1- Repeat step 2 and 3 varying j from 0 to n-2
2- Find the index at the minimum value in arr[j] to arr[n-1]
a- set min_index = j
b- repeat step c varying i from j+1 to n-1
c- if arr[i] < arr [min_index]:
1- min_index = i
3-swap arr[j] with arr[min_index]
The Big O notation of the selection sort algorithm is O(n2), indicating that its time complexity is quadratic.
Quick sort is more efficient for large datasets compared to selection sort.
Selection sort is more efficient for small datasets compared to bubble sort.
The best case complexity of the selection sort algorithm is (O(n^2)). This is because the algorithm always consists of two nested loops: one for selecting each element and another for finding the minimum element from the unsorted portion of the array. Regardless of the initial order of the elements, selection sort will always perform the same number of comparisons and swaps, leading to a quadratic time complexity.
Change every "<" to ">" and ">" to "<" .
Selection sort has the following implementation: // sort an array if integers of length size in ascending order using selection sort algorithm: void selection_sort (int a[], unsigned size) { unsigned i, max; while (size > 1) { max = 0; for (i=1; i!=size; ++i) if (a[i] > a[max]) max = i; swap (a[max], a[--size]); } }
There are no records of when insertion sort was invented because people have been sorting things using the insertion sort and selection sort algorithms since before records began; they are ancient algorithms. You cannot be credited for creating an algorithm that already exists. Shell sort, which is a refinement of insertion sort, was developed much later, in 1959 by Donald Shell. His algorithm can be credited because it takes advantage of a computer's processing abilities, whereas insertion sort and selection sort rely purely on a human's processing abilities.
Yes, Quick Sort is an in-place sorting algorithm.
Yes, bubble sort is a stable sorting algorithm.
Yes, radix sort is an in-place sorting algorithm.
There is no worst case for merge sort. Each sort takes the same amount of steps, so the worst case is equal to the average case and best case. In each case it has a complexity of O( N * log(N) ).
The pseudocode for the selection sort algorithm is as follows: Start with the first element as the minimum. Compare the minimum with the next element in the list. If the next element is smaller, update the minimum. Continue this process until the end of the list is reached. Swap the minimum element with the first element. Repeat the process for the remaining elements in the list. Selection sort works by repeatedly finding the minimum element from the unsorted part of the list and swapping it with the first unsorted element. This process continues until the entire list is sorted.