hdu 1081 To The Max(最大子矩阵)
2014-08-12 09:13
344 查看
题目链接:http://acm.hdu.edu.cn/showproblem.php?pid=1081
[align=left]Problem Description[/align]
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.
[align=left]Input[/align]
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].
[align=left]Output[/align]
Output the sum of the maximal sub-rectangle.
[align=left]Sample Input[/align]
4
0 -2 -7 0 9 2 -6 2
-4 1 -4 1 -1
8 0 -2
[align=left]Sample Output[/align]
15
题意就是给你一个n*n的矩阵,求最大子矩阵的和。。
首先我们会求一维的最大连续和,dp[i]表示以i结尾的最大连续和,那么有
if(dp[i]>0)
dp[i+1]=dp[i]+a[i];
else
dp[i+1]=a[i];
那么最大的和res就是dp[i]中的最大值了。。
我们把这个二维的转换为一维的即可,我们枚举枚举行,直接给出核心代码
for(int i=1;i<=n;i++)
{
memset(b,0,sizeof(b));
for(int j=i;j<=n;j++)
{
int sum=0;
for(int k=1;k<=n;k++) //求出从i行到j行的每一列的和
b[k]+=a[j][k];
for(int l=1;l<=n;l++) //一维的求解方法
{
if(sum>0)
sum+=b[l];
else
sum=b[l];
if(sum>max)
max=sum;
}
}
}
我们用b数组求出从i行到j行的每一列的和,这样我们就得到一个一维的序列,然后用一维的算法即可。。
完整的代码:
#include<stdio.h>
#include<string.h>
#include<iostream>
#include<algorithm>
#include<string>
#include<math.h>
#include<stdlib.h>
#include<map>
#include<queue>
#define max(x,y)x>y?x:y
#define min(x,y)x<y?x:y
using namespace std;
const int maxn=110;
int a[maxn][maxn],b[maxn];
int main()
{
//freopen("in.txt","r",stdin);
int n;
while(scanf("%d",&n)==1)
{
for(int i=1;i<=n;i++)
for(int j=1;j<=n;j++)
scanf("%d",&a[i][j]);
int max=-999999999;
for(int i=1;i<=n;i++)
{
memset(b,0,sizeof(b));
for(int j=i;j<=n;j++)
{
int sum=0;
for(int k=1;k<=n;k++)
b[k]+=a[j][k];
for(int l=1;l<=n;l++)
{
if(sum>0)
sum+=b[l];
else
sum=b[l];
if(sum>max)
max=sum;
}
}
}
printf("%d\n",max);
}
return 0;
}
[align=left]Problem Description[/align]
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.
[align=left]Input[/align]
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].
[align=left]Output[/align]
Output the sum of the maximal sub-rectangle.
[align=left]Sample Input[/align]
4
0 -2 -7 0 9 2 -6 2
-4 1 -4 1 -1
8 0 -2
[align=left]Sample Output[/align]
15
题意就是给你一个n*n的矩阵,求最大子矩阵的和。。
首先我们会求一维的最大连续和,dp[i]表示以i结尾的最大连续和,那么有
if(dp[i]>0)
dp[i+1]=dp[i]+a[i];
else
dp[i+1]=a[i];
那么最大的和res就是dp[i]中的最大值了。。
我们把这个二维的转换为一维的即可,我们枚举枚举行,直接给出核心代码
for(int i=1;i<=n;i++)
{
memset(b,0,sizeof(b));
for(int j=i;j<=n;j++)
{
int sum=0;
for(int k=1;k<=n;k++) //求出从i行到j行的每一列的和
b[k]+=a[j][k];
for(int l=1;l<=n;l++) //一维的求解方法
{
if(sum>0)
sum+=b[l];
else
sum=b[l];
if(sum>max)
max=sum;
}
}
}
我们用b数组求出从i行到j行的每一列的和,这样我们就得到一个一维的序列,然后用一维的算法即可。。
完整的代码:
#include<stdio.h>
#include<string.h>
#include<iostream>
#include<algorithm>
#include<string>
#include<math.h>
#include<stdlib.h>
#include<map>
#include<queue>
#define max(x,y)x>y?x:y
#define min(x,y)x<y?x:y
using namespace std;
const int maxn=110;
int a[maxn][maxn],b[maxn];
int main()
{
//freopen("in.txt","r",stdin);
int n;
while(scanf("%d",&n)==1)
{
for(int i=1;i<=n;i++)
for(int j=1;j<=n;j++)
scanf("%d",&a[i][j]);
int max=-999999999;
for(int i=1;i<=n;i++)
{
memset(b,0,sizeof(b));
for(int j=i;j<=n;j++)
{
int sum=0;
for(int k=1;k<=n;k++)
b[k]+=a[j][k];
for(int l=1;l<=n;l++)
{
if(sum>0)
sum+=b[l];
else
sum=b[l];
if(sum>max)
max=sum;
}
}
}
printf("%d\n",max);
}
return 0;
}
相关文章推荐
- hdu-1081 To The Max (最大子矩阵和)
- hdu1081 To The Max--DP(最大子矩阵和)
- hdu 1081 To The Max ****poj 1050(最大子矩阵和)DP
- HDU 1081 To The Max(最大子矩阵和)
- hdu 1081 To The Max(最大子矩阵)
- HDU 1081 & POJ 1050 To The Max (最大子矩阵和)
- HDU 1081 To The Max(最大子矩阵和)
- HDU 1081 To The Max(最大子矩阵和)
- HDU 1081 To The Max(dp最大子矩阵和)
- HDU 1081 To The Max 最大子矩阵和 .
- HDU - 1081 To The Max ( 最大子矩阵)
- HDU 1081 To The Max--DP--(最大子矩阵)
- HDU 1081 To The Max(dp最大子矩阵和)
- hdu 1081 To The Max(最大子矩阵和,dp)
- HDU 1081 To The Max(最大子矩阵)
- hdu 1081 To The Max(最大子矩阵和)
- dp - 最大子矩阵和 - HDU 1081 To The Max
- hdu 1081 To The Max 最大子矩阵和(dp)
- hdu 1081、poj1050 To The Max 最大子矩阵和
- hdu 1081 To The Max 【最大子矩阵和】