''to''' left
'''return''' left
result = merge(left, right)
'''return''' result
'''function''' ''merge''(left,right)
'''var''' list result
'''while''' length(left) > 0 and length(right) > 0
'''if''' first(left) ≤ first(right)
'''append''' first(left) '''to''' result
left = rest(left)
'''else'''
'''append''' first(right) '''to''' result
right = rest(right)
'''if''' length(left) > 0
'''append''' rest(left) '''to''' result
'''if''' length(right) > 0
'''append''' rest(right) '''to''' result
'''return''' result
;See also:
* the Wikipedia entry: [[wp:Merge_sort| merge sort]]
Note: better performance can be expected if, rather than recursing until length(m) ≤ 1, an insertion sort is used for length(m) smaller than some threshold larger than '''1'''. However, this complicates the example code, so it is not shown here.