A - Max Sum Plus Plus——POJ
来源:互联网 发布:springmvc json转对象 编辑:程序博客网 时间:2024/06/15 18:15
A - Max Sum Plus Plus
Time Limit:1000MS Memory Limit:32768KB 64bit IO Format:%I64d & %I64uDescription
Now I think you have got an AC in Ignatius.L's "Max Sum" problem. To be a brave ACMer, we always challenge ourselves to more difficult problems. Now you are faced with a more difficult problem.
Given a consecutive number sequence S 1, S 2, S 3, S 4 ... S x, ... S n (1 ≤ x ≤ n ≤ 1,000,000, -32768 ≤ S x ≤ 32767). We define a function sum(i, j) = S i + ... + S j (1 ≤ i ≤ j ≤ n).
Now given an integer m (m > 0), your task is to find m pairs of i and j which make sum(i 1, j 1) + sum(i 2, j 2) + sum(i 3, j 3) + ... + sum(im, j m) maximal (i x ≤ i y ≤ j x or i x ≤ j y ≤ j x is not allowed).
But I`m lazy, I don't want to write a special-judge module, so you don't have to output m pairs of i and j, just output the maximal summation of sum(i x, j x)(1 ≤ x ≤ m) instead. ^_^
Given a consecutive number sequence S 1, S 2, S 3, S 4 ... S x, ... S n (1 ≤ x ≤ n ≤ 1,000,000, -32768 ≤ S x ≤ 32767). We define a function sum(i, j) = S i + ... + S j (1 ≤ i ≤ j ≤ n).
Now given an integer m (m > 0), your task is to find m pairs of i and j which make sum(i 1, j 1) + sum(i 2, j 2) + sum(i 3, j 3) + ... + sum(im, j m) maximal (i x ≤ i y ≤ j x or i x ≤ j y ≤ j x is not allowed).
But I`m lazy, I don't want to write a special-judge module, so you don't have to output m pairs of i and j, just output the maximal summation of sum(i x, j x)(1 ≤ x ≤ m) instead. ^_^
Input
Each test case will begin with two integers m and n, followed by n integers S 1, S 2, S 3 ... S n.
Process to the end of file.
Process to the end of file.
Output
Output the maximal summation described above in one line.
Sample Input
1 3 1 2 32 6 -1 4 -2 3 -2 3
Sample Output
68
Hint
Huge input, scanf and dynamic programming is recommended.
动规方程:
dp[i][j]=前j个数选择i段的最大值
dp[i][j]=max(dp[i][j-1] , max{dp[i-1][k]} )+a[j] (i-1<=k<=j-1)
i独立成段:
其不独立成段,既与j-2成段
#include<cstdio>#include<algorithm>#include<cmath>#include<cstdlib>#include<cstring>#include<vector>using namespace std;const int maxn=1000005;typedef __int64 LL;int a[maxn],dp[maxn];int pre[maxn];//对应递推式的第二项int main()
{ int T; //freopen("Text//in.txt","r",stdin); int n,m; while(~scanf("%d%d",&m,&n)) { for(int i=1;i<=n;i++){ scanf("%d",a+i); dp[i]=pre[i]=0; } int mx; dp[0]=pre[0]=0; for(int i=1;i<=m;i++){ mx=-999999999; for(int j=i;j<=n;j++) { dp[j]=max(dp[j-1],pre[j-1])+a[j]; pre[j-1]=mx; mx=max(dp[j],mx); } } printf("%d\n",mx); } return 0;}
for(int j=i;j<=n;j++)
{
dp[j]=max(dp[j-1],pre[j-1])+a[j];
pre[j-1]=mx;
mx=max(dp[j],mx);
}
蓝色的表示其最大值
下面我来解释其具体怎么实现:
利用了动态数组,只保留了当前行和上一行,因为动规方程只用的到这两行,
pre【i】为上上一行i之前的最大值
而dp【i】则保留当前行
for(int j=i;j<=n;j++)
{
dp[j]=max(dp[j-1],pre[j-1])+a[j];
pre[j-1]=mx;
mx=max(dp[j],mx);
}
先利用上一行的j-1数据用于动规方程,
然后把pre[j-1]=mx赋值为当前行的前[j-1]行最小值
这样就保证了,pre[]向下循环
一下代码用于测试;
#include<cstdio>#include<algorithm>#include<cmath>#include<cstdlib>#include<cstring>#include<vector>using namespace std;const int maxn=1000005;typedef __int64 LL;int a[maxn],dp[maxn];int pre[maxn];//对应递推式的第二项int main(){ int T; //freopen("Text//in.txt","r",stdin); int n,m; while(~scanf("%d%d",&m,&n)){ for(int i=1;i<=n;i++){ scanf("%d",a+i); dp[i]=pre[i]=0; } int mx; dp[0]=pre[0]=0; for(int i=1;i<=m;i++){ mx=-99999; for(int j=i;j<=n;j++){ dp[j]=max(dp[j-1],pre[j-1])+a[j]; pre[j-1]=mx; mx=max(dp[j],mx); printf("\ndp:\n"); for(int k=1;k<n;k++) printf("%d ",dp[k]); printf("\npre\n"); for(int k=1;k<n;k++) printf("%d ",pre[k]); printf("\n"); } printf("\n*********************************\n"); } printf("%d\n",mx); } return 0;}
我把它写简明些:
#include<cstdio>#include<algorithm>#include<cmath>#include<cstdlib>#include<cstring>#include<vector>using namespace std;const int maxn=1000005;typedef __int64 LL;int a[maxn],dp[maxn];int pre[maxn];//对应递推式的第二项int main(){ int T; //freopen("Text//in.txt","r",stdin); int n,m; while(~scanf("%d%d",&m,&n)){ for(int i=1;i<=n;i++){ scanf("%d",a+i); dp[i]=pre[i]=0; } int mx; dp[0]=pre[0]=0; for(int i=1;i<=m;i++){mx=-99999;//一定是最小,因为当i==j时,其值一定加上a[j] for(int j=i;j<=n;j++)//dp[]中储存当前行,和以前行第一个数 { dp[j]=max(dp[j-1],pre[j-1])+a[j];//先用 pre[j-1]=mx;//后覆盖 mx=max(dp[j],mx);//求用于覆盖的最大数 } } printf("%d\n",mx); } return 0;}
0 0
- A - Max Sum Plus Plus——POJ
- A - Max Sum Plus Plus
- HDU 1024 — Max Sum Plus Plus
- hdu1244——Max Sum Plus Plus Plus
- Max Sum Plus Plus
- Max Sum Plus Plus
- Max Sum Plus Plus
- Max Sum Plus Plus
- Max Sum Plus Plus
- Max Sum Plus Plus
- Max Sum Plus Plus
- Max Sum Plus Plus
- Max Sum Plus Plus
- Max Sum Plus Plus
- Max Sum Plus Plus
- Max Sum Plus Plus
- HDU1024——Max Sum Plus Plus(DP)
- HDU 1024——Max Sum Plus Plus
- jsp数据传递到后台为中文乱码的解决方法
- Yii 设置redis缓存
- 组态软件与oracle数据库的连接简介
- 侧滑菜单
- CSS学习(九)——构造颜色、背景和图像
- A - Max Sum Plus Plus——POJ
- 自定义UICollectionViewLayout实现瀑布流
- 后台任务序列化与IntentService
- centos 6.x sftp配置
- 登录页面密码显示隐藏功能
- 将一个字符串逆序
- ijkplayer阅读学习笔记之从代码上看播放流程
- Android 抽屉效果的导航菜单实现
- Oracle-hugepages_settings.sh