However, this complicates the example code, so it is not shown here. 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. While length(left) > 0 and length(right) > 0 The functions in pseudocode look like this: The merge sort algorithm comes in two parts: Write a function to sort a collection of integers using the merge sort. This is how the algorithm gets its divide and conquer description. Then merge the groups back together so that their elements are in order. 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). 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 merge sort is a recursive sort of order n*log(n). It may be applied to a set of data in order to sort it.įor comparing various sorts, see compare sorts.įor other sorting algorithms, see sorting algorithms, or:
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