Insertion sort

Insertion sort

Graphical illustration of insertion sort
Class	Sorting algorithm
Data structure	Array
Worst-case performance	О(n2) comparisons, swaps
Best-case performance	O(n) comparisons, O(1) swaps
Average performance	О(n2) comparisons, swaps
Worst-case space complexity	О(n) total, O(1) auxiliary

Insertion sort is a simple sorting algorithm that builds the final sorted array (or list) one item at a time. It is much less efficient on large lists than more advanced algorithms such as quicksort, heapsort, or merge sort. However, insertion sort provides several advantages:

When people manually sort cards in a bridge hand, most use a method that is similar to insertion sort.

Insertion sort iterates, consuming one input element each repetition, and growing a sorted output list. Each iteration, insertion sort removes one element from the input data, finds the location it belongs within the sorted list, and inserts it there. It repeats until no input elements remain.

Sorting is typically done in-place, by iterating up the array, growing the sorted list behind it. At each array-position, it checks the value there against the largest value in the sorted list (which happens to be next to it, in the previous array-position checked). If larger, it leaves the element in place and moves to the next. If smaller, it finds the correct position within the sorted list, shifts all the larger values up to make a space, and inserts into that correct position.

The resulting array after k iterations has the property where the first k + 1 entries are sorted ("+1" because the first entry is skipped). In each iteration the first remaining entry of the input is removed, and inserted into the result at the correct position, thus extending the result:

becomes

with each element greater than x copied to the right as it is compared against x.

The most common variant of insertion sort, which operates on arrays, can be described as follows:

Pseudocode of the complete algorithm follows, where the arrays are zero-based: