在浏览linuxc中看到一种快排的利用,求最小值,然而要求工夫复杂度放弃在O(n).
实现如下,k代表要找的第k小!
#include<iostream>
using namespace std;
#define LEN 8
int order_partition(int a[], int low, int high,int k){
k = a[low];
while(low<high){
while(low <high && a[high]>= k )
high--;
if(low<high)
a[low++] = a[high];
while( low<high && a[low]<= k )
low++;
if(low<high)
a[high--] = a[low];
}
a[low] = k;
return low;
}
int order_K_statistic(int a[],int start,int end, int k){
int i;
while(end>=start){
i = order_partition(a,start,end,k);
if(k == i){
return a[i];
}else if(k > i && k < LEN){
return order_K_statistic(a,i+1,end,k);
}else if(k < i && k >= 0){
return order_K_statistic(a,start,i-1,k);
}else{
return -1;
}
}
}
int main(){
int a[LEN] = { 5, 2, 4, 7, 1, 3, 2, 6 };
int x = 0;
for(int i = 0; i < LEN; i++){
x = order_K_statistic(a,0,LEN-1,i);
printf("%d\n",x);
}
return 0;
}
能够剖析一下为什么工夫复杂度是Θ(n),在最好状况下每次丢掉一半的元素,n+n/2+n/4+n/8+…=2n,均匀状况下的剖析比较复杂,但疾速排序相似,工夫复杂度和最好状况下统一。(摘自《linuxc》)
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