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Some people might have a different way of sorting cards called a selection sort. They continue this until all 52 cards are sorted. Then, they take the 3rd unsorted card, and puts it into the proper position among the first 2.
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Then, they take the next (2nd) unsorted card, and puts it in front of or behind the 1st card, depending on order. They maintain a stack of sorted cards, initially just one card. Most humans use what is called insertion sort. Also, anyone who has sorted a stack of playing cards has probably used a sorting algorithm. Typically, you memorize a small multiplication table for single digits numbers, and then apply the long multiplication algorithm to multiply large numbers. For example, "long multiplication" is often taught in early grade school as an algorithm for multiplying large numbers. We learn many algorithms without even realizing they are algorithms. Bubble sort also consumes additional space for storing temporary variable and needs more swaps.Why do we learn about sorting What are insertion and selection sort? Selection sort algorithm is fast and efficient as compared to bubble sort which is very slow and inefficient.īubble sort algorithm is considered to be the most simple and inefficient algorithm, but selection sort algorithm is efficient as compared to bubble sort.Bubble sort is a stable algorithm, in contrast, selection sort is unstable.Bubble sort takes an order of n time whereas selection sort consumes an order of n 2 time. The worst case complexity is same in both the algorithms, i.e., O(n 2), but best complexity is different.The selected element could be largest or smallest depending on the order i.e., ascending or descending. On the other hand, selection sort works by selecting the element and swapping that particular element with the last element. In the bubble sort, each element and its adjacent element is compared and swapped if required.Key Differences Between Bubble Sort and Selection Sort Selection sort is faster than Bubble sort. In selection sort, the sorted and unsorted array doesn’t make any difference and consumes an order of n 2 ( O(n 2)) in both best and worst case complexity. Suppose we want to arrange an array in ascending order then it functions by finding the largest element and exchanging it with the last element, and repeat the following process on the sub-arrays till the whole list is sorted. Selection sort has achieved slightly better performance and is efficient than bubble sort algorithm. This technique also requires additional space to store the temporary variable. In the best case, it is of order n because it just compares the elements and doesn’t swap them. The best case complexity (When the list is in order) of the Bubble sort is of order n ( O(n)), and worst case complexity is O(n 2). This algorithm is the slowest sorting algorithm. And after each iteration, the number of comparisons decreases and at last iteration only one comparison takes place.
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The largest element would be at nth position after the first iteration. The number of comparisons in the first iteration are n-1 where n is the number elements in an array. Similarly, Second and third element are compared and swapped, and this comparing and swapping go on to the end of the list. In simple words, it compares the first and second element of the list and swaps it unless they are out of specific order. Bubble sort is the simplest iterative algorithm operates by comparing each item or element with the item next to it and swapping them if needed.