n-1
No. Tournament sort is a variation of heapsort but is based upon a naive selection sort. Selection sort takes O(n) time to find the largest element and requires n passes, and thus has an average complexity of O(n*n). Tournament sort takes O(n) time to build a priority queue and thus reduces the search time to O(log n) for each selection, and therefore has an average complexity of O(n log n), the same as heapsort.
Because the quick sort can be used for large lists but selection not. selection sort is used to find the minimum element ,but quick choose element called pivot and move all smaller nums before it & larger after it.
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]); } }
None. Selection sort can only be used on small sets of unsorted data and although it generally performs better than bubble sort, it is unstable and is less efficient than insert sort. This is primarily because insert sort only needs to scan as far back as required to perform an insertion whereas selection sort must scan the entire set to find the lowest value in the set. And although selection sort generally performs fewer writes than insert sort, it cannot perform fewer writes than cycle sort, which is important in applications where write speed greatly exceeds read speed.
O(n2)
5 ( 5 - 1 )
No. Tournament sort is a variation of heapsort but is based upon a naive selection sort. Selection sort takes O(n) time to find the largest element and requires n passes, and thus has an average complexity of O(n*n). Tournament sort takes O(n) time to build a priority queue and thus reduces the search time to O(log n) for each selection, and therefore has an average complexity of O(n log n), the same as heapsort.
Quick sort is more efficient for large datasets compared to selection sort.
Selection sort is more efficient for small datasets compared to bubble sort.
selection sort
You sort a selected range of cells.
No
Because the quick sort can be used for large lists but selection not. selection sort is used to find the minimum element ,but quick choose element called pivot and move all smaller nums before it & larger after it.
It is more appropriate to use insertion sort when the list is nearly sorted or has only a few elements out of place. Insertion sort is more efficient in these cases compared to selection sort.
The Big O notation of the selection sort algorithm is O(n2), indicating that its time complexity is quadratic.
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]); } }
None. Selection sort can only be used on small sets of unsorted data and although it generally performs better than bubble sort, it is unstable and is less efficient than insert sort. This is primarily because insert sort only needs to scan as far back as required to perform an insertion whereas selection sort must scan the entire set to find the lowest value in the set. And although selection sort generally performs fewer writes than insert sort, it cannot perform fewer writes than cycle sort, which is important in applications where write speed greatly exceeds read speed.