poj 1050 To the Max(動態規劃處理二維最大子段和)
阿新 • • 發佈:2018-12-31
2、題目大意:
給一個N,然後給定一個N*N的二維陣列,然後求一個子矩陣,使得其中的數加起來和最大
3、思路:
將二維陣列轉換成一維陣列,假設二維陣列是M行N列,那麼將二維陣列分成N條,用dp[i]記錄第i列的和(可以是任意連續長度,for迴圈就能實現),那麼將dp[i]看做一個一個的數,就轉換成了一維的陣列
核心程式碼:
for(int i=1;i<=n;i++)//迴圈從第一行開始,往下找,i作為每一條的起始點
{
memset(dp,0,sizeof(dp));
for(int j=i;j<=n;j++)
{
for(int k=1;k<=n;k++)
dp[k]+=a[j][k];//求出每一條起點是i,終點是j的長度區間的和
int sum=maxsum(dp,n);//轉換成一維陣列後,處理就跟一位陣列的程式碼完全一樣
if(sum>max)
max=sum;
}
memset(dp,0,sizeof(dp));
}
3、題目:
To the MaxTime Limit: 1000MS | Memory Limit: 10000K |
Total Submissions: 34519 | Accepted: 18104 |
Description
Given a two-dimensional array of positive and negative integers, a sub-rectangle is any contiguous sub-array of size 1*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
Output
Sample Input
4 0 -2 -7 0 9 2 -6 2 -4 1 -4 1 -1 8 0 -2
Sample Output
15
4、一遍ac的程式碼:
#include<stdio.h>
#include<string.h>
#include<algorithm>
using namespace std;
int a[110][110];
int dp[110];
int b[110];
int maxsum(int *bb,int n)
{
int max=-9999999;
b[0]=max;
for(int i=1;i<=n;i++)
{
if(b[i-1]>0)
b[i]=b[i-1]+bb[i];
if(b[i-1]<0)
b[i]=bb[i];
if(b[i]>max)
max=b[i];
}
return max;
}
int main()
{
int n,max=-99999999;
scanf("%d",&n);
for(int i=1;i<=n;i++)
{
for(int j=1;j<=n;j++)
{
scanf("%d",&a[i][j]);
}
}
for(int i=1;i<=n;i++)
{
memset(dp,0,sizeof(dp));
for(int j=i;j<=n;j++)
{
for(int k=1;k<=n;k++)
dp[k]+=a[j][k];
int sum=maxsum(dp,n);
if(sum>max)
max=sum;
}
memset(dp,0,sizeof(dp));
}
printf("%d\n",max);
return 0;
}
/*
4
0 -2 -7 0 9 2 -6 2
-4 1 -4 1 -1
8 0 -2
*/