Given a 2D board containing 'X' and 'O'(the letter O), capture all regions surrounded by 'X'.

A region is captured by flipping all 'O's into 'X's in that surrounded region.

Example:

X X X X
X O O X
X X O X
X O X X

After running your function, the board should be:

X X X X
X X X X
X X X X
X O X X

Explanation:

Surrounded regions shouldn’t be on the border, which means that any 'O' on the border of the board are not flipped to 'X'. Any 'O' that is not on the border and it is not connected to an 'O' on the border will be flipped to 'X'. Two cells are connected if they are adjacent cells connected horizontally or vertically.

这是道关于 XXOO 的题,有点像围棋,将包住的O都变成X,但不同的是边缘的O不算被包围,跟之前那道 Number of Islands 很类似,都可以用 DFS 来解。刚开始我的思路是 DFS 遍历中间的O,如果没有到达边缘,都变成X,如果到达了边缘,将之前变成X的再变回来。但是这样做非常的不方便,在网上看到大家普遍的做法是扫矩阵的四条边,如果有O,则用 DFS 遍历,将所有连着的O都变成另一个字符,比如 \$,这样剩下的O都是被包围的,然后将这些O变成X,把$变回O就行了。代码如下:

解法一:

class Solution {
public:
void solve(vector<vector<char> >& board) {
for (int i = ; i < board.size(); ++i) {
for (int j = ; j < board[i].size(); ++j) {
if ((i == || i == board.size() - || j == || j == board[i].size() - ) && board[i][j] == 'O')
solveDFS(board, i, j);
}
}
for (int i = ; i < board.size(); ++i) {
for (int j = ; j < board[i].size(); ++j) {
if (board[i][j] == 'O') board[i][j] = 'X';
if (board[i][j] == '$') board[i][j] = 'O';
}
}
}
void solveDFS(vector<vector<char> > &board, int i, int j) {
if (board[i][j] == 'O') {
board[i][j] = '$';
if (i > && board[i - ][j] == 'O')
solveDFS(board, i - , j);
if (j < board[i].size() - && board[i][j + ] == 'O')
solveDFS(board, i, j + );
if (i < board.size() - && board[i + ][j] == 'O')
solveDFS(board, i + , j);
if (j > && board[i][j - ] == 'O')
solveDFS(board, i, j - );
}
}
};

很久以前,上面的代码中最后一个 if 中必须是 j > 1 而不是 j > 0,为啥 j > 0 无法通过 OJ 的最后一个大数据集合,博主开始也不知道其中奥秘,直到被另一个网友提醒在本地机子上可以通过最后一个大数据集合,于是博主也写了一个程序来验证,请参见验证 LeetCode Surrounded Regions 包围区域的DFS方法,发现 j > 0 是正确的,可以得到相同的结果。神奇的是,现在用 j > 0  也可以通过 OJ 了。

下面这种解法还是 DFS 解法,只是递归函数的写法稍有不同,但是本质上并没有太大的区别,参见代码如下:

解法二:

class Solution {
public:
void solve(vector<vector<char>>& board) {
if (board.empty() || board[].empty()) return;
int m = board.size(), n = board[].size();
for (int i = ; i < m; ++i) {
for (int j = ; j < n; ++j) {
if (i == || i == m - || j == || j == n - ) {
if (board[i][j] == 'O') dfs(board, i , j);
}
}
}
for (int i = ; i < m; ++i) {
for (int j = ; j < n; ++j) {
if (board[i][j] == 'O') board[i][j] = 'X';
if (board[i][j] == '$') board[i][j] = 'O';
}
}
}
void dfs(vector<vector<char>> &board, int x, int y) {
int m = board.size(), n = board[].size();
vector<vector<int>> dir{{,-},{-,},{,},{,}};
board[x][y] = '$';
for (int i = ; i < dir.size(); ++i) {
int dx = x + dir[i][], dy = y + dir[i][];
if (dx >= && dx < m && dy > && dy < n && board[dx][dy] == 'O') {
dfs(board, dx, dy);
}
}
}
};

我们也可以使用迭代的解法,但是整体的思路还是一样的,在找到边界上的O后,然后利用队列 queue 进行 BFS 查找和其相连的所有O,然后都标记上美元号。最后的处理还是先把所有的O变成X,然后再把美元号变回O即可,参见代码如下:

解法三:

class Solution {
public:
void solve(vector<vector<char>>& board) {
if (board.empty() || board[].empty()) return;
int m = board.size(), n = board[].size();
for (int i = ; i < m; ++i) {
for (int j = ; j < n; ++j) {
if (i != && i != m - && j != && j != n - ) continue;
if (board[i][j] != 'O') continue;
board[i][j] = '$';
queue<int> q{{i * n + j}};
while (!q.empty()) {
int t = q.front(), x = t / n, y = t % n; q.pop();
if (x >= && board[x - ][y] == 'O') {board[x - ][y] = '$'; q.push(t - n);}
if (x < m - && board[x + ][y] == 'O') {board[x + ][y] = '$'; q.push(t + n);}
if (y >= && board[x][y - ] == 'O') {board[x][y - ] = '$'; q.push(t - );}
if (y < n - && board[x][y + ] == 'O') {board[x][y + ] = '$'; q.push(t + );}
}
}
}
for (int i = ; i < m; ++i) {
for (int j = ; j < n; ++j) {
if (board[i][j] == 'O') board[i][j] = 'X';
if (board[i][j] == '$') board[i][j] = 'O';
}
}
}
};

Github 同步地址:

https://github.com/grandyang/leetcode/issues/130

类似题目:

Number of Islands

Walls and Gates

参考资料:

https://leetcode.com/problems/surrounded-regions/

https://leetcode.com/problems/surrounded-regions/discuss/41895/Share-my-clean-Java-Code

https://leetcode.com/problems/surrounded-regions/discuss/41825/Simple-BFS-solution-easy-to-understand

https://leetcode.com/problems/surrounded-regions/discuss/41612/A-really-simple-and-readable-C%2B%2B-solutionuff0conly-cost-12ms

LeetCode All in One 题目讲解汇总(持续更新中...)

[LeetCode] 130. Surrounded Regions 包围区域的更多相关文章

  1. [LeetCode] Surrounded Regions 包围区域

    Given a 2D board containing 'X' and 'O', capture all regions surrounded by 'X'. A region is captured ...

  2. 验证LeetCode Surrounded Regions 包围区域的DFS方法

    在LeetCode中的Surrounded Regions 包围区域这道题中,我们发现用DFS方法中的最后一个条件必须是j > 1,如下面的红色字体所示,如果写成j > 0的话无法通过OJ ...

  3. [LintCode] Surrounded Regions 包围区域

    Given a 2D board containing 'X' and 'O', capture all regions surrounded by 'X'. A region is captured ...

  4. Java for LeetCode 130 Surrounded Regions

    Given a 2D board containing 'X' and 'O', capture all regions surrounded by 'X'. A region is captured ...

  5. Surrounded Regions 包围区域——dfs

    Given a 2D board containing 'X' and 'O', capture all regions surrounded by 'X'. A region is captured ...

  6. Leetcode 130. Surrounded Regions

    Given a 2D board containing 'X' and 'O' (the letter O), capture all regions surrounded by 'X'. A reg ...

  7. 130. Surrounded Regions(周围区域问题 广度优先)(代码未完成!!)

    Given a 2D board containing 'X' and 'O' (the letter O), capture all regions surrounded by 'X'. A reg ...

  8. leetcode 130 Surrounded Regions(BFS)

    Given a 2D board containing 'X' and 'O', capture all regions surrounded by 'X'. A region is captured ...

  9. Leetcode 130 Surrounded Regions DFS

    将内部的O点变成X input X X X XX O O X X X O XX O X X output X X X XX X X XX X X XX O X X DFS的基本框架是 void dfs ...

随机推荐

  1. java文件操作File类

    1.文件路径操作 测试方法 @Test public void test5() { StringBuffer succBuffer = new StringBuffer("D:\\home\ ...

  2. Kubernetes 静态PV使用

    Kubernetes  静态PV使用 Kubernetes支持持久卷的存储插件:https://kubernetes.io/docs/concepts/storage/persistent-volum ...

  3. TEXT_CONVERT_XLS_TO_SAP 错误排查

    转自:https://blog.csdn.net/ityangjia/article/details/88827308 本文链接:https://blog.csdn.net/ityangjia/art ...

  4. WPF-数据模板深入(加载XML类型数据)

    一.我们知道WPF数据模板是当我们给定一个数据类型,我们为这个数据类型写好布局,就给这种数据类型穿上了外衣. 下面这个例子,能够帮助大家充分理解数据模板就是数据类型的外衣的意思:(里面的MyListB ...

  5. SqlServer 开篇简介

    实例:我们的电脑中可以安装一个或多个SqlServer实例,每一个SqlServer实例可以包含一个或者多个数据库. 架构:数据库中,又有一个或者多个架构.架构里面包含:表,视图,存储过程. 文件与文 ...

  6. CTF必备技能丨Linux Pwn入门教程——stack canary与绕过的思路

    Linux Pwn入门教程系列分享如约而至,本套课程是作者依据i春秋Pwn入门课程中的技术分类,并结合近几年赛事中出现的题目和文章整理出一份相对完整的Linux Pwn教程. 教程仅针对i386/am ...

  7. bat脚本里面if else if的写法

    曾经困扰了很久的bat脚本,如果里面包含多种条件判断,就必须要试用if,else if,else的写法了.尝试了很久,终于找到规律: 第一种写法:最简单,就是写一行. @echo off rem 写一 ...

  8. Mongodb基础 学习小结

    MongoDB是一个基于分布式文件存储的数据库.由C++语言编写.旨在为WEB应用提供可扩展的高性能数据存储解决方案.MongoDB是一个介于关系数据库和非关系数据库之间的产品,是非关系数据库当中功能 ...

  9. Linux 信号量之Posix基于内存的信号量

    信号量(semaphore),也和互斥锁一样提供了线程间或者进程间的同步功能. 信号量有三种: Posix有名字的信号量 Posix基于内存的信号量 System V信号量 信号量比互斥锁高级,互斥锁 ...

  10. django + pycharm 开局

    1. 首先有 python3 2. 安装了pycharm 3. 配置开局 下面是用的全局的解释器,如果是用的虚拟环境的,Existing interpreter  选择虚拟环境的解释器. 4. set ...