hdu 1081 To The Max(二维最大连续和)

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To The Max

                                                                  Time Limit: 2000/1000 MS (Java/Others)    Memory Limit: 65536/32768 K (Java/Others)
                                                                                 Total Submission(s): 8735    Accepted Submission(s): 4234


Problem Description
Given a two-dimensional array of positive and negative integers, a sub-rectangle is any contiguous sub-array of size 1 x 1 or greater located within the whole array. The sum of a rectangle is the sum of all the elements in that rectangle. In this problem the sub-rectangle with the largest sum is referred to as the maximal sub-rectangle.

As an example, the maximal sub-rectangle of the array:

0 -2 -7 0
9 2 -6 2
-4 1 -4 1
-1 8 0 -2

is in the lower left corner:

9 2
-4 1
-1 8

and has a sum of 15.
 

Input
The input consists of an N x N array of integers. The input begins with a single positive integer N on a line by itself, indicating the size of the square two-dimensional array. This is followed by N 2 integers separated by whitespace (spaces and newlines). These are the N 2 integers of the array, presented in row-major order. That is, all numbers in the first row, left to right, then all numbers in the second row, left to right, etc. N may be as large as 100. The numbers in the array will be in the range [-127,127].
 

Output
Output the sum of the maximal sub-rectangle.
 

Sample Input
40 -2 -7 0 9 2 -6 2-4 1 -4 1 -18 0 -2
 

Sample Output
15
 

Source
Greater New York 2001
 

   题意:
            求出最大子矩阵的和
   题解:
           sum[i][j]表示第i行前j个元素的和,这样第i列到第j列之间的元素和就可以通过sum[k][j]-sum[k][i-1]算出来了,并看成一个元素,这样就成了n个元素的最大连续和(杭电1003题),枚举i,j就可以算出最大值。

代码:
#include <iostream>#include <cstdio>#include <cstring>#include <algorithm>using namespace std;int sum[110][110];int main(){    int n;    while(~scanf("%d",&n))    {        int a,ans=-99999999;       // memset(sum,0,sizeof(sum));        for(int i=1;i<=n;i++)        {            for(int j=1;j<=n;j++)            {                scanf("%d",&a);                sum[i][j]=sum[i][j-1]+a;//第i行前j个元素之和            }        }        for(int i=1;i<=n;i++)        {            for(int j=i;j<=n;j++)            {                int temp=0;                for(int k=1;k<=n;k++)//第i列到第j列的情况,最大连续和算法                {                    temp+=(sum[k][j]-sum[k][i-1]);                    if(temp>ans)                    ans=temp;                    if(temp<0)                    temp=0;                }            }        }        printf("%d\n",ans);    }    return 0;}


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