POJ 3253 Fence Repair(优先队列)

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Description

Farmer John wants to repair a small length of the fence around the pasture. He measures the fence and finds that he needs N (1 ≤ N ≤ 20,000) planks of wood, each having some integer length Li(1 ≤ Li ≤ 50,000) units. He then purchases a single long board just long enough to saw into the N planks (i.e., whose length is the sum of the lengths Li). FJ is ignoring the "kerf", the extra length lost to sawdust when a sawcut is made; you should ignore it, too.

FJ sadly realizes that he doesn't own a saw with which to cut the wood, so he mosies over to Farmer Don's Farm with this long board and politely asks if he may borrow a saw.

Farmer Don, a closet capitalist, doesn't lend FJ a saw but instead offers to charge Farmer John for each of the N-1 cuts in the plank. The charge to cut a piece of wood is exactly equal to its length. Cutting a plank of length 21 costs 21 cents.

Farmer Don then lets Farmer John decide the order and locations to cut the plank. Help Farmer John determine the minimum amount of money he can spend to create the N planks. FJ knows that he can cut the board in various different orders which will result in different charges since the resulting intermediate planks are of different lengths.

Input

Line 1: One integer N, the number of planks 
Lines 2..N+1: Each line contains a single integer describing the length of a needed plank

Output

Line 1: One integer: the minimum amount of money he must spend to make N-1 cuts

Sample Input

3858

Sample Output

34

Hint

He wants to cut a board of length 21 into pieces of lengths 8, 5, and 8. 

The original board measures 8+5+8=21. The first cut will cost 21, and should be used to cut the board into pieces measuring 13 and 8. The second cut will cost 13, and should be used to cut the 13 into 8 and 5. This would cost 21+13=34. If the 21 was cut into 16 and 5 instead, the second cut would cost 16 for a total of 37 (which is more than 34).


据说是哈夫曼算法,但是我写这题的时候并不知道什么哈夫曼,一样可以写

玩了很久才发现,每次取最小的两个数相加求和,所有和加起来就是最小和的和。

第一次玩优先队列,写了2 种方法的优先队列,时间复杂度有轻微区别

版本一:(16MS)

//Must so#include<iostream>#include<algorithm>#include<string>#include<sstream>#include<cstring>#include<ctype.h>#include<queue>#include<functional>#include<vector>#include<set>#include<cstdio>#include<cmath>#define mem(a,x) memset(a,x,sizeof(a))#define sqrt(n) sqrt((double)n)#define pow(a,b) pow((double)a,(int)b)#define inf 1<<29#define NN 1000006using namespace std;const double PI = acos(-1.0);typedef long long LL;//16 MSint main(){    int n;    while (~scanf("%d",&n))    {        priority_queue<int,vector<int>,greater<int> >q;//最小值优先(即从小到大排)        for (int i = 0,x;i < n;++i)        {            scanf("%d",&x);            q.push(x);        }        LL ans = 0;        while (!q.empty())        {            int a = q.top();            q.pop();            int b = q.top();            ans += a+b;            q.pop();            if (q.empty()) break;            q.push(a+b);           // cout<<a+b<<endl;        }        printf("%lld\n",ans);    }    return 0;}

版本二:(47MS)

//Must so#include<iostream>#include<algorithm>#include<string>#include<sstream>#include<cstring>#include<ctype.h>#include<queue>#include<functional>#include<vector>#include<set>#include<cstdio>#include<cmath>#define mem(a,x) memset(a,x,sizeof(a))#define sqrt(n) sqrt((double)n)#define pow(a,b) pow((double)a,(int)b)#define inf 1<<29#define NN 1000006using namespace std;const double PI = acos(-1.0);typedef long long LL;//47 MSstruct cmp{    bool operator ()(int &a,int &b)    {        return a > b;//最小值优先    }};int main(){    int n;    while (~scanf("%d",&n))    {        priority_queue<int,vector<int>,cmp>q;//最小值优先(即从小到大排)        for (int i = 0,x;i < n;++i)        {            scanf("%d",&x);            q.push(x);        }        LL ans = 0;        while (!q.empty())        {            int a = q.top();            q.pop();            int b = q.top();            ans += a+b;            q.pop();            if (q.empty()) break;            q.push(a+b);           // cout<<a+b<<endl;        }        printf("%lld\n",ans);    }    return 0;}
<p>//最后其实加了inline之后两个代码时间差不多</p>
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