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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