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Assume that we wish to sort the array in increasing order, i. We begin by selecting the largest element and moving it to the highest index position.
We can do this by swapping the element at the highest index and the largest element. We then reduce the effective size of the array by one element and repeat the process on the smaller sub array. The process stops when the effective size of the array becomes 1 an array of 1 element is already sorted.
|Exponential Search Algorithm||History[ edit ] From the beginning of computing, the sorting problem has attracted a great deal of research, perhaps due to the complexity of solving it efficiently despite its simple, familiar statement. Classification[ edit ] Sorting algorithms are often classified by:|
For example, consider the following array, shown with array elements in sequence separated by commas: The leftmost element is at index zero, and the rightmost element is at the highest array index, in our case, 4 the effective size of our array is 5.
The largest element in this effective array index is at index 2. We have shown the largest element and the one at the highest index in bold. We then swap the element at index 2 with that at index 4.
We reduce the effective size of the array to 4, making the highest index in the effective array now 3. The largest element in this effective array index is at index 1, so we swap elements at index 1 and 3 in bold: The next two steps give us: The last effective array has only one element and needs no sorting.
The entire array is now sorted. The algorithm for an array, x, with lim elements is easy to write down: We may be concerned about the efficiency of our algorithm and its implementation as a program. The efficiency of an algorithm depends on the number of major computations involved in performing the algorithm.
The efficiency of the program depends on that of the algorithm and the efficiency of the code implementing the algorithm. A function call requires added processing time in order to store argument values, transfer program control, and retrieve the returned value.
When a function call is in a loop that may be executed many times, the extra processing time may become significant. Thus, if the array to be sorted is quite large, we can improve program efficiency by eliminating a function call to swap data elements.Selection sort is notable for its programming simplicity and it can over perform other sorts in certain situations (see complexity analysis for more details).
Algorithm The idea of algorithm is quite simple. Selection sort algorithm. This is C# example code for a selection sort algorithm.
In the selection sort, the list to be sorted is divided into tow parts: sorted and unsorted parts. Insertion sort is a sorting algorithm that builds a final sorted array (sometimes called a list) one element at a time.
While sorting is a simple concept, it is a basic principle used in complex computer programs such as file search, data compression, and path finding. Selection Sort, Bubble Sort, Insertion Sort, Merge Sort, Heap Sort, QuickSort, Radix Sort, Counting Sort, Bucket Sort, ShellSort, Comb Sort, Coding practice for sorting.
Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above. So the first one I want to talk about it's what's called selection sort.
And it's on your handout, and I'm going to bring the code up here, you can see it, it's called cell sort, just for selection sort.
So this is a nice little search--sorry, a nice little sort algorithm. And . Summary: this tutorial explains how the selection sort algorithm works and shows you how to implement the selection sort in C..
Introduction to the selection sort algorithm. The selection sort is a simple sorting algorithm. The following illustrates the steps of the selection sort algorithm.