Indeed, selection sort does one pass through the remaining items for each item moved.

This can be seen as an incomplete selection sort.

Heapsort is a much more efficient version of selection sort.

The name of this sorting algorithm is selection sort.

Selection sort if the priority queue is implemented with an unordered array.

Selection sort can be implemented as a stable sort.

Selection sort is noted for its simplicity, and also has performance advantages over more complicated algorithms in certain situations.

Selection sort can also be used on list structures that make add and remove efficient, such as a linked list.

It improves upon the naive selection sort by using a priority queue to find the next element in the sort.

Insertion sort is very similar to selection sort.

Tournament replacement selection sorts are used to gather the initial runs for external sorting algorithms.

In computer science, selection sort is a sorting algorithm, specifically an in-place comparison sort.

Selection sort is not difficult to analyze compared to other sorting algorithms since none of the loops depend on the data in the array.

Selection sorts include shaker sort and heapsort.

Calculations show that insertion sort will usually perform about half as many comparisons as selection sort.

Selection sort is an in-place comparison sort.

As in selection sort, after k passes through the array, the first k elements are in sorted order.

However, insertion sort or selection sort are both typically faster for small arrays (i.e. fewer than 10-20 elements).

This is the same relation as for insertion sort and selection sort, and it solves to worst case .

If the input array is reverse-sorted, insertion sort performs as many comparisons as selection sort.

Heapsort is a comparison-based sorting algorithm to create a sorted array (or list), and is part of the selection sort family.

(For example, selection sort requires that the entire list be given before it can sort it, while insertion sort doesn't.)

Among simple average-case Θ(n) algorithms, selection sort almost always outperforms bubble sort and gnome sort.

A useful optimization in practice for the recursive algorithms is to switch to insertion sort or selection sort for "small enough" sublists.