关于selection sort , 无需多说。
关于selection sort算法的分析:
(1)比较的次数总是O(n^2), 赋值的次数为O(n),
(2)一般而言, 该排序算法仅对小的List 效果比较好。因为算法的复杂度很大, 也就是随着输入规模的增大时间复杂度增长很快。, 达到O(n^2), 然而, 当如果数据的移动的代价很大的时候, 但是进行数据间的比较的代价较小的时候, 这个排序算法可能是一个better choice over other sorting algorithms.
//selection sort for array based list
#include <iostream>
#include <ctime>
#include <cstdlib>
#include <iomanip>
using namespace std;
// find the minimum loaction
template <class elemType>
void print(elemType list[], int length);
template <class elemType>
int minLocation(elemType[], int, int);
// do swap
template <class elemType>
void swap(elemType[], int, int);
//selection sort 总程序
template <class elemType>
void selectionSort(elemType[], int);
int main() {
int intList[100];
int num;
for (int i = 0; i < 100; i++){
num = (rand() + time(0)) %1000;
intList[i] = num;
}
cout << "intList before sorting: " << endl;
print(intList, 100);
cout << endl << endl;
selectionSort(intList, 100);
cout << "intList after selection sort: " << endl;
print(intList, 100);
cout << endl;
system("Pause");
return 0;
}
template <class elemType>
void print(elemType list[], int length) {
int count = 0;
for(int i = 0; i < length; i++) {
cout << setw(5) << list[i];
count++;
if(count % 10 == 0)
cout << endl;
}
}
template <class elemType>
int minLocation(elemType list[], int first, int last) {
int minIndex = first;
for(int loc = first + 1; loc <= last; loc++) {
if (list[loc] < list[minIndex])
minIndex = loc;
}
return minIndex;
}
template <class elemType>
void swap(elemType list[], int first, int second) {
elemType temp;
temp = list[first];
list[first] = list[second];
list[second] = temp;
}
template <class elemType>
void selectionSort(elemType list[], int length) {
int minIndex;
for (int loc = 0; loc < length - 1; loc++) {
minIndex = minLocation(list, loc, length - 1);
swap(list, loc, minIndex);
}
}
运行结果如下: