力扣_数组27—最大矩形

本文介绍了一种算法,用于在给定的二维二进制矩阵中找到只包含数字1的最大矩形,并返回其面积。利用动态规划的思想,通过遍历矩阵和维护柱状图高度,结合栈来求解最大矩形的宽度,从而得到面积。

摘要生成于 C知道 ,由 DeepSeek-R1 满血版支持, 前往体验 >

题目

给定一个仅包含 0 和 1 、大小为 rows x cols 的二维二进制矩阵,找出只包含 1 的最大矩形,并返回其面积。

思路

  • 分别计算以第 i i i 行为底的最大矩形
  • 计算以第 i i i 行为底的最大矩形
    • 借用“柱状图中最大的矩形”的计算思路
    • 遍历第 i i i 行,若 m a t r i x [ i ] [ j ] = = 0 matrix[i][j] == 0 matrix[i][j]==0,则 j j j 处柱子高度为 0 0 0;若 m a t r i x [ i ] [ j ] = = 1 matrix[i][j] == 1 matrix[i][j]==1,则 j j j 处柱子高度为 m a t r i x [ i − 1 ] [ j ] matrix[i-1][j] matrix[i1][j] 处柱子高度 + 1 +1 +1
    • 例如: m a t r i x = [ [ " 1 " , " 0 " , " 1 " , " 0 " , " 0 " ] , [ " 1 " , " 0 " , " 1 " , " 1 " , " 1 " ] , [ " 1 " , " 1 " , " 1 " , " 1 " , " 1 " ] , [ " 1 " , " 0 " , " 0 " , " 1 " , " 0 " ] ] matrix = [["1","0","1","0","0"],["1","0","1","1","1"],["1","1","1","1","1"],["1","0","0","1","0"]] matrix=[["1","0","1","0","0"],["1","0","1","1","1"],["1","1","1","1","1"],["1","0","0","1","0"]]
      • 第一层柱状图的高度[“1”,“0”,“1”,“0”,“0”]
      • 第二层柱状图的高度[“2”,“0”,“2”,“1”,“1”]
      • 第三层柱状图的高度[“3”,“1”,“3”,“2”,“2”]
      • 第四层柱状图的高度[“4”,“0”,“0”,“3”,“0”]

代码

class Solution {
public:
    int maximalRectangle(vector<vector<char>>& matrix) {
        int m = matrix.size();
        int n = matrix[0].size();
        int ret = 0;
        vector<int> row(n, 0);
        for(int i = 0; i < m; i++){
            for(int j = 0; j < n; j++){
                if(matrix[i][j] == '0')
                    row[j] = 0;
                else
                    row[j] += 1;
            }
            ret = max(ret, largestRectangleArea(row));
        }
        return ret;
    }
    int largestRectangleArea(vector<int>& heights){
        int n = heights.size();
        stack<int> stk;
        stk.push(-1);
        vector<int> l2r;
        int ret = 0;
        for(int i = 0; i < n; i++){
            while(stk.top() != -1 && heights[stk.top()] >= heights[i]){
                ret = max(ret, heights[stk.top()]*(i-l2r[stk.top()]-1));
                stk.pop();
            }
            l2r.push_back(stk.top());
            stk.push(i);
        }
        while(stk.top() != -1){
            ret = max(ret, heights[stk.top()]*(n-l2r[stk.top()]-1));
            stk.pop();
        }
        return ret;
    }
};
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值