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In computer science, selection sort is an in-place comparison sorting algorithm.It has a O(n 2) time complexity, which makes it inefficient on large lists, and generally performs worse than the similar insertion sort.
Insertion sort is very similar to selection sort. As in selection sort, after k passes through the array, the first k elements are in sorted order. However, the fundamental difference between the two algorithms is that insertion sort scans backwards from the current key, while selection sort scans forwards.
Selection sort is an in-place comparison sort. It has O(n 2) complexity, making it inefficient on large lists, and generally performs worse than the similar insertion sort. Selection sort is noted for its simplicity and also has performance advantages over more complicated algorithms in certain situations.
Insertion sort: Scan successive elements for an out-of-order item, then insert the item in the proper place. Selection sort : Find the smallest (or biggest) element in the array, and put it in the proper place.
We can easily construct a network of any size recursively using the principles of insertion and selection. Assuming we have a sorting network of size n , we can construct a network of size n + 1 by "inserting" an additional number into the already sorted subnet (using the principle underlying insertion sort ).
As an example, consider the sorting algorithms selection sort and insertion sort: selection sort repeatedly selects the minimum element from the unsorted remainder and places it at the front, which requires access to the entire input; it is thus an offline algorithm. On the other hand, insertion sort considers one input element per iteration ...
As a baseline algorithm, selection of the th smallest value in a collection of values can be performed by the following two steps: . Sort the collection; If the output of the sorting algorithm is an array, retrieve its th element; otherwise, scan the sorted sequence to find the th element.
Conventionally, insertion sort is used, but other algorithms could be used as well, such as selection sort or merge sort. Using bucketSort itself as nextSort produces a relative of radix sort ; in particular, the case n = 2 corresponds to quicksort (although potentially with poor pivot choices).