Comparison sorts | Sorting algorithms

Selection sort

In computer science, selection sort is an in-place comparison sorting algorithm. It has an O(n2) time complexity, which makes it inefficient on large lists, and generally performs worse than the similar insertion sort. Selection sort is noted for its simplicity and has performance advantages over more complicated algorithms in certain situations, particularly where auxiliary memory is limited. The algorithm divides the input list into two parts: a sorted sublist of items which is built up from left to right at the front (left) of the list and a sublist of the remaining unsorted items that occupy the rest of the list. Initially, the sorted sublist is empty and the unsorted sublist is the entire input list. The algorithm proceeds by finding the smallest (or largest, depending on sorting order) element in the unsorted sublist, exchanging (swapping) it with the leftmost unsorted element (putting it in sorted order), and moving the sublist boundaries one element to the right. The time efficiency of selection sort is quadratic, so there are a number of sorting techniques which have better time complexity than selection sort. (Wikipedia).

Selection sort
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Selection Sort Algorithm

This presentation discusses the selection sort algorithm. Before writing code students should be able to sort an array on paper and show how the array is reorganized after each iteration of the selection sort algorithm. See my web link below. – – – – – – – – – – – – – – – –

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Related pages

Big O notation | Bubble sort | Arithmetic progression | Heapsort | Time complexity | The Art of Computer Programming | Cocktail shaker sort | Cycle sort | Sorting algorithm | Comparison sort | Pseudocode | Insertion sort | Counting sort | Gnome sort | Selection algorithm | Heap (data structure) | In-place algorithm