The naive algorithm, iterating through a list of n unsorted items, has a worst-case, average-case and best-case run-time of O(n2), assuming that comparisons can be done in constant time.
Heapsort optimizes the algorithm by using a heap data structure to speed up the finding and removing of the lowest datum.
Here is a simple implementation of selection sort in C (from pd lecture notes (http://www.cs.utexas.edu/users/djimenez/utsa/cs3343/lecture1)):
int find_min_index (float [], int, int); void swap (float [], int, int); /* selection sort on array v of n floats */ void selection_sort (float v[], int n) { int i; /* for i from 0 to n-1, swap v[i] with the minimum * of the i'th to the n'th array elements */ for (i=0; i<n-1; i++) swap (v, i, find_min_index (v, i, n)); } /* find the index of the minimum element of float array v from * indices start to end */ int find_min_index (float v[], int start, int end) { int i, mini; mini = start; for (i=start+1; i<end; i++) if (v[i] < v[mini]) mini = i; return mini; } /* swap i'th with j'th elements of float array v */ void swap (float v[], int i, int j) { float t; t = v[i]; v[i] = v[j]; v[j] = t; }
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