HDU 1024 Max Sum Plus Plus [动态规划+m子段和的最大值]

Max Sum Plus Plus


Limit: 2000/1000 MS (Java/Others)    Memory Limit: 65536/32768 K (Java/Others)
Total Submission(s): 22262    Accepted Submission(s): 7484
 
Problem Description
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 S1, S2, S3, S4 ... Sx, ... Sn (1 ≤ x ≤ n ≤ 1,000,000, -32768 ≤ Sx ≤ 32767). We define a function sum(i, j) = Si + ... + Sj (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(i1, j1) + sum(i2, j2) + sum(i3, j3) + ... + sum(im, jm) maximal (ix ≤ iy ≤ jx or ix ≤ jy ≤ jx 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(ix, jx)(1 ≤ x ≤ m) instead. ^_^
 
Input
Each test case will begin with two integers m and n, followed by n integers S1, S2, S3 ... Sn.
Process to the end of file.
 
Output
Output the maximal summation described above in one line.
 
Sample Input
1 3 1 2 3 2 6 -1 4 -2 3 -2 3
 
Sample Output

6 8

[题意]:输入一个m,n分别表示成m组,一共有n个数即将n个数分成m组,m组的和加起来得到最大值并输出。

[分析]:

状态dp[i][j]表示前j个数分成i组的最大值。

动态转移方程:dp[i][j]=max(dp[i][j-1]+a[j],max(dp[i-1][k])+a[j]) (0<k<j)

dp[i][j-1]+a[j]表示的是前j-1分成i组,第j个必须放在前一组里面。

max( dp[i-1][k] ) + a[j] )表示的前(0<k<j)分成i-1组,第j个单独分成一组。

但是题目的数据量比较到,时间复杂度为n^3,n<=1000000,显然会超时,继续优化。

max( dp[i-1][k] ) 就是上一组 0....j-1 的最大值。我们可以在每次计算dp[i][j]的时候记录下前j个
的最大值 用数组保存下来 ,这样时间复杂度为 n^2。

 

[代码]:

 1 /*
 2 输入一个m,n分别表示成m组,一共有n个数
 3 即将n个数分成m组,
 4 m组的和加起来得到最大值并输出。
 5 */
 6 #include <bits/stdc++.h>
 7 using namespace std;
 8 const int N=1000000;
 9 #define INF 0x7fffffff
10 
11 int a[N+10];
12 int dp[N+10],Max[N+10];
13 
14 int main()
15 {
16     int n,m,maxs;
17     while(~scanf("%d%d",&m,&n))
18     {
19         for(int i=1;i<=n;i++)
20         {
21             scanf("%d",&a[i]);
22         }
23         memset(dp,0,sizeof(dp));
24         memset(Max,0,sizeof(Max));
25 
26         for(int i=1;i<=m;i++)
27         {
28             maxs=-INF;
29             for(int j=i;j<=n;j++)
30             {
31                 dp[j]=max(dp[j-1]+a[j], Max[j-1]+a[j]);
32                 Max[j-1]=maxs;
33                 maxs=max(maxs, dp[j]);
34             }
35         }
36         printf("%d
",maxs);
37     }
38 }
线性DP
原文地址:https://www.cnblogs.com/Roni-i/p/8423951.html