Print Article

Zero has an old printer that doesn‘t work well sometimes. As it is antique, he still like to use it to print articles. But it is too old to work for a long time and it will certainly wear and tear, so Zero use a cost to evaluate this degree.
One day Zero want to print an article which has N words, and each word i has a cost Ci to be printed. Also, Zero know that print k words in one line will cost

M is a const number.
Now Zero want to know the minimum cost in order to arrange the article perfectly.

5 5
5
9
5
7
5

230

/*分析：
假设sum[i]表示前i项和
dp[i]表示前i项需要花费的最少值
则dp[i]=min((sum[i]-sum[j])^2+m+dp[j]);//j=0~i-1
=>dp[i]=min(sum[i]*sum[i]+2*sum[i]*sum[j]+sum[j]*sum[j]+m+dp[j]);
由于存在sum[i]*sum[j]和i有关的这一项,所以不可能用单调队列来维护
2*sum[i]*sum[j]+sum[j]*sum[j]+m+dp[j]的最小值
这个时候怎么办??根据题意我们是要寻找到最优的j
所以假设k<j<i
有2*sum[i]*sum[j]+sum[j]*sum[j]+m+dp[j]<2*sum[i]*sum[k]+sum[k]*sum[k]+m+dp[k]
=>(sum[j]*sum[j]+dp[j]-(sum[k]*sum[k]+dp[k]))/(2*sum[j]-2*sum[k])<sum[i];
令
yj=sum[j]*sum[j]+dp[j]
yk=sum[k]*sum[k]+dp[k]
xj=2*sum[j];
xk=2*sum[k]
所以=>(yj-yk)/(xj-xk)<sum[i]则表示j比k更优 
是连接点j和点k的直线的斜率
相对于点i最优的是j,
则在0~j相对于i+1,i+2...n点j肯定是最优的,因为满足sum[i+x]>sum[i]>yj-yk)/(xj-xk)
则只需要继续判断j+1~i+x之间是否有点更优,有的话j就不用保存了，这个过程用单调队列实行
而对于点i应该添加到队列中
比较i与点q[tail-1],q[tail-1]与点q[tail-2]的斜率k1,k2,
若k1<=k2则将点q[tail-1]去除,因为后面肯定是先k1<sum[i+x] 
也就是点i肯定比q[tail-1]更优
然后重复比较直到k1>k2 
*/
#include <iostream>
#include <cstdio>
#include <cstdlib>
#include <cstring>
#include <string> 
#include <queue>
#include <algorithm>
#include <map>
#include <cmath>
#include <iomanip>
#define INF 99999999
typedef long long LL;
using namespace std;

const int MAX=500000+10;
int n,m;
int dp[MAX],sum[MAX],q[MAX];

int GetY(int i,int j){
	return sum[i]*sum[i]+dp[i]-(sum[j]*sum[j]+dp[j]);
}

int GetX(int i,int j){
	return 2*(sum[i]-sum[j]);
}

int main(){
	int x;
	while(~scanf("%d%d",&n,&m)){
		int head=0,tail=0;
		q[tail++]=0;//这一步必须,因为可能前i个数全部作为一段才是最小值 
		for(int i=1;i<=n;++i){
			scanf("%d",&x);
			sum[i]=sum[i-1]+x;
			while(head+1<tail && GetY(q[head+1],q[head])<=GetX(q[head+1],q[head])*sum[i])++head;//更新最优的点
			dp[i]=(sum[i]-sum[q[head]])*(sum[i]-sum[q[head]])+m+dp[q[head]];//计算dp[i]的最小值
			while(head+1<tail && GetY(i,q[tail-1])*GetX(q[tail-1],q[tail-2])<=GetY(q[tail-1],q[tail-2])*GetX(i,q[tail-1]))--tail;
			q[tail++]=i; 
		}
		printf("%d\n",dp[n]);
	}
	return 0;
}

hdu3507之斜率优化DP入门,布布扣,bubuko.com

hdu3507之斜率优化DP入门

原文：http://blog.csdn.net/xingyeyongheng/article/details/25912663