To The Max

Time Limit: 2000/1000 MS (Java/Others)    Memory Limit: 65536/32768 K (Java/Others)

Total Submission(s): 10839    Accepted Submission(s): 5191

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
4
0 -2 -7 0 9 2 -6 2
-4 1 -4 1 -1
8 0 -2
 
Sample Output
15
 
题目大意:给一个N*N的矩阵求解最大的子矩阵和
解法:压缩数组+暴力(水过)
源代码:
<span style="font-size:18px;">#include<iostream>
#include<stdio.h>
#include<stdlib.h>
#include<string>
#include<string.h>
#include<math.h>
#include<map>
#include<vector>
#include<algorithm>
#include<queue>
using namespace std;
#define MAX 0x3f3f3f3f
#define MIN -0x3f3f3f3f
#define PI 3.14159265358979323
#define N 105
int n;
int ans[N][N];
int value(int x, int y)
{
int sum;
int i, j;
sum = 0;
for (i = 1; i <= n; i++)
{
for (j = 1; j <= n; j++)
{
if (i >= x&&j >= y)
sum = max(sum, ans[i][j] + ans[i - x][j - y] - ans[i - x][j] - ans[i][j - y]);
if (i >= y&&j >= x)
sum = max(sum, ans[i][j] + ans[i - y][j - x] - ans[i - y][j] - ans[i][j - x]);
}
}
return sum;
}
int main()
{
int i, j;
int result;
int num;
int temp;
while (scanf("%d", &n) != EOF)
{
memset(ans, 0, sizeof(ans));
for (i = 1; i <= n; i++)
{
for (j = 1; j <= n; j++)
{
scanf("%d", &num);
ans[i][j] = ans[i - 1][j] + ans[i][j - 1] - ans[i - 1][j - 1] + num;
}
}
result = 0;
for (i = 1; i <= n; i++)
{
for (j = i; j <= n; j++)
{
temp = value(i, j);
if (temp > result)
result = temp;
}
}
printf("%d\n", result);
}
return 0;
}</span>


ACM HDU 1081 To The Max的更多相关文章

  1. hdu 1081 To The Max(dp+化二维为一维)

    题目链接:http://acm.hdu.edu.cn/showproblem.php?pid=1081 To The Max Time Limit: 2000/1000 MS (Java/Others ...

  2. dp - 最大子矩阵和 - HDU 1081 To The Max

    To The Max Problem's Link: http://acm.hdu.edu.cn/showproblem.php?pid=1081 Mean: 求N*N数字矩阵的最大子矩阵和. ana ...

  3. HDU 1081 To The Max【dp,思维】

    HDU 1081 题意:给定二维矩阵,求数组的子矩阵的元素和最大是多少. 题解:这个相当于求最大连续子序列和的加强版,把一维变成了二维. 先看看一维怎么办的: int getsum() { ; int ...

  4. Hdu 1081 To The Max

    To The Max Time Limit: 2000/1000 MS (Java/Others)    Memory Limit: 65536/32768 K (Java/Others)Total ...

  5. URAL 1146 Maximum Sum & HDU 1081 To The Max (DP)

    点我看题目 题意 : 给你一个n*n的矩阵,让你找一个子矩阵要求和最大. 思路 : 这个题都看了好多天了,一直不会做,今天娅楠美女给讲了,要转化成一维的,也就是说每一列存的是前几列的和,也就是说 0 ...

  6. HDU 1081 To The Max(动态规划)

    题目链接 Problem Description Given a two-dimensional array of positive and negative integers, a sub-rect ...

  7. hdu 1081 To The Max(二维压缩的最大连续序列)(最大矩阵和)

    Problem Description Given a two-dimensional array of positive and negative integers, a sub-rectangle ...

  8. HDU 1081 To The Max (dp)

    题目链接 Problem Description Given a two-dimensional array of positive and negative integers, a sub-rect ...

  9. HDU 1081 To the Max 最大子矩阵(动态规划求最大连续子序列和)

    Description Given a two-dimensional array of positive and negative integers, a sub-rectangle is any ...

随机推荐

  1. yii2之依赖注入与依赖注入容器

    一.为什么需要依赖注入 首先我们先不管什么是依赖注入,先来分析一下没有使用依赖注入会有什么样的结果.假设我们有一个gmail邮件服务类GMail,然后有另一个类User,User类需要使用发邮件的功能 ...

  2. PHP操作Memcached

    一.PHP连接Memcached: 一个简单的使用示例: $memcache = new Memcache; $memcache->connect("127.0.0.1",1 ...

  3. 关于 Swift 4 中内存安全访问

    前言 本文主要翻译今年 The Swift Programming Language (Swift 4) 中新出的章节 -<Memory Safety>.在 Swift 4 中,内存安全访 ...

  4. struts2系列(四):struts2国际化的多种方式

    一.struts2国际化原理 根据不同的Locale读取不同的文本. 例如有两个资源文件: 第一个:message_zh_CN.properties 第二个:message_en_US.propert ...

  5. WPF获得全局窗体句柄,并响应全局键盘事件

    场景 wpf窗体运行后,只能捕获当前Active窗体的按键事件,如果要监听windows全局事件,并对当前窗口事件响应. 第一步:导入Winows API public class Win32 { [ ...

  6. mybatis 参数为list时,校验list是否为空

    校验objStatusList 是否为空 <if test="objStatusList != null and objStatusList.size() > 0 "& ...

  7. 机器学习之三:logistic回归(最优化)

    一般来说,回归不用在分类问题上,因为回归是连续型模型,而且受噪声影响比较大.如果非要应用进入,可以使用logistic回归. logistic回归本质上是线性回归,只是在特征到结果的映射中加入了一层函 ...

  8. 原生JS实现Ajax及Ajax的跨域请求

      前  言          如今,从事前端方面的程序猿们,如果,不懂一些前后台的数据交互方面的知识的话,估计都不太好意思说自己是程序猿.当然,如今有着许多的框架,都有相对应的前后台数据交互的方法. ...

  9. poj 3662 Telephone Lines

    Telephone Lines Time Limit: 1000MS   Memory Limit: 65536K Total Submissions: 7115   Accepted: 2603 D ...

  10. Phalanx

    Phalanx Time Limit:5000MS     Memory Limit:32768KB     64bit IO Format:%I64d & %I64u Submit Stat ...