To The Max
Time Limit: 2000/1000 MS (Java/Others) Memory Limit: 65536/32768 K (Java/Others)
Total Submission(s): 5023 Accepted Submission(s):
2384
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.
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
4
0 -2 -7 0 9 2 -6 2
-4 1 -4 1 -1
8 0 -2
Sample Output
15
1 #include<stdio.h> 2 #include<string.h> 3 int a[101][101],max[101]; 4 int main() 5 { 6 int maxsum,r,c,m,n,i,j; 7 while(scanf("%d",&n)!=EOF) 8 { 9 for(i=1;i<=n;++i) 10 for(j=1;j<=n;++j) 11 { 12 scanf("%d",&a[i][j]); 13 a[i][j]+=a[i-1][j]; 14 } 15 maxsum=a[1][1]; 16 for(i=0;i<n;++i)//注意这里技巧,从零开始; 17 { 18 for(j=i+1;j<=n;++j) 19 { 20 memset(max,0,sizeof(max)); 21 for(m=1;m<=n;++m) 22 { 23 if(max[m-1]>=0) 24 max[m]=max[m-1]+a[j][m]-a[i][m];//a[j][m]-a[i][m]即为第m列中第i+1行到第j行之和 25 else 26 max[m]=a[j][m]-a[i][m]; 27 if(maxsum<max[m]) 28 maxsum=max[m]; 29 } 30 } 31 } 32 printf("%d\n",maxsum); 33 } 34 return 0; 35 }