ZOJ Problem Set - 1074 To the Max (最大和子矩阵 dp)
2017-10-25 16:12
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Time Limit:1000MS Memory
Limit:10000KB 64bit IO Format:%I64d & %I64u
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
The input consists of an N * 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). The
4000
se 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
Sample Output
题意:把一个具有最大和的子矩阵作为最大子矩阵。
本题直接模拟是要超时的,需要用到动态规划算法。
设数组b表示数组a的i~j行,对应列元素的和。
然后对数组b计算最大子段和,这就将二维动态规划问题转化为了一维动态规划问题。
三重循环,算法时间复杂度为O(n^3).
Limit:10000KB 64bit IO Format:%I64d & %I64u
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
The input consists of an N * 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). The
4000
se 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
题意:把一个具有最大和的子矩阵作为最大子矩阵。
本题直接模拟是要超时的,需要用到动态规划算法。
设数组b表示数组a的i~j行,对应列元素的和。
然后对数组b计算最大子段和,这就将二维动态规划问题转化为了一维动态规划问题。
#include <cstdio> #include <cstring> #include <iostream> using namespace std; int n,sum,f,max; int b[20000]; int dp[150][150]; int main(){ f=-10; cin>>n; for(int i=0;i<n;i++) { cin>>dp[i][j]; } for(int k=0;k<n;k++)//行 { memset(b,0,sizeof(b)); for(int i=k;i<n;i++)// { for(int j=0;j<n;j++)//每行 b[j]+=dp[i][j]; for(int i=0;i<n;i++) { if(sum<0) sum=b[i]; else sum+=b[i]; if(max<sum) max=sum; } if(f<max) f=max; } } cout<<f<<endl; return 0; }
三重循环,算法时间复杂度为O(n^3).
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