传送门: http://poj.org/problem?id=1050 To the Max Time Limit: 1000MS   Memory Limit: 10000K Total Submissions: 52306   Accepted: 27646 Description Given a two-dimensional array of positive and negative integers, a sub-rectangle is any contiguous sub-arr…

http://poj.org/problem?id=1050 我们已经知道求最大子段和的dp算法 参考here  也可参考编程之美有关最大子矩阵和部分. 然后将这个扩大到二维就是这道题.顺便说一下,有时候不要把问题想复杂了,有些问题只能靠暴力求解,而这道题是暴力加算法. 在这个题中,我们可以把二维压缩到一维然后求解最大子段.我们先枚举所求矩阵的起点行和结束行,然后把每一列的数据之和求出,用这些数据和就构造出一个一维的数组(代码中我没有明确表示出这个数组),然后用最大子段和的dp算法求解. 关于二…

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. I…

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 probl…

To the Max Time Limit: 1000MSMemory Limit: 10000K Total Submissions: 38573Accepted: 20350 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 t…

题目链接 题意:给定N*N的矩阵,求该矩阵中和最大的子矩阵的和. 题解:把二维转化成一维,算下就好了. #include <cstdio> #include <cstring> #include <algorithm> using namespace std; typedef long long ll; ; ll ans=-,tmp,data[N][N],a[N]; ,ansj1=,ansi2=,ansj2=,tmp1=,tmp2=,n,m; int main() {…

转载请注明出处:http://blog.csdn.net/u012860063 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…

To the Max   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…

题意:一个N * N的矩阵,求子矩阵的最大和(N <= 100, -127 <= 矩阵元素 <= 127). 题目链接:http://poj.org/problem?id=1050 -->>将二维压缩为一维.对一维进行dp求解. 将二维压缩成一维: 1.第1行 2.第2行加第1行 3.第3行加第2行加第1行 -- N.第N行加第N-1行加--加第1行 1.第2行 2.第3行加第2行 -- 1.第N行 对于一维情况.设dp[i]表示以第i个元素结尾的最大连续和,则状态转移方程为…

题目链接:http://poj.org/problem?id=1050 思路分析: 该题目为经典的最大子矩阵和问题,属于线性dp问题:最大子矩阵为最大连续子段和的推广情况,最大连续子段和为一维问题,而最大子矩阵为二维问题, 可以考虑将二维问题转换为一维问题,即变为最大子段和问题即可求解: 先考虑暴力解法,暴力解法需要枚举子矩阵的左上角元素的坐标与子矩阵的右下角坐标即可枚举所有的子矩阵:对于每个子矩阵,考虑压缩子矩阵的每一列 元素,即求每一列的元素的和,这样子矩阵就转换为一维的情况,再使用最大子段…