题目链接:传送门
Max Sum Plus Plus
Time Limit: 2000/1000 MS (Java/Others) Memory Limit: 65536/32768 K (Java/Others)Total Submission(s): 34604 Accepted Submission(s): 12363
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 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(i m, 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(i m, 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.
解题思路:
我们用dp[i][j]表示前j个数划分为k段的最大和,且以第j个数结尾。
于是有状态转移方程dp[i][j] = max(dp[i][j-1],dp[i-1][k])+data[j] (i-1 <= k <= j-1)。
这里我们可以用滚动数组对上述方程的空间进行优化。
用r[j]表示dp[i-1][k]的最大值,dp[j]表示dp[i][j],于是有dp[j] = max(dp[j-1],r[j-1])+data[j]。而r的值可由上一层的dp值得到。
代码:
#include <iostream> #include <stack> #include <vector> #include <cstdio> #include <cstring> #include <cmath> #include <algorithm> using namespace std; typedef long long llt; const int N = 1000010; const int M = 510; const llt INF = 0x3ffffffffffffff; const int mod = 10000; llt r[N],dp[N],data[N]; int main() { int m,n; llt c; while(~scanf("%d%d",&m,&n)){ for(int i = 1; i <= n; ++i) scanf("%lld",&data[i]); memset(r,0,sizeof(r)); for(int i = 1; i <= m; ++i){ c = -INF; for(int j = i; j <= n; ++j){ dp[j] = max(dp[j-1],r[j-1])+data[j]; r[j-1] = c; c = max(c,dp[j]); } } printf("%lld\n",c); } return 0; }