hdu 1024 最大M子段和
2016-03-28 10:06
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Max Sum Plus Plus
[b]Time Limit: 2000/1000 MS (Java/Others) Memory Limit: 65536/32768 K (Java/Others)Total Submission(s): 23234 Accepted Submission(s): 7922[/b]
[align=left]Problem Description[/align]
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. ^_^
[align=left]Input[/align]
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.
[align=left]Output[/align]
Output the maximal summation described above in one line.
[align=left]Sample Input[/align]
1 3 1 2 3
2 6 -1 4 -2 3 -2 3
[align=left]Sample Output[/align]
6
8
Hint
Huge input, scanf and dynamic programming is recommended.
[align=left]Author[/align]
JGShining(极光炫影)
推荐两篇blog:http://blog.sina.com.cn/s/blog_677a3eb30100jxqa.html
http://www.cnblogs.com/kuangbin/archive/2011/08/04/2127085.html
#include <iostream> #include<cstring> #include<algorithm> using namespace std; int main() { int m,n; int i,j; int max_dp; while(cin>>m>>n)//求n个数的数列的最大m子段和 { int *a=new int[n+1]; int *dp=new int[n+1];//dp[j]表示包括a[j]在内的最大i子段和 int *pre_max_dp=new int[n+1];//pre_max_dp[j]表示a[1]~a[j]的最大i-1子段和 //初始化 for(int count=1;count<=n;count++) { dp[count]=0; pre_max_dp[count]=0; cin>>a[count]; } dp[0]=pre_max_dp[0]=0; for(i=1;i<=m;i++) { max_dp=INT_MIN;//max_dp表示a[1]~a[j]的最大i子段和,初始化为不可能值 for(j=i;j<=n;j++)//j有i个子段,j>=i { dp[j]=max(dp[j-1]+a[j],pre_max_dp[j-1]+a[j]); pre_max_dp[j-1]=max_dp;//更新数据,在i++后使用 max_dp=max(max_dp,dp[j]); } } cout<<max_dp<<endl;//结束后的max_dp即为a[1]~a 的最大m子段和 delete[] a; delete[] dp; delete[] pre_max_dp; }//end of while return 0; }
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