一些常见的大O运行时间(以排序算法举例)
O(log n), 也叫对数时间,这样的算法包括二分查找
O(n) , 也叫线性时间,这样的算法包括简单查找
O(n*log n),快速排序——一种较快的排序算法
O(n^2), 选择排序——一种较慢的排序算法
O(n!), 旅行商问题解决方案—一种非常慢的算法
二分查找测试
/*二分查找测试*/
#include<stdio.h>
#include<stdlib.h>
#include<string.h>
#define NUM 5
int binary(int* list, int item);
int main() {
int find,find1;
int num[NUM] = { 1,3,5,7,9 };
find = binary(num, 3);
find1 = binary(num, -1);
printf("%d\n%d", find, find1);
}
int binary(int *list,int item){
int mid;
int guess;
int low = 0;
int high = NUM- 1;
while (low <= high){
mid = (low + high) / 2;
guess = list[mid];
if (guess == item)
return list[mid];
if (guess > item)
high = mid - 1;
if (guess < item)
low = mid + 1;
}
return NULL;
}
用二分查找在有序列表中查找人名
#include<stdio.h>
#include<stdlib.h>
#include<string.h>
#define NUM 5
int binary(const char* list[], const char* item);
int main() {
int find_qsort,find1_qsort;
const char* list[10] = {
"Amelia",
"Ava",
"Charlotte",
"Emma",
"Mia",
"Isabella",
"Olivia",
"Sophia",
"Zala"
};
find_qsort = binary(list, "Ava");
find1_qsort = binary(list, "Mia");
printf("%s\n%s", list[find_qsort], list[find1_qsort]);
}
int binary(const char *list[],const char *item){
int mid;
const char* guess;
int low = 0;
int high = NUM- 1;
while (low <= high){
mid = (low + high) / 2;
guess = list[mid];
if (guess == item)
return mid;
if (guess > item)
high = mid - 1;
if (guess < item)
low = mid + 1;
}
return NULL;
}
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